Initial Perceptions of Open Higher Education Students with Learner Management Systems

Yıl 2017, Cilt: 18 Sayı: 3, 96 - 104, 01.07.2017

Asu Altunoglu

https://doi.org/10.17718/tojde.328939

Cited By: 8

Öz

Learner management systems (LMS) are used in open education as a means of managing and recording e-learning facilities as well as improving student engagement. Students benefit from them to become active participants in the decision-making process of their own learning. This study aims to investigate the initial perceptions of students experiencing the LMS for the first time in the Open Education System of Anadolu University with the purpose of identifying the effective and ineffective aspects of it from their perspective and their demands and suggestions for how to improve their the engagement in the system. To do this, an interpretive qualitative case study research design was used in order to focus on individual contexts and perceptions formed within those contexts. According to the findings, students were found to have highly personalized and customized user habits and engagement levels with the LMS depending on their varying ages, occupational statuses, IT capacities, and educational backgrounds. In terms of their satisfaction with the LMS, the quality, quantity and variety of content in LMS was found to have a major influence on their initial perceptions of satisfaction.

Anahtar Kelimeler

Learner management systems, distance education, learner satisfaction, higher education, educational change

Kaynakça

• Almarashdeh, I.A., Sahari, N., Zin, N.A.M., & Alsmadi, M. (2010). The success of learning management system among distance learners in Malaysian Universities. Journal of Theoretical and Applied Information Technology, 21(2), 80-91. Alsop, G. &Tompsett, C. (2002). Grounded Theory as an approach to studying students’ uses of learning management systems. Association for Learning Technology Journal, 10(2), 63-76. Arbaugh, J.B. (2004). Learning to learn online: A study of perceptual changes between multiple online course experiences. Internet and Higher Education, 7, 169-182. Burrell, G. & Morgan, G. (1979). Sociological paradigms and organizational analysis. London: Heinemann. Cochran, J. D., Baker, H. M., Benson, D., & Rhea, W. (2016). Business Student Perceptions of Online Learning: Using Focus Groups for Richer Understanding of Student Perspectives. Organization Management Journal, 13(3), 149-166. Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage. 103 Daley, B. J., Watkins, K., Williams, S. W., Courtenay, B., Davis, M., & Dymock, D. (2001). Exploring learning in a technology-enhanced environment. Educational Technology & Society, 4(3), 126-138. Debourgh, G. A. (1999). Technology Is the Tool, Teaching Is the Task: Student Satisfaction in Distance Learning. Paper Presented at the SITE 99: Society for Information Technology and Teacher Education International Conference, San Antonio, Texas, (ERIC no: 432226) Faux, T. L., & Black-Hughes, C. (2000). A comparison of using the Internet versus lectures to teach social work history. Research on social work practice, 10(4), 454-466. Fullan, M. (2001). The new meaning of educational change. London: Routledge/Falmer. Green, L. S., Inan, F. A., & Denton, B. (2012). Examination of Factors Impacting Student Satisfaction with a New Learning Management System. Turkish Online Journal of Distance Education, 13(3), 189-197. Hakan, A., Ozgur, A.Z., Toprak, E., Aydin, S. & Firat, M. (2014). Characteristics of Open Education students with trends related to communication and learning environments. Anadolu University Publication, No. 3074. Hesterman, S. (2016). The digital handshake: A group contract for authentic elearning in higher education. Journal of University Teaching & Learning Practice, 13(3), 6. Hughes, G. (2007). Diversity, identity and belonging in e-learning communities: Some theories and paradoxes. Teaching in higher education, 12(5-6), 709-720. Inan, F. A., Yildirim, S., & Kiraz, E. (2004). The Design and Development of an Online Learning Support System for Preservice Teachers: A Discussion of Attitudes and Utilization. Journal of Interactive Instruction Development, 17 (1). Kenny, A. (2002). Online learning: enhancing nurse education?. Journal of Advanced Nursing, 38(2), 127-135. Kress, G., & Van Leeuwen, T. (2001). Multimodal discourse: The modes and media of contemporary communication. Edward Arnold. Louwa, J., Brown, C., Muller, J.,& Soudien, C.(2009). Instructional technologies in social science instruction in South Africa. Computers & Education, 53(2). Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. (2nd Ed.)Thousand Oaks, CA & London: Sage. Moore, M. G., & Kearsley, G. (2011). Distance education: A systems view of online learning. Cengage Learning. Oliveira, P. C. D., Cunha, C. J. C. D. A., & Nakayama, M. K. (2016). Learning Management Systems (LMS) and e-learning management: an integrative review and research agenda. JISTEM-Journal of Information Systems and Technology Management, 13(2), 157-180. Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS quarterly, 401-426. 104 Potter, J. & Wetherell, M. (1987). Discourse and social psychology: Beyond attitudes and behaviour. London: Sage. Pratt, J. (2005). The fashionable adoption of online learning technologies in Australian universities. Journal of the Australian and New Zealand Academy of Management, 11(01), 57-73. Read, B., Archer, L., & Leathwood, C. (2003). Challenging cultures? Student conceptions of 'belonging' and 'isolation' at a post-1992 university. Studies in higher education, 28(3), 261-277. Schrum, L., & Hong, S. (2002). Dimensions and strategies for online success: Voices from experienced educators. Journal of Asynchronous Learning Networks, 6(1), 57-67. Strauss, A. & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory. Thousand Oaks, CA: Sage. Vazquez-Cano, E., & Garcia, M. L. S. (2015). Analysis of risks in a Learning Management System: A case study in the Spanish National University of Distance Education (UNED). Journal of New Approaches in Educational Research, 4(1), 62. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. Wang, Y. S. (2003). Assessment of learner satisfaction with asynchronous electronic learning systems. Information & Management, 41(1), 75-86.