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STUDENT RESPONSE SYSTEMS FOR QUANTITATIVE LITERACY: (A) YES (B) NO (C) MAYBE Lisa M. Reilly Assistant Professor of Chemistry Adam C. Fletcher Assistant Professor of Mathematics Bethany College Bethany, WV

Student Response Systems for Quantitative Literacy: (A) Yes (B) No (C) Maybe

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Student Response Systems for Quantitative Literacy: (A) Yes (B) No (C) Maybe. Lisa M. Reilly Assistant Professor of Chemistry Adam C. Fletcher Assistant Professor of Mathematics Bethany College Bethany, WV . Outline. The Wired Generation History of Student Response Systems - PowerPoint PPT Presentation

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Page 1: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

STUDENT RESPONSE SYSTEMS FOR

QUANTITATIVE LITERACY: (A) YES (B) NO (C) MAYBE

Lisa M. ReillyAssistant Professor of Chemistry

Adam C. Fletcher Assistant Professor of Mathematics

Bethany CollegeBethany, WV

Page 2: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Outline• The Wired Generation• History of Student Response Systems

• Research on Student Response Systems in STEM areas• Types of Student Response Systems Available

• Example of Polleverywhere.com will be conducted• Our Choice of System and Why• Formative Assessment using Multiple Choice Questions• Formative Assessment using Open-Ended Questions• Comparing Error Analysis of Both Assessment Tools• Current Data on Student Response Systems Improving

Quantitative Literacy in a Liberal Arts Physical Science Course• Discussion• Acknowledgements

Page 3: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

The Wired Generation• Data reported on the technology students in CHEM 100

(Consumer Chemistry) possess

Laptop

SmartPhone

Cellular

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

Percentage of Stu-dents Willing to Bring Item to Class and Use Item

Percentage of Students Owning Item

Page 4: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

History of Student Response Systems

• General Lecture• Traditional v. Interactive Engagement• Biology and Related Areas• Chemistry• Mathematics• Role of Peer Discussion

Page 5: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

General Lecture

Bill Watterson. Calvin and Hobbes

Page 6: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Traditional v. Interactive Engagement• Study of over 6 000 students

in introductory physics courses using a variety of pedagogical methods

• Survey of pre/post test data• Students in the interactive

engagement courses improved problem solving skills beyond the traditional lecture

R. Hake, ” Interactive-engagement vs traditional methods: A six-thousand student survey of mechanics test data for introductory physics courses” AJP 66, 64-74 (1998).

Page 7: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Biology and Related Areas• References report either a slight to

minimal effect on exam grades

• Significant gains in student attitudes, attendance, and overall satisfaction with the course

• Preszler, R. W.; Dawe, A.; Shuster, Charles B. and Shuster, M. Assessment of the Effects of Student Response Systems on Student Learning and Attitudes over a Broad Range of Biology Courses. CBE—Life Sciences Education. 2007, 6, 29-41.

• Caldwell, J.E. Clickers in the Large Classroom: Current Research and Best-Practice Tips. CBE-Life Science Education. 2007, 6, 9-20.

• Gauci SA; Dantas AM; Williams DA; Kemm RE. Promoting student-centered active learning in lectures with a personal response system. Adv Physiol Educ. 2009, 33(1):60-71.

From Cadwell, results of student evaluation of a non-majors biology course that used SRS

Page 8: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Chemistry• Study reveled that showing the results as the student take the

assessment is not best

• In comparing the SRS with WebCT questions the differences may have existed due to the WebCT questions being available for review online

• Practice, reflection, and review are necessary for effective student learning

• Reference: • Bunce, D.M.; Vanden Plas, J.R.; Havanki, K.L. Comparing the Effectiveness on Student Achievement of a

Student Response System versus Online WebCT Quizzes. J. Chem. Educ., 2006, 83 (3), 488.• Additional:• MacArthur, J.R.; Jones, L.L. A Review of Literature reports of clickers applicable to College Chemistry

Classrooms. Chem. Educ. Res. Pract. 2008, 9, 187-195. • Asirvatham, M.R. Clickers in Action: Increasing Student Participation in General Chemistry. W.W. Norton,

New York. 2010.

Page 9: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Mathematics and Computer Science• Students can use cell phones as SRS to

• take vocabulary quizzes, • study geometry via geotagging

• As with Biology students, Computer Science saw • no significant increase in grades, but• increase in both engagement and attitude

• At Bethany, we have seen these trends mirrored in• online precalculus, • hybrid mathematical writing, and • online network architecture courses

Kolb, Liz. Adventures with Cell Phones, ASCD, February 2011, 39-43.Martyn, Margie. Clickers in the Classroom. Educause Quarterly, 2007 (2). 71-74.Fletcher, Adam. How Effective are Online Courses, WVCTM Conference Presentation, March 2010.

Page 10: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Peer Discussion

Smith, M. K.; Wood, W.B.; Krauter, K.; Knight, J.K. Combining Peer Discussion with Instructor Explanation Increases Student Learning from In-Class Concept Questions. CBE Life Sci Educ. 2011 March 1; 10(1): 55–63.

Page 11: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Summary of Benefits• Instantaneous feedback to both you and your students

about learning in the classroom • Engages the students enough to keep them alive during

lecture• Privacy of voting allows student to be honest about what

they do and do not know.• Increase class attendance• Some evidence of problem-solving skills increasing

Page 12: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Types of Student Response Systems Available

• Some of the more prominent SRS options:• Dyknow(http://www.dyknow.com/)• eInstruction (http://www.einstruction.com/)• iClicker (http://www.iclicker.com)• LectureTools (https://www.lecturetools.com/)• Netsupport(http://www.netsupportschool.com)• Polleverywhere.com (http://www.polleverywhere.com/)• Qwizdom (http://www.qwizdom.com)• Smart Technologies (http://smarttech.com)• TurningPoint (http://www.turningtechnologies.com)• Ubiquitous Presenter( http://up.ucsd.edu/ )

• Like other e-learning applications, this list is fluid and subject to change

Page 13: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Use of Polleverywhere.com• Example of its uses will be included in the presentation.

Page 14: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Our Choice and Why• Smart Technologies (http://smarttech.com)• SMART Response XE interactive response system

• Support advanced math and science content by allowing for symbolic manipulations as input to the system

• Allows for a range of acceptable answers for questions by permitting a range of representations for the correct answer

• Integrated with SmartBoard Systems and its software purchased with a previous grant

Pictures from: http://smarttech.com/us/Solutions/Education+Solutions/Products+for+education/Complementary+hardware+products/SMART+Response/SMART+Response+XE

Page 15: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Formative Assessment Using Multiple Choice Questions• This will be conducted in the Smart Notebook Software

Program.

Page 16: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Formative Assessment Using Open-Ended Questions• This will be conducted in the Smart Notebook Software

Program.

Page 17: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Comparing Error Analysis of Both Assessment Tools• Reference: Ashlock, Robert. Error Patterns in Computation. 9th edition, Pearson.

• For multiple-choice• Attractive distractors must be presented• Time-consuming to create• Time-saving to analyze

• For open-ended• Real-time errors can be made (and recorded!)• Is wrong answer a sign of misunderstanding, or tech malfunction?• Instructor must analyze errors “on the fly”

• 6(1+4x)+2 = 30x+2• Domain of (9-x^2)^(1/2) and Domain of (9+x^2)^(1/2)• Second semester calculus: f(x)=1/x. Compute f’(x).

Page 18: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Active Learning Exercises in a Liberal Arts Chemistry Course

Enjoyment

Assisted in Learning

Assisted in Preparation

Request Additional

Overall Thoughts

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9

NegativeNeutralPositive

Page 19: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Quantitative Literacy in a Liberal Arts Chemistry Course

median variance0

5

10

15

20

25

30

Fall 2010 preFall 2010 postSeries3Spring 2011 preSpring 2011 postSeries6Fall 2011 pre

Page 20: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Discussion• Questions for Initiating Discussion

• Will I cover less material if I use clickers and peer instruction?• How long should conceptual questions take to answer (how

complex should they be)?• How do I write good questions?• What “credit” should I give?

Page 21: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

How Do We Make Good Clicker Questions?

21

• Questions need to match the student learning objectives for the lecture

• Key is to use effective “distractors”• Listen to students & how they think to find with these

• Textbooks are now including some student response system questions

• Talk to colleagues, especially when working to include interdisciplinary topics

Page 22: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

• Must have “student buy in”• Observe other teachers • Practice with the system before going in the classroom• Plan for the unexpected as best you can: low batteries,

missing student response systems• Start with a few questions and then increase• Vary complexity – Question should encourage discuss • Questions must be related to course objective and

exams• Plan time to discuss questions

Tips for Using ClickersBased on literature above and author Doug Duncan, astronomer, University of Colorado, Clickers in

the Classroom: How to Enhance Science Teaching Using Classroom Response Systems

Page 23: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Pros and Cons – Session Generated

PRO – Clickers ANTI - Clickers

Page 24: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Questions?

Questions Now

Questions Then

Ask Us How

Or an Email Send!

Page 25: Student Response Systems for Quantitative Literacy:  (A) Yes (B) No (C) Maybe

Acknowledgements• ACA/Teagle Quantitative Literacy Grant• Bethany College• Students who participated in multiple sections• Student who were the test group for practice