Application of Artificial Intelligence Technologies in Blended E-Learning Platforms

DOI

10.2991/978-94-6463-417-4_23How to use a DOI?

Keywords

artificial intelligence techniques; blended; e-learning; curriculum; neural collaborative filtering algorithms

Abstract

With the development of AI technologies, AI application in education has become increasingly important, especially in blended e-learning platforms. However, these platforms often face the problems of course recommendation accuracy and data sparsity. To this end, the study proposes an improved neural collaborative filtering algorithm that incorporates temporal information to enhance the performance of the recommendation system. The results show that in explicit feedback evaluation, the research algorithm improves 58.3% in root-mean-square error and 59.1% in mean absolute error over the traditional collaborative filtering algorithm. In the implicit feedback evaluation, the proposed algorithm achieves 0.44 at NDCG@10 and 0.5257 at HR@10, both of which are superior to the traditional collaborative filtering algorithm. It can be found that the research algorithm can effectively improve the accuracy and adaptability of the recommender system. The study not only improves the course recommendation effect on the blended e-learning platform, but also provides an important reference value on how to optimize the recommendation system using temporal information and artificial intelligence technology.

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.

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TY  - CONF
AU  - Xuan Liu
AU  - Haobo Bai
PY  - 2024
DA  - 2024/05/07
TI  - Application of Artificial Intelligence Technologies in Blended E-Learning Platforms
BT  - Proceedings of the 2024 5th International Conference on Big Data and Informatization Education (ICBDIE 2024)
PB  - Atlantis Press
SP  - 251
EP  - 262
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-417-4_23
DO  - 10.2991/978-94-6463-417-4_23
ID  - Liu2024
ER  -