Acceso abierto

Research on personalized recommendation method of preschool e-learning resources

   | 11 ago 2023

Cite

Tekakpnar, E., & Tezer, M. (2019). Effectiveness of a School-Based Outdoor Education Curriculum and Online Learning Environment among Prospective Teachers. Sustainability, 12. Search in Google Scholar

Kao, C. P., & Mou, T. Y. (2020). Online academic learning beliefs and strategies: a comparison of pre-service and in-service early childhood teachers. Online Information Review, ahead-of-print(ahead-of-print). Search in Google Scholar

Oi, A., Aa, B., Za, C., et al. (2019). Online learning usage within Yemeni higher education: The role of compatibility and task-technology fit as mediating variables in the IS success model. Computers & Education, 136, 113-129. Search in Google Scholar

Connan, V., Marcon, M. A., Mahmud, F. H., et al. (2019). Online education for gluten-free diet teaching: Development and usability testing of an e-learning module for children with concurrent celiac disease and type 1 diabetes. Pediatric Diabetes. Search in Google Scholar

SarahGerritsen, Sarah, E. Anderson, et al. (2018). Pre-school nutrition-related behaviours at home and early childhood education services: findings from the Growing Up in New Zealand longitudinal study. Public Health Nutrition. Search in Google Scholar

Kalman, R., Esparza, M. M., & Weston, C. (2020). Student Views of the Online Learning Process during the COVID-19 Pandemic: A Comparison of Upper-Level and Entry-Level Undergraduate Perspectives. Journal of Chemical Education, 97(9). Search in Google Scholar

Jiang, W. U. (2008). Search Engine Keyword and Catalogue Search System Combining to Improve the Search Efficiency. Library Tribune. Search in Google Scholar

Gunes, I., & Polat, H. (2019). Recommendation Algorithm. Search in Google Scholar

Xue, D. (2020). Research on the Book Intelligent Recommendation System Based on Data Mining. Information Studies: Theory & Application. Search in Google Scholar

Xin, Y., Wang, Z., & Guo, W. (2018). E-commerce Personalized Recommendation Technology Based on Expert System. Bulletin of Science and Technology. Search in Google Scholar

Chen, L., Qia, et al. (2019). Design and Application of Personalized Recommendation System Based on User Behavior. Search in Google Scholar

Zhang, H., & Fang, J. (2019). Design and Innovation of Netflix’s User Reviews and Recommendation System. Advanced Motion Picture Technology. Search in Google Scholar

Kaufman, J. C. (2018). A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features. Search in Google Scholar

Gong, M., Zuo, et al. (2019). Personalized Recommendation Based on Evolutionary Multi-Objective Optimization. IEEE Computational Intelligence Magazine, 10(1), 52-62. Search in Google Scholar

Dange, S., & Lomte, V. M. (2020). Review of Personalized Recommendation System with User Interest in Social Network. IJSR - International Journal of Scientific Research (IJSR). Search in Google Scholar

Huang, X., Hou, H., & Sun, M. (2022). A novel temporal recommendation method based on user query topic evolution. Knowledge-Based Systems, Apr.6, 241. Search in Google Scholar

Liu, X. (2018). Application of Collaborative Filtering Technology in Book Recommendation System. China Educational Technology & Equipment. Search in Google Scholar

Pan, H., Lin, H., & Jing, Z. (2019). Collaborative Filtering Algorithm Based on Matrix Partition and Interest Variance. Journal of the China Society for Scientific and Technical Information. Search in Google Scholar

Paul, S. (2019). Model Learner Outcomes for Language Arts Education. Minnesota Department of Education, Curriculum Services Center. Search in Google Scholar

eISSN:
2444-8656
Idioma:
Inglés
Calendario de la edición:
Volume Open
Temas de la revista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics