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Technology, Knowledge and Learning

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23.04.2020 | Original research

Students’ Satisfaction with E-learning Platforms in Bosnia and Herzegovina

verfasst von: Adis Puška, Edisa Puška, Ljiljana Dragić, Aleksandar Maksimović, Nasih Osmanović

Erschienen in: Technology, Knowledge and Learning | Ausgabe 1/2021

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Abstract

This paper presents an empirical study of multidimensional relations in e-learning. The research is focused on students’ satisfaction with the usage of e-learning. Data for this survey were collected on the territory of Bosnia and Herzegovina. By using random sample method, eleven higher education institutions in BIH were selected and the survey questionnaires were sent to their students. The collected data from students were analyzed and confirmed by applying confirmative factor analysis. The structural equations model was used to test the model. The obtained results have shown that Metacognitive strategies variable directly affects the students’ satisfaction when using e-learning, while students’ self-efficacy and goal setting variables indirectly affect the student’s satisfaction, along with the environment structuring and social dimensions. The given results from this research will help other higher education institutions to improve their e-learning platforms in e-learning and by doing so students will continue to use these platforms. The conducted research has given guidelines for the development of this type of learning.

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Ale, K., Loh, Y. A.-C., & Chib, A. (2017). Contextualized-OLPC education project in rural India: measuring learning impact and mediation of computer self-efficacy. Educational Technology Research and Development, 65(3), 769–794. https://doi.org/10.1007/s11423-017-9517-2.CrossRef

Allen, I. E., & Seaman, J. (2016). Online report card: Tacking online education in the United States. Newburyport, MA: Babson Survey Research Group.

Apaydin, M., & Hossary, M. (2017). Achieving metacognition through cognitive strategy instruction. International Journal of Educational Management, 31(6), 696–717. https://doi.org/10.1108/IJEM-05-2016-0130.CrossRef

Baghurst, T., Tapps, T., & Kensinger, W. (2015). Setting goals for achievement in physical education settings. Strategies, A Journal for Physical and Sport Educators, 28(1), 27–33. https://doi.org/10.1080/08924562.2014.980876.CrossRef

Bakir, S. (2014). 5th Grade students’ opinions about active learning environment. Procedia: Social and Behavioral Sciences, 116, 3553–3558. https://doi.org/10.1016/j.sbspro.2014.01.801.CrossRef

Bognar, B., Gajger, V., & Ivić, V. (2016). Constructivist e-learning in higher education. Croatian Journal of Education, 18(S1), 31–46. https://doi.org/10.15516/cje.v18i0.2221.CrossRef

Borup, J., Graham, C. R., & Davies, R. S. (2013). The nature of adolescent learner interaction in a virtual high school setting. Journal of Computer Assisted learning, 29(2), 153–167. https://doi.org/10.1111/j.1365-2729.2012.00479.x.CrossRef

Burnette, J. L., O’Boyle, E. H., VanEpps, E. M., Pollack, J. M., & Finkel, E. J. (2013). Mind-sets matter: A meta-analytic review of implicit theories and self-regulation. Psychological Bulletin, 139(3), 655–701. https://doi.org/10.1037/a0029531.CrossRef

Callaghan, R. (2018). Developing mobile teaching practice: A collaborative exploration process. Technology, Knowledge and Learning, 23(2), 331–350. https://doi.org/10.1007/s10758-017-9319-y.CrossRef

Chen, Y.-C. (2014). An empirical examination of factors affecting college students’ proactive stickiness with a web-based English learning environment. Computers in Human Behavior, 31, 159–171. https://doi.org/10.1016/j.chb.2013.10.040.CrossRef

Chien, T.-C. (2012). Computer self-efficacy and factors influencing e-learning effectiveness. European Journal of Training and Development, 36(7), 670–686. https://doi.org/10.1108/03090591211255539.CrossRef

Chiu, Y.-L., Liang, J.-C., & Tsai, C.-C. (2013). Internet-specific epistemic beliefs and self-regulated learning in online academic information searching. Metacognition and Learning, 8(3), 235–260. https://doi.org/10.1007/s11409-013-9103-x.CrossRef

Cohen, A., & Baruth, O. (2017). Personality, learning, and satisfaction in fully online academic courses. Computers in Human Behavior, 72, 1–12. https://doi.org/10.1016/j.chb.2017.02.030.CrossRef

Cui, G., Lockee, B., & Meng, C. (2013). Building modern online social presence: A review of social presence theory and its instructional design implications for future trends. Education and Information Technologies, 18, 661–685. https://doi.org/10.1007/s10639-012-9192-1.CrossRef

DeMink-Carthew, J., Olofson, M. W., LeGeros, L., Netcoh, S., & Hennessey, S. (2017). An analysis of approaches to goal setting in middle grades personalized learning environments. Reaearch in Middle Level Education Online, 40(10), 1–11. https://doi.org/10.1080/19404476.2017.1392689.CrossRef

Djouad, T., & Mille, A. (2018). Observing and understanding an on-line learning activity: A model-based approach for activity indicator engineering. Technology, Knowledge and Learning, 23(1), 41–64. https://doi.org/10.1007/s10758-017-9337-9.CrossRef

Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6–25. https://doi.org/10.1080/00461520.2011.538645.CrossRef

Ejubović, A., & Puška, A. (2019). Impact of self-regulated learning on academic performance and satisfaction of students in the online environment. Knowledge Management and E-Learning, 11(3), 345–363. https://doi.org/10.34105/j.kmel.2019.11.018.CrossRef

Gaeta, M., Mangione, G. R., Orciuoli, F., & Salerno, S. (2013). Ambient e-Learning: A metacognitive approach. Journal of Ambient Intelligence and Humanized Computing, 4(1), 141–154. https://doi.org/10.1007/s12652-012-0111-5.CrossRef

Hsia, J.-W., Chang, C.-C., & Tseng, A.-H. (2014). Effects of individuals’ locus of control and computer self-efficacy on their e-learning acceptance in high-tech companies. Behaviour and Information Technology, 33(1), 51–64. https://doi.org/10.1080/0144929X.2012.702284.CrossRef

Hunga, M.-L., Chou, C., Chen, C.-H., & Own, Z.-Y. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers and Education, 55(3), 1080–1090. https://doi.org/10.1016/j.compedu.2010.05.004.CrossRef

Jan, S. K. (2015). The relationships between academic self-efficacy, computer self-efficacy, prior experience, and satisfaction with online learning. American Journal of Distance Education, 29(1), 30–40. https://doi.org/10.1080/08923647.2015.994366.CrossRef

Johnson, R. D., Gueutal, H., & Falbe, C. M. (2009). Technology, trainees, metacognitive activity and e-learning effectiveness. Journal of Managerial Psychology, 24(6), 545–566. https://doi.org/10.1108/02683940910974125.CrossRef

Karlen, Y. (2016). Perceived learning environments and metacognitive strategy knowledge at the upper secondary school level. Journal for Educational Research Online, 8(2), 212–232. https://doi.org/10.5167/uzh-126535.CrossRef

Kauffman, H. (2015). A review of predictive factors of student success in and satisfaction dwith online learning. Research in Learning Technology, 23, 1–13. https://doi.org/10.3402/rlt.v23.26507.CrossRef

Ke, F., & Kwak, D. (2013). Constructs of student-centered online learning on learning satisfaction of a diverse online student body: A structural equation modeling approach. Journal of Educational Computing Research, 48(1), 97–122. https://doi.org/10.2190/EC.48.1.e.CrossRef

Khlaisang, J., & Songkram, N. (2019). Designing a virtual learning environment system for teaching twenty-first century skills to higher education students in ASEAN. Technology, Knowledge and Learning, 24(1), 41–63. https://doi.org/10.1007/s10758-017-9310-7.CrossRef

Kirmizi, O. (2014). Self-regulated learning strategies employed by regular, evening, and distance education English language and literature students. The Anthropologist, 18(2), 447–460. https://doi.org/10.1080/09720073.2014.11891563.CrossRef

Kisac, I., & Budak, Y. (2014). Metacognitive strategies of the university students with respect to their perceived self-confidence levels about learning. Procedia: Social and Behavioral Sciences, 116, 3336–3339. https://doi.org/10.1016/j.sbspro.2014.01.759.CrossRef

Kistner, S., Rakoczy, K., Otto, B., Dignath-van Ewijk, C., Büttner, G., & Klieme, E. (2010). Promotion of self-regulated learning in classrooms: Investigating frequency, quality, and consequences for student performance. Metacognition and Learning, 5(2), 157–171. https://doi.org/10.1007/s11409-010-9055-3.CrossRef

Kuo, Y.-C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35–50. https://doi.org/10.1016/j.iheduc.2013.10.001.CrossRef

Larbi-Siaw, O., & Owusu-Agyeman, Y. (2016). Miscellany of students’ satisfaction in an asynchronous learning environment. Journal of Educational Technology Systems, 45(4), 456–475. https://doi.org/10.1177/0047239516667499.CrossRef

Leigh Bruhn, A., Fernando, J., McDaniel, S., & Troughton, L. (2017). Putting behavioral goal-setting research into practice. Beyond Behavior, 26(2), 66–73. https://doi.org/10.1177/1074295617711208.CrossRef

Li, N., Marsh, V., & Rienties, B. (2016). Modelling and managing learner satisfaction: Use of learner feedback to enhance blended and online learning experience. Decision Sciences Journal of Innovative Education, 14(2), 216–242. https://doi.org/10.1111/dsji.12096.CrossRef

Li, Y., Yang, H. H., Cai, J., & MacLeod, J. (2017). College students’ computer self-efficacy, intrinsic motivation, attitude, and satisfaction in blended learning environments. In S. Cheung, L. Kwok, W. Ma, L. K. Lee, & H. Yang (Eds.), Blended learning. New challenges and innovative practices (pp. 65–73). Geneva: ICBL. https://doi.org/10.1007/978-3-319-59360-9_6.CrossRef

Lii, P., & Kuo, F.-I. (2016). Innovation-oriented supply chain integration for combined competitiveness and firm performance. International Journal of Production Economics, 174, 142–155. https://doi.org/10.1016/j.ijpe.2016.01.018.CrossRef

Lin, C.-H., Zheng, B., & Zhang, Y. (2017). Interactions and learning outcomes in online language courses. British Journal of Educational Technology, 48(3), 730–748. https://doi.org/10.1111/bjet.12457.CrossRef

Lu, J., & Churchill, D. (2014). The effect of social interaction on learning engagement in a social networking environment. Interactive Learning Environments, 22(4), 401–417. https://doi.org/10.1080/10494820.2012.680966.CrossRef

Martinez-Lopez, R., Yot, C., Tuovila, I., & Perera-Rodríguez, V. H. (2017). Online self-regulated learning questionnaire in a Russian MOOC. Computers in Human Behavior, 75, 966–974. https://doi.org/10.1016/j.chb.2017.06.015.CrossRef

Moeller, A. J., Theiler, J. M., & Wu, C. (2011). Goal setting and student achievement: A longitudinal study. The Modern Language Journal, 96(2), 153–169. https://doi.org/10.1111/j.1540-4781.2011.01231.x.CrossRef

Nebel, S., Schneider, S., Schledjewski, J., & Rey, G. D. (2017). Goal-setting in educational video games comparing goal-setting theory and the goal-free effect. Simulation and Gaming, 48(1), 98–130. https://doi.org/10.1177/1046878116680869.CrossRef

Negretti, R., & Kuteeva, M. (2011). Fostering metacognitive genre awareness in L2 academic reading and writing: A case study of pre-service English teachers. Journal of Second Language Writing, 20(2), 95–110. https://doi.org/10.1016/j.jslw.2011.02.002.CrossRef

Odaci, H. (2013). The role of computer self-efficacy, self-esteem, and subjective well-being in predicting research self-efficacy among postgraduate students. The Asia-Pacific Education Researcher, 22(4), 399–406. https://doi.org/10.1007/s40299-012-0039-8.CrossRef

Parahoo, S. K., Santally, M. I., Rajabalee, Y., & Lea, Harvey H. (2016). Designing a predictive model of student satisfaction in online learning. Journal of Marketing for Higher Education, 26(1), 1–19. https://doi.org/10.1080/08841241.2015.1083511.CrossRef

Pellas, N., & Kazanidis, I. (2014). The impact of computer self-efficacy, situational interest and academic self-concept in virtual communities of inquiry during the distance learning procedures through Second Life. World Wide Web, 17(4), 695–722. https://doi.org/10.1007/s11280-013-0266-9.CrossRef

Poortvliet, P. M., & Darnon, C. (2010). Toward a more social understanding of achievement goals, the interpersonal effects of mastery and performance goals. Current Directions in Psychological Science, 19(5), 324–328. https://doi.org/10.1177/0963721410383246.CrossRef

Puška, A., & Ejubović, A. (2016). Quality enhancement through determining the gap between the expectations and perceptions of students: EMPIRICA college case study. Proceedings of the Faculty of Economics in East Sarajevo, 12, 23–36. https://doi.org/10.7251/ZREFIS1612023P.CrossRef

Puška, A., Maksimović, A., & Stojanović, I. (2018). Improving organizational learning by sharing information through innovative supply chain in agro-food companies from Bosnia and Herzegovina. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 76–90. https://doi.org/10.31181/oresta19012010175p.CrossRef

Rahyuda, A., Syed, J., & Soltani, E. (2014). The role of relapse prevention and goal setting in training transfer enhancement. Human Resource Development Review, 13(4), 413–436. https://doi.org/10.1177/1534484314533337.CrossRef

Ratten, V. (2013). Cloud computing: A social cognitive perspective of ethics, entrepreneurship, technology marketing, computer self-efficacy and outcome expectancy on behavioural intentions. Australasian Marketing Journal, 21(3), 137–146. https://doi.org/10.1016/j.ausmj.2013.02.008.CrossRef

Richardson, J. C. (2017). Social presence in relation to students’ satisfaction and learning in the online environment: A meta-analysis. Computers in Human Behavior, 71, 402–417. https://doi.org/10.1016/j.chb.2017.02.001.CrossRef

Saleem, H., Beaudry, A., & Croteau, A.-M. (2011). Antecedents of computer self-efficacy: A study of the role of personality traits and gender. Computers in Human Behavior, 27(5), 1922–1936. https://doi.org/10.1016/j.chb.2011.04.017.CrossRef

Shen, C.-Y., & Liu, H.-C. (2011). Metacognitive skills development: A web-based approach in higher education. TOJET: The Turkish Online Journal of Educational Technology, 10(2), 140–150.

Sun, J. C.-Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191–204. https://doi.org/10.1111/j.1467-8535.2010.01157.x.CrossRef

Tsai, Y-h, Lin, C-h, Hong, J-c, & Tai, K-h. (2018). The effects of metacognition on online learning interest and continuance to learn with MOOCs. Computers and Education, 121, 18–29. https://doi.org/10.1016/j.compedu.2018.02.011.CrossRef

Ustunel, H. H., & Tokel, S. T. (2018). Distributed scaffolding: Synergy in technology-enhanced learning environments. Technology, Knowledge and Learning, 23(1), 129–160. https://doi.org/10.1007/s10758-017-9299-y.CrossRef

Van Horne, S., Curran, M., Smith, A., VanBuren, J., Zahrieh, D., Larsen, R., et al. (2018). Facilitating student success in introductory chemistry with feedback in an online platform. Technology, Knowledge and Learning, 23(1), 21–40. https://doi.org/10.1007/s10758-017-9341-0.CrossRef

Waheed, M., Kaur, K., & Kumar, S. (2016). What role does knowledge quality play in online students’ satisfaction, learning and loyalty? An empirical investigation in an e-learning context. Journal of Computer Assisted Learning, 32(6), 561–575. https://doi.org/10.1111/jcal.12153.CrossRef

Weaver, S. O. (2012). The effects of metacognitive strategies on academic achievement, metacognitive awareness, and satisfaction in an undergraduate online education course. Ph.D. dissertation. University of South Alabama.

Wilson, H. K., & Cotgrave, A. (2016). Factors that influence students’ satisfaction with their physical learning environments. Structural Survey, 34(3), 256–275. https://doi.org/10.1108/SS-01-2016-0004.CrossRef

Wu, J.-Y. (2015). University students’ motivated attention and use of regulation strategies on social media. Computers and Education, 89, 75–90. https://doi.org/10.1016/j.compedu.2015.08.016.CrossRef

Xia, B. S. (2017). An in-depth analysis of learning goals in higher education: evidence from the programming education. Journal of Learning Design, 10(2), 25–34. https://doi.org/10.5204/jld.v10i2.287.CrossRef

Zhou, Q., Lee, C. S., & Joanna Sin, S.-C. (2017). Using social media in formal learning: Investigating learning strategies and satisfaction. Proceedings of the Association for Information Science and Technology, 54(1), 472–482. https://doi.org/10.1002/pra2.2017.14505401051.CrossRef

Zohar, A., & Dori, Y. J. (2012). Introduction. In A. Zohar & Y. J. Dori (Eds.), Metacognition in science education: Trends in current research (pp. 1–19). Dordrecht: Springer.CrossRef

Titel: Students’ Satisfaction with E-learning Platforms in Bosnia and Herzegovina
verfasst von: Adis Puška
Edisa Puška
Ljiljana Dragić
Aleksandar Maksimović
Nasih Osmanović
Publikationsdatum: 23.04.2020
Verlag: Springer Netherlands
Erschienen in: Technology, Knowledge and Learning / Ausgabe 1/2021
Print ISSN: 2211-1662
Elektronische ISSN: 2211-1670
DOI: https://doi.org/10.1007/s10758-020-09446-6

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