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Download full textZhou, Guojing; Wang, Jianxun; Lynch, Collin F.; Chi, Min – International Educational Data Mining Society, 2017
In this study, we applied decision trees (DT) to extract a compact set of pedagogical decision-making rules from an original "full" set of 3,702 Reinforcement Learning (RL)- induced rules, referred to as the DT-RL rules and Full-RL rules respectively. We then evaluated the effectiveness of the two rule sets against a baseline Random…
Descriptors: Learning Theories, Teaching Methods, Decision Making, Intelligent Tutoring Systems
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Marzano, Robert J.; Norford, Jennifer S.; Paynter, Diane E.; Pickering, Debra J.; Gaddy, Barbara B. – 2001
This handbook is intended to be a self-study guide to the effective use of nine specific instructional strategies proven to improve student achievement. The strategies are: (1) identifying similarities and differences (comparing, classifying, creating metaphors, and creating analogies); (2) summarizing and note taking; (3) reinforcing effort and…
Descriptors: Academic Achievement, Advance Organizers, Cooperative Learning, Cues
