EĞİTİM FAKÜLTESİ ÖĞRENCİLERİNİN E-ÖĞRENME HAZIRBULUNUŞLUK DÜZEYLERİ İLE KİŞİLİK ÖZELLİKLERİ ARASINDAKİ İLİŞKİNİN İNCELENMESİ

Yıl 2023, Cilt: - Sayı: 67, 71 - 102, 30.07.2023

Neşe Sevim Osman Erol

https://doi.org/10.21764/maeuefd.1269031

Öz

Bu araştırmanın amacı öğretmen adaylarının e-öğrenmeye hazırbulunuşluk seviyeleri ile kişilik özellikleri arasındaki ilişkiyi incelemektir. Çalışmaya Burdur Mehmet Akif Ersoy Üniversitesi Eğitim Fakültesi eğitim gören 459 öğretmen adayı katılmıştır. Veri toplama aracı olarak “Üniversite Öğrencilerinin E-öğrenmeye Hazırbulunuşluğu” ölçeği” ve “Beş faktör kişilik” ölçeği kullanılmıştır. Çalışma sonunda öğretmen adaylarının e-öğrenmeye hazırbulunuşluk düzeylerinin “orta” düzey olduğu, erkek katılımcıların e-öğrenme hazırbulunuşluk düzeylerinin daha yüksek olduğu, bilgisayar kullanma becerisi ve internet kullanma becerileri arttıkça e-öğrenme hazırbulunuşluk düzeyinin arttığı bulunmuştur. Ayrıca öğretmen adaylarının e-öğrenme hazırbulunuşlukları ile kişilik özellikleri arasında pozitif yönde düşük ve orta düzeyde ilişki olduğu sonucuna da ulaşılmıştır. Buna göre e-öğrenme süreçleri oluşturulurken öğrenenlerin kişilik özellikleri başta olmak üzere teknoloji becerilerinin de dikkate alınması gerektiği söylenebilir.

Anahtar Kelimeler

e-öğrenme, hazırbulunuşluk, kişilik, öğretmen adayları

EXAMINATION OF THE RELATIONSHIP BETWEEN EDUCATION FACULTY STUDENTS' E-LEARNING READY LEVELS AND PERSONALITY TRAITS

Öz

This study aims to examine the relationship between the levels of e-learning readiness of teacher candidates and their personality traits. 459 teacher candidates studying at the Faculty of Education at Burdur Mehmet Akif Ersoy University participated in the study. “University Students' Readiness for E-learning scale” and “Five-factor personality scale” were used as data collection tools. At the end of the study, it was found that the e-learning readiness level of the pre-service teachers was "moderate", the e-learning readiness level of the male participants was higher, and the e-learning readiness level increased as the computer and internet usage skills increased. Accordingly, it can be said that technology skills, especially the personality traits of learners, should be taken into account while creating e-learning processes.

Kaynakça

• Abe, J.A.A. (2005). The predictive validity of the Five-Factor Model of personality with preschool age children: a nine year follow-up study. Journal of Research in Personality, 39(4), 423-442, doi: 10.1016/j.jrp.2004.05.002.
• Abe, J.A.A. (2020). Big five, linguistic styles, and successful online learning. Internet and Higher Education, 45, doi: 10.1016/j.iheduc.2019.100724.
• Akyüz, H. İ., & Numanoğlu, G. (2020). Üniversite öğrencilerinin e-öğrenme ortamlarına ilişkin hazırbulunuşluk ve beklentileri (Kastamonu üniversitesi örneği). Online Journal of Mathematics, Science and Technology Education (OJOMSTE), 1(1), 1-16.
• Alem, F., Plaisent, M., Zuccaro, C., & Bernard, P. (2016). Measuring e-Learning readiness concept: Scale development and validation using structural equation modeling. International Journal of eEducation, e-Business, e-Management and e-Learning, 6(4), 193
• Al-Fraihat, D., Joy, M., & Sinclair, J. (2017, June). Identifying success factors for e-learning in higher education. In International conference on e-learning (pp. 247-255). Academic Conferences International Limited.
• Allport, G.W. (1937), Personality: A Psychological Interpretation, Holt, New York. Amichai-Hamburger, Y., & Hayat, Z. (2005). Personality and the Internet. The social net: Human behavior in cyberspace, 27-55.
• Anderson, T. (2008). Towards a theory of online learning. In T. Anderson & F. Elloumi (Eds.) Theory and Practice of Online Learning, (pp. 45-74). Retrieved from http://www.aupress.ca/books/120146/ebook/02_Anderson_2008_Anderson-Online_Learning.pdf
• Arthur, W., & Graziano, W. G. (1996). The five-factor model, conscientiousness, and driving accident involvement. Journal of Personality, 64, 593-618.
• Atkinson, R. L., Atkinson, R. C., Smith, E. E., Bem, D. J., & Hoeksema, S. (1999). Psikolojiye giriş. (A. Yavuz, Çev.).Arkadaş Yayınları.
• Augustine, A. A., & Larson, R. J. (2012). Is a trait really the mean of states? similarities and differences between traditonal and aggregate assessments of personality. Journal of Individual Differences, 33(3), 131-137
• Bahçekapılı, E., & Karaman, S. (2015). Uzaktan eğitimde kişilik özellikleri ve akademik başarı: Bir literatür incelemesi. Journal of Instructional Technologies and Teacher Education, 4(3).
• Bartolic-Zlomislic, S. ve Bates, A. (1999). Investing in On-line Learning: Potential Benefits and Limitations. Canadian Journal Of Communication, 24(3).
• Bernard, L.C. (2010). Motivation and personality: relationships between putative motive dimensions and the five factor model of personality. Psychological Reports, 106(2), 613-631, doi: 10.2466/PR0.106.2.613-631
• Besser, A., Flett, G. L., & Zeigler-Hill, V. (2022). Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology, 8(2), 85. doi: 10.1037/stl0000198.
• Bhagat, K. K., Wu, L. Y., & Chang, C. Y. (2019). The impact of personality on students' perceptions towards online learning. Australasian Journal of Educational Technology, 35(4).
• Bidjerano, T., & Dai, D. Y. (2007). The relationship between the big-five model of personality and self-regulated learning strategies. Learning and individual differences, 17(1), 69-81. doi: 10.1016/j.lindif.2007.02.001.
• Blau, I., & Barak, A. (2012). How do personality, synchronous media, and discussion topic affect participation?. Journal of Educational Technology & Society, 15(2), 12-24.
• Burger, J. M. (2006). Kişilik (Çev. İ.D Erguvan Sarıoğlu). Kaknüs Yayınları.
• Büyüköztürk, Ş. (2009). Sosyal bilimler için veri analizi el kitabı (10. Baskı). Pegem A Akademi.
• Chamorro-Premuzic, T., & Furnham, A. (2009). Mainly Openness: The relationship between the Big Five personality traits and learning approaches. Learning and individual Differences, 19(4), 524-529. doi: 10.1016/j.lindif.2009.06.004.
• Chauvin, B., Hermand, D., & Mullet, E. (2007). Risk Perception and Personality Facets. Risk Analysis. 1, 171-185
• Costa, P. T., Jr. & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO PI-R) and NEO Five Factor Inventory (NEO FFI) Professional Manual. Psychological Assessment Resources.
• Costa, P.T., & McCrae, R.R. (1990). Personality disorders and the five-factor model of personality. Journal of Personality Disorders, 4(4), 362-371. doi: 10.1521/pedi.1990.4.4.362.
• Çiçek, İ., & Aslan, A. E. (2020). Kişilik ve beş faktör kişilik özellikleri: Kuramsal bir çerçeve. Batman Üniversitesi Yaşam Bilimleri Dergisi, 10(1), 137-147.
• Dada, D. (2006). E-Readiness for Developing Countries: Moving the Focus from the Environment to the Users. The Electronic Journal on Information Systems in Developing Countries, 27(6), 1-14.
• Di Fabio, A., & Busoni, L. (2007). Fluid intelligence, personality traits and scholastic success: Empirical evidence in a sample of Italian high school students. Personality and Individual Differences, 43(8), 2095-2104., doi: 10.1016/j.paid.2007.06.025.
• Digman, J. M. (1990). Personality structure: emengence of the five-factor model. Annual Review of Psychology, 41, 417-440
• Dikbaş Torun, E. (2020). Online distance learning in higher education: E-learning readiness as a predictor of academic achievement. Open Praxis, 12(2), 191-208. https://doi.org/10.5944/openpraxis.12.2.1092.
• Eastin, M. S., & LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. Journal of Computer-Mediated Communication, 6(1). https://doi.org/10.1111/j.1083-6101.2000.tb00110.x
• Erciyas, O., & Okray, Z. (2022). Personality Traits and Online Learning Readiness of Students Receiving Education in Turkısh Language Teaching and Turkish Language and Literature Departments. Current Research in Social, Human and Administrative Sciences.
• Goldberg, L. R. (1990). An Alternative “description of personality”. The big–five factor structure. Journal of Personaltiy and Social Psychology, 59, 1216-1229.
• Guglielmino, L. M., & Guglielmino, P. J. (2003). Identifying learners who are ready for e-learning and supporting their success. In G.M. Piskurich (Ed), Preparing learners for e-Learning (pp. 19-33). John Wiley & Sons
• Hung, M., Chou,C., Chen, C. ve Own, Z. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55, 1080-1090. doi:10.1016/j.compedu.2010.05.004
• Ilgaz, H. (2018). Bireysel farklılıklar kapsamında çevrimiçi öğrenme araştırmalarına ilişkin sistematik bir derleme. Journal of Theoretical Educational Science, 11(4), 1003-1018.
• İbili, E. (2020). Examination of Health Science University students’ level of readiness for e-learning. International Online Journal of Education and Teaching (IOJET), 7(3). 1010-1030. https://iojet.org/index.php/IOJET/article/view/868.
• Jani, D. (2014). Relating travel personality to Big Five Factors of personality. Tourism: An International Interdisciplinary Journal, 62(4), 347-359.
• Jensen, M. (2015). Personality traits, learning and academic achievements. Journal of Education and Learning, 4(4), 91-118., doi: 10.5539/jel.v4n4p91.
• John, O. P., Donahue, E. M., & Kentle, R. L. (1991). Big five inventory. Journal of Personality and Social Psychology.
• John, O. P., & Srivastava, S. (1999). The big five trait taxonomy: History, measurement and theoretical perceptives, 102-138. In Hadbook of Personality, (Ed. Pervin, L. A., & John, O.P). New York: The Guilford Press.
• Johnson, G. M., & Cooke, A. (2016). An ecological model of student interaction in online learning environments. In Handbook of research on strategic management of interaction, presence, and participation in online courses (pp. 1-28). IGI Global.
• Karasar, N. (2011). Bilimsel Araştırma Yöntemi. Nobel Akademik Yayıncılık.
• Kaur, K. & Abas, Z. W. (2004). An assessment of e-learning readiness at the open university Malayesia. International conference on computers in Education, ICCE 2004, Melbourne, Australia.
• Kaya, Z. (2002). Uzaktan Eğitim. Pegem A Yayıncılık.
• Kayaoğlu, M. N. ve Dağ Akbaş, R. (2016). Online Learning Readiness: A Case Study in the Field of English for Medical Purposes. Participatory Educational Research (PER), 2(3), 212-220.
• Kim, E. B., & Schniederjans, M. J. (2004). The role of personality in web-based distance education courses. Communications of the ACM, 47(3), 95-98.
• Komarraju, M., & Nadler, D. (2013). Self-efficacy and academic achievement: Why do implicit beliefs, goals, and effort regulation matter?. Learning and individual differences, 25, 67-72, doi: 10.1016/j.lindif.2013.01.005.
• Komarraju, M., Karau, S. J., & Schmeck, R. R. (2009). Role of the Big Five personality traits in predicting college students' academic motivation and achievement. Learning and individual differences, 19(1), 47-52, doi: 10.1016/j.lindif.2008.07.001.
• Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The Big Five personality traits, learning styles, and academic achievement. Personality and individual differences, 51(4), 472-477, doi: 10.1016/j.paid.2011.04.019.
• Korkmaz, Ö., Çakır, R., & Tan, S. (2015). Öğrencilerin E-Öğrenmeye Hazir Bulunuşluk ve Memnuniyet Düzeylerinin Akademik Başarıya Etkisi. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi, 16(3), 219-241.
• Kruger-Ross, M. J. & Waters, R. D. (2013). Predicting online learning success: Applying the situational theory of publics to the virtual classroom. Computers & Education, 53, 761–774. https://doi. org/10.1016/j.compedu.2012.09.015
• Lau, C. Y., & Shaikh, J. M. (2012). The impacts of personal qualities on online learning readiness at Curtin Sarawak Malaysia (CSM). Educational Research and Reviews, 7(20), 430.
• Lopez, C. (2007). “Evaluating E-Learning Readiness In A Health Sciences Higher Education. In IADIS International Conference ELearning.
• Lubbers, M. J., Van Der Werf, M. P., Kuyper, H., & Hendriks, A. J. (2010). Does homework behavior mediate the relation between personality and academic performance?. Learning and Individual differences, 20(3), 203-208, doi: 10.1016/j.lindif.2010.01.005.
• Lynch, M. M. (2002). The online educator: A guide to creating the virtual classroom. Routledge Falmer Taylor & Francis Group.
• Morfaki, C., & Skotis, A. (2022). Academic online learning experience during COVID-19-a systematic literature review based on personality traits. Higher Education, Skills and Work-Based Learning, (ahead-of-print).
• Muse, H. E. (2003). The web-based community college student: An examination of factors that lead to success and risk. The Internet and Higher Education, 6, 241–261.
• Moore, M. G., & Kearsley, I. G. (2012). Distance education: A systems view of online learning (3rd Ed.). Wadsworth Publishing Company.
• Norwich, B. (2002). Education, inclusion and individual differences: Recognising and resolving dilemmas. British Journal of Educational Studies, 50(4), 482-502, doi:10.1111/1467-8527.t01-1-00215
• Parnell, J. A., & Carraher, S. (2003). The management education by internet readiness (MEBIR) scale: Developing a scale to assess personal readiness for Internet-mediated management education. Journal of Management Education,27(4), 431– 446, doi:10.1177/1052562903252506
• Paunonen, S. V., & Ashton, M. C. (2001). Big five factors and facets and the prediction of behavior. Journal of personality and social psychology, 81(3), 524., doi: 10.1037/0022-3514.81.3.524.
• Payne, S. C., Youngcourt, S. S., & Beaubien, J. M. (2007). A meta-analytic examination of the goal orientation nomological net. Journal of applied psychology, 92(1), 128., doi: 10.1037/0021-9010.92.1.128.
• Peterson, C. H., Casillas, A., & Robbins, S. B. (2006). The Student Readiness Inventory and the Big Five: Examining social desirability and college academic performance. Personality and Individual Differences, 41(4), 663-673., doi: 10.1016/j.paid.2006.03.006.
• Proffitt, L. N. (2008). A Study of the Influence of Learner Readiness on Academic Success and Student Perceptions of Online Learning. Unpublished Doctoral Dissertation. Capella University. USA.
• Richardson, M., & Abraham, C. (2009). Conscientiousness and achievement motivation predict performance. European Journal of Personality, 23(7), 589-605, doi: 10.1002/per.732.
• Sahin, M., Keskin, S., & Yurdugül, H. (2018). Online learners' readiness and learning interactions: A sequential analysis. In International Association for Development of the Information Society.
• Saklofske, D. H., Austin, E. J., Mastoras, S. M., Beaton, L., & Osborne, S. E. (2012). Relationships of personality, affect, emotional intelligence and coping with student stress and academic success: Different patterns of association for stress and success. Learning and Individual Differences, 22(2), 251-257, doi: 10.1016/j.lindif.2011.02.010.
• Schniederjans, M. J.,& Kim, E. B. (2005). Relationship of Student Undergraduate Achievement and Personality Characteristics in a Total Web‐Based Environment: An Empirical Study. Decision Sciences Journal of Innovative Education, 3(2), 205-221.
• So, T., & Swatman, P. M. C. (2006). e-Learning readiness of Hong Kong teachers. Hong Kong IT in Education Conference, February, 6–8.
• Somer, O., Korkmaz, M., & Tatar, A. (2002). Beş faktör kişilik envanteri’nin geliştirilmesi-1: Ölçek ve alt ölçeklerin oluşturulması. Türk Psikoloji Dergisi, 17(49), 21–33.
• Steinmayr, R., Bipp, T., & Spinath, B. (2011). Goal orientations predict academic performance beyond intelligence and personality. Learning and individual differences, 21(2), 196-200, doi: 10.1016/j.lindif.2010.11.026.
• Suwarsono, L.W. (2015). Pengukuran e-learning readiness pada mahasiswa teknik Universitas Telkom. Psympathic: Jurnal Ilmiah Psikologi, 2(2), pp.141-152, //doi.org/10.15575/psy.v2i2.455
• Suwarsono, L. W., Aisha, A. N., & Nugraha, F. N. (2022). The Role of E-Learning Readiness on Workload: Perspective Engineering and non-Engineering Students. International Journal of Innovation in Enterprise System, 6(01), 85-94.
• Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of internet self-efficacy. Innovations in education and Teaching International, 40(1), 43– 50. https://doi.org/10.1080/1355800032000038822
• Ünal, P. (2015). An analysis on user profiles and usage preferences for mobile application recommendations. Yayınlanmamış Doktora Tezi, Orta Doğu Teknik Üniversitesi, Ankara.
• Warner, D., Christie, G., & Choy, S. (1998). Readiness of VET clients for flexible delivery including online learning. Australian National Training Authority. http://hdl.voced.edu.au/10707/33256
• Vedel, A., & Poropat, A. E. (2017). Personality and academic performance. Encyclopedia of personality and individual differences, 1-9.
• Von Stumm, S., Hell, B., & Chamorro-Premuzic, T. (2011). The hungry mind: Intellectual curiosity is the third pillar of academic performance. Perspectives on Psychological Science, 6(6), 574-588, doi: 10.1177/1745691611421204.
• Voorn, R. J., & Kommers, P. A. (2013). Social media and higher education: Introversion and collaborative learning from the student’s perspective. International journal of social media and interactive learning environments, 1(1), 59-73.
• YÖK, (2022). Yükseköğretim Kurumlarında Uzaktan Öğretime İlişkin Usul Ve Esaslar, https://www.yok.gov.tr/Documents/Kurumsal/egitim_ogretim_dairesi/Uzaktan_ogretim/yuksekogretim-kurumlarinda-uzaktan-ogretime-iliskin-usul-ve-esaslar.pdf
• Yurdugül, H., & Alsancak-Sırakaya, D. (2013). Çevrimiçi öğrenme hazır bulunuşluluk ölçeği: Geçerlik ve güvenirlik çalışması. Eğitim ve Bilim, 38(169).
• Yurdugül, H., & Demir, Ö. (2017). An investigation of pre-service teachers' readiness for e-learning at undergraduate level teacher training programs: The case of Hacettepe University. Hacettepe University Journal of Education Faculty, 32(4), 896-915.
• Zapiatis, A., & Constanti, P. (2012). Extraversion, openness and conscientiousness. Leadership and Organization Development Journal, 33(1), 86-104.