open-ended problem solving

Log-trace networks compared self-regulation among higher- and lower-performing learners

Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker

2nd International Conference on Quantitative Ethnography (ICQE 2020)

How self-regulated learning actions co-occur within and across phases of open-ended problem solving. The group networks provided an overall view of how action types combined, revealing self-regulatory organization that isolated event frequencies would not show. Performance-group differences in observational trace data do not demonstrate that a particular action connection caused achievement or that every logged click represents the intended cognitive process.

確認済みの論文要約は現在英語で提供しています。