PERCEPTION OF FORCED DISTANCE LEARNING BY IT STUDENTS: THE INFLUENCE OF GENDER AND JUNGIAN PERSONALITY TYPES

Authors

  • Diana Zagulova Baltic International Academy (LV)
  • Natalya Prokofyeva Riga Technical University (LV)
  • Viktorija Ziborova Riga Technical University (LV)
  • Anastasija Špakova Riga Technical University (LV)

DOI:

https://doi.org/10.17770/sie2021vol5.6274

Keywords:

distance learning, Jungian typology, learning styles, Myers-Briggs Type Indicator

Abstract

Learning in a pandemic situation has shown an increased role and need for research and implementation of personalized learning, and therefore the factors necessary to take into account when forming such an approach. The purpose of this study was, firstly, to find out how students of technical specialties perceive the fact to refuse from classroom studies, and, secondly, to determine the influence of person’s individual characteristics on attitude towards distance learning. The research results showed that a significant part of full-time IT students (about 70%) reacted positively to the advantages of distance learning and that the attitude towards this form of education is to some extent determined by gender, as well as a manifestation of Introversion-Extraversion and Thinking-Feeling.

References

Augustinavichjute, A. (1995). Kommentarij k tipologii Junga i vvedenie v informacionnyj metabolizm. Psihologija i socionika mezhlichnostnyh otnoshenij, 1, 26-33. Retrieved from: http://socionic.info/pdf/aa-p103.pdf

Briggs, S. P., Copeland, S., & Haynes, D. (2007). Accountants for the 21st century, where are you? A five-year study of accounting students’ personality preferences. Critical Perspectives on Accounting, 18(5), 511-537. DOI: https://doi.org/10.1371/journal.pone.0212844.t004

Brown, L. D., Cai, T. T., & DasGupta, A. (2019). Interval estimation for a binomial proportion. Statistical science, 16(2), 101–133. DOI: https://doi.org/10.1214/ss/1009213286

Carland, J.C., & Carland, J.W. (1990). Cognitive Styles and the Education of Computer Information Systems Students. Journal of research on computing in education, 23, 114-126.

Dewar, T., & Whittington, D. (2000). Online learners and their learning strategies. Journal of Educational, Computing Research, 23(4), 385- 403.

Durling, D., Cross, N., & Johnson, J. (1996). Personality and learning preferences of students in design and design-related disciplines. Loughborough University.

Felder, R., & Silverman, L. (1988). Learning and Teaching Styles in Engineering Education. Engineering Education, 78(7), 674-684.

Furnham, A., Jackson, C. J., & Miller, T. (1999). Personality, learning style and work performance. Personality and Individual Differences, 27(6), 1113–1122. DOI: https://doi.org/10.1016/S0191-8869(99)00053-7

Graf, S. (2007). Adaptivity in learning management systems focusing on learning styles. P.H.D’s thesis. Institute for Software Technology and Interactive Systems, Faculty of Informatics, Vienna University of Technology.

Graf, S., Liu, T.-C., & Kinshuk. (2010). Analysis of learners' navigational behaviour and their learning styles in an online course. Journal of Computer Assisted Learning, 26, 116-131. DOI: https://doi.org/10.1111/j.1365-2729.2009.00336.x

Guild, P. B., & Garger, S. (1985). Marching to different drummers. Alexandria, VA: Association for Supervision and Curriculum Development. Retrieved from: https://files.eric.ed.gov/fulltext/ED269839.pdf

Hewett, B. L, & Martini, R.H. (2018). Educating Online Writing Instructors Using the Jungian Personality Types. Computers and Composition, 47, 34-58.

Jung, C. G. (2014). Psychological types. Routledge.

Kang, Y.S. (2020). High School Students' Mathematics Learning Style and Its Characteristics According to Their MBTI Personality Disposition Types. Communications of Mathematical Education, 34(3), 299-324. DOI: https://doi.org/10.7468/jksmee.2020.34.3.299

King, S. P., & Mason, B. A. (2020). Myers Briggs Type Indicator. In B. J. Carducci & C. S. Nave (Eds.), Wiley encyclopedia of personality and individual differences: Vol. II. Measurement and assessment. Hoboken, NJ: John Wiley & Sons. Retrieved from: https://online.vitalsource.com/#/books/9781119793922/epubcfi/6/116%5B%3Bvnd.vst.idref%3DAc123%5D!/4/2/2/2/6%400:0

Lima, A. C. E., & de Castro, L. N. (2019). TECLA: A temperament and psychological type prediction framework from Twitter data. Plos one, 14(3), e0212844. DOI: https://doi.org/10.1371/journal.pone.0212844

Myers, I. B., McCaullev, M. H., Quenk, N. L., & Hammer, A. L. (1998). MBTI manual: A guide to the development and use of the Myers-Briggs Type Indicator, 3rd Edition. Palo Alto, CA: Consulting Psychologists Press.

Myers, I. B., & Myers, P. B. (2002). Gifts differing: Understanding personality type. Palo Alto, CA: Davies-Black Pub.

O'Brien, T.P., Bernold, L.E., & Akroyd, D. (1998). Myers-Briggs type indicator and academic achievement in engineering education. International Journal of Engineering Education, 14(5), 311-315.

Ramachandran, V., Loya, A., Shah, K. P., Goyal, S., Hansoti, E. A., & Caruso, A. C. (2020). Myers-briggs Type indicator in medical Education: a narrative review and analysis. Health Professions Education, 6(1), 31-46.

Shen, S. T., Prior, S. D., White, A. S., & Karamanoglu, M. (2007). Using personality type differences to form engineering design teams. Engineering education, 2(2), 54-66. DOI: https://doi.org/10.11120/ened.2007.02020054

Zagulova, D., Boltunova, V., Katalnikova, S., Prokofyeva, N., & Synytsya, K. (2019). Personalized E-Learning: Relation Between Felder– Silverman Model and Academic Performance. Applied Computer Systems, 24(1), 25-31. DOI: https://doi.org/10.2478/acss-2019-0004

Zagulova, D., Shirjaeva, L., Gunare, M. L., & Averin, A.V. (2020). Personificirovannoe obuchenie: vzaimosvjaz' otnoshenija k distancionnomu obucheniju s psihotipami MBTI. Sovremennye obrazovatel'nye Web-tehnologii v realizacii lichnostnogo potenciala obuchajushhihsja, 220-225.

Downloads

Published

2021-05-28

How to Cite

Zagulova, D., Prokofyeva, N., Ziborova, V., & Špakova, A. (2021). PERCEPTION OF FORCED DISTANCE LEARNING BY IT STUDENTS: THE INFLUENCE OF GENDER AND JUNGIAN PERSONALITY TYPES. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference, 5, 268-279. https://doi.org/10.17770/sie2021vol5.6274