CSCL Poster
#1112: Computational Modeling of the Process of Scientific Inquiries
Wed Jun 17, 4:15 PM–5:45 PM · Outdoors
Computer-Supported Collaborative Learning Learning Analytics & Educational Data Mining Inquiry-Based Learning & Productive Failure AI in Education
Scientific inquiry is a process to understand the complex real world. To automatically assess and foster learners’ scientific inquiries by a computer-supported collaborative learning (CSCL) system, thinking processes required for scientific inquiries should be modeled in a machine-readable and traceable form. By using a computational modeling approach, the present study extracted patterns of such thinking processes from the data repository of our educational practices and investigated how the processes can be computationally modeled.
Speakers
- Nanae Watanabe — Kyushu University
Authors
Nanae Watanabe, Masahiro Tada, Shin'Ichi Konomi, Keisuke Koba, Masaya Okada