Research and Application of Progressive Blended Instructional Mode Based on Generative Artificial Intelligence
- DOI
- 10.2991/978-94-6463-568-3_59How to use a DOI?
- Keywords
- Blended Instructional Model; Generative Artificial Intelligence; Deep Learning
- Abstract
Based on the background of Artificial Intelligence, this paper applies deep learning theories and methods, and combines the interaction between technology and education field to explore the effective integration mechanism of Generative Artificial Intelligence and hybrid instructional mode. It breaks through most of the traditional research categories of Instructional activities based on the three major Instructional processes of pre-class, mid-class and post-class. Based on the deep learning path, it establishes a progressive hybrid Instructional model based on Generative Artificial Intelligence, and applies this model to the course “Planning and Operation of Live E-commerce” to test its effect. The results show that this model is conducive to improving students’ logical thinking ability, problem-solving ability, innovation ability and critical thinking. This model provides a new idea for the integration of Generative Artificial Intelligence and Instructional, innovates and enriches the online and offline mixed Instructional model, and provides a demonstration for subsequent relevant research.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Fenfen Ao PY - 2024 DA - 2024/11/27 TI - Research and Application of Progressive Blended Instructional Mode Based on Generative Artificial Intelligence BT - Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024) PB - Atlantis Press SP - 489 EP - 499 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-568-3_59 DO - 10.2991/978-94-6463-568-3_59 ID - Ao2024 ER -