Design and development of personalized education information management system based on artificial intelligence

[1] Kriegbaum, K., Steinmayr, R., & Spinath, B. (2019). Longitudinal reciprocal effects between teachers’ judgments of students’ aptitude, students’ motivation and grades in math. Contemporary Educational Psychology, 59, 101807. Search in Google Scholar

[2] Zhan, S. (2017). The reconstruction strategy “internet+” from the perspective of education. International Journal of Technology, Management. Search in Google Scholar

[3] Vinovskis, C., & Lee, L. (2018). The role of instructor accent on student learning & instructor evaluation in a digital learning environment. The FASEB Journal, 32(S1), 21.3-21.3. Search in Google Scholar

[4] Ellis, R. A., & Bliuc, A. M. (2017). Exploring new elements of the student approaches to learning framework – the role of online learning technologies in student learning. Active Learning in Higher Education, 146978741772138. Search in Google Scholar

[5] Hortsch, M., & Rodenbarger, L. (2019). When students choose e‐learning resources—the importance of ease and convenience. The FASEB Journal, 33(S1). Search in Google Scholar

[6] Wang, J., & Zhao, B. (2020). Intelligent system for interactive online education based on cloud big data analytics. Journal of Intelligent and Fuzzy Systems, 40(1), 1-11. Search in Google Scholar

[7] Kamber, D. N. (2021). Personalized distance-learning experience through virtual oral examinations in an undergraduate biochemistry course. Journal of Chemical Education, 98(2), 395-399. Search in Google Scholar

[8] Maghsudi, S., Lan, A., Xu, J., & Mihaela, V. (2021). Personalized education in the artificial intelligence era: what to expect next. IEEE Signal Processing Magazine (3), 38. Search in Google Scholar

[9] Liu, D. (2019). Construction of teaching system of art major in higher vocational colleges based on html intelligent teaching model. Basic & clinical pharmacology & toxicology. (S9), 125. Search in Google Scholar

[10] Min, Y., Tu, W., Qiang, Q., Zhou, Z., & Jia, Z. (2018). Personalized response generation by dual-learning based domain adaptation. Neural Networks, 103. Search in Google Scholar

[11] Koh, Y. H. (2021). Combining adapted physical education with individualized education programs: building korean pre-service teachers’ self-efficacy for inclusive physical education. Sustainability, 13(5), 2879. Search in Google Scholar

[12] Kim, W. H., & Kim, J. H. (2020). Individualized ai tutor based on developmental learning networks. IEEE Access, 8, 1-1. Search in Google Scholar

[13] Zhang, Z., & Min, H. (2020). Analysis on the construction of personalized physical education teaching system based on a cloud computing platform. Wireless Communications and Mobile Computing. Search in Google Scholar

[14] Lin, C. C., Liu, Z. C., Chang, C. L., & Lin, Y. W. (2018). A genetic algorithm-based personalized remedial learning system for learning object-oriented concepts of java. IEEE Transactions on Education, 1-9. Search in Google Scholar

[15] Yang, X., Zhou, Z., & Xiao, Y. (2021). Research on students’ adaptive learning system based on deep learning model. Scientific programming (Pt.13), 2021. Search in Google Scholar

[16] Tavakoli, M., Faraji, A., Vrolijk, J., Molavi, M., Mol, S. T., & G Kismihók. (2022). An ai-based open recommender system for personalized labor market driven education. Advanced Engineering Informatics, 52, 101508-. Search in Google Scholar

[17] Tang, Y., Liang, J., Hare, R., & Wang, F. Y. (2020). A personalized learning system for parallel intelligent education. IEEE Transactions on Computational Social Systems, 7(2), 352-361. Search in Google Scholar

[18] Yu, H., Wang, J., Crespo, R. G., & O Sanjuán. (2020). Artificial intelligence based quality management and detection system for personalized learning. INTELIGENCIA ARTIFICIAL, IP (IP), 1-20. Search in Google Scholar

[19] Zupanc, K., & Bosnic, Z. (2017). Automated essay evaluation with semantic analysis. Knowledge-Based Systems, 120(Mar.15), 118-132. Search in Google Scholar

[20] Liji, U., Chai, Y., & Chen, J. (2017). Improved personalized recommendation based on user attributes clustering and score matrix filling. Computer Standards & Interfaces, 57, 59-67. Search in Google Scholar

[21] Sarker, I. H., & Apu, K. (2014). Mvc architecture driven design and implementation of java framework for developing desktop application. International Journal of Hybrid Information Technology, 7(5), 317-322. Search in Google Scholar