Research Article

Perceptions regarding Distance Learning in Higher Education, Smoothing the Transition

Ardita Todri 1 * , Petraq Papajorgji 2 , Howard Moskowitz 3 , Francesco Scalera 4
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1 Faculty of Economics, University of Elbasan “Aleksandër Xhuvani”, Albania2 Faculty of Engineering, Canadian Institute of Technology, Albania3 Mind Genomics Associates, USA4 Faculty of Economics, University of Bari “Aldo Moro”, Italy* Corresponding Author
Contemporary Educational Technology, 13(1), January 2021, ep287, https://doi.org/10.30935/cedtech/9274
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ABSTRACT

This paper presents the perceptions on distance learning approaches, assessed through an online survey, using experimental design of ideas (Mind Genomics). Students and professors of higher education institutions who had not yet experienced distance learning before COVID-19 pandemic period participated in the study. The participants belong to the universities located in Mediterranean basin, e.g., Albania, Italy, Morocco, Algeria and few African countries.
Results suggest that distance learning will shift many of the responsibilities formerly on the professors to those of the students. The data suggests the need for emotional support during this transition, specifically to maintain interaction among students and professor as well as among students themselves in distance learning platforms as in traditional classrooms. The study shows that the effectiveness and the interactivity of this new paradigm are very important and any further developments of distance learning should provide strong support for these components. The position of the professor is indispensable as the guide to the entire process, suggesting that at least at the time of this writing (2020) distance learning approach is perceived only to be an intermittent complementary path to in-person interactions.

CITATION (APA)

Todri, A., Papajorgji, P., Moskowitz, H., & Scalera, F. (2021). Perceptions regarding Distance Learning in Higher Education, Smoothing the Transition. Contemporary Educational Technology, 13(1), ep287. https://doi.org/10.30935/cedtech/9274

REFERENCES

  1. Al-Daboubi, A. F. (2014). The Impact of social networking sites on applied science university students. International Journal of Humanities and Social Science, 4(10), 251-267. Retrieved from https://www.ijhssnet.com/journals/Vol_4_No_10_1_August_2014/28.pdf
  2. Alhih, M., Ossiannilsson, E., & Berigel, M. (2017). Levels of interaction provided by online distance education Models. Eurasia Journal of Mathematics, Science & Technology Education, 13(6), 2733-2748. https://doi.org/10.12973/eurasia.2017.01250a
  3. Azevedo, R. (2005b). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist, 40, 199-209. https://doi.org/10.1207/s15326985ep4004_2
  4. Baer, J. (2014). Creativity and divergent thinking: A task-specific approach. Psychology Press.
  5. Baishya, D., & Maheshwari, S. (2019). WhatsApp Groups in Academic Context: Exploring the Academic Uses of WhatsApp Groups among the Students. Contemporary Educational Technology, 11(1), 55-70. https://doi.org/10.30935/cet.641765
  6. Benedek, M., Jauk, E., Sommer, M., Arendasy, M., & Neubauer, A. C. (2014). Intelligence, creativity, and cognitive control: The common and differential involvement of executive functions in intelligence and creativity. Intelligence, 46, 73-83. https://doi.org/10.1016/j.intell.2014.05.007
  7. Bennett, S., Lockyer, L., & Agostinho, Sh. (2018). Towards sustainable technology‐enhanced innovation in higher education: Advancing learning design by understanding and supporting teacher design practice. British Journal of Educational Technology, 49(6), 1014-1026. https://doi.org/10.1111/bjet.12683
  8. Birch, D., & Burnett, B. (2009). Bringing academics on board: encouraging institution-wide diffusion of e-learning environments. Australasian Journal of Educational Technology, 25(1), 117-134. https://doi.org/10.14742/ajet.1184
  9. Brown, P. C., Roediger, H. L., & McDaniel. M. A. (2014). Make it stick: The science of successful learning. Cambridge, MA: Harvard University Press. https://doi.org/10.1080/00220671.2015.1053373
  10. Coymak, A. (2019). An Experimental Study of the Effect of Computer Assisted Learning on Metacognitive Performance Development in Psychology Teaching. Contemporary Educational Technology, 10(1), 94-105. https://doi.org/10.30935/cet.512539
  11. Ertmer, P. A. (2005). Teacher pedagogical beliefs: The final frontier in our quest for technology integration? Educational Technology Research and Development, 53(4), 25-39. https://doi.org/10.1007/BF02504683
  12. Gabay, G., Zemel, R., Gere, A., Zemel, R., Papajorgji, P., & Moskowitz, H. (2018). On the Threshold: What Concerns Healthy People about the Prospect of Cancer? Cancer Studies and Therapeutics, Research Open, 3(4). Retrieved on 28 March 2020 from https://www.researchgate.net/publication/330534911_On_the_Threshold_What_Concerns_Healthy_People_about_the_Prospect_of_Cancer
  13. Gere, A., Papajorgji, P., Moskowitz, H. R., & Milutinovic, V. (2019). Using a Rule Developing Experimentation Approach to Study Social Problems: The Case of Corruption in Education. International Journal of Political Activism and Engagement (IJPAE), 6(3), 23-48. https://doi.org/10.4018/IJPAE.2019070103
  14. Gere, A., Zemel, R., Papajorgji, P., Sciacca, A., Kaminskaia, J., Onufrey, S., & Moskowitz, H. (2018). Customer Requirements for Natural Food Stores - The Mind of the Shopper. Nutrition Research and Food Science Journal, 1(1). Retrieved from https://researchopenworld.com/customer-requirements-for-natural-food-stores-the-mind-of-the-shopper/
  15. Gofman, A. (2011). Rule Developing Experimentation in Consumer‐Driven Package Design. https://doi.org/10.1002/9780470400531.eorms1036
  16. Gofman, A., & Moskowitz, H. (2010). Isomorphic permuted experimental designs and their application in conjoint analysis. Journal of sensory studies, 25(1), 127-145. https://doi.org/10.1111/j.1745-459X.2009.00258.x
  17. Grosseck, G., Bran, R., & Tiru, L. (2011). Dear teacher, what should I write on my wall? A case study on academic uses of Facebook. Procedia Social and Behavioral Sciences, 15, 1425-1430. https://doi:10.1016/j.sbspro.2011.03.306
  18. Gutierrez - Santuste, E. Gallego - Arrufat, M.G. & Simone, A. 2016. Barriers in computer-mediated communication: typology and evolution over time. Journal of E-learning and Knowledge Management, 12(1),107-119. https://doi.org/10.20368/1971-8829/953
  19. Hart, J. (2014). Social learning handbook 2014. Centre for Learning & Performance Technologies.
  20. Jariang Pcasert, N. (2003). The opinion of faculty of business administration lectures and students ,Chiang Mai University about the use of E- Learning. Songklanakarin J of Social Sciences & Humanities, 9(2), 136-145.
  21. Jossberger, H., Brand-Gruwel, S., Boshuizen, H., & Van De Wiel, M. (2010). The challenge of self-directed and self-regulated learning in vocational education: A theoretical analysis and synthesis of requirements. Journal of Vocational Education and Training, 62(4), 415-440. http://doi.org/10.1080/13636820.2010.523479
  22. Kahneman, D. (2011). Thinking, fast and slow. Macmillan.
  23. Koehler, M., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)?. Contemporary issues in technology and teacher education, 9(1), 60-70. Retrieved from https://tecfalabs.unige.ch/mitic/articles/koehler_mishra_2009_what_is_technological_pedagogical_content_knowledge.pdf
  24. Kornbluh, A. (2020). Academe’s Coronavirus Shock Doctrine. In: The Chronicle of Higher Education, 12. Retrieved from https://www.chronicle.com/article/Academe-s-Coronavirus-Shock/248238
  25. Litchfield, A., Dyson, L. E., Lawrence, E., & Zmijewska, A. (2007). Directions for m-learning research to enhance active learning. ASCILITE 2007-The Australasian Society for Computers in Learning in Tertiary Education, 587-596. Retrieved from https://www.ascilite.org/conferences/singapore07/procs/litchfield.pdf
  26. Lossin, R. H., & Battle, A. (2020). Resisting Distance Learning. In: Higher Education in the Age of Coronavirus. Retrieved from http://bostonreview.net
  27. Milutinovic, V., & Salom, J. (2016). Mind Genomics: A Guide to Data-Driven Marketing Strategy. Springer.
  28. Mohamed, K., & Sumitha, E. (2011). Perception and use of Social Networking Sites by the students of Calicut University. DESIDOC Journal of Library and Information Technology, 31(4), 295-301. https://doi.org/10.14429/djlit.31.4.1109
  29. Moro, C., Štromberga, Z., Raikos, A., & Stirling, A. (2017). The effectiveness of virtual and augmented reality in health sciences and medical anatomy. Anatomical sciences education, 10(6), 549-559. https://doi.org/10.1002/ase.1696
  30. Moskowitz, H. R., Gofman, A., Beckley, J., & Ashman, H. (2006). Founding a new science: Mind genomics. Journal of sensory studies, 21(3), 266-307. https://doi.org/10.1111/j.1745-459X.2004.00066.x
  31. Mucherino, A., Papajorgji, P., & Pardalos, P. M. (2009). Data mining in agriculture (Vol. 34). Springer Science & Business Media. https://doi.org/10.1007/978-0-387-88615-2
  32. Nedelman, C.A. (2013). Exploring organizational and cultural barriers to developing distance learning programs in higher education (PhD Thesis). North Central University. Retrieved from https://search.proquest.com/openview/a004ead5846591dd5dd3f25594cb090c/1?pq-origsite=gscholar&cbl=18750&diss=y
  33. Online Learning Statistics. (2019). Retrieved on 3 April 2020 from https://skillscouter.com/online-learning-statistics/
  34. Ossiannilsson, E. (2012). Benchmarking e-learning in higher education: lessons learned from international projects. Juvenes Print.
  35. Ossiannilsson, E., Williams, K., Camilleri, A. F., & Brown, M. (2015). Quality models in online and open education around the globe. State of the art and recommendations. Oslo: International Council for Open and Distance Education. Retrieved from https://www.pedocs.de/volltexte/2015/10879/pdf/Ossiannilsson_et_al_2015_Qualitymodels.pdf
  36. Robinson, K. (2009). The element: How finding your passion changes everything. Penguin.
  37. Ruleman, A. B. (2012). Social media at the university: A demographic comparison. New Library World, 113(7/8), 316-332. https://doi.org/10.1108/03074801211244940
  38. Saks, K., & Ä. Leijen, Ä. (2014). Distinguishing Self-Directed and Self-Regulated Learning and Measuring them in the E-learning Context. Procedia - Social and Behavioral Sciences, 112, 190-198. http://doi.org/10.1016/j.sbspro.2014.01.1155
  39. Saulo, A. A., Moskowitz, H. R., Gere, A., Papajorgji, P., Ettinger Lieberman, L., & Feuerwerker, D. (2019). Linking Food Endorsement Labels & Messaging to Perceived Price and Emotions. A Mind Genomics® Exploration. Advances in Nutrition and Food Science, ANAFS-152. Retrieved from https://kosmospublishers.com/linking-food-endorsement-labels-messaging-to-perceived-price-and-emotions-a-mind-genomics-exploration/
  40. Schmidt, D., Baran, E., & Thompson, A. (2009). Technological pedagogical content knowledge (TPACK): the development and validation of an assessment instrument for preservice teachers. Journal of Research on Technology in Education, 42(3), 123-149. https://doi.org/10.1080/15391523.2009.10782544
  41. Schwarz, B. B., & Asterhan, C. S. (2011). E-moderation of synchronous discussions in educational settings: A nascent practice. Journal of the Learning Sciences, 20(3), 395-442. https://doi.org/10.1080/10508406.2011.553257
  42. Simonson, M., & Schlosser, L. A. (2009). Distance Education 3rd Edition: Definition and Glossary of Terms. IAP.
  43. Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2007). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & education, 50(4), 1183-1202. https://doi.org/10.1016/j.compedu.2006.11.007
  44. Tekkol, İ. A., & Demirel, M. (2018). An investigation of self-directed learning skills of undergraduate students. Frontiers in psychology, 9, 2324. https://doi.org/10.3389/fpsyg.2018.02324.
  45. Toplak, M. E., West, R. F., & Stanovich, K. E. (2012). Education for rational thought. In J. R. Kirby & M. J. Lawson (Eds.), Enhancing the quality of learning: Dispositions, instruction, and learning processes (p. 51-92). Cambridge University Press. https://doi.org/10.1017/CBO9781139048224.006
  46. Tulving, E. (1983). Ecphoric processes in episodic memory. Philosophical Transactions of the Royal Society of London. B, Biological Sciences, 302(1110), 361-371. https://doi.org/10.1098/rstb.1983.0060
  47. Tulving, E. (2002). Episodic memory: From mind to brain. Annual review of psychology, 53(1), 1-25. https://doi//10.1146/annurev.psych.53.100901.135114
  48. Zemel, R., Choudhuri, S. G., Gere, A., Upreti, H., Deite, Y., Papajorgji, P., & Moskowitz, H. (2019). Mind, Consumers, and Dairy: Applying Artificial Intelligence, Mind Genomics, and Predictive Viewpoint Typing. In Current Issues and Challenges in the Dairy Industry. IntechOpen. https://doi.org/10.5772/intecopen.85532