Towards an Adaptive Gamification Recommendation Approach for Interactive Learning Environments
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57840-3_31
Reference12 articles.
1. Koivisto, J., Hamari, J.: The rise of motivational information systems: a review of gamification research. Int. J. Inf. Manag. 45, 191–210 (2019)
2. Bennani, S., Maalel, A., Ben Ghezala, H.: Adaptive gamification in E-learning: a literature review and future challenges. Comput. Appl. Eng. Educ. 30(2), 628–642 (2022)
3. Gligorea, I., Cioca, M., Oancea, R., Gorski, A.T., Gorski, H., Tudorache, P.: Adaptive learning using artificial intelligence in e-learning: a literature review. Educ. Sci. 13(12), 1216 (2023)
4. Suresh Babu, S., Dhakshina Moorthy, A.: Application of artificial intelligence in adaptation of gamification in education: a literature review. Comput. Appl. Eng. Educ. e22683 (2023)
5. Ekstrand, M.D., Carterette, B., Diaz, F.: Distributionally-informed recommender system evaluation. ACM Trans. Recommender Syst. (2023)
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