Data Visualisation
Data visualisation is an essential technique for providing feedback to both educators and students in a clear and simple format. Through visualisation, dashboards can inform learners about their progress using interactive graphs, charts, and statistical summaries. For example, distance learners can track their progress and receive personalised feedback tailored to their needs and characteristics.
Data analysed through visualisation can also inform educators about students’ progress and the interventions needed to enhance engagement. For instance, visualised data may indicate whether instructional methods need refinement or whether adaptive strategies should be implemented to better support students’ learning progress.
Data Mining
Data mining involves the use of algorithms to analyse existing data and evaluate learner performance, such as through portfolios or web log data used in performance assessment. Such available data can be used to enable adaptive learning through recommendations.
Data Analytics
Data analytics can also be used to identify learner characteristics, such as determining learner profiles through assessment tools like questionnaires administered during the learning process.
Resources
- Learning Analytics Dashboard
- How to Build a Personal Learning Dashboard Using AI Tools
- How to Build a Personalized AI Learning Dashboard with Free Tools
- Using AI to Personalize Homework and Assignments
References
- Aljabali, R., Ahmad, N., Yusof, A. F., Miskon, S., Ali, N. M., & Musa, S. (2020). Personalized gamified learning based on learning style: An experimental study. Journal of Theoretical and Applied Information Technology, 98(22), 3474–3488.
- Bian, L. (2021). Integration of “offline + online” teaching method of college English based on web search technology. Journal of Web Engineering, 20(4), 1207–1218.
- Chen, C. M., Chen, Y. Y., & Liu, C. Y. (2007). Learning performance assessment approach using web-based learning portfolios for e-learning systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37(6), 1349–1359.
- Maraza Quispe, B., Ninasivincha Apfata, J. E., Quispe Figueroa, R. C., & Valderrama Solis, M. A. (2021, October). Design proposal of a personalized dashboard to optimize teaching-learning in virtual learning environments. In Proceedings of the 13th International Conference on Education Technology and Computers (pp. 77–84).
- Martins, L., & Garcia, E. C. (2024). Designing a learning dashboard to promote self-regulation in higher education. In Digital assessment in higher education: Navigating and researching challenges and opportunities (pp. 89–116). Springer Nature Singapore.
- Roberts, L. D., Howell, J. A., & Seaman, K. (2017). Give me a customizable dashboard: Personalized learning analytics dashboards in higher education. Technology, Knowledge and Learning, 22(3), 317–333.
- Seidel, N., Meyer, V., & Radović, S. (2024, July). Co-design of an adaptive personalized learner dashboard. In 2024 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 26–28). IEEE.