Acceso abierto

Convergence of Artificial Intelligence Algorithms and Education Fuels Educational Reform in Higher Education Programs

   | 30 may 2024

Cite

Xia, Q., Chiu, T. K. F., Lee, M., Sanusi, I. T., Dai, Y., & Chai, C. S. (2022). A self-determination theory (sdt) design approach for inclusive and diverse artificial intelligence (ai) education. Computers & education. Search in Google Scholar

Riekki, J., & Mammela, A. (2021). Research and education towards smart and sustainable world. IEEE Access. Search in Google Scholar

Jiang, Y., & Li, B. (2021). Exploration on the teaching reform measure for machine learning course system of artificial intelligence specialty. Scientific Programming. Search in Google Scholar

Li, M., & Su, Y. (2020). Evaluation of online teaching quality of basic education based on artificial intelligence. International Journal of Emerging Technologies in Learning (iJET), 15(16), 147. Search in Google Scholar

Gao, Z., Wanyama, T., & Singh, I. (2020). Project and practice centered learning: a systematic methodology and strategy to cultivate future full stack artificial intelligence engineers. The international journal of engineering education(6), 36. Search in Google Scholar

Lechuga, C. G., & Shayan, D. (2023). Three algorithms for grouping students: a bridge between personalized tutoring system data and classroom pedagogy. International Journal of Artificial Intelligence in Education(4), 33. Search in Google Scholar

Xiao, S., Shanthini, A., & Thilak, D. (2021). Instructor performance prediction model using artificial intelligence for higher education systems. Journal of Interconnection Networks. Search in Google Scholar

Carneiro, P., Liu, K., & Salvanes, K. G. (2023). The supply of skill and endogenous technical change: evidence from a college expansion reform. Journal of the European Economic Association. Search in Google Scholar

Bosman, L., Madamanchi, A., Bartholomew, S., & Byrd, V. (2022). Repeated use of adaptive comparative judgment to develop student understanding of artificial intelligence in problem based learning assignments. The international journal of engineering education. Search in Google Scholar

Claudine, Muraraneza, Ntombifikile, Gloria, Mtshali, & Donatilla, et al. (2017). Issues and challenges of curriculum reform to competency-based curricula in africa: a meta-synthesis. Nursing & Health Sciences. Search in Google Scholar

Li, Q. (2021). The use of artificial intelligence combined with cloud computing in the design of education information management platform. International Journal of Emerging Technologies in Learning (iJET)(05). Search in Google Scholar

Hodgson, D., Goldingay, S., Boddy, J., Nipperess, S., & Watts, L. (2021). Problematising artificial intelligence in social work education: challenges, issues and possibilities. British Journal of Social Work(1). Search in Google Scholar

Paek, S., & Kim, N. (2021). Analysis of worldwide research trends on the impact of artificial intelligence in education. Sustainability, 13. Search in Google Scholar

Wu, J. S., Chien, T. H., Chien, L. R., & Yang, C. Y. (2021). Using artificial intelligence to predict class loyalty and plagiarism in students in an online blended programming course during the covid-19 pandemic. Electronics. Search in Google Scholar

Costa, R. D. D., Souza, G. F. D., Castro, T. B. D., Valentim, R. A. D. M., & Dias, A. D. P. (2020). Identification of learning styles in distance education through the interaction of the student with a learning management system. Revista Iberoamericana de Tecnologias del Aprendizaje, PP(99), 1–1. Search in Google Scholar

Bauer, E., Greisel, M., Kuznetsov, I., Berndt, M., Kollar, I., & Dresel, M., et al. (2023). Using natural language processing to support peer‐feedback in the age of artificial intelligence: a cross‐disciplinary framework and a research agenda. British Journal of Educational Technology. Search in Google Scholar

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: a review. IEEE Access, 8, 75264–75278. Search in Google Scholar

Park, Y., & Shin, Y. (2021). Tooee: a novel scratch extension for k-12 big data and artificial intelligence education using text-based visual blocks. IEEE Access. Search in Google Scholar

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

Miyamoto, Y. (2017). On the significance of humboldt’s bildung theory for current curriculum reform— from the series of studies based on humboldt’s bildung theory by d. benner—. Journal of Educational Research, 21. Search in Google Scholar

Fu, G., & Clarke, A. (2019). Individual and collective agencies in china’s curriculum reform: a case of physics teachers. Journal of research in science teaching, 56(1), 45–63. Search in Google Scholar

Lambert, K., Alfrey, L., O’Connor, J., & Penney, D. (2021). Artefacts and influence in curriculum policy enactment: processes, products and policy work in curriculum reform:. European Physical Education Review, 27(2), 258–277. 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