The Effectiveness of Implementing Deep Learning Activities in a Blended Learning Perspective Based on Big Data Analysis
- 10.2991/978-94-6463-012-1_5How to use a DOI?
- Blended Teaching; Deep Learning Model; Big Data; Statistical Analysis
In order to solve the problem that learners’ mastery of knowledge under the blended teaching mode only stays on the surface and lacks deep learning of knowledge. Based on big data application combined with DELC deep learning route, this study proposes an effective deep learning activity model in terms of constructing learning ladder, activating learning motivation, reconstructing migration, and process evaluation. By collecting big data of learners’ performance using different learning modes, the analysis compares the data information of learners’ average performance, pass rate and merit rate. The statistical analysis showed that the performance of the group using blended deep learning mode is improved.
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Cite this article
TY - CONF AU - Lurong Sun AU - Jianing Wang AU - Dan Gong AU - Nana Jiang PY - 2022 DA - 2022/12/09 TI - The Effectiveness of Implementing Deep Learning Activities in a Blended Learning Perspective Based on Big Data Analysis BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 29 EP - 37 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_5 DO - 10.2991/978-94-6463-012-1_5 ID - Sun2022 ER -