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Title:      EXAMINING THE ROLE OF METACOGNITIVE PROMPTS ON LEARNING BEHAVIOR DURING CIRCUIT ANALYSIS PROBLEM-SOLVING IN CBLE: AN EPISTEMIC NETWORK ANALYSIS APPROACH
Author(s):      Jyoti Shaha, Amit Paikrao and Ramkumar Rajendran
ISBN:      978-989-8704-72-6
Editors:      Demetrios G. Sampson, Dirk Ifenthaler and Pedro IsaĆ­as
Year:      2025
Edition:      Single
Keywords:      Epistemic Network Analysis, Learning Behavior, CBLE, Problem-Solving, Metacognitive Prompts, Circuit Analysis
Type:      Full Paper
First Page:      251
Last Page:      258
Language:      English
Cover:      cover          
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Paper Abstract:      This study examines the impact of metacognitive prompts on electrical engineering students' learning behavior during problem-solving in a computer-based learning environment. This research study uses Epistemic Network Analysis (ENA) to investigate behavioral differences between students who received metacognitive prompts and those who solved problems without prompts. Thirty-two undergraduate electrical engineering students were randomly assigned to an experimental group (n = 16) receiving metacognitive prompts and a control group (n = 16) without prompts. Data collection involved interaction log data during problem-solving. We used ENA to identify differences in prominent and co-occurring actions between experimental and control groups. ENA analysis along the X-axis revealed statistically significant differences between groups. using a Mann-Whitney U test: control group (median = 0.09, N = 16) versus experimental group (median = -0.13, N = 16), U = 247.00, p < .001. The findings indicate that the control group's behaviors were oriented toward information-seeking activities, while the experimental group demonstrated greater integration of problem-solving actions with resource utilization. The results highlight the impact of metacognitive prompts on students' learning behavior during problem-solving in CBLE.
   

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