Abstract: As changes in higher education systems become more complex and the requirements for accountability, transparency, and measurable outcomes have also increased; there is a growing demand for quality assurance systems that are more responsive to institutions’ needs. Current quality control systems rely mainly on retrospective reporting and scheduled evaluations; these approaches do not provide timely feedback for continuous improvement. Rapidly changing teaching and learning environments, due to digitalization, have provided higher education institutions with a vast amount of educational data to support the development and implementation of data-driven methods.......
Keywords: Higher Education Quality, Learning Analytics, Academic Dashboards, Performance Monitoring, Data-Driven Decision Making
1. Arnold, K. E., & Pistilli, M. D. (2015). Course signals at Purdue: Using learning analytics to increase student success. Proceedings of the 5th International Conference on Learning Analytics and Knowledge, 267–270. 2. Bichsel, J. (2016). Analytics in Higher Education: Benefits, Barriers, Progress, and Recommendations. EDUCAUSE Center for Analysis and Research. 3. Brooks, C., Thompson, C., & Teasley, S. (2015). A time series interaction analysis method for building predictive models of learners using log data. Proceedings of the Learning Analytics & Knowledge Conference, 126–135. 4. Brown, M., Dehoney, J., & Millichap, N. (2015). The Next Generation Digital Learning Environment: A Report on Research. EDUCAUSE. 5. Dawson, S., Gašević, D., Siemens, G., &Joksimović, S. (2016). Current state and future trends: A citation network analysis of learning analytics. Proceedings of LAK Conference, 231–240.