Research Article
Research on Hybrid Teaching Pattern Design in Applied Colleges and Universities Under the Background of Big Data
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@INPROCEEDINGS{10.1007/978-3-030-87903-7_35, author={Lili Qi}, title={Research on Hybrid Teaching Pattern Design in Applied Colleges and Universities Under the Background of Big Data}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part II}, proceedings_a={BIGIOT-EDU PT2}, year={2021}, month={10}, keywords={BP neural network Applied University Mixed teaching mode}, doi={10.1007/978-3-030-87903-7_35} }- Lili Qi
Year: 2021
Research on Hybrid Teaching Pattern Design in Applied Colleges and Universities Under the Background of Big Data
BIGIOT-EDU PT2
Springer
DOI: 10.1007/978-3-030-87903-7_35
Abstract
This study aims at the problems in the theoretical research and teaching practice of Hybrid Teaching Based on BP neural network. In the aspect of theoretical research, it combs the research status of blended teaching at home and abroad. Combined with practical teaching experience, this paper constructs a hybrid teaching mode based on intelligent teaching platform, and optimizes classroom teaching design from five aspects: learning task list, teaching resources, teaching activities, teaching evaluation and teaching strategies. Teaching experiment research in teaching practice. And the teaching experiment was carried out.
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