A Visualization System for Predicting Learning Activities Using State Transition Graphs / Fumiya Okubo, Atsushi Shimada and Yuta Taniguchi.

In this paper, we present a system for visualizing learning logs of a course in progress together with predictions of learning activities of the following week and the final grades of students by state transition graphs. Data are collected from 236 students attending the course in progress and from...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Authors:	Okubo, Fumiya, Shimada, Atsushi (Author), Taniguchi, Yuta (Author)
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2017.
Subjects:	Learning Activities. Graphs. Prediction. Grades (Scholastic) Markov Processes. Accuracy. Validity. Foreign Countries. Computer Uses in Education. College Students. Questionnaires. Integrated Learning Systems.