تعداد نشریات | 31 |
تعداد شمارهها | 499 |
تعداد مقالات | 4,850 |
تعداد مشاهده مقاله | 7,491,434 |
تعداد دریافت فایل اصل مقاله | 5,593,187 |
Iranian EFL University Students’ Personality Traits and Their Online Learning Satisfaction | ||
Interdisciplinary Studies in English Language Teaching | ||
دوره 02، شماره 02 - شماره پیاپی 4، مهر 2024، صفحه 173-188 اصل مقاله (538.57 K) | ||
نوع مقاله: Original Article | ||
شناسه دیجیتال (DOI): 10.22080/iselt.2025.28377.1084 | ||
نویسندگان | ||
Nahid Janmohammadi* ؛ Gholamrez Zareian؛ Moslem Zolfagharkhani | ||
Department of English Language & Literature, Faculty of Literature & Humanities, Hakim Sabzevari University, Sabzevar, Iran | ||
تاریخ دریافت: 29 مهر 1403، تاریخ بازنگری: 28 آبان 1403، تاریخ پذیرش: 30 آبان 1403 | ||
چکیده | ||
Based on the existing literature in the field of online learning, it has been found that learners’ satisfaction is influenced by multiple factors such as course design, instructor interaction, and assessment fairness. All of these aspects play a crucial role in determining learners’ overall satisfaction with their educational experience. To thoroughly investigate the contentment of the students regarding online learning systems, it is essential to investigate another significant factor related to their personalities. Therefore, the present quantitative study attempts to investigate the relationships between the big five personality traits and online learning satisfaction of Iranian EFL university students. To fulfill this aim, an election survey including the NEO Five-Factor Inventory questionnaire and online learning satisfaction questionnaire were sent out to 150 Iranian EFL students participating in university online classes. The research findings revealed that openness to experience and extroversion, two of the big five personality traits, show a favorable correlation with online learning satisfaction in general. The study discovered that learners who had higher levels of satisfaction with online learning also had higher levels of openness, conscientiousness, extraversion, and agreeableness, but lower levels of neuroticism. This research has the potential to have a considerable effect on the current body of literature by establishing a connection between students’ personality traits and their satisfaction with online learning. Tailoring the class format to accommodate diverse personality types can significantly enhance the learning experience; therefore, it is essential to consider learners’ personality traits during the stages of class development, instruction, and learning. | ||
کلیدواژهها | ||
Online learning, Learning satisfaction؛ Big Five Theory؛ Personality traits؛ EFL learner | ||
مراجع | ||
Allen, I. E., & Seaman, J. (2017). Digital Compass Learning: Distance Education Enrollment Report 2017. https://files.eric.ed.gov/fulltext/ED580868
Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with web-based courses: An exploratory study of two on-line MBA programs. Management Learning, 33(3), 331-347. https://doi.org/10.1177/1350507602333003
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://doi.org/10.1007/s10639-022-11199-x
Biber, D., Conrad, S., & Reppen, R. (1994). Corpus-based approaches to issues in applied linguistics. Applied Linguistics, 15(2), 169-189. https://doi.org/10.1093/applin/15.2.169
Blau, I., & Barak, A. (2012). How do personality, synchronous media, and discussion topic affect participation. Journal of Educational Technology & Society, 15(2), 12-24.
Bolliger, D., & Erichsen, E. (2013). Student satisfaction with blended and online courses based on personality type/Niveau de satisfaction des étudiants dans les cours hybrides et en ligne basé sur le type de personnalité. Canadian Journal of Learning and Technology/La revue canadienne de l’apprentissage et de la technologie, 39(1). https://doi.org/10.21432/T2RK5K
Bolliger, D., & Martindale, T. (2004). Key factors for determining student satisfaction in online courses. 3, 61-67.
Bolliger, D. U., & Halupa, C. (2012). Student perceptions of satisfaction and anxiety in an online doctoral program. Distance Education, 33(1), 81-98. https://doi.org/10.1080/01587919.2012.667961
Bonebrake, K. (2002). College students’ Internet use, relationship formation, and personality correlates. CyberPsychology & Behavior, 5(6), 551-557. https://doi.org/10.1089/109493102321018150
Bouhnik, D., & Carmi, G. (2013). Thinking styles in virtual learning courses. Proceedings of the 2013 International Conference on Information Society (i-Society), Toronto.
Cheng, H. F., & Dörnyei, Z. (2007). The use of motivational strategies in language instruction: The case of EFL teaching in Taiwan. International Journal of Innovation in Language Learning and Teaching, 1(1), 153-174. https://doi.org/10.2167/illt048.0
Conrad, D. (2002). Community social presence and engagement in online learning. [University of Alberta, Department of Educational Policy Studies].
Deci, E. L., & Ryan, R. M. (2012). Self-determination theory. In P. A. M. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (Vol. 1, pp. 416-436). https://doi.org/10.4135/9781446249215
Demuyakor, J. (2020). Coronavirus (COVID-19) and online learning in higher institutions of education: A survey of the perceptions of Ghanaian international students in China. Online Journal of Communication and Media Technologies, 10, e202018. https://doi.org/10.29333/ojcmt/8286
Denphaisarn, N. (2014). A new framework for e-learning using learning style and personality. International Journal of Sciences: Basic and Applied Research (IJSBAR), 13(1), 145-159. https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/1739
Despotović-Zrakić, M., Markovic, A., Bogdanović, Z., Barać, D., & Krco, S. (2012). Providing Adaptivity in Moodle LMS Courses. Educational Technology and Society, 15.
Du, X., F, T., Ebead, U., Hasan, M., & Al-Ali, A. (2020). Engineering students’ readiness to transition to emergency online learning in response to COVID-19: case of Qatar. Eurasia Journal of Mathematics, Science and Technology Education, 16, em1886. https://doi.org/10.29333/ejmste/8474
Dziuban, C., Moskal, P., Thompson, J., Kramer, L., DeCantis, G., & Hermsdorfer, A. (2015). Student satisfaction with online learning: Is it a psychological contract? Journal of Asynchronous Learning Network, 19. https://doi.org/10.24059/olj.v19i2.496
El Bachari, E., Abelwahed, E. H., & El Adnani, M. (2012). An adaptive teaching strategy model in e-learning using learners’ preference: LearnFit framework. International Journal of Web Science, 1(3), 257-274. https://doi.org/10.1504/IJWS.2012.045815
Ezra, O., Cohen, A., Bronshtein, A., Gabbay, H., & Baruth, O. (2021). Equity factors during the COVID-19 pandemic: Difficulties in emergency remote teaching (ert) through online learning. Education and Information Technologies, 26(6), 7657-7681. https://doi.org/10.1007/s10639-021-10632-x
Fatahi, S., Kazemifard, M., & Ghasem-Aghaee, N. (2009). Design and implementation of an e-Learning model by considering learner’s personality and emotions. In S. I. Ao, A. M. Korsunsky, H. Ma, & X. Xu (Eds.), Advances in Electrical Engineering and Computational Science (pp. 423-434). Springer Netherlands.
Friedman, H. S., & Schustack, M. W. (2016). Psychology: An introduction. Pearson.
Fulford, C. P., & Zhang, S. (1993). Perceptions of interaction: The critical predictor in distance education. American Journal of Distance Education, 7(3), 8-21. https://doi.org/10.1080/08923649309526830
Gass, S., Mackey, A., & Ross-Feldman, L. (2005). Task-based interactions in classroom and laboratory settings. Language Learning, 55(4), 575-611. https://doi.org/10.1111/j.0023-8333.2005.00318.x
Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4(1), 26. https://doi.org/10.1037/1040-3590.4.1.26
Hermans, C. M., Haytko, D. L., & Mott-Stenerson, B. (2009). Student satisfaction in web-enhanced learning environments. Journal of Instructional Pedagogies, 1. http://files.eric.ed.gov/fulltext/EJ1056347.pdf
Irani, T., Telg, R., Scherler, C., & Harrington, M. (2003). Personality type and its relationship to distance education students’ course perceptions and performance. Quarterly Review of Distance Education, 4(4), 445-453.
Kedia, P., & Mishra, L. (2023). Exploring the factors influencing the effectiveness of online learning: A study on college students. Social Sciences & Humanities Open, 8(1), 100559. https://doi.org/10.1016/j.ssaho.2023.100559
Kuo, Y.-C., Walker, A. E., Belland, B. R., & Schroder, K. E. (2013). A predictive study of student satisfaction in online education programs. International Review of Research in Open and Distributed Learning, 14(1), 16-39. https://doi.org/https://doi.org/10.19173/irrodl.v14i1.1338
Lim, J., & Lee, M. (2020). Effects of online learners' presence perception on academic achievement and satisfaction mediated by self-efficacy for self-regulated learning and agentic engagement. The Korean Journal of Educational Methodology Studies, 32, 461-485. https://doi.org/10.17927/tkjems.2020.32.3.461
Lounsbury, J., Huffstetler, B., Leong, F., & Gibson, L. (1970). Sense of Identity and Collegiate Academic Achievement. Journal of College Student Development, 46, 501-514. https://doi.org/10.1353/csd.2005.0051
McCrae, R. R., & Costa, P. T. (1985). Updating Norman’s “adequacy taxonomy”: Intelligence and personality dimensions in natural language and in questionnaires. Journal of Personality and Social Psychology, 49(3), 710. https://doi.org/10.1037/0022-3514.49.3.710
Moller, L., & Soles, C. (2001). Myers Briggs type preferences in distance learning education. International Journal of Educational Technology, 2(2), 1-12. https://www.ascilite.org/archived-journals/ijet/v2n2/soles/
O’Donoghue, T., & Rabin, M. (2000). The economics of immediate gratification. Journal of Behavioral Decision Making, 13(2), 233-250. https://doi.org/10.1002/(SICI)1099-0771(200004/06)13:2<233::AID-BDM325>3.0.CO;2-U
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.1177/002224378001700405
Oliver, R. L., & Burke, R. R. (1999). Expectation processes in satisfaction formation: A field study. Journal of Service Research, 1(3), 196-214. https://doi.org/10.1177/109467059913002
Palloff, R. M., & Pratt, K. (2010). Collaborating online: Learning together in community (Vol. 32). John Wiley & Sons.
Papamitsiou, Z., & Economides, A. A. (2014). Learning analytics and educational data mining in practice: A systematic literature review of empirical evidence. Journal of Educational Technology & Society, 17(4), 49-64. http://www.jstor.org/stable/jeductechsoci.17.4.49
Parent-Lamarche, A., Marchand, A., & Saade, S. (2021). A multilevel analysis of the role personality play between work organization conditions and psychological distress. BMC Psychology, 9(1), 200. https://doi.org/10.1186/s40359-021-00703-6
Patitsa, C. D., Sahinidis, A. G., Tsaknis, P. A., & Giannakouli, V. (2021). Big Five personality traits and students’ satisfaction with synchronous online academic learning (SOAL). Corporate & Business Strategy Review, 2(2), 8-16. https://doi.org/10.22495/cbsrv2i2art1
Pitcher, B. D., Ravid, D. M., Mancarella, P. J., & Behrend, T. S. (2022). Social learning dynamics influence performance and career self-efficacy in career-oriented educational virtual environments. PLOS ONE, 17(9), e0273788. https://doi.org/10.1371/journal.pone.0273788
Rainer Jr, R. K., & Miller, M. D. (1996). An assessment of the psychometric properties of the computer attitude scale. Computers in Human Behavior, 12(1), 93-105. https://doi.org/https://doi.org/10.1016/0747-5632(95)00021-6
Rashidi, N., & Moghadam, M. (2014). The effect of teachers’ beliefs and sense of self-efficacy on Iranian EFL learners’ satisfaction and academic achievement. TESL-EJ, 18(2). http://files.eric.ed.gov/fulltext/EJ1045203.pdf
Sahinidis, A. G., & Tsaknis, P. A. (2021). Exploring the relationship of the Big Five personality traits with student satisfaction with synchronous online academic learning: The case of COVID-19-induced changes. In A. Kavoura, A. G. Sahinidis, & E. Christou (Eds.), Strategic Innovative Marketing and Tourism in the COVID-19 Era: 9th ICSIMAT Conference 2020 (pp. 87-94). Springer International Publishing. https://doi.org/10.1007/978-3-030-66154-0_10
Tian, Y., Zhao, Y., Lv, F., Qin, N., & Chen, P. (2021). Associations among the big five personality traits, maladaptive cognitions, and internet addiction across three time measurements in 3 months during the COVID-19 pandemic. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.654825
Tlili, A., Huang, R., Chang, T.-W., Nascimbeni, F., & Burgos, D. (2019). Open educational resources and practices in China: A systematic literature review. Sustainability, 11(18).
Tsai, W. (2001). Knowledge transfer in intraorganizational networks: Effects of network position and absorptive capacity on business unit innovation and performance. Academy of Management Journal, 44(5), 996-1004. https://doi.org/10.2307/3069443
Vasileva-Stojanovska, T., Malinovski, T., Vasileva, M., Jovevski, D., & Trajkovik, V. (2015). Impact of satisfaction, personality and learning style on educational outcomes in a blended learning environment. Learning and Individual Differences, 38, 127-135. https://doi.org/10.1016/j.lindif.2015.01.018
Wicklein, R. C., & Rojewski, J. W. (1995). The relationship between psychological type and professional orientation among technology education teachers. Journal of Technology Studies, 21(1). http://files.eric.ed.gov/fulltext/EJ513067.pdf
Yukselturk, E., & Yildirim, Z. (2008). Investigation of interaction, online support, course structure and flexibility as the contributing factors to students’ satisfaction in an online certificate program. Journal of Educational Technology & Society, 11(4), 51-65.
Zhao, H., & Seibert, S. E. (2006). The big five personality dimensions and entrepreneurial status: A meta-analytical review. Journal of Applied Psychology, 91(2), 259. https://doi.org/10.1037/0021-9010.91.2.259
Zolotov, Y., Reznik, A., Bender, S., & Isralowitz, R. (2022). COVID-19 fear, mental health, and substance use among Israeli university students. International Journal of Mental Health and Addiction, 20(1), 230-236. https://doi.org/10.1007/s11469-020-00351-8 | ||
آمار تعداد مشاهده مقاله: 81 تعداد دریافت فایل اصل مقاله: 55 |