The Role of Librarian in E-learning: An Empirical Investigation
คำสำคัญ:
Content Quality, E-learning, Librarians, Service Quality, System Qualityบทคัดย่อ
This study was to investigate the role of librarians in enhancing the effectiveness of e-learning. The sample of this study was 155 UiTM students from various programs of studies. The study used a 7 Likert scale questionnaire as an instrument for data collection. The questionnaire consisted of 5 sections i.e. demographic section, role of librarian section, content quality section, service quality section, system quality section and the effectiveness of e-learning section. The data were analyzed using SmartPLS version 3.8.2. The findings showed that librarians positively influenced the effectiveness of e-learning through content quality, service quality and system quality. PLS predict was employed to analyze the power of the model using blindfolding technique. The result showed that the model has predictive relevance.
References
Agrawal, V., Agrawal, A., & Agarwal, S. (2016). Assessment of factors for e-learning: an empirical investigation. Industrial and Commercial Training, 48(8), 409-415.
Al-Busaidi, K. A. (2009). The impact of learning management system characteristics and user characteristics on the acceptance of e-learning. International Journal of Global Management Studies, 1(2), 75-91.
Ali, G. E., & Magalhaes, R. (2008). Barriers to implementing e-learning: A Kuwaiti case study. International Journal of Training and Development, 12(1), 36-53.
Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29, 530-545.
Bewick, L., & Corrall, S. (2010). Developing librarians as teachers: a study of their pedagogical knowledge. Journal of Librarianship and Information Science, 42(2), 97-110.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and Mclean model of information systems success: A ten-year update. Journal of Management Information System, 19(4), 9–30.
Farber, E. (1999). Faculty-librarian cooperation: A personal retrospective. Reference Services Review, 27(3), 229-234.
Farid, S., Ahmad, R., Niaz, I. A., Arif, M., & Shamshirband, S. (2015). Identicication and prioritization of critical issues for the promotion of e-learning in Pakistan. Computer in Human Behavior, 51, 161-171.
Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149-1160.
Ferdousi, B. J. (2009). A study of factors that affect instructors’ intention to use e-learning systems in two-year colleges (Doctoral dissertation). Available from ProQuest Dissertation and Thesis database. (UMI No. 3357474)
Fleming, J., Becker, K. L., & Newton, C. J. (2017). Factors for successful e-learning: Does age matter? Education+Training, 59(1), 76-89.
Floyd, D. M., Colvin, G., & Bodur, Y. (2008). A faculty librarian collaboration for developing Information literacy skills among preservice teachers. Teaching and Teacher Education, 24(2), 368-376.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Frank, D. G., Raschke, G. K., Wood, J., & Yang, J. Z. (2001). Information consulting: The key to success in academic libraries. Journal of Academic Librarianship, 2, 90-96.
Franklin, K. Y. (2013). Faculty/librarian interprofessional collaboration and information literacy in higher education (Doctoral dissertation). Available from ProQuest Dissertation and Thesis database. (UMI No. 3558948)
Fulton, T. L. (1985). Collaboration: Prospect or imperative? In A. Bagley (Ed.), Professors of education and education librarians: Prospects for collaboration (pp. 25-29). Minneapolis, MN: Society of Professors of Education.
Gallegos, B., & Rillero, P. (1996). Bibliographic database competencies for preservice teachers. Journal of Technology and Teacher Education, 4, 231-246.
Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles, CA: Sage.
Hair, J. F., Jr., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121.
Hamid, S., Waycott, J., Kurnia, S., & Chang, S. (2015). Understanding students' perceptions of the benefits of online social networking use for teaching and learning. The Internet and Higher Education, 26, 1–9.
Harandi, S. R. (2015). Effects of e-learning on students' motivation. Procedia-Social and Behavioral Sciences, 181, 423-430.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43, 115-135.
Islas, E., Pérez, M., Rodriguez G., Paredes, I., Ávila, I., & Mendoza, M. (2007). E-learning tools evaluation and roadmap development for an electrical utility. Journal of Theoretical and Applied Electronic Commerce Research, 2(1), 63-75.
Julien, H., & Genuis, S. K. (2011). Librarians’ experiences of the teaching role: A national survey of librarians. Library & Information Science Research, 33(2), 103-111.
Kaplan-Leiserson, E. (2000). E-learning glossary. Retrieved from http://www.learningcircuits.org/glossary.html
Kim, D. Y. (2010). The impacts of quality management practices on innovation (Doctoral thesis, Carleton University, Ottawa, Canada). Retrieved from https://curve.carleton.ca/b3125860-8972-4361-b9d7-da87d6ec3e09/
Kim, K., Trimi, S., Park, H., & Rhee, S. (2012). The impact of CMS quality on the outcomes of e-learning systems in higher education: An empirical study. Decision Sciences Journal of Innovative Education, 10(4), 575-587.
Kline, R. B. (2011). Principles and practices of structural equation modelling (2nd ed.). New York: Guilford Press.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10.
Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546-580.
Lai, J. Y. (2006). Assessment of employees’ perceptions of service quality and satisfaction with e-business. International Journal of Human-Computer Studies, 64(9), 926-938.
Laurillard, D. (1995). Multimedia and the changing experience of the learner. British Journal of Educational Technology, 26(3), 179-189.
Lee, Y. C. (2006). An empirical investigation into factors influencing the adoption of an e-learning system. Online Information Review, 30(5), 517-541.
Liaw, S. S., Huang, H. M., & Chen, G. D. (2007). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 49(4), 1066-1080.
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. Management Information Systems Quarterly, 35(2), 293-334.
Mason, R. & Rennie, F. (2007). Using web 2.0 for learning in the community. The Internet and Higher Education, 10(3), 196-203.
Ozkan, S. & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296.
Reinartz, W., Haenlein, M. & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332-344.
Ringle, C. M., Wende, S. & Becker, J. M. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved from http://www.smartpls.com
Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683-696.
Scripps-Hoekstra, L., & Hamilton, E. R. (2016). Back to the future: Prospects for education, faculty and librarian collaboration thirty years later. Education Libraries, 39(1). Retrieved from http://educationlibraries.mcgill.ca/ article/view/10
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240–253.
Thompson, A. (1985). Educators and librarians: Prospectus for partnership. In A. Bagley (Ed.), Professors of education and education librarians: Prospects for collaboration (pp. 20-24). Minneapolis, MN: Society of Professors of Education.
Thurston, C. (1985). Professors of education and education librarians: Prospects for collaboration. In A. Bagley (Ed.), Professors of education and education librarians: Prospects for collaboration (pp. 7-13). Minneapolis, MN: Society of Professors of Education.
Vassilakaki, E., & Moniarou-Papaconstantinou, V. (2014). A systematic literature review informing library and information professionals’ emerging roles. New Library World, 116(1/2), 37-66.
Wahab, S., Nor, N. A. M., & AL-Momani, K. (2010). The relationship between e-service quality and ease of use on electronic customer relationship management (E-CRM) performance: An empirical investigation in Jordan mobile phone services. 2010 International Conference on e-Education, e-Business, e-Management and e-Learning, Sanya, China, 2010, 368-372. doi:10.1109/IC4E.2010.113
