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abstract

Adaptive Parsons Problems with Discourse Rules

Published: 09 August 2015 Publication History

Abstract

Parsons problems are code segments that must be placed in the correct order with the correct indention. Research on Parsons problems suggests that they might be a more effective and efficient learning approach than writing equivalent code, especially for time-strapped secondary teachers. I intend to explore this hypothesis with empirical experiments, observations, and log file analysis.

References

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Bennedsen, J. and M. E. Caspersen (2007). "Failure rates in introductory programming." SIGCSE Bull. 39(2): 32--36.
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Clark, R. C. and R. E. Mayer (2011). E-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning, Pfeiffer.
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Denny, P., et al. (2008). Evaluating a New Exam Question: Parsons Problems. International Computing Education Research Conference. Sydney, Australia, ACM.
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Helminen, J., et al. (2012). How Do Students Solve Parsons Programming Problems? - An Analysis of Ineraction Traces. International Computing Education Research Conference. Aukland, New Zealand, ACM: 119--126.
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Karavirta, V., et al. (2012). A mobile learning application for parsons problems with automatic feedback. Proceedings of the 12th Koli Calling International Conference on Computing Education Research. Koli, Finland, ACM: 11--18.
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McCracken, M., et al. (2001). "A multi-national, multi-institutional study of assessment of programming skills of first-year CS students." SIGCSE Bull. 33(4): 125--180.
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Parsons, D. and P. Haden (2006). Parson's programming puzzles: a fun and effective learning tool for first programming courses. Proceedings of the 8th Australasian Conference on Computing Education - Volume 52. Hobart, Australia, Australian Computer Society, Inc.: 157--163.
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Soloway, E. and K. Ehrlich (1984). "Empirical Studies of Programming Knowledge." IEEE Transactions on Software Engineering SE-10(5): 595--609.
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Soloway, E., et al. (1994). "Learner-Centered Design: The Challenge For HCI In The 21st Century.? Interactions 1(2) 36--48

Cited By

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  • (2019)Predicting Cognitive Load in Future Code PuzzlesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300487(1-12)Online publication date: 2-May-2019
  • (2019)EvoParsonsGenetic Programming and Evolvable Machines10.1007/s10710-019-09343-720:2(213-244)Online publication date: 1-Jun-2019

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cover image ACM Conferences
ICER '15: Proceedings of the eleventh annual International Conference on International Computing Education Research
July 2015
300 pages
ISBN:9781450336307
DOI:10.1145/2787622
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 August 2015

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Author Tags

  1. learning programming
  2. parsons problems

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  • National Science Foundation

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ICER '15
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ICER '15 Paper Acceptance Rate 25 of 96 submissions, 26%;
Overall Acceptance Rate 189 of 803 submissions, 24%

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ACM Conference on International Computing Education Research
August 3 - 6, 2025
Charlottesville , VA , USA

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Cited By

View all
  • (2019)Predicting Cognitive Load in Future Code PuzzlesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300487(1-12)Online publication date: 2-May-2019
  • (2019)EvoParsonsGenetic Programming and Evolvable Machines10.1007/s10710-019-09343-720:2(213-244)Online publication date: 1-Jun-2019

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