2020
DOI: 10.3390/fi12080137
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Progressive Teaching Improvement For Small Scale Learning: A Case Study in China

Abstract: Learning data feedback and analysis have been widely investigated in all aspects of education, especially for large scale remote learning scenario like Massive Open Online Courses (MOOCs) data analysis. On-site teaching and learning still remains the mainstream form for most teachers and students, and learning data analysis for such small scale scenario is rarely studied. In this work, we first develop a novel user interface to progressively collect students’ feedback after each class of a course with WeChat m… Show more

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Cited by 3 publications
(2 citation statements)
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“…Another direction is to further develop a flipped classroom. Moreover, deep-learning-based methodology [34,35] could be considered further. Finally, more work is needed to determine how to make the virtual platform more universal to various experimental courses.…”
Section: Discussionmentioning
confidence: 99%
“…Another direction is to further develop a flipped classroom. Moreover, deep-learning-based methodology [34,35] could be considered further. Finally, more work is needed to determine how to make the virtual platform more universal to various experimental courses.…”
Section: Discussionmentioning
confidence: 99%
“…This platform will provide comprehensive support for professional experimental teaching. The platform provides a space for teachers and students to communicate, analyze, discuss, and strengthen the interaction, continuous communication, and resource sharing of experimental teaching information [31,32]. In addition, the construction of this platform aims to bridge the gap between the laboratory, faculty, and students.…”
Section: Construction Objectives Of the Wechat Online Teaching Platformmentioning
confidence: 99%