Measuring the effectiveness of e-learning contents for active learning when deployed on mobile and web-based design interfaces using the Multi-Motive Information Systems Continuance (MISC) Model
DOI:
https://doi.org/10.17159/p548mk90Keywords:
Multi-Motive Information Systems Continuance Model (MISC), user engagement, mobile learning, web-based design, user interface design, active learningAbstract
Active learning is evolving as an interesting area of research at many higher institutions of learning, and this paper presents its practical contributions and implications for developing e-learning contents for both mobile and web-based design platforms and interfaces. With current advances and development in the best design interfaces, the literature indicates that the gaps identified in designing e-learning contents for both mobile and web-based designed platforms need serious attention. This paper looked closely at both mobile and web-based design interfaces, design principles, and online engagement in view of recommending the best approaches to promote active learning. The study followed a Design Science Research (DSR) paradigm to develop the framework to promote active learning. Following a pragmatic research paradigm, the study used one single DSR cycle in the development of the framework after reviewing and analyzing literature. The proposed framework is comprised of 10 steps, and these are supplemented with best approaches using the proposed taxonomy of major motivations for system design and use adapted from the Multi-Motive Information Systems Continuance (MISC) Model.
References
Al-Juda, M.Q.B. (2017) Distance Learning Students’ Evaluation of E-Learning System in University of Tabuk, Saudi-Arabia. Journal of Education and Learning 6(4) pp.324-335.
Athabaska, K., Aldraiweesh, A. & Alturki, T. (2016) Evaluating the Usability And Accessibility of LMS “Blackboard” At King Saud University. Contemporary Issues in Education Research 9(1) pp.33-44.
Arkorful, V. & Abaidoo, N. (2015) The role of e-learning advantages and disadvantages of its adoption in higher education. International Journal of Instructional Technology and Distance Learning 12(1) pp.29-42.
Gerow, J., Ayyagain, R. & Roth, P. & Thatcher, J. (2013) Can we have fun @ work? The role of intrinsic motivation for utilitarian systems. European Journal of Information Systems 22(2013) pp.360-380.
Badawood, A. & Steenkamp, A. (2013) A Systematic Approach to Faculty Development Towards Improved Capability in Tertiary Teaching in a Blended Learning Environment. Information Systems Education Journal 11(3) p.101.
Behera, S.K. (2013) E- and M-Learning: A Comparative Study. International Journal on New Trends in Education and Their Implications 4(3) p.65.
Bhattacherjee, A. & Premkumar, A. (2004) Understanding changes in belief and attitude toward information technology usage: A Theoretical model and longitudinal test. MIS Quarterly 28(2) pp.229-254.
Chan, S.C.H. & Stephan, K.O. (2019) Personal response systems and learning performance: The mediating role of learners’ engagement. Journal of Education for Business 94(4) pp.234-242.
Davis, F. (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3) pp.319-340.Delone, W.H. & Mclean, E.R. (2004) Measuring e-commerce success: Applying the Delone and Mclean information systems success model. International Journal of Electronic Commerce 9(1) pp.31-47.Diogo, S., Oliveira, T. & Tam, C. (2018) Exploring the Influential Factors of Continuance Intention to use mobile Apps Extending the Expectation Confirmation Model, Information Systems Frontiers 22(2) pp.1-27.
Djamasbi, S. & Strong, D. (2019) User Experience-driven Innovation in Smart and Connected Worlds, Transactions on Human-Computer Interaction 11(4) pp.215-230.
Kuechler, W. & Vaishnavi, V. (2012) A Framework for Theory Development in Design Science Research Perspectives. Journal of the Association for Information Systems 13(6) pp.395-423.
Goh, W., Hong, J.L. & Gunawan, W. (2013) Exploring students’ perceptions of learning management system: An empirical study based on TAM. Teaching, Assessment and Learning for Engineering (TALE), IEEE International Conference 1(1) pp.367-372.
Gong, X., Lee, M.K., Liu, Z. & Zheng, X. (2018) Examining the Role of Strength in Users’ Continuance Intention Generation Mobile Instant Messaging Services. Information Systems Frontiers 22(5) pp.1-22.
Ijsselsteijn, W., Ondracek, J. & Turetken, O. (2019) Influential Characteristics of Enterprise Information System User Interfaces. The Journal of Computer Information Systems 59(3) pp.25.
Kim, H.W. & Kankanhalli, A. (2009) Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective. MIS Quarterly 33(3) pp.567-582.
Kim, S. & Seo, B. (2009) The development of e-Learning Platform for Gifted Children Education. International Journal for Educational Media and Technology 3(1) pp.39-51.
Li, Y.M. & Yeh, Y.S. (2010) Increasing trust in mobile commerce through design aesthetics. Computer in Human Behavior 26(4) pp.673-684.Lionel, P.R., Bansal, G. & Lutge, C. (2020). ICIS 2019 SIGHCI Workshop Panel Report: Human-Computer Interaction Challenges and Opportunities for Fair, Trustworthy and Ethical Artificial Intelligence. AIS Transactions on Human-Computer Interaction 12(2) pp.96-108.
Livari, J. (2015) Distinguishing and contrasting two strategies for design science research. European Journal of Information Systems 24(2015) pp.107-115.
Lowry, P.B., Gaskin, J. & Moody, G. (2015) Proposing the multi-motive information systems continuance model (MISC) to better explain end-user system evaluations and continuance intentions. Journal of the Association for Information Systems 16(7) pp.515-519.
Ma, R. & Yao, X. (2017) Design of Management System of Mobile Learning Platform. Management and Engineering 29 pp.1838-5745.
Makhaya, B.K. & Ogange, B.O. (2019) The Effects of Institutional Support Factors on Lecturer Adoption of eLearning at a Conventional University. Journal of Learning for Development-JL4D 6(1) pp.64-75.
Mehdipour, Y. & Zerehkafi, H. (2013) Mobile learning for education: Benefits and challenges. International Journal of Computational Engineering Research 3(6) pp.93-101.
Moret-Bonillo, V., Mosqueira-Rey, E. & Alonso-Rios, D (2018). A Systematic and Generalizable Approach to the Heuristic Evaluation of User Interfaces. International Journal of Human-Computer Interaction 12 pp.69-1182.ittarello, F. & Pellegrini, T. (2017). HCI and education: a blended design experience. Multimedia Tools and Applications 76(4) pp.4895-4923.
Samarakou, M., Fylladitakis, E.D., Fruh, W.G., Hatziapostolou, A. & Gelegenis, J.J. (2015) An Advanced eLearning Environment Developnment for Engineering Learners. International of Emerging Technologies in Learning (iJET) 10(3) pp.22-33.
Santiago, J., de Blas, J. & Perez-Victoria, M. (2018). Effective description of general extensions of the Standard Model: the complete tree-level dictionary Journal of High Energy Physics 2018(109) pp.1-63.
Saunders, M., Lewis, P. & Thornhill, A. (2019) Research Methods for Business Students (8th ed.) Pearson Education Limited. Pitman Publishing Imprint, England.
Scarpin, J.E., Mondini, V. & Scarpin, M.R. (2018) Technology Acceptance Factors and Student Retention in Online Courses. The e-Journal of Business Education and Scholarship of Teaching 12(3) pp.44-68.
Schliesser, E. & De Lange, R. (2017) Evaluation Philosophy as Exploratory Research. Metaphilosophy 48(3) pp.228-244.
Ssekakubo, G., Suleman, H. & Marsden, G. (2013) Designing mobile LMS interfaces: Learners’ expectations and experiences. Interactive Technology and Smart Education 10(2) pp.43-53.
Shyshkanova, G., Frydman, O. & Zaytseva, T. (2017) Mobile Technologies Make Education a Part of Everyday Life. Information and Learning Science 118(11) pp.570-582.
Strohmeier, P. & Honrbaek, K. (2017) Generating Haptic Textures with a Vibrotactile Actuator. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems pp.4994-5005.Sur, E. & Yazici, Y. (2017) Design, Practice and Research: The Effects of Mobile and Web-based Learning Systems. Journal of Computer Science and Information Technology 5(1) pp.36-47.
Thomas, P., O’Brien, H. & Rowlands, T. (2016) Measuring Engagement with Online Forms. Proceeding of the 2016 ACM on Conference on Human Information Interaction and Retrieval pp. 325-328.
Tommaso, P., Chatzou, M. & Floden, E. et al. (2017) Nexflow enables reproductive computational workflows. Nat Biotechnol 35 pp. 316-319.
Venkatesh, V., Thong, J. & Xu, X. (2016) Unified Theory of Acceptance and User of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems 17(5) pp.328-378.
Vaishnavi, V. & Kuechler, W. (2015) Design Science research methods and patterns: innovating information and communication technology (2nd ed.). FL: CRC.
Venkatesh, V., Morris, M.G., Davis, G.D. & Davis, F.D. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly 27(3) pp.425-478.
Vishwakarma, A. (2015) Benefits and Challenges of Mobile Learning in Education. In J. Keengwe (Ed.) Promoting Active Learning Through the Integration of Mobile and Ubiquitous Technologies IGI: Hersey, pp.24-23.Wanas, N., Khodeir, N.A. & Elazhary, H. (2018) Generating story problems via controlled parameters in a web-based intelligent tutoring system. International Journal of Information and Learning Technology 35(3) pp.199-216.
West, D.M. (2013) Mobile learning: Transforming education, engaging students, and improving outcomes. Brookings Policy Report 9 pp.1-7.
Rijt, H.M., Swart, J.F., Wijnand, A. & Coppen, J.M. (2019) When students tackle grammatical problems: Exploring linguistic reasoning with linguistic metaconcepts in L1 grammar education. Linguistics and Education 52 pp.78-88.
Sivakumar, S.,Venkataraman, S. & Gombiro, C. (2015) A User-Intelligent adaptive Learning Model for Learning Management System using data mining and artificial intelligence. International Journal for Innovative Research in Science & Technology 1(10) pp.2349-6010.
Zhen, S. (2018) Examining the Impact Mechanism of Social psychological Motivations on Individuals Continuance of MOOCs. Internet Research 28(1) pp.232.
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