Research on educational applications based on diagnostic learning analytics in the context of big data analytics

[1] Lin, Y. T. (2019). Impacts of a flipped classroom with a smart learning diagnosis system on students’ learning performance, perception, and problem solving ability in a software engineering course. Computers in Human Behavior, 95(JUN.), 187-196. Search in Google Scholar

[2] Safadi, R. S. (2021). Learning from self-diagnosis activities when contrasting students’ own solutions with worked examples: the case of 10th graders studying geometric optics. Research in science education, 51(2). Search in Google Scholar

[3] Potter, & Carol, A. (2017). “i received a leaflet and that is all”: father experiences of a diagnosis of autism. British Journal of Learning Disabilities, 45(2), 95-105. Search in Google Scholar

[4] Reinstein, I., Hill, J., Cook, D. A., Lineberry, M., & Pusic, M. V. (2021). Multi-level longitudinal learning curve regression models integrated with item difficulty metrics for deliberate practice of visual diagnosis: groundwork for adaptive learning. Advances in Health Sciences Education, 1-32. Search in Google Scholar

[5] Albert, M., & Uhlig, M. (2022). Education for sustainable development at chemnitz university of technology. International journal of sustainability in higher education. Search in Google Scholar

[6] Stork, M. G., & Heller, M. F. (2017). Is technology good for education?. Journal of Educational Research. Search in Google Scholar

[7] Jeffrey, B., Niall, S., Donal, C., & Lena, G. (2018). Visualization, inductive reasoning, and memory span as components of fluid intelligence: implications for technology education. International Journal of Educational Research, 90, 64–77. Search in Google Scholar

[8] Kure, A. E., Brevik, L. M., & Blikstad-Balas, M. (2023). Digital skills critical for education: video analysis of students’ technology use in norwegian secondary english classrooms. Journal of computer assisted learning. Search in Google Scholar

[9] Thompson, K., & Lodge, J. M. (2020). 2020 vision: what happens next in education technology research in australia. Australasian Journal of Educational Technology(4). Search in Google Scholar

[10] Alcala, D. H., Garijo, A. H., Villora, S., & Extremera, A. (2020). “cooperative learning does not work for me”: analysis of its implementation in future physical education teachers. Frontiers in Psychology. Search in Google Scholar

[11] Lin, Y. L., & Wang, W. T. (2023). Analysis of the social interaction of perceived problem-based learning performance in internship courses. Journal of computer assisted learning. Search in Google Scholar

[12] Schneider, S., Beege, M., Nebel, S., & Rey, Günter Daniel. (2017). A meta-analysis of how signaling affects learning with media. Educational Research Review, 23, 1-24. Search in Google Scholar

[13] Chang, M. M., & Hung, H. T. (2019). Effects of technology-enhanced language learning on second language acquisition: a meta-analysis. Educational Technology & Society, 22. Search in Google Scholar

[14] Disessa, A. A. (2017). Conceptual change in a microcosm: comparative learning analysis of a learning event. Human Development, 60(4), 201-201. Search in Google Scholar

[15] Williamson, B. (2020). Education technology seizes a pandemic opening. Current history (New York, N.Y.: 1941), 120(822), 15-20. Search in Google Scholar

[16] Sun, X. (2022). Application of data mining technology in college mental health education. Frontiers in psychology, 13, 974576. Search in Google Scholar

[17] Lee, J. Y., & Park, S. (2017). Analysis of critical success factors of online international learning exchange of korean school pupils with english-speaking counterparts. British Journal of Educational Technology. Search in Google Scholar