Exploring the Relationship Between Personality Traits and Online Experiences of Graduate School Students at Wenzhou University
DOI:
https://doi.org/10.55927/eajmr.v4i6.203Keywords:
Personality traits, Online Learning, Graduate studentsAbstract
This study explored the correlation between personality traits and online learning experiences among graduate students at Wenzhou University. Using a descriptive-correlational design, it analyzed responses from 30 graduate students selected through convenience sampling. The Big Five Personality Traits model and an online learning experience questionnaire were employed. Results revealed that conscientiousness was the most dominant trait, and students had generally positive online learning experiences. A significant positive correlation was found between conscientiousness and online learning satisfaction. These findings suggest that personality influences how students engage with and perceive online education. The study recommends tailoring online learning strategies to accommodate individual personality traits to enhance academic performance and student satisfaction in virtual learning environments.
References
Aditya, D. S. (2021). Embarking Digital Learning Due to COVID-19: Are Teachers Ready? Journal of Technology and Science Education, 11(1), 104-116. V https://eric.ed.gov/?id=EJ1303147
Baig, D. (2023). Navigating student views on online education: Balancing preferences, challenges, and opportunities. Education Mind, 2(2), 75-84. https://doi.org/10.58583/Pedapub.EM2307
Baruth, O., & Cohen, A. (2023). Personality and satisfaction with online courses: The relation between the Big Five personality traits and satisfaction with online learning activities. Education and Information Technologies, 28(1), 879-904. https://link.springer.com/article/10.1007/s10639-022-11199-x
Cheng, S. L., Chang, J. C., Quilantan‐Garza, K., & Gutierrez, M. L. (2023). Conscientiousness, prior experience, achievement emotions and academic procrastination in online learning environments. British Journal of Educational Technology, 54(4), 898-923. https://doi.org/10.1111/bjet.13302
Ryan, R. M., & Deci, E. L. (2024). Self-determination theory. In Encyclopedia of quality of life and well-being research (pp. 6229-6235). Cham: Springer International Publishing.
Feher, A., & Vernon, P. A. (2021). Looking beyond the Big Five: A selective review of alternatives to the Big Five model of personality. Personality and Individual Differences, 169, 110002. https://doi.org/10.1016/j.paid.2020.110002
Garrison, D. R. (2022). Shared metacognition in a community of inquiry. Online learning, 26(1), 6-18. https://eric.ed.gov/?id=EJ1340664
Gatzka, T. (2021). Aspects of openness as predictors of academic achievement. Personality and Individual Differences, 170, 110422. https://doi.org/10.1016/j.paid.2020.110422
Hasan, N., & Bao, Y. (2022). Impact of “e-Learning crack-up” perception on psychological distress among college students during COVID-19 pandemic. Children and Youth Services Review, 118, 105355. https://doi.org/10.1016/j.childyouth.2020.105355
Levin, S. M. (2022). Personality-oriented learning with the use of electronic technologies based on the analysis of LMS data. In Современное образование: интеграция образования, науки, бизнеса и власти (pp. 21-28). https://nmk.tusur.ru/storage/150712/conference-2022_1.pdf#page=21
O'Connor (2002). A quantitative review of the comprehensiveness of the five-factor model in relation to popular personality inventories. Assessment, 9, 188–203. http://dx.doi.org/10.1177/10791102009002010
Orona, G. A., & Pritchard, D. (2022). Inculcating curiosity: Pilot results of an online module to enhance undergraduate intellectual virtue. Assessment & Evaluation in Higher Education, 47(3), 375-389. https://doi.org/10.1080/02602938.2021.1919988
Özkarar-Gradwohl, F. G., & Turnbull, O. H. (2021). Gender effects in personality: A cross-cultural affective neuroscience perspective. Culture and Brain, 9(2), 79-96. https://link.springer.com/article/10.1007/s40167-021-00099-5
Sharma, M. K., Anand, N., Roopesh, B. N., & Sunil, S. (2022). Digital resilience mediates healthy use of technology. Medico-Legal Journal, 90(4), 195-199. https://doi.org/10.1177/00258172211018337
Si, W. (2022). Higher education expansion and gender norms: evidence from China. Journal of Population Economics, 35(4), 1821-1858. https://link.springer.com/article/10.1007/s00148-022-00888-z
Sun, H., Yuan, C., Qian, Q., He, S., & Luo, Q. (2022). Digital resilience among individuals in school education settings: a concept analysis based on a scoping review. Frontiers in psychiatry, 13, 858515. https://doi.org/10.3389/fpsyt.2022.858515
Tetzner, J., Becker, M., & Bihler, L. M. (2023). Personality development in adolescence: Examining big five trait trajectories in differential learning environments. European Journal of Personality, 37(6), 744-764. https://doi.org/10.1177/08902070221121178
Ting, L. P. Y., Teng, S. Y., Chuang, K. T., & Lim, E. P. (2020, November). Learning personal conscientiousness from footprints in e-learning systems. In 2020 IEEE International Conference on Data Mining (ICDM) (pp. 1292-1297). IEEE. https://ieeexplore.ieee.org/abstract/document/9338404
Yu, Z. (2021). The effects of gender, educational level, and personality on online learning outcomes during the COVID-19 pandemic. International Journal of Educational Technology in Higher Education, 18(1), 14. https://link.springer.com/article/10.1186/s41239-021-00252-3
Zell, E., & Lesick, T. L. (2022). Big five personality traits and performance: A quantitative synthesis of 50+ meta‐analyses. Journal of personality, 90(4), 559-573. https://doi.org/10.1111/jopy.12683
Zhang, B., Li, Y. M., Li, J., Luo, J., Ye, Y., Yin, L., ... & John, O. P. (2021). The big five inventory–2 in China: A comprehensive psychometric evaluation in four diverse samples. Assessment, 29(6), 1262-1284. https://doi.org/10.1177/10731911211008245
Zhang, Y., & Wang, H. (2023). Effect of English learning motivation on academic performance among English majors in China: The moderating role of certain personality traits. Psychology Research and Behavior Management, 2187-2199. https://doi.org/10.2147/PRBM.S407486
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