Learning readiness when sharing knowledge while e-learning
Resumen
Past research indicates the importance of assessing the role of higher education (HE) students’ Learning Readiness’s (LR’s) two-dimensions (Self-Directed Learn- ing - SDR and Motivation for Learning - MFL) on learning behaviors (Knowledge Sharing Quality -KSQ) during e-learning in developing countries. This article is a critique of a literature review led to a conceptual framework which in turn was empirically investigated (correlation analysis, using Pearson and Spearman corre- lation), with findings shedding new contributions to knowledge, and opening new avenues for the research in progress. This deductive cross-sectional research con- firms this role via an adopted survey, data-collection from 253 Ahlia University un- dergraduate students who constantly participate in e-learning practices on Moodle. Empirical analysis of this study confirmed a positively significant relation between SDL → KSQ and, MFL → KSQ. Limitations and implications are discussed in this article. The empirical findings of this article are new contributions to knowledge, which are particularly generalizable to Ahlia University’s undergraduate business students; thus a knowledge contribution with higher education private institutions in Middle Eastern developing countries, as this study occurred in the Kingdom of Bahrain (a literate driven need for such research).Citas
Aho, J. M. et al., 2015. Mentor-Guided Self-Directed Learning Affects Resident Practice. Journal of Surgical Education, 72(4), pp. 674-679. Alshaikh, I. Y., Razzaque, A. & Alalawi, M., 2017. Positive Emotion and Social Capital affect Knowledge Sharing: Case of the Public Sector of the Kingdom of Bahrain. Coimbra, Portugal, Springer Lecture Notes in Busi- ness Information Processing volume.
Bishara, S., 2016. Creativity in unique problem-solving in mathematics and its influence on motivation for learning. Bishara, Cogent Education, Volume 3, pp. 1-14.
Blayone, T. J. B., Mykhailenko, O., vanOostveen, R. & Barber, W., 2018. Ready for digital learning? A mixed-methods exploration of surveyed technology competencies and authentic performance activity. Education and Information Technologies, Volume 23, p. 1377–1402.
Bondevik, G. T. et al., 2015. Interprofessional Workplace Learning in Pri- mary Care: Students from Different Health Professions Work in Teams in Real-Life Settings. International Journal of Teaching and Learning in Higher Education, 27(2), pp. 175-182.
Çakıroğlu, Ü., Kokoç, M., Kol, E. & Turan, E., 2016. Exploring Teaching Programming Online through Web Conferencing System: The Lens of Ac- tivity Theory. Educational Technology & Society, 19(4), p. 126–139. Chiu, C.-M., Hsu, M.-H. & Wang, E. T., 2006. Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42(3), p. 1872–1888. Costandi, , S., Hamdan, , A., Alareeni, , B. & Hassan, , A., 2018. Educa- tional governance and challenges to universities in Arabian Gulf Region. Educational philosophy and theory.
Garderen, D. v. et al., 2017. Self-Directed Learning to Improve Science Content Knowledge for Teachers. Intervention in School and Clinic, 52(4), p. 236–242.
Gay, G. H. E., 2016. An assessment of online instructor e-learning read- iness before, during, and after course delivery. Journal of Computer and Higher Education, Volume 28, p. 199–220.
Hadjichambis, A. C. et al., 2016. Investigating the Effectiveness of an In- quiry-Based Intervention on Human Reproduction in Relation to Students’ Gender, Prior Knowledge and Motivation for Learning in Biology. Journal of Biological Education, 50(3), pp. 261-274.
Hao, Y., 2016. Exploring undergraduates’ perspectives and flipped learn- ing readiness in their flipped classrooms. Computers in Human Behavior, Volume 59, p. 82e92.
Hung, M.-L., Chou, C., Chen, C.-H. & Own, Z.-Y., 2010. Learner readi- ness for online learning: Scale development and student perceptions. Com- puters & Education, Volume 55, p. 1080–1090.
Lin, H.-H., Lin, S., Yeh, C.-H. & Wang, Y.-S., 2016. Measuring mobile learning readiness: scale development and validation. Internet Research, 26(1), pp. 265-287.
Li, T. M. H. et al., 2016. Design and evaluation of a Facebook game for self-directed e-learning. Knowledge Management & E-Learning, 8(3), p. 464–480.
Rashid, T. & Asghar, H. M., 2016. Technology use, self-directed learning, student engagement and academic performance: Examining the interrela- tions. Computers in Human Behavior, Volume 63, pp. 604-612.
Rotgans, J. I. & Schmidt, H. G., 2017. The relation between individual interest and knowledge acquisition. British Educational Research Journal, 43(2), p. 350–371.
Salmi, H., Thuneberg, H. & Vainikainen, M.-P., 2016. How do engineering attitudes vary by gender and motivation? Attractiveness of outreach sci- ence exhibitions in four countries. European Journal of Engineering Edu- cation, 41(6), pp. 638-659.
Tio, R. A. et al., 2016. Weak self-directed learning skills hamper perfor- mance in cumulative assessment. Medical Teacher, Volume 38, pp. 421- 423.
Toit-Brits, C. d. & Zyl, C.-M. v., 2017. Self-directed learning characteris- tics: making learning personal, empowering and successful. Africa Educa- tion Review, 14(3-4), pp. 122-141.
van Rijn, M. B., Yang, H. & Sanders, K., 2013. Understanding employees’ informal workplace learning: The joint influence of career motivation and self-construal. Career Development International, 18(6), pp. 610-628. Vosinakis, S., Anastassakis, G. & Koutsabasis, P., 2018. Teaching and learning logic programming in virtual worlds using interactive microw- orld representations. British Journal of Educational Technology, 49(1), pp. 30-44.
Zhang, X. & Jiang, J. Y., 2015. With whom shall I share my knowledge? A recipient perspective of knowledge sharing. Journal of Knowledge Man- agement, 19(2), pp. 277-295.