Abstract
The use of a virtual learning environment is increasingly gaining popularity with universities among students and instructors. VLEs is said to increase flexibility and promote independent learning. However, the pedagogical effects and the contribution of instructors in student’s experience of cognitive active learning in these online classrooms is worth investigating. This paper seeks to explore the disparity between students and the instructor’s perception of cognitive active learning experience in a VLE. Consequently, this paper utilizes a phenomenological constructivism approach by using interviews and questionnaires as the primary method of data collection. The results show that instructors believe students are often not intrinsically motivated and consequently do not automatically experience deep learning in the VLE without the appropriate instructional support. The instructor must stimulate deep thinking with a well-formed and probing questions or comments which promotes critical thinking and knowledge transference. This highlights the disconnect between the two instructors and learners in the expectations, attitude towards learning, and the learning environment.
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Angelino, L. M., Williams, F. K., & Natvig, D. (2007). Strategies to engage online students and reduce attrition rates. Journal of Educators Online, 4(2), n2.
Annansingh, F., & Howell, K. (2016). Using Phenomenological Constructivism (PC) to discuss a mixed method approach in information systems research. The Electronic Journal of Business Research Methods, 14(1), 39–49 Available at www.ejbrm.com. Accessed 20 Sept 2018
Asikainen, H., & Gijbels, D. (2017). Do students develop towards more deep approaches to learning during studies? A systematic review on the development of students’ deep and surface approaches to learning in higher education. Educational Psychology Review, 29(2), 205–234.
Banfield, J., & Wilkerson, B. (2014). Increasing student intrinsic motivation and self-efficacy through gamification pedagogy. Contemporary Issues in Education Research, 7(4), 291–298.
Becta. (2005). Virtual learning environments, Available at http://www.iadt.ie/vle/whatisvle/section2.htm.
Bell, E., Bryman, A., & Harley, B. (2018). Business research methods. Oxford: Oxford university press.
Biggs, J. B. (1993). From theory to practice: A cognitive systems approach. Higher Education Research and Development, 12(1), 73–86.
Biggs, J. B. (2003). Teaching for quality learning at university: What the student does (2nd ed.). Buckingham: Open University Press.
Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn (Vol. 11). Washington, DC: National academy press.
Cavanaugh, M. A., Boswell, W. R., Roehling, M. V., & Boudreau, J. W. (2000). An empirical examination of self-reported work stress among US managers. Journal of Applied Psychology, 85(1), 65–74.
Cercone, K. (2008). Characteristics of adult learners with implications for online learning design. AACE Journal, 16(2), 137–159.
Chapman, C., Ramondt, L., & Smiley, G. (2005). Strong community, deep learning: Exploring the link. Innovations in Education and Teaching International, 42(3), 217–230.
Chou, S. W., & Liu, C. H. (2005). Learning effectiveness in a Web-based virtual learning environment: A learner control perspective. Journal of Computer Assisted Learning, 21(1), 65–76.
Coffey, A., & Atkinson, P. (1996). Making sense of qualitative data: Complementary research strategies. Michigan: Sage Publications, Inc.
Cole, M. (2009). Using wiki technology to support student engagement: Lessons from the trenches. Computers & Education, 52(1), 141–146.
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks: Sage Publications, Inc.
Creswell, J. W., & Miller, D. L. (2000). Determining validity in qualitative inquiry. Theory Into Practice, 39(3), 124–130.
D’Mello, S., Lehman, B., Sullins, J., Daigle, R., Combs, R., Vogt, K., Perkins, L., & Graesser, A. (2010). A time for emoting: When affect-sensitivity is and isn’t effective at promoting deep learning. In Intelligent tutoring systems (pp. 245–254). Berlin/Heidelberg: Springer.
Dabbagh, N. (2003). Scaffolding: An important teacher competency in online learning. TechTrends, 47(2), 39–44.
Demian and Morrice. (2012). The use of virtual learning environments and their impact on academic performance. Engineering Education, 7(1), 11–19.
Dolmans, D., Loyens, S., Marcq, H., & Gijbels, D. (2016). Deep and surface learning in problem-based learning: A review of the literature. Advances in Health Science Education, 21(5), 1087–1112. https://doi.org/10.1007/s10459-015-9645-6.
Driscoll, M., & Carliner, S. (2005). Advanced web-based training strategies. San Francisco: Pfeiffer.
Du, J., & Xu, J. (2010). The quality of online discussion reported by graduate students. Quarterly Review of Distance Education, 11(1), 13.
Entwistle, N. (2003). Promoting deep learning through teaching and assessment: Conceptual frameworks and educational contexts. ESRC Teaching and Learning Research Programme, First Annual Conference Leicester.
Fink, L. D. (2013). Creating significant learning experiences: An integrated approach to designing college courses. San Francisco: John Wiley & Sons.
Garrison, D. R., Anderson, T., & Archer W. (2000). Critical inquiry in a text-based environment: Computer Conferencing in Higher Education Internet and Higher Education, 11(2), pp. 1–14 (Retrieved August 15, 2018, from http://communitiesofinquiry.com/documents/CTinTextEnvFinal.pdf).
Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is not enough. The American Journal of Distance Education, 19(3), 133–148.
Hall, M., Ramsay, A., & Raven, J. (2004). Changing the learning environment to promote deep learning approaches in first-year accounting students. Accounting Education, 13(4), 489–505.
Hara, N., & Kling, R. (2000). Students' distress with a web-based distance education course: An ethnographic study of participants' experiences. Information, Communications Society, 3, 557–579. https://doi.org/10.1080/13691180010002297.
Higgins, R., Hartley, P., & Skelton, A. (2002). The conscientious consumer: Reconsidering the role of assessment feedback in student learning. Studies in Higher Education, 27(1), 53–64.
Hoskins, S. L., & Van Hooff, J. C. (2005). Motivation and ability: Which students use online learning and what influence does it have on their achievement? British Journal of Educational Technology, 36(2), 177–192.
Jain, P. (2015). Virtual learning environment. International Journal in IT & Engineering, 3(5), 75–84.
Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed methods research. Journal of Mixed Methods Research, 1(2), 112–133.
Ke, F., & Xie, K. (2009). Toward deep learning for adult students in online courses. The Internet and Higher Education, 12(3), 136–145.
Mahoney, S., & Schamber, J. (2011). Integrative and deep learning through a learning community: A process view of self. The Journal of General Education, 60(4), 234–247.
Majeski, R., & Stover, M. (2007). Theoretically based pedagogical strategies leading to deep learning in asynchronous online gerontology courses. Educational Gerontology, 33(3), 171–185.
McComas, W. F. (2014). Virtual learning environment. In the language of science education (pp. 110-110). Rotterdam: SensePublishers.
Mimirinis, M., & Bhattacharya, M. (2007). Design of virtual learning environments for deep learning. Journal of Interactive Learning Research, 18(1), 55–64.
Molnár, G. (2013). Challenges and opportunities in virtual and electronic learning environments. IEEE 11th international symposium on intelligent systems and informatics.
Muntean, C.I. (2011). Raising engagement in e-learning through gamification. In Proc. 6th international conference on virtual learning ICVL (Vol. 1).
Park, Y. J., & Bonk, C. J. (2007). Synchronous learning experiences: Distance and residential learners’ perspectives in a blended graduate course. Journal of Interactive Online Learning, 6(3), 245–264.
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, 25(4), 401–426.
Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407.
Platow, M. J., Mavor, K. I., & Grace, D. M. (2013). On the role of discipline-related self-concept in deep and surface approaches to learning among university students. Instructional Science, 41(2), 271–285.
Postareff, L., Parpala, A., & Lindblom-Ylänne, S. (2015). Factors contributing to changes in a deep approach to learning in different learning environments. Learning Environments Research, 18, 1–19. https://doi.org/10.1007/s10984-015-9186-1.
Prosser, M., & Trigwell, K. (1999). Understanding learning and teaching: The experience in higher education. London: Open University Press.
Ramsden, P. (2003). Learning to teach in higher education. New York: Routledge.
Reinhardt, M. M. (2010). The use of deep learning strategies in online business courses to impact student retention. American Journal of Business Education, 3(12), 49.
Riley, S. K. L. (2008). Teaching in virtual worlds: Opportunities and challenges. Setting Knowledge Free: The Journal of Issues in Informing Science and Information Technology, 5(5), 127–135.
Rushton, A. (2005). Formative assessment: A key to deep learning? Medical Teacher, 27(6), 509–513.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54–67.
Scouller, K. (1998). The influence of assessment method on students' learning approaches: Multiple choice question examination versus assignment essay. Higher Education, 35(4), 453–472.
Silverman, D. (Ed.). (2016). Qualitative research. Thousand Oaks, CA: Sage.
Smart, K., & Cappel, J. (2006). Students’ perceptions of online learning: A comparative study. Journal of Information Technology Education: Research, 5(1), 201–219.
Smith, T. W., & Colby, S. A. (2007). Teaching for deep learning. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 80(5), 205–210.
Teddlie, C., & Tashakkori, A. (2009). Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. Thousand Oaks: Sage.
Thornhill, A., Saunders., Lewis, P. (2009). Research methods for business students. London: Pearson Education.
Turner, M., & Baskerville, R. (2013). The experience of deep learning by accounting students. Accounting Education, 22(6), 582–604.
Tyler, J., and Zurick, A. (2014). Synchronous versus asynchronous learning-is there a measurable difference? Proceedings of the 2014 Institute for Behavioral and Applied Management Conference, IBAM22. Orlando, FL, October 9-11, 2014, 52.
Van Raaij, E. M., & Schepers, J. J. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50(3), 838–852.
Warden, C. A., Stanworth, J. O., Ren, J. B., & Warden, A. R. (2013). Synchronous learning best practices: An action research study. Computers & Education, 63, 197–207.
Wildemuth, B. M. (Ed.). (2016). Applications of social research methods to questions in information and library science. California: ABC-CLIO.
Yamagata-Lynch, L. C. (2014). Blending online asynchronous and synchronous learning. The International Review of Research in Open and Distributed Learning, 15(2), 189–212.
Young, S. (2006). Student views of effective online teaching in higher education. American Journal of Distance Education, 20(2), 65–77. https://doi.org/10.1207/s15389286ajde2002_2.
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Annansingh, F. Mind the gap: Cognitive active learning in virtual learning environment perception of instructors and students. Educ Inf Technol 24, 3669–3688 (2019). https://doi.org/10.1007/s10639-019-09949-5
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DOI: https://doi.org/10.1007/s10639-019-09949-5