Accès libre

Research on the Design of Intelligent Recommendation System for Civic and Political Education Content and the Effectiveness Assessment of Students’ Acceptance

 et   
11 nov. 2024
À propos de cet article

Citez
Télécharger la couverture

Bruya, B., & Ardelt, M. (2018). Fostering wisdom in the classroom, part 1: A general theory of wisdom pedagogy. Teaching Philosophy, 41(3), 239-253. Search in Google Scholar

Wang, C., Liang, W., & Wu, S. (2023). Thinking for Soul, Reforming to Empower, and Cooperating to Strengthen Foundation: Responding to Implementation of Educational Reform of Civics and Political Science with Fuzzy Theory Algorithm. EAI Endorsed Transactions on Scalable Information Systems, 10(6). Search in Google Scholar

Mackey, J. Z. (2017). Forsaking neutrality in political science: Making the case to intellectually assassinate. Curriculum and Teaching Dialogue, 19(1/2), 35-170. Search in Google Scholar

Stenberg, K., & Maaranen, K. (2022). Promoting practical wisdom in teacher education: a qualitative descriptive study. European Journal of Teacher Education, 45(5), 617-633. Search in Google Scholar

Biseth, H., Hoskins, B., & Huang, L. (2021). Civic and citizenship education: from big data to transformative education. Northern lights on civic and citizenship education, 12, 147. Search in Google Scholar

Lander, L. (2017). Education for sustainability: a wisdom model. Handbook of Theory and Practice of Sustainable Development in Higher Education: Volume 3, 47-58. Search in Google Scholar

Lo, J. C., Hodgin, E. R., & Garcia, A. (2022). Blended spaces: Reimagining civic education in a digital era. Democracy and Education, 30(2), 4. Search in Google Scholar

Yoshida, M., & Thammetar, T. (2021). Education between govtech and civic tech. International Journal of Emerging Technologies in Learning (iJET), 16(4), 52-68. Search in Google Scholar

Alrakhman, R., & Budimansyah, D. (2023). The effect of digital citizenship on the quality learning civic education. In Proceeding of the International Conference on Innovation in Open and Distance Learning (Vol. 4, pp. 623-640). Search in Google Scholar

Miller, K. M., Polman, J. L., Yoon, S. A., Shim, J., Leung, V. Y., Nguyen, Y., ... & Louie, J. (2024). Data and Social Worlds: How Data Science Education Supports Civic Participation and Social Discourse. In Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024, pp. 1863-1870. International Society of the Learning Sciences. Search in Google Scholar

Kerres, M., & Buntins, K. (2020). Recommender in AI-enhanced learning: An assessment from the perspective of instructional design. Open Education Studies, 2(1), 101-111. Search in Google Scholar

Wang, Z. (2023). Intelligent recommendation of open educational resources: Building a recommendation model based on deep neural networks. International Journal of Advanced Computer Science and Applications, 14(6). Search in Google Scholar

Li, H., Li, H., Zhang, S., Zhong, Z., & Cheng, J. (2019). Intelligent learning system based on personalized recommendation technology. Neural Computing and Applications, 31, 4455-4462. Search in Google Scholar

Aguilar, J., Valdiviezo-Díaz, P., & Riofrio, G. (2017). A general framework for intelligent recommender systems. Applied computing and informatics, 13(2), 147-160. Search in Google Scholar

Duque Méndez, N. D., Rodríguez Marín, P. A., & Ovalle Carranza, D. A. (2018). Intelligent personal assistant for educational material recommendation based on CBR. Personal Assistants: Emerging Computational Technologies, 113-131. Search in Google Scholar

Duan, R. (2024). A Technology-Enabled Concept of Open Educational Resources Development in Primary and Secondary Schools:--Intelligent Aggregation and Personalized Recommendation of Educational Resources. Journal of Education and Educational Research, 7(3), 253-257. Search in Google Scholar

Li, S., & Yang, B. (2023). Personalized education resource recommendation method based on deep learning in intelligent educational robot environments. International Journal of Information Technologies and Systems Approach (IJITSA), 16(3), 1-15. Search in Google Scholar

Urdaneta-Ponte, M. C., Mendez-Zorrilla, A., & Oleagordia-Ruiz, I. (2021). Recommendation systems for education: Systematic review. Electronics, 10(14), 1611. Search in Google Scholar

Bel Hadj Ammar, W., Chaabouni, M., & Ben Ghezala, H. (2020). Recommender system for quality educational resources. In Intelligent Tutoring Systems: 16th International Conference, ITS 2020, Athens, Greece, June 8–12, 2020, Proceedings 16 (pp. 327-334). Springer International Publishing. Search in Google Scholar

Herath, D., & Jayarathne, L. (2018). Intelligent recommendations for e-learning personalization based on learner’s learning activities and performances. International Journal of Computer Science and Software Engineering, 7(6), 130-137. Search in Google Scholar

Dwivedi, S., & Roshni, V. K. (2017, August). Recommender system for big data in education. In 2017 5th National Conference on E-Learning & E-Learning Technologies (ELELTECH) (pp. 1-4). IEEE. Search in Google Scholar

Salazar, C., Aguilar, J., Monsalve-Pulido, J., & Montoya, E. (2021). Affective recommender systems in the educational field. A systematic literature review. Computer Science Review, 40, 100377. Search in Google Scholar

Aremu Idris, A., Akinrinlola Akinfola, I., & Yekini Adewale, W. (2023). Artificial intelligent based adaptive recommender system. Trans Eng Comput Sci, 4(1), 128. Search in Google Scholar

Cui, L. Z., Guo, F. L., & Liang, Y. J. (2018, October). Research overview of educational recommender systems. In Proceedings of the 2nd International Conference on Computer Science and Application Engineering (pp. 1-7). Search in Google Scholar

Ke Yan. (2024). Optimizing an English text reading recommendation model by integrating collaborative filtering algorithm and FastText classification method. Heliyon(9),e30413-. Search in Google Scholar

Shu Jiangbo,Shen Xiaoxuan,Liu Hai,Yi Baolin & Zhang Zhaoli. (2018). A content-based recommendation algorithm for learning resources. Multimedia Systems(2),163-173. Search in Google Scholar

Xin Zheng,Jun Li & Qingrong Wu. (2020). A Light Recommendation Algorithm of We-Media Articles Based on Content. International Journal of Digital Crime and Forensics (IJDCF)(4),68-81. Search in Google Scholar