Automated Questionnaires About Students’ JavaScript Programs: Towards Gauging Novice Programming Processes
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A4 Artikkeli konferenssijulkaisussa
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Date
2023-01-30
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Language
en
Pages
10
49-58
49-58
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Proceedings of the 25th Australasian Computing Education Conference
Abstract
Students sometimes manage to produce functionally correct program code while having a fragile understanding of the related learning goals. Such unproductive success could be intercepted by an educator who asks questions that target the structure and evaluation of the student’s program using the constructs and identifiers in the code. We provide a tool that automatically generates multiple-choice questions of seven different types for this purpose. We integrated these questions into a web-based program writing exercises, which we also publish as a part of this work, and successfully used them on an introductory programming course. In our pilot evaluation of the tool, we found that the students who answer these questions repeatedly incorrectly are likely to drop out, have more challenges while writing a program, and resort to tinkering behavior.Description
Keywords
program comprehension, QLC, unproductive success, introductory programming, online education
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Citation
Lehtinen, T, Haaranen, L & Leinonen, J 2023, Automated Questionnaires About Students’ JavaScript Programs: Towards Gauging Novice Programming Processes . in P Denny & N Herbert (eds), Proceedings of the 25th Australasian Computing Education Conference . ACM, pp. 49-58, Australasian Computing Education Conference, Melbourne, Australia, 30/01/2023 . https://doi.org/10.1145/3576123.3576129