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Experience report: peer instruction in introductory computing

Published: 10 March 2010 Publication History

Abstract

Peer Instruction (PI) is a pedagogical technique to increase engagement in lectures. Students answer a multiple choice question (MCQ) typically using clickers (hand-held remote devices with a minimum of 5 option buttons), discuss the question with their peers, and then answer the question again. In physics, PI has years of evidence of increased conceptual learning, as measured by the Force Concept Inventory (FCI)[7]. In this experience report, we describe how PI was applied in CS1 and CS1.5 courses teaching Java. We identify specifics of the standard PI model which were adopted, adapted, or discarded for use in introductory computing, describe the process involved for the instructor, give examples of the types of questions asked of students, report on students' performance in answering these questions, reflect on the value for the instructor, and report the attitudes and opinions of the students. We conclude with observations, advice and suggested improvements.

References

[1]
Beatty, I, Gerace, W., Leonard, W., Dufresne, R. Designing effective questions for classroom response system teaching. Am. J. Physics 74 (1), January 2006.
[2]
Caldwell, J. Clickers in the Large Classroom: Current Research and Best-Practice Tips. CBE-Life Sciences Education, 6 (1): 9--20, 2007.
[3]
Carter, P. An experiment with online instruction and active learning in an introductory computing course for engineers: JiTT meets CS. 14th Western Canadian Conference on Computing Education, 2009.
[4]
Crouch C. and Mazur, E. Peer Instruction: Ten years of experience. Am. J. Phys. 69 (9) 2001.
[5]
Cutts, Q., Carbone, A., and van Haaster, K. Using and Electronic Voting System to Promote Active Reflection on Coursework Feedback. In Proceedings of Intl. Conf. on Computers in Education, Melbourne, Australia, 2004.
[6]
Draper, S. W. Catalytic assessment: understanding how MCQs and EVS can foster deep learning. British Journal of Educational Technology 40(2): 285--293, 2009.
[7]
Hestenes, D., Wells, M. and Swackhamer, G. Force Concept Inventory. The Physics Teacher 30: 141--158, 1992.
[8]
Lister, R., Fidge, C., Teague, D. Further evidence of a relationship between explaining, tracing and writing skills in introductory programming, SIGCSE Bulletin 41(3): 161--165 2009.
[9]
Lopez-Herrejon, R. and Schulman, M. Using Interactive Technology in a Short Java Course: An Experience Report. SIGCSE Bulletin 36(3): 203--207, 2004.
[10]
Pargas, R. and Shah, D. Things are clicking in computer science courses. SIGCSE Bulletin 38(3): 474--478. 2006.
[11]
Smith, M., Wood, W., Adams, W., Wieman, C., Knight, J., Guild, N., Su, T. Why Peer Discussion Improves Student Performance on In-Class Concept Questions. Science 323, 122, (2009).
[12]
Wieman, C. and the staff of the CU and UBC Science Education Initiatives. Clicker Resource Guide: An Instructor's Guide to the Effective Use of Personal Responses Systems (Clickers) in Teaching. http://cwsei.ubc.ca.
[13]
Wieman, C. http://cwsei.ubc.ca/resources/clickers.htm

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cover image ACM Conferences
SIGCSE '10: Proceedings of the 41st ACM technical symposium on Computer science education
March 2010
618 pages
ISBN:9781450300063
DOI:10.1145/1734263
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 March 2010

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Author Tags

  1. active learning
  2. classroom response
  3. clickers
  4. cs1
  5. peer instruction
  6. prs

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Cited By

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  • (2023)Developing SAMM: A Model for Measuring Sustained Attention in Asynchronous Online LearningSustainability10.3390/su1512933715:12(9337)Online publication date: 9-Jun-2023
  • (2023)Decades of Striving for Pedagogical and Technological AlignmentProceedings of the 23rd Koli Calling International Conference on Computing Education Research10.1145/3631802.3631809(1-8)Online publication date: 13-Nov-2023
  • (2023)Spiffy Peer Instruction QuestionsProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 210.1145/3545947.3569590(1226-1227)Online publication date: 1-Mar-2023
  • (2023)Exploring middle school students’ common naive conceptions of Artificial Intelligence concepts, and the evolution of these ideasEducation and Information Technologies10.1007/s10639-023-11600-328:8(9827-9854)Online publication date: 18-Jan-2023
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  • (2021)Improving Learning Outcome for GSL (German as a Second Language) Students in a Blended Learning Cumulative Assessment Material Science CourseInternational Journal of e-Education, e-Business, e-Management and e-Learning10.17706/ijeeee.2021.11.3.93-10011:3(93-100)Online publication date: 2021
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