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Investigating the role of accepting learning management system on students’ engagement and sense of community in blended learning

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Abstract

The purpose of this study was to investigate the structural relationships between university students’ acceptance of a learning management system (LMS), sense of community and engagement in a blended learning (BL) environment. This study was conducted in an introductory computer course with students who participated in a Moodle learning community that was constituted for the BL course. Three self-report instruments were employed to gather data from 168 university students studying at a public university. The path analysis with structural equation modeling (SEM) confirmed that students’ LMS acceptance was related to their sense of community and engagement in BL. The findings revealed that students’ LMS acceptance significantly and positively affected their sense of community and engagement in BL. Moreover, perceived usefulness and perceived ease of use of LMS were uncovered as influential factors in increasing their sense of community and engagement. The findings of the study imply that instructors should ensure students’ acceptance of LMS to establish learning communities in which they have opportunities for collaborative, interactive and engaging learning activities in the delivery of BL.

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References

  • Asiri, M. J., Mahmud, R., Bakar, K. A., Ayub, B. M., & AF. (2012). Factors influencing the use of learning management system in Saudi Arabian higher education: A theoretical framework. Higher Education Studies, 2(2), 125–137. https://doi.org/10.5539/hes.v2n2p125

    Article  Google Scholar 

  • Baytiyeh, H. (2016). Perceptions of professors and students towards moodle: A case study. In L. Tomei (Ed.), Exploring the new era of technology-infused education (pp. 206–229). IGI Global.

    Google Scholar 

  • Bellah, R. N., Madsen, R., Sullivan, W. M., Swidler, A., & Tipton, S. M. (1985). Habits of the heart: Individualism and commitment in American life. Harper & Row.

    Google Scholar 

  • Benta, D., Bologa, G., & Dzitac, I. (2014). E-learning platforms in higher education case study. Procedia Computer Science, 31(1), 1170–1176. https://doi.org/10.1016/j.procs.2014.05.373

    Article  Google Scholar 

  • Carini, R. M., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning: Testing the linkages. Research in Higher Education, 47(1), 1–32. https://doi.org/10.1007/s11162-005-8150-9

    Article  Google Scholar 

  • Cavus, N. (2013). Selecting a learning management system (LMS) in developing countries: Instructors’ evaluation. Interactive Learning Environments, 21(5), 419–437. https://doi.org/10.1080/10494820.2011.584321

    Article  Google Scholar 

  • Cheng, Y. M. (2011). Antecedents and consequences of e-learning acceptance. Information Systems Journal, 21(3), 269–299. https://doi.org/10.1111/j.1365-2575.2010.00356.x

    Article  Google Scholar 

  • Chou, A. Y., & Chou, D. C. (2011). Course management systems and blended learning: An innovative learning approach. Decision Sciences Journal of Innovative Education, 9(3), 463–484. https://doi.org/10.1111/j.1540-4609.2011.00325.x

    Article  Google Scholar 

  • Choy, J. L. F., & Quek, C. L. (2016). Modelling relationships between students’ academic achievement and community of inquiry in an online learning environment for a blended course. Australasian Journal of Educational Technology, 32(4), 106–124. https://doi.org/10.14742/ajet.2500

    Article  Google Scholar 

  • Chyr, W. L., Shen, P. D., Chiang, Y. C., Lin, J. B., & Tsai, C. W. (2017). Exploring the effects of online academic help-seeking and flipped learning on improving students’ learning. Journal of Educational Technology & Society, 20(3), 11–23. http://www.jstor.org/stable/26196116

  • Cigdem, H., & Topcu, A. (2015). Predictors of instructors’ behavioral intention to use learning management system: A Turkish vocational college example. Computers in Human Behavior, 52, 22–28. https://doi.org/10.1016/j.chb.2015.05.049

    Article  Google Scholar 

  • Cokluk, O., Sekercioglu, G., & Buyukozturk, S. (2018). Sosyalbilimlericincokdegiskenliistatistik SPSS veLisreluygulamalari [Multivariate statistics in social sciences: SPSS and Lisrel application] (5th ed.). PegemAkademi.

    Google Scholar 

  • Creswell, J. W. (2008). A concise introduction to mixed methods research. SAGE publications.

  • 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(4), 661–685. https://doi.org/10.1007/s10639-012-9192-1

    Article  Google Scholar 

  • Czerkawski, B. C., & Lyman, E. W. (2016). An instructional design framework for fostering student engagement in online learning environments. TechTrends, 60(6), 532–539. https://doi.org/10.1007/s11528-016-0110-z

    Article  Google Scholar 

  • Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

    Article  Google Scholar 

  • Doo, M. Y., & Bonk, C. J. (2020). The effects of self-efficacy, self-regulation and social presence on learning engagement in a large university class using flipped Learning. Journal of Computer Assisted Learning, 36(6), 997–1010. https://doi.org/10.1111/jcal.12455

    Article  Google Scholar 

  • Dutta, A., Roy, R., & Seetharaman, P. (2013). Course management system adoption and usage: A process theoretic perspective. Computers in Human Behavior, 29(6), 2535–2545. https://doi.org/10.1016/j.chb.2013.06.010

    Article  Google Scholar 

  • Ergün, E., & Usluel, Y. (2015). The Turkish adaptation of student’s engagements scale in online learning environment: a study of validity and reliability. Educational Technology Theory and Practice, 5(1), 20–33. https://dergipark.org.tr/tr/pub/tojde/issue/16899/176119

  • Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059

    Article  Google Scholar 

  • Garcia, M. B. (2017). E-learning technology adoption in the philippines: An investigation of factors affecting filipino college students’ acceptance of learning management systems. The International Journal of E-Learning and Educational Technologies in the Digital Media, 3(3), 118–130. https://doi.org/10.17781/P002374

    Article  Google Scholar 

  • Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7, 95–105. https://doi.org/10.1016/j.iheduc.2004.02.001

    Article  Google Scholar 

  • Gokcearslan, S. (2013). Developing a scale for the sense of community in online learning: A validity and reliability study. Turkish Librarianship, 27(1), 154–165.

    Google Scholar 

  • Graham, C., & Dziuban, C. (2008). Blended learning environments. In J. Spector, M. Merrill, J. Merrienboer, & M. Driscoll (Eds.), Handbook of Research on Educational Communications and Technology (3rd ed., pp. 269–274). Taylor & Francis Group.

    Google Scholar 

  • Graham, R. G. (2006). Definition, current trends and future directions. In C. J. Bonk & C. Graham (Eds.), The handbook of blended learning: Global perspectives, local designs (pp. 3–21). Pfeiffer Publications.

    Google Scholar 

  • Haar, M. (2018). Increasing sense of community in higher education nutrition courses using technology. Journal of Nutrition Education and Behavior, 50(1), 96–99. https://doi.org/10.1016/j.jneb.2017.04.015

    Article  Google Scholar 

  • Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis with reading (5th ed.). Prentice Hall.

    Google Scholar 

  • Hamid, M. A., Salleh, S., & Laxman, K. (2020). A study on the factors influencing students' acceptance of learning management systems (lms): a brunei case study. International Journal of Technology in Education and Science, 4(3), 203–217. https://doi.org/10.46328/ijtes.v4i3.101

  • Hew, K. F., & Cheung, W. S. (2014). Using blended learning: Evidence-based practices. Springer.

    Book  Google Scholar 

  • Holley, D., & Oliver, M. (2010). Student engagement and blended learning: Portraits of risk. Computers & Education, 54(3), 693–700. https://doi.org/10.1016/j.compedu.2009.08.035

    Article  Google Scholar 

  • Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining modelfit. The Electronic Journal of Business Research Methods, 6(1), 53–60.

    Google Scholar 

  • Hoque, R., Ashraf, M., Ali, M. A., & Hasan, R. (2015). Understanding the usability of course management systems (CMS) in developing countries: An empirical analysis. International Journal of Information Communication Technologies and Human Development, 7(3), 27–35. https://doi.org/10.4018/IJICTHD.2015070103

    Article  Google Scholar 

  • Horzum, M. B., & CananGungoren, O. (2012). A model for beliefs, tool acceptance levels and web pedagogical content knowledge of science and technology preservice teachers towards web based instruction. Turkish Online Journal of Distance Education, 13(3), 50–69.

    Google Scholar 

  • Hu, S., & Kuh, G. D. (2002). Being (dis) engaged in educationally purposeful activities: The influences of student and institutional characteristics. Research in higher education, 43(5), 555–575.

    Article  Google Scholar 

  • Ilgaz, H. (2008). The contribution of technology acceptance and community feeling to learner satisfaction in distance education. Doctoral Dissertation, Hacettepe University

  • Jokinen, P., & Mikkonen, I. (2013). Teachers’ experiences of teaching in a blended learning environment. Nurse Education in Practice, 13, 524–528. https://doi.org/10.1016/j.nepr.2013.03.014

    Article  Google Scholar 

  • Kabassi, K., Dragonas, I., Ntouzevits, A., Pomonis, T., Papastathopoulos, G., & Vozaitis, Y. (2016). Evaluating a learning management system for blended learning in Greek higher education. SpringerPlus, 5(1), 1–12. https://doi.org/10.1186/s40064-016-1705-8

    Article  Google Scholar 

  • Keskin, S., & Yurdugül, H. (2020). Factors affecting students’ preferences for online and blended learning: Motivational vs. cognitive. European Journal of Open, Distance and E-learning, 22(2), 72–86. https://doi.org/10.2478/eurodl-2019-0011

  • Lei, H., Cui, Y., & Zhou, W. (2018). Relationships between student engagement and academic achievement: A meta-analysis. Social Behavior and Personality: An International Journal, 46(3), 517–528. https://doi.org/10.2224/sbp.7054

    Article  Google Scholar 

  • Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers & Education, 58(1), 88–99. https://doi.org/10.1016/j.compedu.2011.07.008

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Lwoga, E. (2014). Critical success factors for adoption of web-based learning management systems in Tanzania. International Journal of Education and Development Using Information and Communication Technology, 10(1), 4–21. https://www.learntechlib.org/p/147447/

  • Mamonov, S., Koufaris, M., & Benbunan-Fich, R. (2016). The role of the sense of community in the sustainability of social network sites. International Journal of Electronic Commerce, 20(4), 470–498. https://doi.org/10.1080/10864415.2016.1171974

    Article  Google Scholar 

  • Martinho, M., Almeida, P. A., & Teixeira-Dias, J. (2014). Fostering students questioning through Moodle: Does it work? Procedia-Social and Behavioral Sciences, 116, 2537–2542. https://doi.org/10.1016/j.sbspro.2014.01.607

    Article  Google Scholar 

  • McKeachie, W. J., & Svinicki, M. (2014). McKeachie’s teaching tips: Strategies, research, and theory for college and university teachers (14th ed.). Wadsworth, Cengage Learning.

    Google Scholar 

  • Miles, J., & Shevlin, M. (2007). A time and a place for incremental fit indices. Personality and Individual Differences, 42(5), 869–874.

    Article  Google Scholar 

  • Naveh, G., Tubin, D., & Pliskin, N. (2012). Student satisfaction with learning management systems: a lens of critical success factors. Technology, Pedagogy and Education, 21(3), 337–350. https://doi.org/10.1080/1475939X.2012.720413

    Article  Google Scholar 

  • Nistor, N., Daxecker, I., Stanciu, D., & Diekamp, O. (2015). Sense of community in academic communities of practice: Predictors and effects. Higher Education, 69(2), 257–273. https://doi.org/10.1007/s10734-014-9773-6

    Article  Google Scholar 

  • Noroozi, O., Weinberger, A., Biemans, H. J., Mulder, M., & Chizari, M. (2012). Argumentation-based computer-supported collaborative learning (ABCSCL): A synthesis of 15 years of research. Educational Research Review, 7(2), 79–106. https://doi.org/10.1016/j.edurev.2011.11.006

    Article  Google Scholar 

  • Oliphant, T., & Branch-Mueller, J. (2016). Developing a sense of community and the online student experience. Education for Information, 32(4), 307–321. https://doi.org/10.3233/EFI-160979

    Article  Google Scholar 

  • Osguthorpe, R. T., & Graham, C. R. (2003). Blended learning environments: Definitions and directions. Quarterly Review of Distance Education, 4(3), 227–233.

    Google Scholar 

  • Öztürk, E. (2009). Adaptation of the classroom community index: The validity and reliability study. Hacettepe University Journal of Education, 36, 193–202.

    Google Scholar 

  • Pallant, J. (2001). SPSS: survival manual. McPherson.

    Google Scholar 

  • Picciano, A. G., Dziuban, C., & Graham, C. R. (2014). Blended learning: Research perspectives (Vol. 2). Routledge.

    Google Scholar 

  • Rajabalee, Y. B., & Santally, M. I. (2020). Learner satisfaction, engagement and performances in an online module: Implications for institutional e-learning policy. Education and Information Technologies. https://doi.org/10.1007/s10639-020-10375-1

    Article  Google Scholar 

  • Raman, A., Don, Y., Khalid, R., & Rizuan, M. (2014). Usage of learning management system (Moodle) among postgraduate students: UTAUT Model. Asian Social Science, 10(14), 186–192. https://doi.org/10.5539/ass.v10n14p186

    Article  Google Scholar 

  • Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers & Education, 144, 103701.

    Article  Google Scholar 

  • Rootzén, H. (2006). Learning objects and blended learning: an example of a continuing education course. International Conference on Teaching Statistics. Salvador, Bahia, Brezilya.

  • Rovai, A. P. (2002). Development of an instrument to measure classroom community. The Internet and Higher education, 5(3), 197–211.

    Article  Google Scholar 

  • Rovai, A. P., & Ponton, M. K. (2005). An examination of sense of classroom community and learning among African American and Caucasian graduate students. Journal of Asynchronous Learning Networks, 9(3), 77–92.

    Google Scholar 

  • Salisbury, L. E. (2018). Just a tool: Instructors’ attitudes and use of course management systems for online writing instruction. Computers and Composition, 48, 1–17. https://doi.org/10.1016/j.compcom.2018.03.004

    Article  Google Scholar 

  • Sezer, B., & Yilmaz, R. (2019). Learning management system acceptance scale (LMSAS): A validity and reliability study. Australasian Journal of Educational Technology, 35(3), 15–30. https://doi.org/10.14742/ajet.3959

    Article  Google Scholar 

  • Shackelford, J. L., & Maxwell, M. (2012). Sense of community in graduate online education: Contribution of learner to learner interaction. International Review of Research in Open and Distributed Learning, 13(4), 228–249. https://doi.org/10.19173/irrodl.v13i4.1339

    Article  Google Scholar 

  • Sharif, A., Afshan, S., & Qureshi, M. A. (2019). Acceptance of learning management system in university students: An integrating framework of modified UTAUT2 and TTF theories. International Journal of Technology Enhanced Learning, 11(2), 201–229. https://doi.org/10.1504/IJTEL.2018.10017608

    Article  Google Scholar 

  • Shea, P. (2006). A study of students’ sense of learning community in online environments. Journal of Asynchronous Learning Networks, 10(1), 35–44.

    Google Scholar 

  • Skinner, E. A., Zimmer-Gembeck, M. J., & Connell, J. P. (1998). Individual differences and the development of perceived control. Monographs of the Society for Research in Child Development, 63 (Serial no. 254).

  • 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

    Article  Google Scholar 

  • Sun, Z., Liu, R., Luo, L., Wu, M., & Shi, C. (2017). Exploring collaborative learning effect in blended learning environments. Journal of Computer Assisted Learning, 33(6), 575–587. https://doi.org/10.1111/jcal.12201

    Article  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Allyn and Bacon.

    Google Scholar 

  • Tang, J. (2013). The research on blended learning of ESL based on moodle platform. Studies in Literature and Language, 6(2), 30–34. https://doi.org/10.3968/j.sll.1923156320130602.3612.

  • Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. American Psychological Association.

    Book  Google Scholar 

  • Tondeur, J., van Braak, J., Siddiq, F., & Scherer, R. (2016). Time for a new approach to prepare future teachers for educational technology use: Its meaning and measurement. Computers & Education, 94, 134–150. https://doi.org/10.1016/j.compedu.2015.11.009

    Article  Google Scholar 

  • Torrisi-Steele, G., & Drew, S. (2013). The literature landscape of blended learning in higher education: The need for better understanding of academic blended practice. International Journal for Academic Development, 18(4), 371–383. https://doi.org/10.1080/1360144X.2013.786720

    Article  Google Scholar 

  • Trespalacios, J., & Perkins, R. (2016). Sense of community, perceived learning, and achievement relationships in an online graduate course. Turkish Online Journal of Distance Education, 17(3), 31–49.

    Google Scholar 

  • Üstün, A. B. (2011). Böte öğretim elemanlarının harmanlanmış öğrenme ortamlarında verilen dersler hakkındaki görüşleri. Master's Thesis, Gazi University

  • Ustun, A. B. (2018). Moving toward blended learning: A multiple case design based research study in higher education. Doctoral Dissertation, Wayne State University, Detroit, MI, Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1973/.

  • Ustun, A. B. (2019). Effects of Mobile Learning in Blended Learning Environments. BilgiveİletişimTeknolojileriDergisi, 1(1), 1–14.

    Google Scholar 

  • Ustun, A. B., & Tracey, M. W. (2020). An effective way of designing blended learning: A three phase design-based research approach. Education and Information Technologies, 25, 1529–1552. https://doi.org/10.1007/s10639-019-09999-9

    Article  Google Scholar 

  • Van Laer, S., & Elen, J. (2017). In search of attributes that support self-regulation in blended learning environments. Education and Information Technologies, 22(4), 1395–1454. https://doi.org/10.1007/s10639-016-9505-x

    Article  Google Scholar 

  • Vaughan, N. (2014). Student engagement and blended learning: Making the assessment connection. Education Sciences, 4(4), 247–264. https://doi.org/10.3390/educsci4040247

    Article  Google Scholar 

  • Wang, S. K. (2008). The effects of a synchronous communication tool (yahoo messenger) on online learners’ sense of community and their multimedia authoring skills. Journal of Interactive Online Learning, 7(1), 59–74.

    Google Scholar 

  • Wu, J. H., Tennyson, R. D., & Hsia, T. L. (2010). A study of student satisfaction in a blended e-learning system environment. Computers & Education, 55(1), 155–164. https://doi.org/10.1016/j.compedu.2009.12.012

    Article  Google Scholar 

  • Yilmaz, R. (2016). Knowledge sharing behaviors in e-learning community: Exploring the role of academic self-efficacy and sense of community. Computers in Human Behavior, 63, 373–382. https://doi.org/10.1016/j.chb.2016.05.055

    Article  Google Scholar 

  • Yueh, P. H., & Hsu, S. (2008). Designing a learning management system to support instruction. Communication of the ACM, 51(4), 59–63. https://doi.org/10.1145/1330311.1330324

    Article  Google Scholar 

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  1. Information Systems and Technologies, Bartın University, Bartın, Turkey

    Ahmet Berk Ustun, Fatma Gizem Karaoglan Yilmaz & Ramazan Yilmaz

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Ustun, A.B., Karaoglan Yilmaz, F.G. & Yilmaz, R. Investigating the role of accepting learning management system on students’ engagement and sense of community in blended learning. Educ Inf Technol 26, 4751–4769 (2021). https://doi.org/10.1007/s10639-021-10500-8

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