Sidekick: A Tool for Helping Students Manage Behavior in Self-initiated Learning Scenarios

被引:2
|
作者
Inventado, Paul Salvador [1 ,2 ]
Legaspi, Roberto [3 ]
Moriyama, Koichi [4 ]
机构
[1] Osaka Univ, Inst Sci & Ind Res, Grad Sch Informat Sci & Technol, Osaka, Japan
[2] De La Salle Univ, Coll Comp Studies, Ctr Empath Human Comp Interact, Manila, Philippines
[3] Inst Stat Math, Transdisciplinary Res Integrat Ctr, Res Org Informat & Syst, Tokyo, Japan
[4] Osaka Univ, Inst Sci & Ind Res, Osaka, Japan
关键词
Learning Support Software; Reinforcement Learning; Retrospection; Self-Evaluation; Self-Initiated Learning; Self-Reflection; Self-Regulated Learning;
D O I
10.4018/ijdet.2014100103
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Students engage in many learning activities outside of class but, it is not easy for them to learn on their own because they also need to identify what activities to perform, decide how long to engage in them, evaluate their progress, shift to other activities if needed and avoid distractions aside from others. This research designed and implemented a learning support tool called Sidekick, which used a retrospective approach to help students analyze and evaluate their own behavior so they can adjust it accordingly. The results showed that students benefitted from understanding their behavior more. It also showed how students' learning behavior changed over time and the differences in the type and amount of change between learning sessions according to students' level of autonomy. Less autonomous students seemed to improve less compared to highly autonomous students however, the system was able to encourage them to recall and self-evaluate which they might not have done without the system.
引用
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页码:32 / 54
页数:23
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