The analysis of Video Learning Behaviors in Maker''s Practices

碩士 === 中原大學 === 資訊工程研究所 === 105 === The purpose of this study take two parts. The first part, combine the national 12-year Compulsory Education competence indicators with learning activities and materials. Then correspond to the Maker education, so that the students can grasp ability corresponding t...

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Bibliographic Details
Main Authors: Wu, Chen-Hao, 吳振豪
Other Authors: Jia-Sheng Heh
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/232zu9
Description
Summary:碩士 === 中原大學 === 資訊工程研究所 === 105 === The purpose of this study take two parts. The first part, combine the national 12-year Compulsory Education competence indicators with learning activities and materials. Then correspond to the Maker education, so that the students can grasp ability corresponding to teaching activities, through the hands-On, discussion and sharing. The experiment will be designed to use tutorial video as learning materials. In different content of tutorial video will mapping to competence indicators; The second part, the design a e-learning system, so that students can watch the video through the Internet browser to learn and practice, at same time record the students'' watching behavior, with that we can know students'' state in watching tutorial video. A total of 110 students participated in the experiment, including 54 for the experimental group to use the experiment system, and the other 56 as control group to use the traditional teaching methods. The results showed that the median time of the students in the experimental group was earlier than the control group. From all of the tutorial video watching behavior record that students most stay on "Program Debugging". Then students'' watching behavior can be divided into five types: 1. The type of do not watch video; 2. The type of skip; 3. The type of continuous; 4. The type of repeat; 5. The type of breakpoint. This study investigates that through this system can know the students'' difficulties encountered in watching video behavior, and make targeted adjustments for teaching. With students'' watching behavior correspond with ability indicators to a formation of state and behavior transaction, composed a Petri net so that can produce teaching strategies in the future.