Ecological Learning Space Teaching Mode Based on Investigative Study – Case Study of Computer Image Processing

Computer Image Processing is a foundation course of computer specialty. Due to the problem of teaching method and students’ ability problem, the teaching process is boring and students are absent-minded in class, thus leading to low teaching efficiency of Computer Image Processing and low teaching q...

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Veröffentlicht in:International journal of emerging technologies in learning 2019-01, Vol.14 (4), p.89
Hauptverfasser: Zhu, Ping, Xuan, Yinan, Xu, Zhe
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container_title International journal of emerging technologies in learning
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creator Zhu, Ping
Xuan, Yinan
Xu, Zhe
description Computer Image Processing is a foundation course of computer specialty. Due to the problem of teaching method and students’ ability problem, the teaching process is boring and students are absent-minded in class, thus leading to low teaching efficiency of Computer Image Processing and low teaching quality. As well, the learning effect and level cannot meet the requirement of market and society. On this basis, Computer Image Processing was chosen as the teaching case to construct ecological learning space mode meeting the course requirements on the basis of investigative study and under the guidance of interactive theory. Besides, the students of computer major were chosen as the objects of study for one-semester teaching practice. Questionnaire survey and interview were combined for empirical research in order to innovate for teaching mode of Computer Image Processing and provide higher-quality computer talents for the society. The investigation found that the teaching mode is well welcomed by students and greatly improves their learning initiative and learning effect.
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source Education Source; EZB-FREE-00999 freely available EZB journals
subjects Computers
Educational Practices
Educational Quality
Students
Teacher Effectiveness
Teaching Methods
title Ecological Learning Space Teaching Mode Based on Investigative Study – Case Study of Computer Image Processing
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