ABSTRACT
The automated way of learning and interacting with students bids a lot of advantages that can be accomplished through different system. Among them, the most popular approach is the use of a learning management system. Canvas, the world's most reliable LMS is a platform being introduced in universities of the Philippines. This research aims to examine the experiences of instructors towards usage of Canvas according to the UTAUT (Unified Theory of Acceptance and Use of Technology) model. A total of 130 instructors teaching different courses and are exposed to the use of CANVAS participated in this study. An adopted and modified set of questionnaire based on UTAUT used to collect data which is then descriptively analyzed using SmartPLS 3. Results of this study encourage teachers to maximize the use of technology. Significant results and information were also obtained for administrators, instructors and students on how to improve effective usage of the system.
- Ayodele, S. O., Oga, O. E., Bundot, Y. G., & Ogbari, M. E. (2016, October). Role of power supply towards e-learning acceptance: VBSEM-AMOS. In 2016-6th International Conference on Information Communication and Management (ICICM) (pp. 151--155) IEEEGoogle Scholar
- Beldarrain, Y. (2006). Distance education trends: Integrating new technologies to foster student interaction and collaboration. Distance education, 27(2), 139--153Google Scholar
- Hackett, P. T., Lemoine, P. A., & Richardson, M. D. (2017) Impact of technology ambiguity on leadership in global higher education. In Encyclopedia of strategic leadership and management (pp. 270--281) IGI GlobalGoogle ScholarCross Ref
- Oluyinka, S & Anatalia E (2019) Technology integration readiness of instructors and learners in tertiary education ISJ Theoretical & Applied Science 2 (70), 179--188Google Scholar
- Ayodele, S., Endozo, A., & Ogbari, M. E. (2018, October) A study on factors hindering online learning acceptance in developing countries; In Proceedings of the 10th International Conference on Education Technology and Computers (pp. 254--258) ACMGoogle Scholar
- Collins, A., & Halverson, R. (2018) Rethinking education in the age of technology: The digital revolution and schooling in America. Teachers College PressGoogle Scholar
- Fathema, N., Shannon, D., & Ross, M. (2015) Expanding the Technology Acceptance Model (TAM) to examine faculty use of Learning Management Systems (LMSs) in higher education institutions. Journal of Online Learning & Teaching, 11(2)Google Scholar
- Lacey, C., Gunter, G., & Reeves, J. L. (2014) Mobile technology integration: Shared experiences from three initiatives. Distance Learning, 11(1)Google Scholar
- Nielson, B (2017) Learning Management System Basics (LMS) Retrieved from www.elearninglearning.com/learning-management-systemGoogle Scholar
- Solomon, Oluyinka and Alina, S. and Eta, W. and Ajagbe, Akintunde M. (2014) Internet Banking Adoption in Nigeria: A Literature Review. In: 2014 International Conference on Computer, Intelligent Computing and Education Technology, March 28th, 2014, Hong Kong. Indexed by Taylor & Francis Group, EI Compendex, ISI (CPCI, ISTP)Google Scholar
- Rabah, K. (2017). The Future of Higher Educational Institutions HEIs) in the Era of eLearning Mara Research Journal of Information Science and Technology-ISSN: 2518--8844, 1(1), 78--133Google Scholar
- Chaubey, A., & Bhattacharya, B (2015) Learning Management system in Higher education; International Journal of Science Technology & Engineering, 2(3)Google Scholar
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425--478Google ScholarDigital Library
- Abu-Al-Aish, A., & Love, S. (2013). Factors influencing students' acceptance of m-learning: An investigation in higher education. The International Review of Research in Open and Distributed Learning, 14(5)Google Scholar
- Šumak, B., Polancic, G., & Hericko, M. (2010, February) An empirical study of virtual learning environment adoption using UTAUT. In 2010 Second international conference on mobile, hybrid, and on-line learning (pp. 17--22) IEEEGoogle Scholar
- Ifenthaler, D., & Schweinbenz, V. (2016) Student's acceptance of tablet pc in the classroom; Journal of Research on Technology in Education, 48(4), 306--321Google Scholar
- Raman, A., Don, Y., Khalid, R., & Rizuan, M. (2014) Usage of learning management system (Moodle) among the postgraduate students: A study UTAUT model Asian Social Science, 10(14), 186Google ScholarCross Ref
- Venkaiah, V., Garimella, P., & Koneru, I. (2018) Student Guide to Effective Learning Using Information and Communication TechnologiesGoogle Scholar
- Tosuntaş, Ş. B., Karadağ, E., & Orhan, S. (2015). The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology. Computers & Education, 81, 169--178Google ScholarDigital Library
- Pardamean, B., & Susanto, M. (2012) Assessing user acceptance toward blog technology using the UTAUT model. International Journal of Mathematics and Computers in Simulation, 1(6), 203--212Google Scholar
- Wong, K. T., Teo, T., & Russo, S. (2013) Interactive whiteboard acceptance: Applicability of the UTAUT model to student teachers. The Asia-Pacific Education Researcher, 22(1), 1--10Google ScholarCross Ref
- Dumpit, D. Z., & Fernandez, C. J. (2017) Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model. International Journal of Educational Technology in Higher Education, 14(1), 5Google ScholarCross Ref
- Oluyinka, S., Shamsuddin, A., & Wahab, E. (2015). Regions of Trust to Technological Know-how Structured for Banking Customers. Asian Journal of Applied Sciences, 3(4)Google Scholar
- Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the academy of marketing science, 40(3), 414--433Google ScholarCross Ref
- Oluyinka, S., Shamsuddin, A., Ajagbe, M. A., & Enegbuma, W. I. (2013). A study of electronic commerce adoption factors in Nigeria. IJISCM, 6(4), 293--315Google ScholarDigital Library
- Sheridan, J., Coakes, L.S. & Peta, D. (2006) SPSS 13.0 for Windows; Analysis without anguish. National Library of AustraliaGoogle Scholar
- Heale, R., & Twycross, A. (2015) Validity and reliability in quantitative studies. Evidence-based nursing, 18(3), 66--67Google Scholar
- Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017) Mirror, mirror on the wall: Comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616--632Google ScholarCross Ref
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115--135Google ScholarDigital Library
- Kline, R. B. (2015) Principles and practice of structural equation modeling. Guilford publicationsGoogle Scholar
- El-Gayar, O., Moran, M., & Hawkes, M. (2011). Students' acceptance of tablet PCs and implications for educational institutions. Journal of Educational Technology & Society, 14(2), 58--70.Google Scholar
- Endozo, & Solomon, O. A. (2019). Teachers'perceptions in enhancing the performance of low-skilled students. Theoretical & applied science, (2), 244--251Google Scholar
- Oluyinka, S., & Endozo, A. N. (2019). Barriers to e-learning in developing countries: a comparative study. Journal of Theoretical and Applied Information Technology, 97(9).Google Scholar
- Endozo, a. N. (2019). Structuring the quadratic effect of motivation towards mental tasks performance among university students. Journal of theoretical and applied information technology, 97(13).Google Scholar
Index Terms
- Teachers' Experiences towards Usage of Learning Management System: CANVAS
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