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IAEA 2008 Slide 1 September 8, 2008 Expertise Research for Educational Assessment Robert J. Mislevy, PhD Professor of Measurement & Statistics University of Maryland Keynote address at the 34th International Association for Educational Assessment (IAEA) Conference, Cambridge University, September 8, 2008.

Some Implications of Expertise Research for Educational Assessment

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Some Implications of Expertise Research for Educational Assessment. Robert J. Mislevy, PhD Professor of Measurement & Statistics University of Maryland Keynote address at the 34th International Association for Educational Assessment (IAEA) Conference, Cambridge University, September 8, 2008. - PowerPoint PPT Presentation

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Page 1: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 1September 8, 2008

Some Implications of Expertise Research for Educational Assessment

Robert J. Mislevy, PhDProfessor of Measurement & Statistics

University of Maryland

Keynote address at the 34th International Association for Educational Assessment (IAEA) Conference, Cambridge University, September 8, 2008.

Page 2: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 2September 8, 2008

Introduction These are exciting times in

assessment. Developments in psychology and

technology. Insights from expertise research with

implications for assessment design. Let’s start with a quiz.

Page 3: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 3September 8, 2008

What is this a picture of? (http://www.optillusions.com)

Page 4: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 4September 8, 2008

Which cards need to be turned over?

E 4 T 7

Each card has a letter on one side and a number on the other. Consider the rule “If there is a vowel on one side, there is an even number on the other.” Which cards do you need to turn over to make sure the rule is not violated? (Wason,1966)

Page 5: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 5September 8, 2008

A Little Story

I will read a little story and ask you some questions about it.

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IAEA 2008 Slide 6September 8, 2008

Was this sentence in the story?

1. Mary gave Ed a stuffed hippo.

2. Harold received ninety gifts.

3. Ralph gave Tina a toy car.

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IAEA 2008 Slide 7September 8, 2008

There were five sentences in the story.

In order, what were the second-to-last words in each of the sentences?

Page 8: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 8September 8, 2008

What is this a picture of? (http://www.optillusions.com)

Page 9: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 9September 8, 2008

Which cards need to be turned over?

E 4 T 7

Each card has a letter on one side and a number on the other. Consider the rule “If there is a vowel on one side, there is an even number on the other.” Which cards do you need to turn over to make sure the rule is not violated? (Wason,1966)

Whose IDs do we need to check?

Each person has an age and a beverage. Consider the rule “If you are under 21, your beverage must be non-alcoholic.” Which people do you need to check to make sure the rule is not violated?

15Year old

Water drinke

r

30Year old

Wine drinke

r

Page 10: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 10September 8, 2008

Was this sentence in the story?

1. Mary gave Ed a stuffed hippo.

2. Harold received ninety gifts.

3. Ralph gave Tina a toy car.

YES

NO

NO

Ralph gave a toy car to Tina.

Page 11: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 11September 8, 2008

There were five sentences in the story.

In order, what were the second-to-last words in each of the sentences?

One, stuffed, to, four, holiday.

Page 12: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 12September 8, 2008

Limitations and DifficultiesProcessing limitations Limited attention Limited working memory

Knowledge limitations Not knowing what information is relevant Don’t know how to integrate information Not knowing what to expect Not knowing what to do and when to do it Lack of production proficiency

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IAEA 2008 Slide 13September 8, 2008

Capabilities Reasoning in terms of patterns Many patterns simultaneously (language) Can make perception, procedures, strategies

automatic with practice Can think about our thinking (metacognition) Benefit from procedures, methods, tools, external

knowledge representations

Expertise as the circumvention of human processing limitations (Salthouse, 1991)

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IAEA 2008 Slide 14September 8, 2008

A Closer Look at Cognition Knowledge as patterns, at many levels… Assembled to understand, to interact with, and to

create particular situations in the world Developed, strengthened, modified by use Associations of all kinds, including applicability,

affordances, procedures, strategies, affect

“The user’s knowledge of the language rules is

interlocked with his knowledge of when, where, and

with whom to use them” (R. Ellis, 1985)

Page 15: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 15September 8, 2008

Walter Kintsch’s CI Theory of Reading Comprehension

More focused research areas within cognitive psychology today differ as to their foci, methods, and levels of explanation. They include perception and attention, language and communication, development of expertise, situated and sociocultural psychology, and neurological bases of cognition.

Text Text base Situation ModelContext

Context1

LTM

•E.g., reading tasks in Occupational English Test (OET; McNamara, 1996) call upon patterns re language, but also genre, medical knowledge, use of information in clinical settings

•E.g., reading tasks in Occupational English Test (OET; McNamara, 1996) call upon patterns re language, but also genre, medical knowledge, use of information in clinical settings

A relevant pattern from LTM may be activated in contexts but not others (e.g., physics models, use of conditionals).If a pattern hasn’t been learned, it won’t be activated (although it may get constructed in the interaction).

A relevant pattern from LTM may be activated in contexts but not others (e.g., physics models, use of conditionals).If a pattern hasn’t been learned, it won’t be activated (although it may get constructed in the interaction).

Page 16: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 16September 8, 2008

Walter Kintsch’s CI Theory of Reading Comprehension

More focused research areas within cognitive psychology today differ as to their foci, methods, and levels of explanation. They include perception and attention, language and communication, development of expertise, situated and sociocultural psychology, and neurological bases of cognition.

Text Text base LTM Situation Model ActionContext

Context1

Context2

Page 17: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 17September 8, 2008

Walter Kintsch’s CI Theory of Reading Comprehension

More focused research areas within cognitive psychology today differ as to their foci, methods, and levels of explanation. They include perception and attention, language and communication, development of expertise, situated and sociocultural psychology, and neurological bases of cognition.

Text Text base LTM Situation Model ActionContext

Context1

Context2

Page 18: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 18September 8, 2008

Walter Kintsch’s CI Theory of Reading Comprehension

More focused research areas within cognitive psychology today differ as to their foci, methods, and levels of explanation. They include perception and attention, language and communication, development of expertise, situated and sociocultural psychology, and neurological bases of cognition.

Text Text base LTM Situation Model ActionContext

Context2

Context3

Page 19: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 19September 8, 2008

Expertise Research

Cognitive task analysis (e.g., Simon & Chase) Compare experts & novices in replicable conditions

What knowledge is needed? How is it represented? How is it used? What makes tasks hard?

Ethnographic research (e.g., Lave) Expertise in situ “Critical incident” studies (NBME)

Replication possible in simulations Flight simulators, football kick in video situations

Page 20: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 20September 8, 2008

Expertise ResearchExperts organize their knowledge effectively

Perceive / understand / act in terms of fundamental principles rather than surface features (Chi, Feltovich, & Glaser)

Importance of interaction with situationCycles of “perceive / understand / act”

External knowledge representations (KRs)Nexus of info-processing & sociocultural POVSupported cognition / distributed cognition

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IAEA 2008 Slide 21September 8, 2008

So…

How do you use this improved understanding of the nature and acquisition of expertise to design and conduct assessments?

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IAEA 2008 Slide 22September 8, 2008

Assessment Arguments

What complex of knowledge, skills, or other attributes should be assessed?

What behaviors or performances should reveal those constructs?

What tasks or situations should elicit those behaviors?

(Messick, 1994)

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IAEA 2008 Slide 23September 8, 2008

Examples

The Architectural Registration Examination (ARE)

Architectural design; CAD-like environment

DISC simulator

Simulations for problem-solving in dental hygiene

NetPASS (Cisco)

Computer network design & troubleshooting

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ARE Example (Irv Katz, ETS) To replace 10-hour hand-drawn design

problem Reflects changing of profession to CAD Premium on thinking, not drawing Planning the firestation site

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IAEA 2008 Slide 25September 8, 2008

An Example of a Task Prompt for the ARE

Page 26: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 26September 8, 2008An Illustrative Base Diagram for an ARE Task

AB

D

Page 27: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 27September 8, 2008 A Sample Solution to an ARE Task

Page 28: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 28September 8, 2008

NCARB Example (Irv Katz, ETS)

Differences between novices and experts• Success rate: 98% vs. 88%

• Planning time & execution time

• Patterns of revision involving rework

Implications for task design: Constraints• Number

• Variation in importance/difficulty

• Degree of conflict

• Implicit constraints? (c.f. writing expertise)

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IAEA 2008 Slide 29September 8, 2008

Design Patterns

“Design under constraints” is common to many domains: e.g., engineering, assessment design, wedding planning, apparel design

Could define a Design Pattern with these as foci What are characteristics of performances (i.e.,

observables) that evidence these knowledge / capabilities / attunements?

What are characteristics of situations that elicit these observables?

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IAEA 2008 Slide 30September 8, 2008

Other design pattern possibilities

Troubleshooting finite systems Medical diagnosis Inquiry cycle Model-based reasoning

Page 31: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 31September 8, 2008

DISC Example

The Dental Interactive Simulations Corporation (DISC)

The DISC Simulator & Scoring Engine Cognitive Task Analysis to support

design rationale

Page 32: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 32September 8, 2008

Goals of the DISC CTA

What are the kinds of knowledge and skills that hygienists call upon to solve problems and make decisions in dental hygiene?

What do they say and do that gives you evidence about their use of this knowledge?

What kinds of situations call upon this knowledge?

How do you make re-usable schemas to evoke evidence and construct ‘stories’ around these recurring patterns?

Page 33: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 33September 8, 2008

Using Disparate Sources of Information

Expert Tries to use all sources of information all the time. Constructs a model of the patient, with each source of information an imperfect and incomplete window on some aspect of the total situation. Exhibits movement back and forth between sources (resources and personal knowledge/experience), trying to fit the partial clues together into a unified whole.

Novice Uses single information sources in isolation. Compartmentalized use of information and failure to integrate information across sources.

Page 34: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 34September 8, 2008

Formulating Problems & Hypotheses Expert Forms problems and generates hypotheses

using efficient, focused, and targeted action. Uses forward and deductive reasoning in formulating problems. Thinks strategically and functions within the problem space. Efficiently generates and prunes search trees.

Novice Uses forward reasoning but scope and depth of knowledge to support forward reasoning is limited. Generates a search tree but possesses limited tools for pruning the search tree.

Page 35: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 35September 8, 2008

Vocabulary and Language Usage Expert Retrieves and uses appropriate, clear,

sophisticated, accurate, and precise terminology. Uses spontaneous declaration and can retrieve without effort. Creates messages that are easily understood by the target audience.

Novice Strained, unreliable, and effortful retrieval of terminology. Hesitant, delayed, and labored responses due to time required to process and lack of knowledge. Uses terminology unsystematically. Prone to canned speeches and explanations without awareness of individual patients’ needs.

Page 36: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 36September 8, 2008

An example with the Cisco Learning Institute: The NetPass Prototype

Create on-line performance assessment of networking skills

Focus on learner feedback rather than high-stakes testing

Expert/Novice studies ground design

Page 37: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 37September 8, 2008

The task starts with a scenario and description of goals

Page 38: Some Implications of Expertise Research for Educational Assessment

IAEA 2008 Slide 38September 8, 2008

To capture their mental model of the network, we ask them to draw the network with a diagramming tool

Page 39: Some Implications of Expertise Research for Educational Assessment

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The diagram is created by dragging and dropping icons

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Configuring the devices

Page 41: Some Implications of Expertise Research for Educational Assessment

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When students are done, they press Submit”…

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And the graphical representation is converted into a text representation in XML format

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IAEA 2008 Slide 43September 8, 2008

The text file is scored following detailed rules, which result in characterizations of the work

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And feedback is created for the student…both diagnostic and a summary profile.

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IAEA 2008 Slide 45September 8, 2008

Conclusion Insights from expertise research can improve

the practice of assessment, and support deeper learning.

Doing so requires a deeper understanding of assessment design.» More explicit arguments and representations

» Generativity, re-usability, and inter-operability

“Too many notes” ? (Emperor Joseph II) Suitable conceptual frameworks, tools, and

exemplars are now beginning to appear.