Transactions of Japanese Society for Information and Systems in Education
Online ISSN : 2188-0980
Print ISSN : 1341-4135
ISSN-L : 1341-4135
Volume 34, Issue 4
Displaying 1-4 of 4 articles from this issue
Preface
Original Paper
  • Katsuhiro Yano, Takashi Yamada, Atsushi Yoshikawa, Takao Terano
    2017 Volume 34 Issue 4 Pages 302-313
    Published: October 01, 2017
    Released on J-STAGE: November 01, 2017
    JOURNAL FREE ACCESS

    This paper makes comparisons between two educational policies, teacher allocation and teacher retraining, to see which works better to improve academic skills of students. For this purpose, an agent-based simulation model with student agents and the teacher agents is proposed. The student agents are based on academic achievement model and learning theory whereas the teacher agents have three parameters in terms of teaching skills. The main results are as follows: First, increase in experienced teachers is helpful for the students with low academic achievement. Second, teacher retraining policy improves academic achievement of the high-leveled students.

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