Model Based Analysis to Explore the Patterns of Thinking in an Interactive Learning Environment for Problem-Posing
摘要
This study investigates the causes of impasses in Monsakun, an arithmetic problem-posing learning platform. We analyzed learners’ cognitive processes using epistemic networks generated from learning logs. Results revealed two main factors: (1) lack of awareness about task setting variability and (2) insufficient understanding of arithmetic word problem structure. These findings aim to contribute to future interactive learning environment development and enhance learner engagement.