Investigation of the Relationships between E-Learning Styles, Educational Technology Self-Efficacy Perceptions and Problem-Solving Skills of Pre-Service Elementary Mathematics Teachers'

Year 2024, Volume: 8 Issue: 17, 157 - 174

Deniz Kaya Tamer Kutluca Gökhan Dağhan

https://doi.org/10.31458/iejes.1355282

Abstract

This study aims to determine the relationship between pre-service elementary mathematics teachers' e-learning styles, educational technology self-efficacy perceptions, and problem-solving skills. The sample of the study, in which the relational screening model was used, consists of 150 pre-service teachers studying in a state university's elementary mathematics teaching department. Of the participants, 68% (n=102) were female and 32% (n=48) were male. Data collection tools, e-learning styles, education technology self-efficacy, and measurement tools consisting of non-routine problems were used to determine problem-solving skills and an information form. Pearson product-moment correlation technique and multiple linear regression analysis were used to analyze the data set. According to the study's findings, significant relationships were determined between the sub-dimensions of e-learning styles, education technology self-efficacy, and problem-solving skills. Predictive variables consisting of sub-dimensions of e-learning styles and education technology self-efficacy explained 36% of the variance of the problem-solving skill. At the same time, audio-visual learning, verbal learning, active learning, logical learning, modeling digital-age work and learning, designing and developing digital-age learning experiences and assessments, and engaging in professional growth and leadership variables were effective in problem-solving. Finally, according to the findings, some suggestions are presented.

Keywords

Educational technology self-efficacy, e-learning styles, pre-service teacher, problem-solving skill

References

• Anderson, J. R. (1993). Problem solving and learning. American Psychologist, 48(1), 35-44. https://doi.org/10.1037/0003-066X.48.1.35
• Asfahani, A. M. (2023). The relationship between academic self-efficacy and undergraduate students’ perceptions of electronic assessment: A mediation analysis. International Journal of Learning, Teaching and Educational Research, 22(6), 226-244. https://doi.org/10.26803/ijlter.22.6.13
• Bakaç, E. (2022). Investigation of the relationship between teacher candidates' e-learning styles, academic achievements and educational technology self-efficiency perceptions. Cukurova University Faculty of Education Journal, 51(1), 148-164. https://doi.org/10.14812/cuefd.887697
• Bandura, A. (2001). A social cognitive perspective on positive psychology. Annual Review of Psychology, 52, 1-26. https://doi.org/10.1146/annurev.psych.52.1.1
• Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
• Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37, 122-147. http://doi.org/10.1037/0003-066X.37.2.122
• Biggs, J. (1993). From theory to practice: A cognitive systems approach. Higher Education Research and Development, 12(1), 73-86. http://dx.doi.org/10.1080/0729436930120107
• Büyüköztürk, Ş. (2011). Sosyal bilimler için veri analizi el kitabı [Manual of data analysis for social sciences] (15th ed.). Pegem Academy Publishing.
• Cai, J., & Leikin, R. (2020). Affect in mathematical problem posing: conceptualization, advances, and future directions for research. Educational Studies in Mathematics, 105(3), 287-301. https://doi.org/10.1007/s10649-020-10008-x
• Can, A. (2023). SPSS ile bilimsel araştırma sürecinde nicel veri analizi [Quantitative data analysis in the scientific research process with SPSS] (11th ed.). Pegem Academy Publishing.
• Carmo, L., Gomes, A., Pereira, F., & Mendes, A. (2006, September). Learning styles and problem solving strategies [Conference presentation]. 3rd E-Learning Conference, Coimbra, Portugal.
• Cassidy, S. (2004). Learning styles: An overview of theories, models, and measures. Educational Psychology, 24(4), 419-444. https://doi.org/10.1080/0144341042000228834
• Celik, V., & Yesilyurt, E. (2013). Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education. Computers & Education, 60(1), 148-158. https://doi.org/10.1016/j.compedu.2012.06.008
• Chang, Y. C., Kao, W. Y., Chu, C. P., & Chiu, C. H. (2009). A learning style classification mechanism for e-learning. Computers & Education, 53(2), 273-285. https://doi.org/10.1016/j.compedu.-2009.02.008
• Chen, T., & Cai, J. (2020). An elementary mathematics teacher learning to teach using problem posing: A case of the distributive property of multiplication over addition. International Journal of Educational Research, 102, 1-11. https://doi.org/10.1016/j.ijer.2019.03.004
• Coffield, F. (2004). Learning styles and pedagogy in post-16 learning: A systematic and critical review. Learning and Skills Research Centre.
• Colley, A., & Maltby, J. (2008). Impact of the Internet on our lives: Male and female personal perspectives. Computers in Human Behavior, 24(5), 2005-2013. https://doi.org/10.1016/j.chb.-2007.09.002
• Compeau, D., & Higgins, C. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211. https://doi.org/10.2307/249688
• Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2014). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları [Multivariate statistics for social sciences: SPSS and LISREL applications] (3rd ed.). Pegem Academy Publishing.
• Dewey, J. (1957). Nasıl düşünürüz? [How do we think?] (B. Arıkan, S. Akdeniz, & O. Etker, Trans.). Muallimler Cemiyeti Publishing.
• Dunn, R. (2000). Learning styles: Theory, research, and practice. National Forum of Applied Educational Research Journal, 13(1), 3-22.
• Elçiçek, M., & Erdemci, H. (2021). Investigation of 21st-century competencies and e-learning readiness of higher education students on the verge of digital transformation. Journal of Computer and Education Research, 9(17), 80-101. https://doi.org/10.18009/jcer.835877
• El Ghouati, A. (2017). Examining the relationship between e-learning styles and achievement in English among Moroccan university students. Arab World English Journal, 8(2), 323-332. http://dx.doi.org/10.2139/ssrn.3005614
• European Commission (EC) (2008). Commission staff working document: The use of ICT to support innovation and lifelong learning for all. European Commission. Retrieved from https://epale.ec.europa.eu/en Felder, R. M., & Silverman, L. K. (1988). Learning and teaching styles in engineering education. Engineering Education, 78(7), 674-681.
• Gülbahar, Y., & Alper, A. (2014). Development of e-learning styles scale for electronic environments. Education and Science, 39(171), 421-435.
• Güner, P., & Erbay, H. N. (2021). Prospective mathematics teachers’ thinking styles and problem-solving skills. Thinking Skills and Creativity, 40, 1-14. https://doi.org/10.1016/j.tsc.2021.100827
• Güner, P. (2021). Problem-posing skills and thinking styles of preservice teachers. HAYEF: Journal of Education, 18(2), 254-277. https://doi.org/10.5152/hayef.2021.21003
• Gürcan, F., & Özyurt Ö. (2020). Emerging trends and knowledge domains in e-learning researches: topic modeling analysis with the articles published between 2008- 2018. Journal of Computer and Education Research, 8(16), 738-756. https://doi.org/10.18009/769349
• Hatlevik, I. K. R., & Hatlevik, O. E. (2018). Examining the relationship between teachers’ ICT self-efficacy for educational purposes, collegial collaboration, lack of facilitation and the use of ICT in teaching practice. Frontiers in Psychology, 8, 1-8. https://doi.org/10.3389/fpsyg.2018.00935
• Holden, H., & Rada, R. (2011) Understanding the influence of perceived usability and technology self-efficacy on teachers’ technology acceptance. Journal of Research on Technology in Education, 43(4), 343-367. https://doi.org/10.1080/15391523.2011.10782576
• Hollands, F., & Escueta, M. (2020). How research informs educational technology decision-making in higher education: The role of external research versus internal research. Educational Technology Research and Development, 68, 163-180. https://doi.org/10.1007/s11423-019-09678-z
• Huffman, A. H., Whetten, J., & Huffman, W. H. (2013). Using technology in higher education: The influence of gender roles on technology self-efficacy. Computers in Human Behavior, 29(4), 1779-1786. https://doi.org/10.1016/j.chb.2013.02.012
• International Society for Technology in Education (ISTE) (2016). ISTE standards for students. Arlington, VA. Retrieved from https://www.iste.org/standards/iste-standards-for-students
• Jonassen, D. H. (1997). Instructional design models for well-structured and III-structured problem-solving learning outcomes. Educational Technology Research and Development, 45(1), 65-94. https://doi.org/10.1007/BF02299613
• Karasar, N. (2018). Bilimsel araştırma yöntemi: Kavramlar, ilkeler, teknikler [Scientific research method: Concepts, principles, techniques] (35th ed.). Nobel Publishing.
• Kaqinari, T., Makarova, E., Audran, J., Döring, A. K., Göbel, K., & Kern, D. (2022). A latent class analysis of university lecturers’ switch to online teaching during the first COVID-19 lockdown: The role of educational technology, self-efficacy, and institutional support. Education Sciences, 12, 1-19. https://doi.org/10.3390/educsci12090607
• Keengwe, J. (2007). Faculty integration of technology into instruction and students’ perceptions of computer technology to improve student learning. Journal of Information Technology Education, 6, 169-180. https://doi.org/10.28945/208
• Kent, A. M., & Giles, R. M. (2017). Preservice teachers’ technology self-efficacy. Southeastern Regional Association for Teacher Educators, 26(1), 9-20.
• Khamparia, A., & Pandey, B. (2020). Association of learning styles with different e-learning problems: A systematic review and classification. Education and Information Technologies, 25(2), 1303-1331. https://doi.org/10.1007/s10639-019-10028-y
• Kia, M. M., Aliapour, A., & Ghaderi, E. (2009). Study of learning styles and their roles in the academic achievement of the students of Payame Noor University. Turkish Online Journal of Distance Education, 10(2), 24-37.
• Kline, P. (1994). An easy guide to factor analysis. Routledge Publishing.
• Kolb, D., & Kolb, A. Y. (2005). The Kolb learning style inventory-version 3.1, 2005 technical specifications. Hay Transforming Learning.
• Kurnaz, F. B., & Ergün, E. (2019). Investigation of the relations between e-learning style and academic achievement in e-learning environment. Journal of Theoretical Educational Science, 12(2), 532-549. http://dx.doi.org/10.30831/akukeg.407029
• Lamb, R. L., Vallett, D., & Annetta, L. (2014). Development of a short-form measure of science and technology self-efficacy using Rasch analysis. Journal of Science Education and Technology, 23, 641-657. https://doi.org/10.1007/s10956-014-9491-y
• Lee, J., Lim, C., & Kim, H. (2017). Development of an instructional design model for flipped learning in higher education. Educational Technology Research and Development, 65(2), 427-453. https://doi.org/10.1007/s11423-016-9502-1
• Luo, N., Zhang, M., & Qi, D. (2017). Effects of different interactions on students' sense of community in e-learning environment. Computers & Education, 115, 153-160. https://doi.org/10.1016/j.compedu.2017.08.006
• Marshall, C., & Rossman, G. (2016). Designing qualitative research (6th ed.). Sage Publishing.
• McDonald, T., & Siegall, M. (1992). The effects of technological self-efficacy and job focus on job performance, attitudes, and withdrawal behaviors. The Journal of Psychology, 126(5), 465-475. https://doi.org/10.1080/00223980.1992.10543380
• Mew, L., & Honey, W. H. (2010). Effects of computer self efficacy on the use and adoption of online social networking. International Journal of Virtual Communities and Social Networking, 2(1), 18-34. https://doi.org/10.4018/jvcsn.2010010102
• National Council of Teachers of Mathematics (NCTM) (2020). Catalyzing change in middle school mathematics: Initiating critical conversations. NCTM.
• National Council of Teachers of Mathematics (NCTM) (2000). Principles and standards for school mathematics. NCTM.
• National Research Council (NRC) (2011). Assessing 21st century skills: Summary of a workshop. National Academies Press. https://doi.org/10.17226/13215
• Ozaydin-Ozkara, B., & Ibili, E. (2021). Analysis of students’ e-learning styles and their attitudes and self-efficacy perceptions towards distance education. International Journal of Technology in Education and Science (IJTES), 5(4), 550-570. https://doi.org/10.46328/ijtes.200
• Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543-578. https://doi.org/10.3102/00346543066004543
• Pan, X. (2020). Technology acceptance, technological self-efficacy, and attitude toward technology-based self-directed learning: Learning motivation as a mediator. Frontiers in Psychology, 11, 1-11. https://doi.org/10.3389/fpsyg.2020.564294 Polya, G. (1962). Mathematical discovery: On understanding, learning, and teaching problem solving. John Wiley.
• Posamentier, A. S., & Krulik, S. (2020). Etkili ve yaratıcı çözümler için problem çözme stratejileri 6-12. sınıflar. Matematik öğretmeni için bir kaynak [Problem solving strategies for effective and creative solutions 6-12. classes. A resource for the math teacher] (L. Akgün, Trans.). Pegem Academy Publishing.
• Rahman, M. K., Bhuiyan, M. A., Hossain, M. M., & Sifa, R. (2023). Impact of technology self-efficacy on online learning effectiveness during the COVID-19 pandemic. Kybernetes, 52(7), 2395-2415. https://doi.org/10.1108/K-07-2022-1049
• Rich, M., Bickham, D. S., & Wartella, E. (2015). Methodological advances in the field of media influences on children. American Behavioral Scientist (ABS), 59(14), 1731-1735. https://doi.org/10.1177/0002764215596557
• Schoenfeld, A. H. (1992). Learning to think mathematically: Problem solving, metacognition, and sensemaking in mathematics. In D. Grouws (Ed.), Handbook for research on mathematics teaching and learning (pp. 334-370). MacMillan. https://doi.org/10.1177/0022057416196002
• Schunk, D. H., & Pajares, F. (2002). The development of academic self-efficacy. In A. Wigfield, & J. S. Eccles (Eds.), Development of achievement motivation (pp. 15-31). Academic Press.
• Senturk, C., & Cigerci, F. M. (2018). Investigation of classroom teachers’ e-learning styles. Journal of Social Sciences of Kahramanmaraş Sütçü İmam University, 15(1), 69-88.
• Shahabadi, M. M., & Uplane, M. (2015). Synchronous and asynchronous e-learning styles and academic performance of e-learners. Procedia-Social and Behavioral Sciences, 176, 129-138. https://doi.org/10.1016/j.sbspro.2015.01.453
• Simsek, O., & Yazar, T. (2016). Education technology standards self-efficacy (ETSSE) scale: A validity and reliability study. Eurasian Journal of Educational Research, 63, 311-334. https://doi.org/10.14689/ejer.2016.63.18
• Soydaş-Çakır, H., & Akyazı, E. (2021). Interaction increasing factors: Research on e-learning content design. International e-Journal of Educational Studies, 5(9), 25-40. https://doi.org/10.31458/-iejes.786457 Sönmez, S., & Korucuk, M. (2023). The effect of e-learning styles on online learning. Shanlax International Journal of Education, 11(1), 216-226. https://doi.org/10.34293/education.v11iS1-July.6203
• Şeker, M., & Yılmaz, K. (2011). Investigation into the effects of the use of learning styles on students’ learning levels in social studies teaching. Kastamonu Education Journal, 19(1), 251-266.
• Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Publishing.
• Truong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in Human Behavior, 55, 1185-1193. https://doi.org/10.1016/j.chb.2015.02.014
• Ucar, D., & Yilmaz, S. (2023). Pre-service science teachers’ e-learning styles. Journal of Baltic Science Education, 22(1), 167-181. https://doi.org/10.33225/jbse/23.22.167
• Vekiri, I., & Chronaki, A. (2008). Gender issues in technology use: Perceived social support, computer self-efficacy and value beliefs, and computer use beyond school. Computers and Education, 51(3), 1392-1404. http://dx.doi.org/10.1016/j.compedu.2008.01.003
• Willingham, D. T., Hughes, E. M., & Dobolyi, D. G. (2015). The scientific status of learning styles theories. Teaching of Psychology, 42(3), 266-271. https://doi.org/10.1177/0098628315589505
• Yeşilyurt, E. (2019). Learning style models: A comprehensive review in the context of theoretical basics. International Journal of Society Researches, 14(20), 2169-2226. https://doi.org/10.26466/opus.603506
• Yıldırım, A., & Şimşek, H. (2021). Sosyal bilimlerde nitel araştırma yöntemleri [Qualitative research methods in the social sciences] (12th ed.). Seçkin Publishing.
• Yurdal, M. O., Sahin, E. M., Aytug-Kosan, A. M., & Toraman, C. (2021). Development of medical school students’ attitudes towards online learning scale and its relationship with e-learning styles. Turkish Online Journal of Distance Education, 22(3), 310-325. https://doi.org/10.17718/tojde.961855
• Zain, N. N. M., Tamsir, F., Ibrahim, N. A., Poniran, H., & Ghazali, A. S. M. (2019). VARK learning styles towards academic performance among students of private unıversıty in Selangor. International Journal of Modern Trends in Social Sciences, 2(10), 1-12. https://doi.org/10.35631/IJMTSS.210001
• Zhang, Y. (2022). The effect of educational technology on EFL learners’ self-efficacy. Frontiers in Psychology, 13, 1-8. https://doi.org/10.3389/fpsyg.2022.881301
• Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13-39). Academic Press. https://doi.org/10.1016/B978-012109890-2/50031-7