1 Submitted to the American Journal of Physics
The impact of epistemology on learning: A case study from introductoryphysics
Laura Lising* and Andrew ElbyDepartment of Physics, University of Maryland, College Park, Maryland 20742
We discuss a case study of the influence of epistemology on learning for a student in anintroductory college physics course. An analysis of videotaped class work, written work,and interviews indicates that many of the studentâs difficulties were epistemological innature. Our primary goal is to show instructors and curriculum developers that a studentâsepistemological stance â her ideas about knowledge and learning â can have a direct,causal influence on her learning of physics. This influence exists even when research-based curriculum materials provide implicit epistemological support. For this reason,curriculum materials and teaching techniques could become more effective by explicitlyattending to studentsâ epistemologies.
I. INTRODUCTION
In the past 15 years, physics education researchershave identified student difficulties in learning a broad rangeof physics concepts. Curricula targeting these difficultieshave produced dramatically improved conceptualunderstanding.1 In recent years, the physics educationresearch community also has begun to look at studentattitudes, expectations, and epistemologies (ideas aboutknowledge and learning).2,3,4 For instance, students maythink of physics knowledge as disconnected facts andformulas, or as interconnected concepts (often expressible asformulas). Students may think of learning physics asabsorbing information from authority or as building up theirown ideas.5 This discipline-specific epistemology researchbuilds on extensive research on more generalizedepistemology.6
The recent focus on epistemology in physics educationstems in part from two motivating ideas: (i) Studentsâepistemologies may affect their science learning. In thatcase, attending to epistemology may help us explain thevariations in student learning outcomes with research-basedcurricula, create more effective curricula, and become betterphysics instructors. (ii) Fostering productive attitudes andepistemologies is in itself an important instructionaloutcome that could serve the students well beyond thecourse in question.
Our study addresses the first of these ideas and buildson previous research on college and pre-college learners.Most previous research has looked at correlations betweenepistemological measures and learning outcomes, findingthat specific clusters of epistemological beliefs correlatewith academic outcomes such as grade point average7 andmathematical text comprehension.8 In the physical sciences,one study found that certain epistemological beliefs correlatewith integrated conceptual understanding in middle school,9
while another found a correlation with ninth-gradersâ abilityto reason on applied tasks.10 In college physics, May andEtkina found correlations between studentsâ gains onstandard conceptual measures and their epistemologies asinferred from weekly written reflections on their ownlearning.11
A few studies have gone beyond these correlationsto look at the causal influence of epistemology on studentsâlearning behavior. These studies, generally carried out byobserving students in the process of learning, have
attempted to describe not just whether, but how learning isaffected by epistemology and related factors. An excellentexample is Hoganâs thorough study on eighth-graders inwhich she observed relationships between studentsââpersonal frameworks for science learningâ and their socialand cognitive engagement patterns during group learning.12
Ryder and Leachâs study found some correlations betweencollege studentsâ ideas about the nature of scientificknowledge and their self-reported activities duringinvestigative project work.13 Millar et al. observed that,among 9 to 14-year-olds, studentsâ interpretations ofclassroom inquiry tasks varied according to their perceptionsof the aims of scientific investigation.14 Taylor-Robertsonfound differences in cognitive strategies used by collegestudents according to their expectations of themeaningfulness of laboratory work,15 and Edmondson foundcorrelations between studentsâ reported learning strategiesand their epistemological stances as derived frominterviews.16 Dweckâs work with students of varied agesshowed some dramatic differences in learning behavior inthe classroom which depended on studentsâ ideas about thenature of intelligence.17 And Hammerâs study on collegestudents described how studentsâ ideas about knowledge andlearning in physics affected how they solved physicshomework problems during think-aloud interviews.2 Takentogether, these studies suggest a causal link betweenepistemology and learning and also raise new questions andissues. One issue is the distinction between personal andpublic epistemologies. Public epistemology encompasses astudentâs ideas about the nature of knowledge and learningfor society as a whole - or for a disciplinary community.Personal epistemology concerns a studentâs ideas about herown knowledge and learning. A studentâs public andpersonal epistemologies can differ significantly. Forinstance, a student may doubt the possibility of coherencein her own knowledge (personal epistemology), but mayexpect scientists to seek and find coherence (publicepistemology). Some of the previous correlation studieshave looked at only one of these aspects of epistemology,while others have not made this distinction. Of the threeâpersonal frameworks for science learningâ in Hoganâsresearch, one aligns fairly closely with personalepistemology while another aligns with publicepistemology. She found that personal epistemology waslinked strongly to the studentsâ behavior, while publicepistemology showed almost no effect. Thus her results
2 Submitted to the American Journal of Physics
point toward personal epistemology as being much morerelevant to learning. For that reason, we focus on thepersonal epistemology of our student subject. This paperbuilds more on the work of Hogan,12 Hammer,2 and Mayand Etkina,11 which focused on personal epistemology, thanon the other studies mentioned above,3,4,7-10,13-16 whichlooked at public epistemology or a combination of personaland public epistemology and other attitude-related variables.
To build on this line of research, we have done anin-depth and naturalistic case study of a single student todistill and carefully describe the likely causal mechanisms.Of course, a case study cannot produce definitive,generalizable results about causality. But it can add depthand detail to the perceptive toolkit of the instructor andcurriculum developer by exploring specific causalmechanisms that might explain the correlations, and it cangenerate specific hypotheses about causal mechanisms forlater testing in controlled-intervention studies. Thefollowing hypothetical example illustrates this point.Suppose a correlation is found between how quickly peoplelearn rock climbing skills and how many safe exposures toheights they experienced as children. A possible causalmechanism underlying this correlation might be that lack ofsafe exposure to heights as children leads to a fear ofheights, which then leads to some learners making morecautious movements. Case studies of a few slow-learningnovice rock climbers might shed light on this hypothesis.As they first attempt new moves, do they give clues to theirfear of heights verbally or physiologically? Can we rule outother possible causes by watching their behavior in detail? Ifso, the next step toward establishing causal mechanismmight be a controlled-intervention study, safely exposingchildren to heights, enrolling them in a rock climbing class15 years later, and comparing their learning speed to acontrol group who received a different intervention aschildren (for example, reading about rock climbing). Ourgoal is to develop a plausible existence argument anddescriptive analysis for one particular causal mechanismbetween epistemology and learning, a mechanism that wehope will be tested in future controlled-interventionexperiments.
The various previous studies we have cited alsovary in the extent to which they disentangled studentsâpersonal epistemologies from their expectations aboutwhatâs rewarded in a particular course. It can be difficult todistinguish between what a student thinks is productive forher learning and what she perceives is required by theteacher or the curriculum. Yet these can be quite disparate attimes. Hammerâs work with one student illustrates anexample where a student ruefully and self-consciouslyabandoned her productive learning strategies to survive in amemorization-focused physics course.18 A 1999 study byElby gave some insight into the magnitude of theepistemology/expectations gap.19
Yet another issue arising in previous studies is thecontext-sensitivity of studentsâ epistemologies. Survey-based research on studentsâ epistemologies has establisheddifferences in approaches according to discipline, motivatingresearch that is discipline-specific (such as Ref. 3).However, studies that involved observations of learningbehaviors and studies with multiple epistemologicalassessments also uncovered a sensitivity of epistemology tocontext within a given discipline. Hogan, for example,
found that epistemologies assessed in interviews differedfrom the approaches students took in class. One mightexpect this difference between studentsâ tacit ideas and theirexplicitly articulated ones, but Hoganâs interview methodsincluded elicitation of tacit ideas through scenario-posing.12
Thus it has become clear that taking context-sensitivity intoaccount when designing studies and analyzing data is crucialin understanding epistemology and learning.
In our study, we look at a student, âJanâ and studyboth her personal epistemology and her learning anddescribe how one affects the other. By analyzing bothepistemology and learning from the same set of classroomdata, we avoid many context-related interpretive challengesand also provide a description that is immediately relevantto classroom learning and instruction. We use a separate setof data from interviews for a supplementary analysis,carefully accounting for context-driven differences andfactors that point to public epistemology, expectations, andother influences. From this analysis, we are able to describedirect, causal links that are likely to exist between Janâsepistemology and her learning in the classroom. Due to thedifficulty of making and describing such an in-depthargument about causality, we will do so for only one facetof Janâs epistemology, although Jan certainly possesses awide array of ideas about knowledge and learning. We willfocus only on how Jan selected and used conceptualresources in her physics learning, and not on other facets ofher epistemology such as whether she treated knowledge asstatic or evolving.
After discussing our methods in Sec. II, we present inSec. III two examples of Janâs classroom behavior in groupwork. In Sec. IV we use these examples to argue that acomponent of Janâs epistemology, her perception of a âwallâbetween formal reasoning and everyday/intuitive reasoning,contributes to her troubles learning the material. We thenuse an independent data set from clinical interviews to arguethat Janâs epistemology does include this âwall.â Section IValso addresses alternative, non-epistemological explanationsof Janâs classroom behavior. Although some of those factorscontribute to Janâs actions, we argue that no combination ofthem adequately accounts for her behavior, unless ourepistemological explanation is included. This strengthensour case for a causal link between Janâs epistemology andher learning. In Sec. V we summarize this argument anddiscuss implications for instruction and research.
II. METHODS
IIA. Selection of our case study subject and collection ofdata
The subject of this case study, Jan, was a third-yearstudent in the second semester of an algebra-basedintroductory physics course at the University of Maryland.The course, taken by about 100 students and taught by aphysics education researcher, consisted of 3 hours per weekof interactive lectures (including interactive lecturedemonstrations20 and other physics education researchinspired elements), one hour of tutorial (worksheet-ledconceptual group work21), and two hours of traditional-stylelaboratories. Jan had taken this courseâs prerequisite in theprevious semester in a large lecture, purely traditionalformat from a different professor. Although we willhighlight some of Janâs difficulties, overall she was a
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capable student. She has excellent mathematical skills, didwell on the more traditional homework problems, and putin considerable effort, seeking help from peers. Someconcepts she learned quite deeply while others she did not.
Jan was in one of the two groups of students wevideotaped working in tutorials and laboratories over thecourse of the semester. For Janâs group, we had two usablehours of videotape. The other videotapes of her group wereunusable because they were inaudible or because thediscussion focused primarily on logistics rather than physicsconcepts. From among the students in her group, we choseto study Jan because she was neither a top nor a low-performing student, and because we believed that we wereseeing epistemological indications in her behavior that wecould explore with further analysis. (Again, since we aretrying to make an existence argument and a descriptiveanalysis for a certain mechanism, rather than a generalizableconclusion, a random representative sample isnât necessary.)The following semester, she agreed to undergo sixinterviews about student reasoning with one of us (AE),whom she had not met previously. Over the following yearthe interviews were audiotaped and transcribed. Jan received$10 per interview. The first four interviews consistedprimarily of Jan reasoning aloud in response to physicsquestions about real-world objects and phenomena. Thefinal two interviews consisted of more formal, quantitativeproblems and of increasingly direct probes of Janâsepistemology.
IIB. Analysis of the data and interpretation of theresults
We reviewed the two usable hours of videotapedclassroom data and looked for instances in whichepistemology seemed to affect Janâs approach to learningand doing physics. From this review we developed ahypothesis about Janâs epistemology and its causalrelationship to her learning. To test this hypothesis, weattempted to explain her classroom behavior in non-epistemological terms, by focusing on expectations (herperceptions of what is rewarded in the course), confidence,skills and habits, and the social dynamics in her tutorialgroup and in the interviews. We also used Janâs writtenhomework to test predictions of the hypothesis we generatedfrom the classroom and interview data. To quantify patternsin Janâs reasoning during the interviews, we developed andapplied a coding scheme designed to pinpoint when sheused formal, classroom-taught reasoning versus âeverydayâand intuitive informal reasoning; when she was sense-making versus just trying to remember or throwing outideas with little thought; and when she attempted toreconcile different lines of reasoning. We describe thisscheme more fully in Sec. IV.
III. CLASSROOM DATA
IIIA. Episode 1: The electric field tutorial
The earliest usable video segment shows the studentsworking for an hour on a tutorial developed at theUniversity of Maryland to address student difficulties withthe concept of the electric field. At this time in thesemester, the four students (Jan, Veronica, Carl, and Nancy)have been working together for just a few weeks. Early inthe tutorial, students find the electric force, F, exerted by a
single, stationary source charge, Q, on several test charges,q, of differing magnitudes placed at the same point. Theythen work out the ratio of the force to the test charge, definethe field, E, as the ratio, and then continue to explore whichfactors affect the field and which do not. The main point ofthis part of tutorial is that E expresses the influence of thesource charge in a way that doesnât depend on the testcharge used to âmeasureâ that influence. The full transcriptappears in the Appendix22 of the electronically archivedversion of this paper.
Jan participates quite a bit, as do Veronica and Nancy.During the first part of the hour, Jan answers the tutorialworksheet questions using mathematical reasoning.Specifically, she reasons using the functional dependencesbetween force, charge, and field in the relations F = kQq/r2
and E = F/q. While doing so, she makes a series of errorsthat her group members and the teaching assistants catchand help her correct. After the students look at the forces,the worksheet asks them to describe the dependence of theelectric field on the magnitude of the test charge. Veronicafigures out that the field is independent of the test chargeand Jan agrees with her. However, a few minutes later, Janclaims she doesnât get it, and explains her math reasoning.Veronica helps her and Jan eventually seems to understand.
Veronica: Itâs the same ratio, cause the higher the testcharge the bigger the force.Jan: Right, so theyâre proportional.[Veronica and Nancy digress for a while and thenVeronica explains the ratio idea to Nancy.]Jan: I donât really get that, though. Cause like youknow how you were saying that E = F/q. Cause likethey're saying that that's - Veronica: Itâs force per test charge. So if you have abig test charge itâsâŠJan: I thought that meant that the electric field i sgonna get, if you have a small one, then the E-field i sgonna be big. But then if you have, cause you know,cause like my understanding is that it says likedescribes the ratio of the force felt by the test chargeand the strength of the test charge, right?Veronica: Yeah the q changes, but that makes the forcedifferent.Jan: So itâs not the E-field that changes but the forcethat changes.
When asked to consider the E-field at a differentdistance, Jan claims it cannot change. This time Nancycorrects Janâs math error.
Jan: No, but what I am saying is E is equal to F over q,right? That doesnât include radius in it.Nancy: But F includes, um, includes r. Jan: Becausefurther away is smaller.
When asked to consider how the field changes whenthe source charge changes, again Jan returns to E = F/q, thistime reasoning as if q represented the source charge ratherthan the test charge. Nancy tries to make a non-mathematical argument, but Jan ignores her.
Jan: If q is on the bottom.Nancy: The point charge becoming smaller is the samething as the distance becoming greater. It affects theoutcome of this yet, so itâs the same thing.Jan: If this [q] becomes smaller then that [F] becomesbigger. Thatâs all it is, right?
Later, when the TA asserts that the field doesnâtdepend on the test charge, Jan protests that it does andVeronica agrees with Jan, using the erroneous mathreasoning that Jan has been persistently using (reasoning
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with the formula E = F/q while ignoring the functionaldependence of F on q), and Jan verifies that this is what sheis thinking. Veronica immediately catches her own error,but Jan does not comment, continuing to appear confused.
It is important to notice that Jan is using mathematicalreasoning that is sophisticated for this population.Confronted with an equation, she does not try to plug andchug. Instead, she tries to extract information from thefunctional dependencies of different quantities; sheâs good atattending to proportionalities and inverse proportionalities.However, despite her facility with mathematics, she makesseveral math errors. Although she is corrected each time andacknowledges her mistake, four times in a row, Jan makesthe same math error, repeatedly reasoning with the equationE = F/q without considering the fact that the force Fdepends on distance and on the test charge, the veryquantities she is being asked to vary.
Jans problem here seems to be her failure to check hermathematical reasoning against her common sensereasoning. Specifically, she does not link her math to asense of physical mechanism in the way that Veronica does.For instance, it is highly unlikely that Jan would findsensible her prediction that the field does not change as thedistance changes, were she to think it through intuitively. Itis unlikely that she would continue to ignore the functionaldependencies of F in the relation E = F/q were sheattending to more than just mathematical accuracy each timea group member corrects her. In the interviews, Janconsiders it obvious that greater distance leads to weakerfields. She momentarily acknowledges her understanding ofthis common sense idea in class by emphasizing âBecausefurther away is smallerâ in response to Nancyâs comment.But then she ignores this idea, returning to reasoning withE = F/q in isolation, as if the common sense ideas wereirrelevant. Jan seems almost not to even hear the nextattempt by Nancy to make a common sense argument, andthen says about the mathematical reasoning, âThatâs all itis, right?â
We think this behavior is both a window into Janâsepistemology and evidence of how it is affecting herlearning. In the following discussion, we propose that Janâsepistemology is causing her to act as if a âwallâ separatesformal reasoning from informal, common-sense reasoningand that this wall accounts for her lack of checking hermathematical answers against her informal understanding.
IIB. The light and shadow tutorial
Eight weeks later, the same four students are workingon the Light and Shadow Tutorial .21 The group has severallight bulbs, a board with several small apertures, and a largescreen. They manipulate the bulbs and apertures and observethe changes in the pattern of light on the screen. As thestudents work through the activities, the worksheet guidesthem to build a model of light to explain their observations.Early in the hour, the students observe that moving the bulbto the right causes the bright spot on the screen to move tothe left, the opposite direction.
While attempting to answer the worksheet question,âWhat do your observations suggest about the path taken bylight from the bulb to the screen?,â Jan initiates adiscussion of physical mechanism.
Jan: So does that mean that the path is not a straightline? . . . Does that mean itâs reflecting?
Nancy: Oh, thatâs a good point. I donât know.Veronica: No, thereâs no mirror for it to reflect off.Jan: But itâs not direct, right? Cause if it were direct,then wouldnât it move up when we move the thing up?Veronica: No. Because itâs going like this. When youmove it up. Itâs going through a hole. Well, I mean, Iguess it is reflected light. Cause look, hereâs the hole.Itâs down here. Itâs going to go through the hole likethat. You know what I mean? Because itâs its positionrelative to that hole.Jan: But I mean, if it, if if it was direct, right, then thelight wouldnât come through if it wasnât aligned.Veronica: If it was direct, then it would go like this.[gesturing horizontally with hand from light bulb,bangs into board above aperture to show that lightwould not pass through]Jan: Right. Thatâs what I mean.Veronica: It would hit, it would just hit the board.Well, the light goes out, like that, like that. So, itâsgoing to go, whatever path of that light itâs going tohit right through the circle, itâs going to keep goingstraight that way.Jan: Right.
Veronica seems confused about the âreflectingâ andâdirectâ issues, but may realize that she and Jan might meansomething different by âdirect.â So Veronica then goes onto explain in everyday language what she thinks ishappening. Jan indicates that she understands. The dialoguecontinues with Veronica helping the group to understandhow the model explains their observations.
Nancy: How is it possible for the things to, like whenwe have the two bulbs, for one little circle to create thetwo . . .Veronica: Because they are two different directions.Oneâs going in like that and one is going in like that.Jan: So you are saying that . . .Nancy: But whatâs the normal direction of the light?Cause thatâs what Iâm asking.Veronica: It, it spans out, and whatever part goesthrough that circle is the part weâre going to see.Jan: [drawing as she talks] So the light is like that andthese are the rays, and the vector points that way willgo through the hole.Nancy: Okay, so then if you move it up, then itâsgoing to be?Carl: So if here is the hole and the light is down here,the light is going to go in the direction âŠJan: Right, so like it has[Nancy, Jan, and Carl talking, unintelligible]Veronica: Really, itâs just normal.Jan: All the rays are going like this. So, itâs kind oflike polarized.Veronica: Mmm, not really.
Janâs behavior here is puzzling. She is engaged andindicates her understanding of othersâ explanations, but sheis using more technical and mathematical language: ârays,ââvector,â and âpolarized.â Her use of this last term isparticularly striking. What is Jan doing in this exchange? Isshe, like the others, trying to make sense of herobservations and her groupâs explanations, or is somethingelse going on? Veronica takes on this issue.
Veronica: Itâs just, well, itâs just, guys youâre makingit, youâre trying to make it more difficult. Itâs just, thelight goes out. It only goes through that one circle.So, obviously, if it is down here, and Iâm lookingthrough that circle. Look, youâre sitting down here.Youâre looking at this big cardboard. Youâre looking
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through that little circle. All youâre going to see i swhatâs up there. Itâs a direct line.
In accusing the group of âtrying to make it moredifficultâ than it really is, Veronica suggests that somethingother than simple sense-making is going on. Why wouldthe group â and Jan in particular â do this? Fortunately, Jantells us what she is up to.
Jan: Look, I see what youâre saying, alright. But, Iâmjust trying to make it like physics- physics-oriented.[laughs]Veronica: It is, it is physics-oriented. Thatâs just theway it is.Jan: Alright.
Janâs behavior during this episode seems puzzling atfirst, but Jan is quite explicit in describing her motives.âIâm just trying to make it like, physics- physics-oriented.âHer words and her behavior reveal her epistemology and itsimpact on her choices. Although she desists whenchallenged by Veronica, Jan strongly implies that she is notlooking for an informal, common-sense explanation.
We should notice that, in searching for the moreformal explanation and rejecting the common-sense one, Janstill claims to understand what the group has beendiscussing. (âI see what youâre saying.â) It may be that Janis considering the intuitive explanation but searching formore technical language for the worksheet. Alternatively, itmay be that Janâs rejection includes passing up anopportunity to understand intuitively. In isolation, herbehavior here cannot distinguish these two possibilities.However, her homework sheds light on this issue byrevealing a lack of understanding on Janâs part. Theassignment asks students to apply the model for light theyjust constructed. When asked to predict the shape and sizeof a shadow, Jan draws straight lines indicating the rays oflight from the bulb. However, her rays reach only theblocking object and do not extend all the way to the screen.She does not attempt to answer the question further andwhen asked to explain her prediction writes, âI donât knowhow else to think about it except for the rays from the lightbulb.â This directly contradicts the understanding sheclaims to have had during the discussion. If she reallyunderstood what Veronica was saying, she would haveanother way of thinking about it, the common-sense wayVeronica keeps describing. (âLook, youâre sitting downhere. Youâre looking at this big cardboard ⊠All youâregoing to see âŠâ) Veronica, using this understanding, givescomplete and correct qualitative and quantitative responseson the homework, whereas Janâs formal labeling of thephenomena has not given her enough real understanding foreither task.
When we combine this information from herhomework with the statements she makes, theepistemological implications become clearer. As in the firstepisode (with E = F/q), Jan behaves as if common sensereasoning is a separate endeavor from formal(mathematical or technical) reasoning, and that sheconsiders only the latter to be âphysics-oriented.â
IV. DISCUSSION
IVA. Preliminary hypothesis: Janâs epistemology placesa barrier between formal and everyday reasoning
From these two episodes we make our preliminaryinterpretation. Janâs learning behavior seems to be strongly
affected by her epistemology. In particular, Janâsepistemology divides the reasoning that can be used tounderstand physical phenomena into two disparatecategories: formal, technical reasoning and everyday,intuitive reasoning. Between these two types of reasoning isa barrier (a âwall,â metaphorically) that keeps Jan fromlooking for connections between ideas from the differentsides.
Jan is quite adept at some types of formal reasoning.An open question for us at this point is how adept is she atinformal reasoning. However, we claim that even if Jan wereto use informal reasoning or accept that of her peers, hertendency not to link the formal and informal wouldcontinue to cause her difficulties.
In the following, we evaluate and expand ourhypothesis in two ways: by analyzing additional interviewdata, and by exploring several counter-hypotheses (alternateinterpretations that donât involve this epistemologicalmechanism).
IVB. Results from the interviews: Jan uses everydayreasoning more often but still shows evidence of theepistemological barrier between formal and everydayreasoning.
Given Janâs behavior in the tutorials, what stands outmost in the interviews is her willingness to approachproblems using the kind of everyday knowledge andintuitive reasoning that we see her rejecting in tutorial.Often she immediately responds to a question usingeveryday/intuitive reasoning. Other times, if a formal line ofreasoning doesnât work for her, she switches toeveryday/intuitive reasoning. In the following example,from the third interview (3:243, interview 3, line 243), Janis asked whether it matters if you choose a long wrench or ashort wrench when loosening a stuck bolt.
Jan: Well I think it matters, I definitely think i tmatters. Because one of the things that we did inphysics was torque, and al-, you know when you haveto draw like a lever arm? And um, I think it was T = l r,is that what it was? I donât know.Interviewer: Whatâs l and whatâs r?Jan: Like, like, okay this is like the pivot point, youknow like here, and so you would draw like a line, andthis is like the place from which you are going tochange it, you know, or like, you knowâŠInterviewer: This is like where youâre holdingâŠJan: And you draw like some line here. I canâtremember exactly. I shouldâve learned physics better.I should keep these things in my mind. So I think likethe further you go out, you know, the easier, thatâs notto say you go all the way out, but as things, itâs betterif you have it here than if you have it here. I thinkwhat I can think about is like a door. Youâve got likethe hinge here and you know youâve got like theswinging door. I think if you push here [closer to thehinge] is the door is going to feel more heavy that ifyou push it out here [farther from the hinge].
Jan starts out here using formal reasoning, trying toapply the concept of torque and the (incorrect) formula T =Ir. However, she doesnât seem to understand the formula orremember how to use it. So then, after implying that shedoesnât trust her formal physics reasoning in this case, sheswitches gears and tries her common sense instead.Specifically, she comes up with an everyday experience(pushing a swinging door) that helps her solve the problem.
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In contrast to her behavior in the tutorial, we find that Jan isfar more likely to use everyday/intuitive reasoning to solvephysics problems in interviews. This does not mean thatJanâs preference for formal versus everyday/intuitivereasoning stems entirely from non-epistemological origins.Rather her epistemology might depend on context, a contextdependence we can account for in a âresource-basedâ (asopposed to âbelief-basedâ) cognitive framework.23 In theinterviews, Jan may (consciously or unconsciously) activatean epistemological resource that guides her to useeveryday/intuitive reasoning, a resource that stays âoffâ inthe classroom context.
This context-sensitivity of Janâs epistemology is thesubject of a separate paper.24 We believe that this context-sensitivity is good evidence against the notion ofepistemology as constructed of consistent, unitary, andcontext-insensitive beliefs, but we will not argue that pointin this paper. Our goal here is to make a detailedplausibility argument for the impact of epistemology onlearning. That argument relies on the detailed refutation ofcounterarguments. Thus we need to deeply analyze anaspect of Janâs epistemology that is fairly consistent acrossthe two contexts from which our data is based. Although wedo not take a âbeliefâ approach, we will spend most of theremaining discussion describing an aspect of Janâsepistemology that is somewhat âbelief-likeâ in these twocontexts.
Our data show that Janâs view of the âseparatenessâ offormal and everyday/intuitive reasoning is consistent acrosscontexts. To get at this issue in the interviews, we look atthe frequency with which Jan checks and reconciles multiplelines of reasoning. In the wrench example, for instance, Janhad an opportunity to reconcile her idea that torque isrelevant with her idea that the wrench problem resemblespushing a door. As teachers, we want Jan to ask herself,âDoes torque and the equation I thought of have anything todo with the door example Iâve given?â But Jan does not dothat. We claim that her failure to do so stems in part fromthe barrier she places between formal and everyday/intuitivereasoning; if those two kinds of reasoning arenât connected,it makes no sense to try to reconcile them.
In contrast, Jan often reconciles two lines of reasoningwhen theyâre both formal or when theyâre botheveryday/intuitive, For example, consider this exchangeabout a bowling ball swinging on a chain (1:33).
Interviewer: Imagine that hanging from the ceiling bya chain is a bowling ball, and somebody gets i tswinging back and forth, like a pendulum. Andyouâve got like a stick or a mallet and youâre allowedto whack as hard as you want, five times. And thepurpose of you whacking it is to get it swinging ashigh as possible, so my question is, how--what wouldyour strategy be for the whacking? How, and where inits swing would you want to whack it?Jan: I think Iâd probably want to whack it when itâskind of like on its way up, and whack it like from theside going up, do you know what I mean?Interviewer: Can you draw me a little--?Jan: Yeah, like the chain is this way, and so itâs on itsway up, right? [Drawing a picture of a pendulum withthe bowling ball at the lowest point.] So Iâd probablywhack it with the mallet right here.Interviewer: I see, and whatâs the, what sort oftriggered you to think that?Jan: Well, itâs already on its way up, so thereâs already
force there, right? And if you just add force in thesame direction, then itâs probably just going to addupInterviewer: So itâs like your adding onto somethingwhich is already there, as opposed to--?Jan: Trying to like oppose it, or to do something else.Interviewer: Right, so by that reasoning the veryworst thing that you could do is like hit it theopposite way, going to, trying to beat it into goingthe other way.Jan: Right, right. I mean, this would probably liketake a lot of energy out of you, but I think it would begood. [Laughing]Interviewer: Right, so each time you hit it, it wouldstart going a little bit higher, and to that effect. Cool,OK, as long as weâre on this big bowling ballpendulum, so letâs say that you are done whacking it,now itâs swinging higher, and--Jan: Itâs also like when you, have a person on a swing,well actually but when the person is on the swing youactually hit them when theyâre up here, but you pushthem that way, so⊠[Drawing a picture of a swing atitâs highest point.]Interviewer: Huh, what do you make of that?[Laughing.]Jan: I donât know [Laughing.] well, I mean itâs a littledifferent when a person is on a swing because itâs hardto get underneath them when theyâre like in thisposition.
Jan starts by reasoning that you should whack the ballwhen itâs going fastest (at the lowest point in the swing)because you want to add âforceâ to âforce.â We code this asintuitive rather than formal reasoning; although she says theword âforce,â she seems to be using it in an informal,colloquial way, as a term that expresses the âenergyâ orâmotionâ of an object. We think she is reasoning,intuitively, that you want to add whatever youâre going toadd whenever thereâs the most of the target âstuffâ alreadythere.
Janâs second line of reasoning comes from hereveryday experience. She thinks of pushing a person on aswing as an everyday instantiation of the problem at hand.But then she notices a conflict. When you push a person ona swing, you push at the high point of the swing, not thelow point she has decided would be best for the bowlingball. Notice that rather than ignore the conflict byabandoning one or the other line of reasoning, Janreconciles. She notes that, although we push people at thehigh point, this may not indicate the most efficientapproach; we canât push the swing at its low point âbecauseitâs hard to get underneath them when theyâre like in thisposition.â
Janâs successful reconciliation in the bowling ballexample but lack of reconciliation in the wrench example isconsistent with our epistemological hypothesis. She can andwill reconcile when she doesnât have to overcome the barrierbetween formal and everyday/intuitive knowledge. Thispattern emerged robustly in the coding results.
Thirty-six problems from the first five interviews werecoded. (Interview 6 had a different format.) Each line ofreasoning in each problem was coded as involvingeveryday/intuitive reasoning or formal reasoning. In thebowling ball example, for instance, we coded two lines ofeveryday/intuitive reasoning: the âadding âforceâ to âforceâargumentâ and the âanalogy to person on a swing.âAltogether we coded 106 lines of reasoning. Jan used
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everyday/intuitive reasoning three times as often as formalreasoning, 71 versus 22. (We discuss the remaining 13instances in the following.)
We then coded when Jan did or didnât reconcile givenan opportunity (generally a conflict or lack of connectionbetween two lines of reasoning.) Reconciliationopportunities involving two formal lines of reasoning ortwo everyday/intuitive lines of reasoning were coded asâwithin-type.â For instance, in the swinging bowling ballexample, Jan reconciles within-type between âadding âforceâto âforceââ and âanalogy to person on a swing.âReconciliation opportunities involving formal versuseveryday/intuitive lines of reasoning were coded asâbetween-type,â as illustrated in the wrench example withthe âtorque equationâ versus the âanalogy to pushing adoor.â Of the 36 coded reconciliation opportunities, Janreconciles about 40% of the time (14 reconciles.) To test ourhypothesis about Janâs epistemology, however, we mustlook for differences between her tendency to reconcile withintype versus between types.
Within type (28 coded opportunities), Jan reconciledabout half the time (13 reconciles.)25 Most are unprompted,and the others involve only mild prompting, as in thebowling ball problem when the interviewer says, âWhat doyou make of that?â By contrast, between types (8 codings),Jan reconciled only once.26 Although the number of codingsinvolved does not give very reliable statistics, the dramaticdifference between her within-type and between-typereconciliation rates, 46% versus 13%, supports ourattribution of a barrier between formal andeveryday/intuitive thinking in Janâs epistemology. Asummary of our findings is included in Figure 1.
At times Janâs reasoning seems to be neithereveryday/intuitive nor formal but rather a hybrid of the two.Thirteen of our 106 lines of reasoning were coded as hybrid.Hybrid reasoning is not a simple mix of the two othertypes. Rather, it is a type of reasoning in which theeveryday/intuitive and formal are already integrated. (Bycontrast, between-type reconciliation is an action to addressconflicts between everyday/intuitive and formal ideas thatare not already integrated.) For the hybrid reasoning tooccur, the ideas must have been integrated somehow atsome point in the past, probably involving multiplebetween-type reconciliations. This type is rare in beginningphysics students but is common in practicing scientists.The existence of a âhybridâ reasoning type seems tocontradict our hypothesis that Jan views formal andeveryday/intuitive reasoning as unconnected. However, ourhypothesis claims not that it is impossible for these typesof reasoning to be integrated for Jan, but rather that herepistemology generally prevents her from searching for theseconnections on her own. We found that most of Janâsintegrated formal and intuitive reasoning can be explained ina way that is consistent with our epistemologicalinterpretation. The instances of hybrid reasoning we foundwere either instances where the connection between theintuitive and formal were exceedingly transparent (almostunavoidable) or instances where the connections between theintuitive and formal had been stressed strongly andrepeatedly in the course. We believe that this effort by thecourse instructor on particular topics helped Jan scale theepistemological wall that normally would have preventedthese connections.
Our argument is that, due to Janâs epistemology, shedoes not search on her own for the connections between thetwo types of reasoning. As mentioned, in the interviewcoding, we found only one between-type reconciliation outof eight opportunities. This finding becomes morecompelling and interesting if we look in detail at this oneinstance. Jan is asked to explain the motion of a pencil thathas been thrown into the air (3:274). She starts with a lineof reasoning that we coded as hybrid, integrating hereveryday/intuitive ideas about a pencilâs motion with formalconcepts of velocity. Jan then discusses the influences ofgravity and air resistance and the âforce from your handâ ina hybrid fashion, but then gets confused about what happensto the force of the hand: Does it permanently die out at thepeak or is it still influencing the motion when the pencilcomes back down? At this point the interviewer pushes hervery strongly not to let that go, but to try to figure out whathappens to the force of the hand. Jan brings in her last,formal line of reasoning, discussing kinetic and potentialenergy, and uses it to explain how the âforce that you addedwould be energy that you gave it, which is beinginterconverted in the system [between kinetic andpotential],â and hence, the force (kinetic energy) from thehand is still there as the ball falls even though it died awaytemporarily at the peak (3:307). She is reconciling two linesof reasoning. However, this âbetween-typeâ reconciliation isweak in the sense that it was strongly prompted andinvolved a hybrid and a formal line of reasoning rather thanfully scaling the barrier between formal and
Results: 13/28 opportunities reconciled (46%)
Between-type Reconciliation Opportunities
Results: 1/8 opportunities reconciled (13%)
Idea 1.Everyday/Intuitive
Reasoning
Idea 1. FormalReasoning
Idea 2.Everyday/Intuitive
Idea 2.Formal
Within-type Reconciliation Opportunities
1. Everyday/Intuitive
1. Formal
2. Everyday/Intuitive
2. Formal
Figure 1. Reconciliation opportunities occur when therelationship between two ideas Jan is using is ripe forexamining. For instance, in the pendulum problem describedabove, the line of reasoning about adding force where themovement was greatest conflicted with the observation thatyou push a person on a swing at the turning points. If we callthe adding force idea âIdea 1â and the swing idea âIdea 2,â wesee that in the diagram this is a reconciliation opportunityrepresented by the topmost arrow, since Idea 1 and Idea 2 bothuse everyday/intuitive reasoning. Since Jan does reconcilethese two ideas, we count this in the results as a âwithin-typeâreconcile. The differences in the relative rates of reconciliationin the within-type and between-type categories support ourhypothesis of the wall Janâs epistemology places between thetwo reasoning types.
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everyday/intuitive. Given that Janâs lone instance of abetween-type reconciliation is weak, her tendency toreconcile only within type becomes a more robust codingresult.
To test the reliability of our coding, we trained aneducation researcher not previously involved with theproject and then had the coder apply our four coding stepsto a subset of our data, some randomly chosen problems,and others deliberately culled from cases we ourselvesconsidered particularly difficult. The external coder saw thesame general trends as we did in the preponderance ofeveryday/intuitive over formal or hybrid reasoning and inthe greater relative rate of within-type versus between-typereconciliation. To further validate this result, we thendescribed the specific reconciliation opportunities from ouroriginal codings. For each case, the coder decided whetherJan reconciled, compromised, âchecked,â or didnât reconcileat all. The external coderâs codings matched our codings80% of the time.27
In summary, in comparison to the classroom data, theinterviews yielded opposite results regarding Janâsinclination to use everyday/intuitive versus formalreasoning. The interviews also provide evidence that thesetwo types of reasoning can be integrated by Jan undercertain circumstances. However, both sets of data are robustin showing Janâs tendency not to look for connectionsbetween these two types of reasoning. What the interviewscannot establish completely is that this wall Jan placesbetween everyday/intuitive and formal reasoning accountsfor some of Janâs learning difficulties in the tutorials. Tofurther that argument, we must refute alternativeexplanations.
IVC. Refutation of alternative explanations: Janâsdifficulties cannot be accounted for withoutepistemology.
We now discuss other possible contributors to Janâsbehavior in the tutorials. Although some of these factorsplay a role in Janâs actions, no combination of these effects,without epistemology, can account for all that we observe.
i. Janâs difficulties are not due to lack of facility orconfidence with mathematics.
We might consider attributing Janâs repeated troublesusing E = F/q correctly in the electric field tutorial to a lackof facility or confidence with mathematics. However,evidence from that episode and from the interviews suggestsotherwise. We have already noted that Jan reasons in asophisticated manner with the equation E = F/q, using thefunctional dependencies between variables â in this caseproportionalities and inverse proportionalities â to drawinformation from the equation.
Perhaps even more striking, Jan shows the ability touse mathematics intuitively. She refers to herself as âaproportions personâ (2:194) and can formulate her ownequations to express her intuitive reasoning (for example1:128, 5:70), although she still differentiates theseequations ontologically from the classroom equations.Furthermore, she explicitly states her confidence in her useand learning of mathematics (for example 6:144).
ii. Janâs difficulties are not due to lack of skill witheveryday reasoning in physics.
One could argue that Jan simply lacks skill withinformal reasoning in physics, perhaps for lack of practice.This might explain, for example, why she would fail tocatch her math errors were she actually checking her mathagainst her informal reasoning. However, weak informalreasoning cannot explain why she rejects as ânot physics-orientedâ the common-sense reasoning of the rest of thegroup. Furthermore, it is clearly not the case that Jan lacksthis skill. In interviews, Jan proficiently uses common-sense, informal reasoning to work out physics problems.
iii. Janâs difficulties are not due to lack of skill atchecking.
Perhaps Jan fails to check her interpretations of E =F/q, and fails to check how well she actually understandsVeronicaâs model of light, because she has a generaltendency not to check her reasoning, or because sheâs notgood at checking. Again, the interviews suggest otherwise.In the 28 within-type reconciliation opportunities, therewere also 6 instances we coded either as "checking only,"when Jan makes sure one line of reasoning agrees with theanswer yielded by another line of reasoning (withoutreconciling or even comparing the two lines of reasoning),or as "compromise," when Jan glosses over rather thandirectly addresses a contradiction she notices between twolines of reasoning. Our point is that, in 19 of 28 instances(68%), Jan notices and in some way addresses a connectionbetween two lines of reasoning within type, proving thatshe often notices the potential tension between differentlines of reasoning and that she has the skills to address thetension.
Janâs tendency to check and reconcile isnât confined tothe interviews. For instance, later in the electric fieldtutorial (after the portions presented previously), the groupconsidered a scenario in which a positive test charge ispushed directly toward a positive source charge. Does thatâpush forceâ do positive, negative, or zero work? Veronicareasoned that because âthe potential energy becomes greater,the change in work is going to be negative,â because theâThe work ⊠in, like, an electric field, itâs the opposite, theopposite of the change in potential energy.â Janimmediately wants to check this conclusion using ananalogy the professor pointed out between electrostaticforces and gravity. She correctly notes that moving thepoint charge is analogous to changing the height of a mass,showing that the potential energy changes. In this instancein which she has two formal lines of reasoning (forexample, reasoning about electric field and potential versusa professor-supplied analogy to gravitation), Jan wants toreconcile (although the group goes in a different directionbefore Jan can make progress).
iv. Janâs actions cannot be fully explained by anexpectation that only formal reasoning will be rewardedin the class.
As previous studies show,19,20 a studentâs expectationsabout what will be rewarded in a physics class need notalign with her epistemological views about what constituteslearning and understanding. In tutorial, perhaps Jan focuseson formal reasoning to the exclusion of everyday/intuitivereasoning because she thinks formal reasoning is what thecourse requires. This counterargument also would explainwhy Jan is much more willing to use everyday/intuitive
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reasoning in the interviews, which were not part of thephysics course. However, formal expectations cannotexplain why Jan rejects everyday/intuitive reasoning thatcould help her use E = F/q correctly. Even if exams rewardformal reasoning only, they donât reward incorrect formalreasoning. And after being corrected, Jan acknowledges thatshe is using E = F/q incorrectly. Her classmates suggestsome common-sense reasoning that could help Jan apply E= F/q correctly, but Jan acts as if that reasoning isirrelevant.
Similarly, in the light and shadow tutorial, âformalâexpectations could explain why Jan rejects her groupâseveryday/intuitive model of light. But once again,expectations alone canât explain why Jan doesnât engage inlearning just enough of Veronica-style everyday/intuitivereasoning to apply formal resources correctly. Formalexpectations alone, unsupplemented by our epistemologicalinterpretation, cannot explain Janâs behavior in tutorial.
v. Janâs confidence in her informal reasoning doeshave an impact, but it can only account for herbehavior in concert with her epistemology.
Another counterargument is that Jan has low confidencein her ability to use everyday/intuitive reasoning in physics,and she therefore hides behind formal reasoning duringgroup work. This lack of confidence could explain not onlyher nervous, perhaps self-deprecating laughter when sheexplains her quest for a more âphysics-orientedâexplanation, but also her willingness to use common-sensereasoning in the interviews, where she perhaps feels saferaway from her peers and away from grade pressure.
We can quickly rule out one version of thiscounterargument, the idea that Jan hides behind formalreasoning during group work not because she lacks faith inher ability to use everyday/intuitive reasoning, but becausesheâs afraid of âstepping out on a limbâ by expressing herideas publicly. According to this argument, Jan feels safersticking to more objective, formal reasoning. This versionof the counterargument fails, however, because it cannotexplain why Jan rejects other studentsâ everyday/intuitivereasoning in the light and shadow tutorial, or why she hassuch trouble using other studentsâ qualitative ideas to helpher interpret E = F/q correctly.
Another version of the confidence counterargument hasmore traction: Jan avoids engaging in everyday/intuitivereasoning during group work largely because she lacks faithin her ability to learn and understand physics in thoseterms. This could help to explain her resistance to usingeveryday/intuitive reasoning when interpreting E = F/q aswell as her quest for a more âphysics orientedâ model oflight. It would also explain why Jan seems so much bolderand more confident with her group when pursuing formalexplanations such as an analogy between gravitational andelectric potential. The interviews further buttress thiscounterargument. Perhaps because the interviewer repeatedlyemphasized that he studies âstudent reasoningâ and doesnâtcare whether her answers are correct, Jan willingly useseveryday/informal reasoning. Even then she often hedges herreasoning with qualifiers such as âmaybeâ and âit could be,âand on several occasions she says her everyday way ofthinking doesnât work reliably in physics. (Weâll give anexample in the following.)
It turns out that Janâs lack of confidence witheveryday/intuitive reasoning in physics does indeed have alarge impact on her behavior, as we have discussed. But itis Janâs epistemological stance that a barrier separates formalfrom everyday/intuitive reasoning that determines how shedeals with her lack of confidence. She feels that herperceptions are imperfect and not to be relied upon.
âIt always seems like, you know, thereâs like a trick thatIâve missed, you know, something that Iâve overlookedor something that I havenât thought about.â (5:138)She gives static friction as an example, explaining that
although you have ample experience with pulling things,you might fail to observe the need to pull harder at first(5:178). There are several ways a student might deal withthe unreliability of perception-based everyday/intuitivereasoning. One response would be to use the formal andeveryday/intuitive in conjunction, incorporating the two tomake a more robust understanding, thereby avoiding thepitfalls of relying solely on imperfect intuitions andperceptions. But Jan does not take this stance. Instead, shegenerally keeps (unreliable) everyday/intuitive reasoningseparate from (reliable) formal reasoning. Our point is thatJanâs response to the unreliability of everyday/intuitivereasoning is driven in part by epistemology. Instead ofseeing problematic everyday/intuitive reasoning as refinableand hence reconcilable with formal reasoning, she sees thetwo kinds of reasoning as too separate to inform each other.
At one point, Jan laments that physics is unlikechemistry, because chemistry is
âkind of totally new, you know, like you kind of havea fresh brain,⊠I mean, youâre talking aboutmolecules and things you canât really see, you knowso you have to kind of start fresh and I think so, so i tmakes it a little easier to think.â (5:186).
Jan would rather start with a blank slate (âfresh brainâ) thantry to refine and build on her own ideas. Janâs epistemologyand confidence are entangled and mutually reinforce oneanother. Epistemology tells her the two domains areseparable. Her confidence says to reject one, and then sheonly experiences success in the one domain, which leads toreduced confidence in the other domain, and so on.Although it is clear that confidence is playing a role, as analternative explanation it cannot stand alone, because itrelies on epistemology to have the effects we observe.
IVD. Summary: The epistemological mechanism isplausible
We believe that we have made a strong case that Janâslearning difficulties in the two tutorial episodes stem in partfrom her epistemology, in particular from the barrier Janplaces between formal and informal reasoning. This barrierprevents her from searching for connections between thesetwo types of knowledge. By examining supplementary dataand evaluating alternative explanations,28 we haveestablished a highly plausible argument for this part of ourhypothesis, that Janâs epistemology has a direct, causaleffect on her learning.
In testing our hypothesis, we have also discoveredmore detail and subtlety to Janâs epistemology and itsimpact on her learning. We found that Janâs epistemologydoes not prevent her from using everyday/intuitivereasoning in some contexts (for example, interviews) andthat there is a deep entanglement between Janâs
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epistemology and her distrust of her intuition andperceptions. Another intriguing issue is the existence inJanâs reasoning of a hybrid form in which formal andeveryday/intuitive reasoning are integrated, generally whenexplicitly taught and sanctioned by the professor. Clearlythis integration is not impossible for Jan. Yet herepistemology leads her only rarely to strive for thisintegration on her own, and even to resist it in manysituations.
One hallmark of an epistemological effect is when wesee students failing to use skills or knowledge they clearlypossess. Janâs skills, her abilities, her store of ideas -- noneof these are the âlimiting reagentâ for her learning in theseepisodes. She is capable and fluid with mathematical,technical, and everyday, common-sense reasoning. She iscapable of checking her understanding and reconcilinginconsistencies. She is capable of working through difficultproblems for which she has very little relevant formalknowledge. Despite all these strengths, her epistemologysometimes gets in the way of her learning.
IVE. Implications
Our case study has built on previous research intoepistemology and learning to show, in causal detail, howepistemology can have a profound effect on the learning-relevant behavior of students. This is important for severalreasons. First, this type of analysis provides supportingevidence that the effects of epistemology on learningoutcomes observed in correlational studies are in fact causal.Learning also most likely plays a causal role in thedevelopment of a personal epistemology; but making astrong case for local causality in one direction is animportant first step in understanding the complex interplaybetween the two.
For the curriculum developer and the classroomteacher, understanding how epistemology affects learning âor just keeping in mind that epistemology affects learningâ has broad implications. In designing curriculum,developers must attend to epistemological as well asconceptual, social, or affective factors. For instance,epistemology can help us understand why a piece ofcurriculum optimized to address conceptual difficulties isineffective for some students. Curriculum developers cantake up the challenge of helping students associate theirproductive epistemological resources with the activity, thecourse, and the discipline.
There are also some implications that link specificallyto the epistemological resource of a barrier between formaland everyday reasoning. Numerous physics teachers andresearchers have noticed that students rarely hook up theirconceptual/intuitive knowledge to their formal knowledgeand problem-solving techniques. An epistemological barrierhelps explain why this disconnect exists for many students,and what can be done about it.
For instance, Kanim found that even when studentsgain a deeper, more intuitive conceptual understanding of atopic (such as batteries and bulbs), they donât apply thatknowledge to traditional quantitative problems (forexample, about circuits).29 To address this gap, Kanimstarted creating topic-by-topic bridging worksheets designedto help students connect their conceptual knowledge to theirformal reasoning. Although many of these worksheets work
well, Kanim noted the extreme, iterative effort needed todevelop them; the bridging worksheets seem to keepexposing new student difficulties. For instance, even whenstudents could answer an intuitive qualitative questionabout resultant vectors, they had trouble applying thatknowledge to formal vector addition.
In our view, an epistemological barrier betweeneveryday/intuitive and formal knowledge can help usunderstand why students have such trouble bridging thosetwo types of knowledge, even when strongly supported.30 Ifwe are right, then Kanimâs bridging worksheets mightbecome even more effective by explicitly addressing thisepistemological issue. The worksheets could includeactivities and reflection questions designed to help studentsrealize that their thought processes sometimes incorporatesuch a barrier and that some of their âah hahâ moments ofunderstanding occur when they scale or tear down thebarrier. When studentsâ epistemologies become morealigned with the goals of the bridging worksheets, studentsmight become better at spotting and addressing newdifficulties they encounter. For instance, consider a studentwho has learned to expect that her intuitive mathematicalknowledge â for instance, her common-sense ideas about ahiker who walks two miles north and then three miles eastâ should mesh with formal mathematical tools. Especiallywhen supported, that student would probably use her hikerknowledge when figuring out or making sense of formalvector addition rules. Consequently, she could resolve hervector difficulties more quickly than would otherwise be thecase.
We lack space to discuss the details ofepistemologically-focused curricula and teaching practicesour research group has used.31 Key components includelistening for studentsâ epistemological strengths anddifficulties during office hours and recitation section; usingtutorials and interactive lecture demonstrations designed totap into productive epistemological resources (for sense-making and consistency) and highlight learning strategies;and using some reflective tutorial questions, homeworkquestions, and class discussions to focus studentsâ attentionon their approach to learning.
V. CONCLUSION
Our biggest challenge as instructors is listening to ourstudents, responding to their difficulties, and facilitatingtheir use of productive cognitive resources they possess. Indiagnosing student learning, we must consider theirstrengths and difficulties of an epistemological nature.Specifically, we must learn to identify the epistemologicalresources that students possess and to understand whichresources they are using during the learning process, so thatwe can help them to choose the more productive approachesto learning. Our strong argument about the plausibility of acausal mechanism by which epistemology can affectlearning gives more reason than ever to believe thatepistemological interventions could lead to better conceptuallearning.
ACKNOWLEDGEMENTS
We would like to thank Joe Redish, David Hammer, andthe members of the Physics Education Research Group atthe University of Maryland for playing a large part in this
11 Submitted to the American Journal of Physics
investigation, with special thanks to David May andRebecca Lippmann. This work was done in part with thesupport of NSF grant REC-0087519. We would also liketo thank advisory board members John Fredriksen and PaulFeltovich for useful suggestions early in the analysis.Thanks are also due to several anonymous reviewers andmany members of the American Association of PhysicsTeachers whose questions helped us refine our focus.
*Current address: Science Education Group, Department of Physics,Astronomy, and Geosciences, Towson University, Towson, MD 21252
1L. C. McDermott and E. F. Redish, âResource letter PER-1: Physicseducation research,â Am. J. Phys. 67, 755-767 (1999).
2D. Hammer, âEpistemological beliefs in introductory physics,â Cog.Instruct. 12 (2), 151-183 (1994).
3E. F. Redish, J. M. Saul, and R. N. Steinberg, âStudent expectations inintroductory physics,â Am. J. Phys. 66, 212-224 (1998).
4W.-M. Roth and A. Roychoudhury, âPhysics studentsâ epistemologies andviews about knowing and learning,â J. Res. Sci. Teach. 31 (1), 5-30(1994).
5For clarity, we draw this distinction between metacognition andepistemology. Metacognition refers to awareness and manipulations ofoneâs knowledge, such as monitoring oneâs understanding while readinga textbook and checking an answer for plausibility. Epistemology, incontrast, refers to ideas about the nature of knowledge and learning âviewing textbook physics knowledge as something that can beunderstood or âcheckingâ as a way to reconcile qualitative andquantitative knowledge. A studentâs epistemology can help to drivewhich metacognitive strategies she does and does not use.
6For a review, see B. K. Hofer and P. R. Pintrich, âThe development ofepistemological theories: Beliefs about knowledge and knowing andtheir relation to learning,â Rev. Ed. Res. 67 (1), 88-140 (1997).
7M. Schommer, âEpistemological development and academicperformance among secondary students,â J. Ed. Psych. 85 (3), 406-11(1993).
8M. Schommer, A. Crouse, and N. Rhodes, âEpistemological beliefs andmathematical text comprehension: Believing it is simple does not make itso,â J. Ed. Psych. 84 (4), 435-443 (1992).
9N. B. Songer and M. C. Linn, âHow do studentsâ views of scienceinfluence knowledge integration?,â J. Res. Sci. Teach. 28 (9), 761-84(1991).
1 0G. Qian and D. E. Alvermann, âThe role of epistemological beliefs andlearned helplessness in secondary school studentsâ learning sciencefrom text, â J. Ed. Psych. 82, 282-292 (1995).
1 1D. B. May and E. Etkina, âCollege physics studentsâ epistemologicalself-reflection and its relationship to conceptual learning,â Am. J. Phys.70 (12), 1249-1258 (2002).
1 2K. Hogan, âRelating studentsâ personal frameworks for sciencelearning to their cognition in collaborative contexts,â Sci. Ed. 83, 1-32(1999).
1 3J. Ryder and J. Leach, âUniversity science studentsâ experiences ofinvestigative project work and their images of science,â Int. J. Sci. Ed.21 (9), 945-956 (1999).
1 4R. Millar, F. Lubben, R. Gott, and S. Duggan, âInvestigating in theschool science laboratory: Conceptual and procedural knowledge andtheir influence on performance,â Res. Pap. Ed. 9 (2), 207-248 (1994).
1 5M. Taylor-Robertson, âUse of videotape-stimulated recall interviews tostudy the thoughts and feelings of students in an introductory biologylaboratory course,â unpublished masterâs thesis, Cornell University,Ithaca, NY, 1984.
1 6K. M. Edmondson, âThe influence of studentsâ conceptions of scientificknowledge and their orientations to learning on their choices of learningstrategy in a college introductory level biology course,â unpublisheddoctoral dissertation, 1 7Cornell University, Ithaca, NY, 1989.
1 8C. S. Dweck, Self-Theories: Their Role in Personality, Motivation andDevelopment (Psychology Press, Philadelphia, PA, 1999).
1 9D. Hammer, âTwo approaches to learning physics,â Phys. Teach. 27,664-671 (1989).
2 0A. Elby, âAnother reason physics students learn by rote,â Am. J. Phys.67 (7), S52-S57 (1999).
2 1D. R. Sokoloff and R. K. Thornton, âUsing interactive lecturedemonstrations to create an active learning environment,â Phys. Teach.35, 340-347 (1997).
2 2The tutorials used were a mixture of University of Washington tutorials[L. C. McDermott, P. S. Schaffer, and the Physics Education Group,Tutorials in Introductory Physics (Prentice Hall, Upper Saddle River, NJ,2002)] and tutorials written by the University of Maryland PhysicsEducation Research Group. Tutorials lead students through a structuredseries of questions and activities usually aimed at developing qualitativeconceptual understanding (rather than traditional problem solving) andoften focusing on common student difficulties such as the differencebetween velocity and acceleration.
2 3We will refer to the archival version of the appendix here. Theappendix will contain transcripts and more detailed arguments.
2 4See D. Hammer, âStudent resources for learning introductory physics,âAm. J. Phys. 68 (7), S52-S59 (2000), and D. Hammer and A. Elby, âOnthe form of a personal epistemology,â in Personal Epistemology: ThePsychology of Beliefs about Knowledge and Knowing, edited by B. K.Hofer and P. R. Pintrich (Lawrence Erlbaum, Mahwah, NJ, 2001), pp.169-190.
2 5A paper about the context-sensitivity of Janâs epistemology is currentlyin preparation.
In addition to those 13 âstrongâ reconciles, Jan also displayed twoinstances of checking-only and four instances of compromise. Oneexample of checking-only is when Jan made sure one line of reasoningagreed with the answer yielded by another line of reasoning, withoutreconciling or even comparing the two lines of reasoning. Compromisesinvolve comparing two lines of reasoning but glossing over rather thanaddressing the contradictions. We mention these codings because theyinvolve at least some kind of contact between two kinds of reasoning, acontact noticeably absent in Janâs reasoning in the electric field tutorialepisode.
2 6She also displayed two instances of between-type checking-only, acoding category explained in Ref. 25. Even if weâre generous aboutwhat is counted as reconciliation and therefore include compromisesand checking-only instances in our final tallies, Janâs within-typereconciliation rate of 68% (19 of 28) is still much higher than herbetween-type reconciliation rate of 33% (3 of 9), supporting ourhypothesis of a barrier in Janâs epistemology between formal andeveryday/intuitive reasoning.
2 7This paper and i t âs appendices are avai lable athttp://www.arxiv.org/abs/physics/0411007.
2 8Readers may wonder if some of the behavior we see on the videotape isdue to the studentsâ nervousness at being taped. Although the studentsagreed to tapings and the cameras are in plain view, we have evidencethat they seem to forget about them. For example, a few minutes afterJanâs âphysics-orientedâ comment, the group starts to discuss thingsmore personal than we believe they would discuss in front of aninstructor or researcher. (We did not watch or transcribe this portion ofthe video.)
2 9S. Kanim, âConnecting concepts to problem-solving,â Proceedings ofthe 2001 Physics Education Research Conference: Research at theInterface (Rochester, NY, July 25-16, 2001), pp. 37-40.
3 0We donât dispute Kanimâs claim that new conceptual difficulties keepappearing. But we think thatâs only part of the problem. In many cases,the epistemological barrier between formal and everyday/intuitiveknowledge may make it especially difficult for students to spot andresolve what would otherwise be fairly âeasyâ conceptual problems.
3 2D. Hammer and A. Elby, âTapping epistemological resources forlearning physics.â J. Learn. Sci. 12 (1), 53-90 (2003); A. Elby, âHelpingphysics students learn how to learn,â Am. J. Phys. 69 (7), S54-S64(2001); E. F. Redish, âDeveloping student expectations in algebra-basedphysics,â presentation at the Conference on Integrating Science andMath Education Research, Orono, ME, June, 2002,<http://www.physics.umd.edu/perg/talks/redish/Maine02/EFRMaineExpects.pdf>
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