References
- Alachiotis, N., Stavropoulos, E., & Verykios, V. (2019). Analyzing Learners Behavior and Resources Effectiveness in a Distance Learning Course: A Case Study of the Hellenic Open University. Journal of Information Science Theory and Practice, 7(3), 6–20. https://doi.org/10.1633/JISTaP.2019.7.3.1
- Alzahrani, A. S., Tsai, Y.-S., Iqbal, S., Marcos, P. M. M., Scheffel, M., Drachsler, H., Kloos, C. D., Aljohani, N., & Gasevic, D. (2023). Untangling connections between challenges in the adoption of learning analytics in higher education. Education and Information Technologies, 28(4), 4563–4595. https://doi.org/10.1007/s10639-022-11323-x
- Arthars, N., Dollinger, M., Vigentini, L., Liu, D. Y.-T., Kondo, E., & King, D. M. (2019). Empowering Teachers to Personalize Learning Support. In D. Ifenthaler, D.-K. Mah, & J. Y.-K. Yau (Eds.), Utilizing Learning Analytics to Support Study Success (pp. 223–248). Springer International Publishing. https://doi.org/10.1007/978-3-319-64792-0_13
- Bakharia, A., Corrin, L., de Barba, P., Kennedy, G., Gašević, D., Mulder, R., Williams, D., Dawson, S., & Lockyer, L. (2016). A conceptual framework linking learning design with learning analytics. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 329–338. https://doi.org/10.1145/2883851.2883944
- Bamiah, M., Brohi, S. N., & Bashari, B. (2018). Big data technology in education: Advantages, implementations, and challenges. https://www.semanticscholar.org/paper/BIG-DATA-TECHNOLOGY-IN-EDUCATION%3A-ADVANTAGES%2C-AND-Bamiah-Brohi/f3f8c935382d3762aaa2c71d16b155ea6bb9d41b
- Banihashem, S. K., Dehghanzadeh, H., Clark, D., Noroozi, O., & Biemans, H. J. A. (2023). Learning analytics for online game-Based learning: A systematic literature review. Behaviour & Information Technology, 0(0), 1–28. https://doi.org/10.1080/0144929X.2023.2255301
- Bart, R., Olney, T., Nichols, M., & Herodotou, C. (2020). Effective usage of learning analytics: What do practitioners want and where should distance learning institutions be going? Open Learning: The Journal of Open, Distance and e-Learning, 35(2), 178–195. https://doi.org/10.1080/02680513.2019.1690441
- Bellini, C., Santis, A. D., Sannicandro, K., & Minerva, T. (2019). Data management in Learning Analytics: Terms and perspectives. Journal of E-Learning and Knowledge Society, 15(3), 135–144. https://doi.org/10.20368/1971-8829/1135021
- Cagliero, L., Farinetti, L., & Baralis, E. (2019). Recommending Personalized Summaries of Teaching Materials. IEEE Access, 7, 22729–22739. IEEE Access. https://doi.org/10.1109/ACCESS.2019.2899655
- Cambruzzi, W. L., Rigo, S., & Barbosa, J. L. V. (2015). Dropout Prediction and Reduction in Distance Education Courses with the Learning Analytics Multitrail Approach. J. Univers. Comput. Sci. https://www.semanticscholar.org/paper/Dropout-Prediction-and-Reduction-in-Distance-with-Cambruzzi-Rigo/0514ab-690697f3ca3d98dc16b9be195c160bb52c
- Cobo-Rendon, R., Lobos Peña, K., Mella-Norambuena, J., Cisternas San Martin, N., & Peña, F. (2021). Longitudinal Analysis of Teacher Technology Acceptance and Its Relationship to Resource Viewing and Academic Performance of College Students during the COVID-19 Pandemic. Sustainability, 13(21), Article 21. https://doi.org/10.3390/su132112167
- Cobos, R., & Ruiz-Garcia, J. C. (2021). Improving learner engagement in MOOCs using a learning intervention system: A research study in engineering education. Computer Applications in Engineering Education, 29(4), 733–749. https://doi.org/10.1002/cae.22316
- Cohen, J. A. (2018). Evidence based learning design – the opportunities afforded by learning analytics. Development and Learning in Organizations: An International Journal, 32(4), 10–13. https://doi.org/10.1108/DLO-10-2017-0084
- Colvin, C., Rogers, T., Wade, A., Dawson, S., Gasevic, D., Shum, S. B., Nelson, K., Alexander, S., Lockyer, L., Kennedy, G., Corrin, L., & Fisher, J. (2015). Student retention and learning analytics: A snapshot of Australian practices and a framework for advancement. https://www.research.ed.ac.uk/en/publications/student-retention-and-learning-analytics-a-snapshot-of-australian
- Cui, Y., Chen, F., & Shiri, A. (2020). Scale up predictive models for early detection of at-risk students: A feasibility study. Information and Learning Sciences, 121(3/4), 97–116. https://doi.org/10.1108/ILS-05-2019-0041
- Daniel, B., & Butson, R. (2013). Technology Enhanced Analytics (TEA) in Higher Education. International Association for Development of the Information Society. https://www.semanticscholar.org/paper/Technology-Enhanced-Analytics-(TEA)-in-Higher-Daniel-Butson/eb1aaedbca779afa0965e0a49e102ca4d9bd5e86
- Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
- de Freitas, S., Gibson, D., Du Plessis, C., Halloran, P., Williams, E., Ambrose, M., Dunwell, I., & Arnab, S. (2015). Foundations of dynamic learning analytics: Using university student data to increase retention. British Journal of Educational Technology, 46(6), 1175–1188. https://doi.org/10.1111/bjet.12212
- De Laet, T., Millecamp, M., Ortiz-Rojas, M., Jimenez, A., Maya, R., & Verbert, K. (2020). Adoption and impact of a learning analytics dashboard supporting the advisor—Student dialogue in a higher education institute in Latin America. British Journal of Educational Technology, 51(4), 1002–1018. https://doi.org/10.1111/bjet.12962
- de Oliveira, C. F., Sobral, S. R., Ferreira, M. J., & Moreira, F. (2021). How Does Learning Analytics Contribute to Prevent Students’ Dropout in Higher Education: A Systematic Literature Review. Big Data and Cognitive Computing, 5(4), Article 4. https://doi.org/10.3390/bdcc5040064
- Deng, H., Wang, X., Guo, Z., Decker, A., Duan, X., Wang, C., Alex Ambrose, G., & Abbott, K. (2019). PerformanceVis: Visual analytics of student performance data from an introductory chemistry course. Visual Informatics, 3(4), 166–176. https://doi.org/10.1016/j.visinf.2019.10.004
- Dietz-Uhler, B., & Hurn, J. E. (2013). Using Learning Analytics to Predict (and Improve) Student Success: A Faculty Perspective. Journal of Interactive Online Learning, 12(1), 17–26.
- Dollinger, M., Liu, D., Arthars, N., & Lodge, J. (2019). Working Together in Learning Analytics Towards the Co-Creation of Value. Journal of Learning Analytics, 6(2), Article 2. https://doi.org/10.18608/jla.2019.62.2
- Drachsler, H., & Kalz, M. (2016). The MOOC and learning analytics innovation cycle (MOLAC): A reflective summary of ongoing research and its challenges. Journal of Computer Assisted Learning, 32(3), 281–290. https://doi.org/10.1111/jcal.12135
- Ferguson, R., Clow, D., Griffiths, D., & Brasher, A. (2019). Moving Forward with Learning Analytics: Expert Views. Journal of Learning Analytics, 6(3), Article 3. https://doi.org/10.18608/jla.2019.63.8
- Foster, C., & Francis, P. (2020). A systematic review on the deployment and effectiveness of data analytics in higher education to improve student outcomes. Assessment & Evaluation in Higher Education, 45(6), 822–841. https://doi.org/10.1080/02602938.2019.1696945
- Gedrimiene, E., Silvola, A., Pursiainen, J., Rusanen, J., & Muukkonen, H. (2020). Learning Analytics in Education: Literature Review and Case Examples From Vocational Education. Scandinavian Journal of Educational Research, 64(7), 1105–1119. https://doi.org/10.1080/00313831.2019.1649718
- Gibson, D. (2012). Game Changers for Transforming Learning Environments. In F. S. Miller (Ed.), Transforming Learning Environments: Strategies to Shape the Next Generation (Vol. 16, pp. 215–235). Emerald Group Publishing Limited. https://doi.org/10.1108/S1479-3660(2012)0000016014
- Godínez, T. B., Garza, G. C., Mora, R. P., Ceballos, H. G., Luz, V. L. de la, Moreno-Salinas, J. G., Zavala-Sierra, I. R., Santos-Solórzano, R., Arellano, C. I. M., & Sánchez-Mendiola, M. (2024). Perspectives and Opportunities for Learning Analytics Integration: A Qualitative Study in Mexican Universities. Journal of Learning Analytics, 11(1), Article 1. https://doi.org/10.18608/jla.2024.8125
- Gunn, C., McDonald, J., Donald, C., Milne, J., & Blumenstein, M. (2017). Building an evidence base for teaching and learning design using learning analytics: Project report [Report]. Ako Aotearoa. https://researchspace.auckland.ac.nz/handle/2292/58895
- Hall, G. E. (1979). The concerns-based approach to facilitating change. Educational Horizons, 57(4), 202–208.
- Hernández-de-Menéndez, M., Morales-Menendez, R., Escobar, C. A., & Ramírez Mendoza, R. A. (2022). Learning analytics: State of the art. International Journal on Interactive Design and Manufacturing (IJIDeM), 16(3), 1209–1230. https://doi.org/10.1007/s12008-022-00930-0
- Herodotou, C., Maguire, C., McDowell, N., Hlosta, M., & Boroowa, A. (2021). The engagement of university teachers with predictive learning analytics. Computers & Education, 173, 104285. https://doi.org/10.1016/j.compedu.2021.104285
- Hilliger, I., Ortiz-Rojas, M., Pesántez-Cabrera, P., Scheihing, E., Tsai, Y.-S., Muñoz-Merino, P. J., Broos, T., Whitelock-Wainwright, A., Gašević, D., & Pérez-Sanagustín, M. (2020). Towards learning analytics adoption: A mixed methods study of data-related practices and policies in Latin American universities. British Journal of Educational Technology, 51(4), 915–937. https://doi.org/10.1111/bjet.12933
- Honson, V., Vu, T., Tran, T. P., & Tejada Estay, W. (2024). Using learning analytics to alleviate course and student support administrative load for large classes: A case study. Journal of Work-Applied Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JWAM-11-2023-0121
- Ifenthaler, D., Gibson, D., & Dobozy, E. (2018). Informing learning design through analytics: Applying network graph analysis. Australasian Journal of Educational Technology, 34(2), Article 2. https://doi.org/10.14742/ajet.3767
- Kaliisa, R., Kluge, A., & Mørch, A. I. (2022). Overcoming Challenges to the Adoption of Learning Analytics at the Practitioner Level: A Critical Analysis of 18 Learning Analytics Frameworks. Scandinavian Journal of Educational Research. https://www.tandfonline.com/doi/abs/10.1080/00313831.2020.1869082
- Kaliisa, R., Mørch, A. I., & Kluge, A. (2022). ‘My Point of Departure for Analytics is Extreme Skepticism’: Implications Derived from An Investigation of University Teachers’ Learning Analytics Perspectives and Design Practices. Technology, Knowledge and Learning, 27(2), 505–527. https://doi.org/10.1007/s10758-020-09488-w
- Knobbout, J., van der Stappen, E., Versendaal, J., & van de Wetering, R. (2023). Supporting Learning Analytics Adoption: Evaluating the Learning Analytics Capability Model in a Real-World Setting. Applied Sciences, 13(5), Article 5. https://doi.org/10.3390/app13053236
- Kurniati, E., Suwono, H., Ibrohim, I., Suryadi, A., & Saefi, M. (2022). International Scientific Collaboration and Research Topics on STEM Education: A Systematic Review. Eurasia Journal of Mathematics, Science and Technology Education, 18(4), em2095. https://doi.org/10.29333/ejmste/11903
- Lim, W. M. (2020). Challenger marketing. Industrial Marketing Management, 84, 342–345. https://doi.org/10.1016/j.indmarman.2019.08.009
- Mahmoud, M., Dafoulas, G., Abd ElAziz, R., & Saleeb, N. (2020). Learning analytics stakeholders’ expectations in higher education institutions: A literature review. The International Journal of Information and Learning Technology, 38(1), 33–48. https://doi.org/10.1108/IJILT-05-2020-0081
- Mahmoud, M., Dafoulas, G., ElAziz, R. A., & Saleeb, N. (2022). Factors Affecting the Deployment of Learning Analytics in Developing Countries: Case of Egypt. International Journal of Emerging Technologies in Learning (iJET), 17(03), Article 03. https://doi.org/10.3991/ijet.v17i03.24405
- Masiello, I., Mohseni, Z. (Artemis), Palma, F., Nordmark, S., Augustsson, H., & Rundquist, R. (2024). A Current Overview of the Use of Learning Analytics Dashboards. Education Sciences, 14(1), Article 1. https://doi.org/10.3390/educsci14010082
- Mohseni, Z. (Artemis), Masiello, I., & Martins, R. M. (2023). Co-Developing an Easy-to-Use Learning Analytics Dashboard for Teachers in Primary/Secondary Education: A Human-Centered Design Approach. Education Sciences, 13(12), Article 12. https://doi.org/10.3390/educsci13121190
- Muljana, P. S., & Luo, T. (2021). Utilizing learning analytics in course design: Voices from instructional designers in higher education. Journal of Computing in Higher Education, 33(1), 206–234. https://doi.org/10.1007/s12528-020-09262-y
- Muñoz-Merino, P. J., Moreno-Marcos, P. M., Rubio-Fernández, A., Tsai, Y.-S., Gašević, D., & Delgado Kloos, C. (2023). A systematic analysis of learning analytics using multi-source data in the context of Spain. Behaviour & Information Technology, 42(5), 643–657. https://doi.org/10.1080/0144929X.2022.2039767
- Naujokaitienė, J., Tamoliūnė, G., Volungevičienė, A., & Duart, J. M. (2020). Using learning analytics to engage students: Improving teaching practices through informed interactions. Journal of New Approaches in Educational Research, 9(2), Article 2. https://doi.org/10.7821/naer.2020.7.561
- Ndukwe, I. G., & Daniel, B. K. (2020). Teaching analytics, value and tools for teacher data literacy: A systematic and tripartite approach. International Journal of Educational Technology in Higher Education, 17(1), 22. https://doi.org/10.1186/s41239-020-00201-6
- Nguyen, A., Gardner, L., & Sheridan, D. (2020). Data Analytics in Higher Education: An Integrated View. Journal of Information Systems Education, 31(1), 61–71.
- Nguyen, Q., Huptych, M., & Rienties, B. (2018). Linking students’ timing of engagement to learning design and academic performance. Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 141–150. https://doi.org/10.1145/3170358.3170398
- Nunn, S., Avella, J. T., Kanai, T., & Kebritchi, M. (2016). Learning Analytics Methods, Benefits, and Challenges in Higher Education: A Systematic Literature Review. Online Learning, 20(2), Article 2. https://doi.org/10.24059/olj.v20i2.790
- Olney, T., Walker, S., Wood, C., & Clarke, A. (2021). Are We Living In LA (P)LA Land? Reporting on the Practice of 30 STEM Tutors in their Use of a Learning Analytics Implementation at the Open University. Journal of Learning Analytics, 8(3), Article 3. https://doi.org/10.18608/jla.2021.7261
- Ouhaichi, H., Spikol, D., & Vogel, B. (2023). Research trends in multimodal learning analytics: A systematic mapping study. Computers and Education: Artificial Intelligence, 4, 100136. https://doi.org/10.1016/j.caeai.2023.100136
- Paul, J., & Benito, G. R. G. (2018). A review of research on outward foreign direct investment from emerging countries, including China: What do we know, how do we know, and where should we be heading? Asia Pacific Business Review, 24(1), 90–115. https://doi.org/10.1080/13602381.2017.1357316
- Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies, 45(4), O1–O16. https://doi.org/10.1111/ijcs.12695
- Pei, B., Xing, W., & Wang, M. (2021). Academic development of multimodal learning analytics: A bibliometric analysis. Interactive Learning Environments, 31, 1–19. https://doi.org/10.1080/10494820.2021.1936075
- Petticrew, M., & Roberts, H. (2006). Systematic reviews in the social sciences: A practical guide. Blackwell Publishing. https://docs.edtechhub.org/lib/KTBSA4AP
- Piderit, S. K. (2000). Rethinking resistance and recognizing ambivalence: A multidimensional view of attitudes toward an organizational change. The Academy of Management Review, 25(4), 783–794. https://doi.org/10.2307/259206
- Qazdar, A., Hasidi, O., Qassimi, S., & Abdelwahed, E. H. (2023). Newly Proposed Student Performance Indicators Based on Learning Analytics for Continuous Monitoring in Learning Management Systems. International Journal of Online and Biomedical Engineering (iJOE), 19(11), Article 11. https://doi.org/10.3991/ijoe.v19i11.39471
- Rienties, B., Boroowa, A., Cross, S., Kubiak, C., Mayles, K., & Murphy, S. (2016). Analytics4Action Evaluation Framework: A Review of Evidence-Based Learning Analytics Interventions at the Open University UK (1). 2016(1), Article 1. https://doi.org/10.5334/jime.394
- Rogers, E. (1995). Diffusion of Innovations. New York, NY: The Free Press.
- Saar, M., Kusmin, M., Laanpere, M., Prieto, L. P., & Rüüt-mann, T. (2017). Work in progress—Semantic annotations and teaching analytics on lecture videos in engineering education. 2017 IEEE Global Engineering Education Conference (EDUCON), 1548–1551. https://doi.org/10.1109/EDUCON.2017.7943055
- Schotten, M., El Aisati, M., Meester, W. J. N., Steiginga, S., & Ross, C. A. (2017). A brief history of Scopus: The world’s largest abstract and citation database of scientific literature. In Research Analytics (pp. 31–58). CRC Press. https://doi.org/10.1201/9781315155890
- 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. https://doi.org/10.1007/s10639-022-11536-0
- Slater, S., Joksimović, S., Kovanovic, V., Baker, R. S., & Gasevic, D. (2017). Tools for Educational Data Mining: A Review. Journal of Educational and Behavioral Statistics, 42(1), 85–106. https://doi.org/10.3102/1076998616666808
- Statista. (2024). Statista Edication Market Forecast. Statista. https://www.statista.com/outlook/amo/app/education/worldwide
- Susnjak, T. (2024). Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT. International Journal of Artificial Intelligence in Education, 34(2), 452–482. https://doi.org/10.1007/s40593-023-00336-3
- Thoma, B., Warm, E., Hamstra, S. J., Cavalcanti, R., Pusic, M., Shaw, T., Verma, A., Frank, J. R., & Hauer, K. E. (2020). Next Steps in the Implementation of Learning Analytics in Medical Education: Consensus From an International Cohort of Medical Educators. Journal of Graduate Medical Education, 12(3), 303–311. https://doi.org/10.4300/JGME-D-19-00493.1
- Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
- Tsai, Y.-S., & Gasevic, D. (2017). Learning analytics in higher education --- challenges and policies: A review of eight learning analytics policies. Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 233–242. https://doi.org/10.1145/3027385.3027400
- Tsai, Y.-S., Rates, D., Moreno-Marcos, P. M., Muñoz-Merino, P. J., Jivet, I., Scheffel, M., Drachsler, H., Delgado Kloos, C., & Gašević, D. (2020). Learning analytics in European higher education—Trends and barriers. Computers & Education, 155, 103933. https://doi.org/10.1016/j.compedu.2020.103933
- van Leeuwen, A. (2019). Teachers’ perceptions of the usability of learning analytics reports in a flipped university course: When and how does information become actionable knowledge? Educational Technology Research and Development, 67(5), 1043–1064. https://doi.org/10.1007/s11423-018-09639-y
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
- West, D., Huijser, H., Heath, D., Lizzio, A., Toohey, D., Miles, C., Searle, B., & Bronnimann, J. (2016). Higher Education Teachers’ Experiences with Learning Analytics in Relation to Student Retention. Australasian Journal of Educational Technology, 32(5), Article 5. https://doi.org/10.14742/ajet.3435
- West, D., Tasir, Z., Luzeckyj, A., Na, K. S., Toohey, D., Abdullah, Z., Searle, B., Jumaat, N. F., & Price, R. (2018). Learning analytics experience among academics in Australia and Malaysia: A comparison. Australasian Journal of Educational Technology, 34(3), Article 3. https://doi.org/10.14742/ajet.3836
- Wise, A. F., & Jung, Y. (2019). Teaching with Analytics: Towards a Situated Model of Instructional Decision-Making. Journal of Learning Analytics, 6(2), Article 2. https://doi.org/10.18608/jla.2019.62.4
- Ye, D. (2022). The History and Development of Learning Analytics in Learning, Design, & Technology Field. TechTrends, 66(4), 607–615. https://doi.org/10.1007/s11528-022-00720-1
