Assessing Personality Factors for Recommendation Systems of Learning Method

Author:

Hagiri MadokaORCID,Yamamoto ShojiORCID,Ohta AoiORCID,Takama YasufumiORCID

Publisher

Springer Nature Singapore

Reference10 articles.

1. Nakayama, K., Shimada, A., Minematsu, T., Yamada, M., Taniguchi, R.: Recommendation of personalized learning materials based on learning history and campus life sensing, companion. In: Proceedings 10th International Conference on Learning Analytics & Knowledge, pp. 649–654 (2020)

2. Kurihara, R.: Relationship between knowledge of Nominators and learning effect of nominee (in Japanese). In: Proceedings of the 74th National Convention of IPSJ, vol. 2012, no. 1, pp. 963–964 (2012)

3. Tomas, C.P., Adrian, F.: Personality predicts academic performance: evidence from two longitudinal university samples. J. Res. Pers. 37(4), 319–338 (2003). https://doi.org/10.1016/S0092-6566(02)00578-0

4. Su, J.-H., Liao, Y.-W., Xu, J.-Z., Zhao, Y.-W.: A personality-driven recommender system for cross-domain learning based on Holland code assessments. Sustainability 13(7), 3936 (2021). https://doi.org/10.3390/su13073936

5. Abd El Aziz, A.S., Taha, E.E.S., Ramadan, F.H., Badr, O.E.: Self-directed learning readiness level and personality traits among nursing students. Alexandria Sci. Nurs. J. 24(3), 40–50 (2022). https://doi.org/10.21608/ASALEXU.2022.267754

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