Abstract
Code tracing involves stepping through a program in order to predict its output. In the present study (N = 45), we used the think-aloud protocol to gain insight into students’ cognitive processes as they used a computer tutor to study code-tracing examples and work on code-tracing problems, using either a high-scaffolding or a reduced-scaffolding tutor interface. For the cognitive processes, we included both self-explanation and reading behaviors, relying on a qualitative coding to analyze the transcripts. Our results shed light on how different levels of assistance provided by a computer tutor impact student reasoning during code-tracing activities.
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Notes
- 1.
A between-subjects design was used because the high potential for order effects rendered a within-subject design not suitable.
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Jennings, J., Muldner, K. (2021). Investigating Students’ Reasoning in a Code-Tracing Tutor. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science(), vol 12748. Springer, Cham. https://doi.org/10.1007/978-3-030-78292-4_17
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