De Quincey, E., Briggs, C., Kyriacou, T., & Waller, R. (2019). Student centred design of a learning analytics system. In: LAK19: 9th Learning Analytics and Knowledge Conference. Association for Computing Machinery, New York, NY, USA (pp. 353–362).
Jivet, I., Wong, J., Scheffel, M., Valle Torre M., Specht, M., and Drachsler, H. (2021). Quantum of Choice: How learners’ feedback monitoring decisions, goals and self-regulated learning skills are related. In LAK21: 11th International Learning Analytics and Knowledge Conference (LAK21), April 12–16, 2021, Irvine, CA, USA. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3448139.3448179
Pokhrel, J. & Awasthi, A. (2021). Effectiveness of Dashboard and Intervention Design. In Sahin, M. & Ifenthaler, D. (eds.), Visualizations and Dashboards for Learning Analytics, Advances in Analytics for Learning and Teaching. Chapter 5, pp. 93-116. https://doi.org/10.1007/978-3-030-81222-5_5
Rets, I., Herodotou, C., Bayer, V. et al. (2021). Exploring critical factors of the perceived usefulness of a learning analytics dashboard for distance university students. Int. J. Educ. Technol. High. Educ., 18:46. https://doi.org/10.1186/s41239-021-00284-9
Schumacher, C., & Ifenthaler, D. (2018). The importance of students’ motivational dispositions for designing learning analytics. Journal of Computing in Higher Education, 30, pp. 599-619. https://link.springer.com/article/10.1007/s12528-018-9188-y
Sedrakyan, G., Malmberg, J., Verbert, K., Järvelä, S., & Kirschner, P. (2018). Linking Learning Behavior Analytics and Learning Science Concepts: Designing a Learning Analytics Dashboard for Feedback to Support Learning Regulation. Computers in Human Behavior, 107. https://doi.org/10.1016/j.chb.2018.05.004
Susnjak, T., Ramaswami, G.S. & Mathrani, A. (2022). Learning analytics dashboard: a tool for providing actionable insights to learners. International Journal of Educational Technology in Higher Education 19(12). https://doi.org/10.1186/s41239-021-00313-7
Wiedbusch, MD., Kite, V., Yang, X., Park, S., Chi, M., Taub, M. and Azevedo, R. (2021). A Theoretical and Evidence-Based Conceptual Design of MetaDash: An Intelligent Teacher Dashboard to Support Teachers’ Decision Making and Students’ Self- Regulated Learning. Front. Educ., 19 February 2021. https://doi.org/10.3389/feduc.2021.570229
Ostatnia modyfikacja: poniedziałek, 13 lutego 2023, 11:48