Authors:
Chi-Yuh Shen
1
;
Gwo-Dong Chen
1
and
Kuo-Liang Ou
2
Affiliations:
1
National Central University, Taiwan
;
2
National Hisn-Chu University of Education, Taiwan
Keyword(s):
Activity theory, intrinsic motivation, educational online game, machine learning, web based mathematic learning.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
e-Learning
;
Information Technologies Supporting Learning
;
Instructional Design
;
Learning/Teaching Methodologies and Assessment
;
Software Tools for e-Learning
;
Virtual Learning Environments
;
Web-Based Education
;
Web-Based Teaching and Learning Technologies
Abstract:
In this paper, we use activity theory to analyze the process and out come of mathematic learning by using
MEOG (Multi-User Educational Online Game) based on the previous research (Gwo-Dong Chen, Gee-Yu
Shen, 1997) described a multi-user educational online games which can motivate and guide students to learn
and practice courses on the web. In order to reduce the obstacle of MSEOG applying in instructional
activity in classroom, first, we adopt the factors of motivation as outcome and decided the tools and rule by
found the cue in the questionnaires and server log. Second, we consider events of instruction and learning
phrases (Gagne) and using Machine Learning Technique to get the potential rule (activity theory). From
these, we want to develop a methodology to get stability of guiding online game applying in instruction of
classroom.