Reflections on and Exploration of Academic Early Warning Management and Support for Students in Colleges and Universities

[1] Maluleke, N. P., Khoza-Shangase, K., & Kanji, A. (2021). School readiness and academic achievement of children with hearing impairment: a south african exploratory study. South African Journal of Childhood Education(1). Search in Google Scholar

[2] Cmara-Costa, H., Salomé Pulgar, Cusin, F., Labrell, F., & Dellatolas, G. (2021). Associations of language-based bedtime routines with early cognitive skills and academic achievement: a follow-up from kindergarten to middle school. British Journal of Developmental Psychology. Search in Google Scholar

[3] Kado, K., Dorji, N., Dem, N., & Om, D. (2021). The effect of differentiated instruction on academic achievement of grade eleven students in the field of derivative in bhutan. Search in Google Scholar

[4] Hu, Y. H., Lo, C. L., & Shih, S. P. (2014). Developing early warning systems to predict students’ online learning performance. Computers in Human Behavior, 36, 469-478. Search in Google Scholar

[5] Qun, Zhao, Jin-Long, Wang, Tsang-Long, & Pao, et al. (2019). Modified fuzzy rule-based classification system for early warning of student learning:. Journal of Educational Technology Systems, 48(3), 385-406. Search in Google Scholar

[6] Massing, T., Reckmann, N., Klenke, J., Otto, B., Hanck, C., & Goedicke, M. (2021). Effects of early warning emails on student performance. Search in Google Scholar

[7] Wang, S. J. (2021). Sustainable development of college and university education by use of data mining methods. Pediatric obesity., 16(5). Search in Google Scholar

[8] Haimovich, F., Vazquez, E., & Adelman, M. (2021). Scalable early warning systems for school dropout prevention: evidence from a 4.000-school randomized controlled trial. CEDLAS, Working Papers. Search in Google Scholar

[9] Young, E. L., Moulton, S. E., & Julian, A. (2021). Integrating social-emotional-behavioral screening with early warning indicators in a high school setting. Preventing School Failure(2), 1-11. Search in Google Scholar

[10] Mccallum, J., Duffy, K., Hastie, E., Ness, V., & Price, L. (2013). Developing nursing students’ decision making skills: are early warning scoring systems helpful?. Nurse Education in Practice, 13(1), 1-3. Search in Google Scholar

[11] Sr., W. E. H. (2016). Can an early alert excessive absenteeism warning system be effective in retaining freshman students?. Journal of College Student Retention: Research, Theory & Practice. Search in Google Scholar

[12] Balfanz, R., & Byrnes, V. (2019). Early warning indicators and intervention systems: state of the field. Handbook of Student Engagement Interventions, 45-55. Search in Google Scholar

[13] Raffaghelli, J. E., Elena Rodriguez, M., Guerrero-Roldan, A. E., & Baneres, D. (2022). Applying the utaut model to explain the students’ acceptance of an early warning system in higher education. Computers & education(Jun.), 182. Search in Google Scholar

[14] Plak, S., Cornelisz, I., Meeter, M., & Klaveren, C. V. (2021). Early warning systems for more effective student counselling in higher education: evidence from a dutch field experiment. Higher Education Quarterly(7). Search in Google Scholar

[15] Li, X., & Zhou, T. (2021). Design of an online learning early warning system based on learning behaviour analysis. International journal of continuing engineering education and life-long learning(3), 31. Search in Google Scholar

[16] Banerjee, R., & Halder, S. (2023). Effect of parent and teacher relatedness support on academic motivation of middle school children. World Futures, 79(1), 113-138. Search in Google Scholar

[17] Carmeli, A., Peng, A. C., Schaubroeck, J. M., & Amir, I. (2021). Social support as a source of vitality among college students: the moderating role of social self‐efficacy. Psychology in the Schools, 58. Search in Google Scholar

[18] Yue, Z., Wang, Y., & Lyu, P. (2022). Incremental learning of phase transition in ising model: preprocessing, finite-size scaling and critical exponents. Physica A: Statistical Mechanics and its Applications, 600. Search in Google Scholar

[19] Abdussami, A. A., & Farooqui, M. F. (2022). Optimal feature selection with weight optimised deep neural network for incremental learning-based intrusion detection in fog environment. Journal of Information & Knowledge Management. Search in Google Scholar

[20] Liu, T., Wang, L., & Wang, S. (2019). Feature fusion use unsupervised prior knowledge to let small object represent. Search in Google Scholar

[21] Gao, Y., & Liu, J. G. (2022). A selection principle for weak kam solutions via freidlin-wentzell large deviation principle of invariant measures. arXiv e-prints. Search in Google Scholar

[22] Davies, S., Janus, M., Reid-Westoby, C., Duku, E., & Schlanger, P. (2022). Does the early development instrument predict academic achievement in ontario french schools?. Canadian journal of behavioural science. Search in Google Scholar

[23] Tam, H., Kwok, S. Y. C. L., Hui, A. N. N., Chan, D. K., Leung, C., & Leung, J., et al. (2021). The significance of emotional intelligence to students’ learning motivation and academic achievement: A study in Hong Kong with a Confucian heritage. Search in Google Scholar