The Effectiveness of Implementing Deep Learning Activities in a Blended Learning Perspective Based on Big Data Analysis

DOI

10.2991/978-94-6463-012-1_5How to use a DOI?

Keywords

Blended Teaching; Deep Learning Model; Big Data; Statistical Analysis

Abstract

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.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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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  -