Personalisation based on data mining
This process involves adapting the learning experience through the use of data mining methods to achieve personalisation. It applies data analysis techniques to generate insights from learner data, enabling functions such as prediction and classification. By leveraging statistical techniques and algorithms, including machine learning, data mining helps identify patterns, trends, and insights that are essential for creating personalised learning experiences for distance learners. Thus, data mining can be used to analyse learners’ needs and preferences, such as their learning behaviours, engagement with content, and academic performance, in order to provide personalised educational content. This may include recommending suitable learning resources and tailoring learning experiences to individual learners.
Resources
- Bian, L. (2021). Integration of “Offline + Online” Teaching Method of College English Based on Web Search Technology. Journal of Web Engineering, 20(5), 1145–1156. https://doi.org/10.13052/jwe1540-9589.20512
- Ji, X., Sun, L., Xu, X., & Lei, X. (2024). Construction and innovative exploration of personalized learning systems in the context of educational data mining. International Journal of Information and Communication Technology Education (IJICTE), 20(1), 1–14.
- Lin, C., Yeh, Y., Hung, Y., & Chang, R. (2013). Data mining for providing a personalized learning path in creativity: An application of decision trees. Computers & Education, 68, 199–210. https://doi.org/10.1016/j.compedu.2013.05.009
- Sahu, S., Padhy, N., Mohapatra, S., Patra, A., Kumar, A., & Choudhary, R. K. (2024, May). Educational data mining for personalized learning: A sentiment analysis and process control perspective. In Proceedings (Vol. 105, No. 1, p. 77). MDPI.
- Xiong, Z., Li, H., Liu, Z., Chen, Z., Zhou, H., Rong, W., & Ouyang, Y. (2024). A review of data mining in personalized education: Current trends and future prospects. Frontiers of Digital Education, 1(1), 26–50.
- Yu, J., & Sun, W. (2024). DNN-Based Resource Recommendation for Ideology Theory Courses Online. International Journal of E-Collaboration, 20(1). https://doi.org/10.4018/IJeC.349976
- Zhang, Y. (2025). Optimizing Personalized Learning Paths in Mobile Education Platforms Based on Data Mining. International Journal of Interactive Mobile Technologies, 19(12).