Thinking Aloud Protocol Based Self-Report Questionnaire to Measure Metacognitive Skills in Mathematical Problem Solving (74932)

Session Information: Interdisciplinarity & Learning Productivity Development
Session Chair: Mikako Nobuhara

Saturday, 25 November 2023 13:50
Session: Session 3
Room: Room C (Live Stream)
Presentation Type: Live-Stream Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

Metacognitive skills play a major role in Mathematical problem solving. Metacognitive skills are required for monitoring and regulating the cognitive process of Mathematical problem solving. Different countries have declared that improving metacognitive skills is an essential component in Mathematics Education. Hence, having an instrument to effectively and efficiently measure metacognitive skills is important for both researchers and teachers. Think-aloud protocol is an endorsed method for assessing metacognitive skills in Mathematics. There, students verbalize their thoughts while working on the problem. However, this method has limited usability in large classroom settings due to the time consumed. Self-report questionnaires, on the other hand is an efficient metacognitive skill measurement instrument since it has ease of administration, suitable for larger classes and no need of special training on conducting. Though task general self-report questionnaires show low correlation with think-aloud which is an effective metacognition measurement tool, task specific questionnaires which were designed in line with think aloud show a significant correlation. To this date, there is no self-report questionnaire designed based on think-aloud for measuring metacognition in Mathematical problem solving. This study focuses on developing a task specific Likert type questionnaire for measuring metacognitive skills in Mathematical problem solving based on think aloud. The scale shows a high content validity (S-CVI/Ave=0.9), confirms the construct validity including both convergent and discriminant and higher internal consistency (ordinal alpha=0.89) assuring it as a successful measure for measuring metacognitive skills in Mathematical problem solving.

Uthpala Athukorala, Institute of Technology University of Moratuwa, Sri Lanka
Chanakya Wijeratne, University of Colombo, Sri Lanka
Dileepa Fernando, Sri Lanka Technological Campus, Sri Lanka

About the Presenter(s)
Mrs.Uthpala Athukorala, a Lecturer interested in developing IT solutions for improving teaching and learning process. Her current project is Feedback Mechanisms for Improving Self-Regulated Learning Strategies in Digital Learning Environments.

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00