Reading: Data-based decision-making

6. Literature

1. Agasisti, T., & Bowers, A. J. (2017). Data analytics and decision making in education: towards the educational data scientist as a key actor in schools and higher education institutions. In Handbook of Contemporary Education Economics. Edward Elgar Publishing. 
2. Chatti, M. A., & Muslim, A. (2019). The PERLA Framework: Blending Personalization and Learning Analytics. The International Review of Research in Open and Distributed Learning, 20(1). 
3. Chatti, M. A., Muslim, A., Guesmi, M., Richtscheid, F., Nasimi, D., Shahin, A., & Damera, R. (2020).How to Design Effective Learning Analytics Indicators? A Human-Centered Design Approach (pp. 303–317).
4. Divjak, B., & Maretić, M. (2017). Learning Analytics for Peer-assessment. Journal of Information and Organizational Sciences, 41(1), 21–34. 
5. Dutt, A., Ismail, M. A., & Herawan, T. (2017). A Systematic Review on Educational Data Mining. IEEE Access, 5, 15991–16005. 
6. Ferreira, S. A., & Andrade, A. (2016). Academic analytics: Anatomy of an exploratory essay. Education and Information Technologies, 21, 229–243. 
7. Gasevic, D., Tsai, Y.-S., Dawson, S., & Pardo, A. (2019). How do we start? An approach to learning analytics adoption in higher education. The International Journal of Information and Learning Technology, 36(4), 342–353. 
8. Goldstein, P. J. (2005). Academic Analytics: The Uses of Management Information and Technology in Higher Education.
9. Li, W., Sun, K., Schaub, F., & Brooks, C. (2022). Disparities in Students’ Propensity to Consent to Learning Analytics. International Journal of Artificial Intelligence in Education, 32(3), 564–608. 
10. Nguyen, A., Gardner, L., & Sheridan, D. (2020). Data Analytics in Higher Education: An Integrated View. Journal of Information Systems Education, 31(1), 61–71. 
11. Prinsloo, P. (2020). Of ‘black boxes’ and algorithmic decision-making in (higher) education – A commentary. Big Data & Society, 7(1), 205395172093399. 
12. Rienties, B., Køhler Simonsen, H., & Herodotou, C. (2020). Defining the Boundaries Between Artificial Intelligence in Education, Computer-Supported Collaborative Learning, Educational Data Mining, and Learning Analytics: A Need for Coherence. Frontiers in Education, 5. 
13. Schumacher, C., & Ifenthaler, D. (2018). Features students really expect from learning analytics. Computers in Human Behavior, 78, 397–407. 
14. Sghir, N., Adadi, A., & Lahmer, M. (2023). Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022). Education and Information Technologies, 28(7), 8299–8333. 
15. Sheikh, R. A., Bhatia, S., Metre, S. G., & Faqihi, A. Y. A. (2022). Strategic value realization framework from learning analytics: a practical approach. Journal of Applied Research in Higher Education, 14(2), 693–713. 
16. Society for Learning Analytics Research. (n.d.). 
17. 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(1), 12. 
18. Tsai, Y.-S., & Gasevic, D. (2017). Learning analytics in higher education --- challenges and policies. Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 233–242. 
19. Tsai, Y.-S., Kovanović, V., & Gašević, D. (2021). Connecting the dots: An exploratory study on learning analytics adoption factors, experience, and priorities. The Internet and Higher Education, 50, 100794. 
20. Tsai, Y.-S., Moreno-Marcos, P. M., Jivet, I., Scheffel, M., Tammets, K., Kollom, K., Gašević, D., Hashim, F., Alam, G. M., Siraj, S., Macfadyen, L. P., Dawson, S., Mahroeian, H., Daniel, B., Okoye, K., Arrona-Palacios, A., Camacho-Zuñiga, C., Hammout, N., Nakamura, E. L., … Pardo, A. (2018). The SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics. Journal of Learning Analytics, 5(3), 31–47. 
21. Tsai, Y.-S., Singh, S., Rakovic, M., Lim, L.-A., Roychoudhury, A., & Gasevic, D. (2022). Charting Design Needs and Strategic Approaches for Academic Analytics Systems through Co-Design. LAK22: 12th International Learning Analytics and Knowledge Conference, 381–391. 
22. Valcik, N. A. (2012). Using Geospatial Information Systems for Strategic Planning and Institutional Research for Higher Education Institutions. International Journal of Strategic Information Technology and Applications, 3(4), 31–47.
23. van Barneveld, A., Arnold, K., & Campbell, J. (2012). Analytics in Higher Education: Establishing a Common Language.