Psychological perspectives on online transactional collaborative learning: A qualitative analysis of lecturers' and undergraduates' experiences in higher education

Authors

  • Dian Veronika Sakti Kaloeti Faculty of Psychology, Universitas Diponegoro, Semarang, Indonesia
  • Kurniawan Teguh Martono Faculty of Engineering, Universitas Diponegoro, Semarang, Indonesia

DOI:

https://doi.org/10.26486/psikologi.v27i1.3954

Keywords:

Cognitive load, lectures, motivation, online transactional collaborative learning, psychological engagement undergraduate students

Abstract

This study explores how lecturers and undergraduates perceive, experience, and navigate psychological engagement, motivation, and cognitive load online Transactional Collaborative Learning (TCL), highlighting its benefits, challenges, and psychological impact on student learning experiences in higher education. The study used Focus Group Discussion (FGD) as a qualitative research method that facilitates in-depth exploration of participants’ experiences, perceptions, and attitudes regarding a particular phenomenon. The participants in this research were ten lecturers and twenty-four undergraduate students selected purposively. The study focuses on how the online TCL environment affects psychological variables related to teaching and learning.  From the results of the thematic analysis, four final themes were obtained, including 1) learning models and strategies in online TCL; 2) effective learning models in online TCL; 3) factors influencing the success of online TCL; 4) psychological impacts of online TCL. Findings show that flexible content delivery, interactive discussions, and quizzes enhance student engagement, knowledge retention, and digital literacy. However, challenges such as technological limitations and the lack of guidance and support from lecturers hinder the success of online TCL. While this approach fosters motivation, self-confidence, and adaptability, cognitive load remains a concern. Strengthening digital infrastructure and interactive teaching strategies is key to optimizing online TCL. The implication of the study is further discussed.

Keywords: Cognitive load, lectures, motivation, online transactional collaborative learning, psychological engagement undergraduate students

References

Abuhassna, H., Busalim, A., Yahaya, N., Zakaria, M., & Latif, A. (2023). Study from home! The antecedents and consequences of collaborative learning on Malaysian university students. Journal of Information Technology Education Research, 22, 71-95. https://doi.org/10.28945/5074.

Akaeze, C., & Akaeze, N. (2024). Exploring the challenges of online learning in Nigerian higher education. Frontiers of Contemporary Education. https://doi.org/10.22158/fce.v5n2p1.

Anam, A., Tara, P., Tariq, A., & Zhang, Y. (2023). Exploring the impact of online learning on student academic performance in higher education. SJESR. https://doi.org/10.36902/sjesr-vol6-iss4-2023(16-25).

Armiati, S., & Sastramihardja, H.S. (2007). Collaborative learning framework. Seminar nasional aplikasi teknologi informasi (SNATI).

Avsec, S., Šorgo, A., & Kocijančič, S. (2022). Transactional distance, self-efficacy, and motivation in online learning. Computers & Education, 187, 104571. https://doi.org/10.1016/j.compedu.2022.104571.

Banerjee, M. (2022). The digital divide and smartphone reliance for disadvantaged students in higher education. Journal of Systemics, Cybernetics and Informatics. https://doi.org/10.54808/jsci.20.03.31.

Bedenlier, S., Bond, M., Buntins, K., Zawacki-Richter, O., & Kerres, M. (2020). Facilitating student engagement through educational technology in higher education: A systematic review in arts and humanities. Australasian Journal of Educational Technology, 36(4), 126-150.

Borg, M., Butterfield, K., Wood, E., Zhang, H., & Pinto, S. (2021). Investigating the impacts of personality on the use and perceptions of online collaborative platforms in higher education. SN Social Sciences. https://doi.org/10.1007/s43545-020-00053-x.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa.

Clarke, V., & Braun, V. (2017). Thematic analysis. Journal of Positive Psychology, 12(3), 297–298.

Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.

Deci, E. L., & Ryan, R. M. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications.

Dunaway, M. K. (2011). Connectivism: Learning theory and pedagogical practice for networked information landscapes. Reference Services Review, 39(4), 675–685. https://doi.org/10.1108/00907321111186686.

Enders, N., Gaschler, R., & Kubik, V. (2021). Online quizzes with closed questions in formal assessment: How elaborate feedback can promote learning. Psychology Learning & Teaching. https://doi.org/10.1177/1475725720971205

Fabian, K., Toquero, C. M., & Meneses, J. (2022). Cognitive load and online learning: A systematic review. Education and Information Technologies, 27(5), 6755-6779. https://doi.org/10.1007/s10639-022-10931-z

Farid, H., Siddiqui, T. A., Sukhia, R. H., Hasan, S. J., Naveed, A., & Pasha, L. (2022). Imperceptible learners: Students' reasons for keeping webcams off and strategies to address students' challenges. Journal of Education and Health Promotion, 11, 325. https://doi.org/10.4103/jehp.jehp_1836_21.

Fokomogbon, M.A., & Bolaji, H.O. (2017). Effects of Collaborative Learning Styles on Performance Students in a Ubiquitous Collaborative Mobile Learning Environment. Contemporary Educational Technology, 8(3), 268-279.

Francisco, C., Pedrera, J., & Madalina, M. (2024). Lived experiences of university students with limited internet connectivity in online distance learning. Journal of Interdisciplinary Perspectives. https://doi.org/10.69569/jip.2024.0412.

Gan, Z., An, Z., & Liu, F. (2021). Teacher feedback practices, student feedback motivation, and feedback behavior: How are they associated with learning outcomes? Frontiers in Psychology, 12, 697045. https://doi.org/10.3389/fpsyg.2021.697045.

Garrison, D. R., & Archer, W. (2000). A transactional perspective on teaching and learning: A framework for adult and higher education. Advances in Learning and Instruction Series. Elsevier Science,

Han, S., Lim, D., & Jung, E. (2021). A collaborative active learning model as a vehicle for online team learning in higher education. Research Anthology on Developing Effective Online Learning Courses. https://doi.org/10.4018/978-1-5225-5557-5.CH003.

Hongsuchon, T.; Emary, I.M.M.E.; Hariguna, T.; Qhal, E.M.A. (2022). Assessing the impact of online- ---learning effectiveness and benefits in knowledge management, the antecedent of online-learning strategies and motivations: An empirical study. Sustainability, 14, 2570. https://doi.org/ 10.3390/su14052570

Huda, N.M., & Imro’ah, N. (2021). The psychological impact (positive and negative) and behavioral changes in online learning on students using factor analysis. Jurnal Pendidikan Unsika (9), 125-148.

Huddar, S. M., Chavarkar, S. P., & Patil, B. U. (2023). Impacts of online education learning. Journal of Advanced Zoology, 44, 183–187.

Hung, D., Lee, S. S., & Lim, K. Y. T. (2008). Leveraging online communities in fostering adaptive schools: A case study. International Journal of Computer-Supported Collaborative Learning, 3(4), 373–386. https://doi.org/10.1007/s11412-008-9052-3.

Janssen, J., & Kirschner, P. (2020). Applying collaborative cognitive load theory to computer-supported collaborative learning: Towards a research agenda. Educational Technology Research and Development, 68, 783 - 805. https://doi.org/10.1007/s11423-019-09729-5.

Kasch, J., Schutjens, V. A. J. M., Bootsma, M. C., Van Dam, F. W., Kirkels, A. F., van der Molen, M. K., Rimac, A., & Rebel, K. T. (2023). Distance and presence in interdisciplinary online learning: A challenge-based learning course on sustainable cities of the future. Journal of Integrative Environmental Sciences, 20(1), 2185261. https://doi.org/10.1080/1943815X.2023.2185261

Krueger, R. A., & Casey, M. A. (2015). Focus groups: A practical guide for applied research (5th ed.). SAGE Publications.

Kurni, M., & Saritha, K. (2021). Applying collaborative learning to enhance the teaching-learning process in online learning through social media. International Journal of Early Childhood Special Education, 13(2), 188–194. https://doi.org/10.9756/INT-JECSE/V13I2.211051.

Lan, C., Sheng, M., Hsu, Y., & Shiue, Y. (2019). Influence of online and face-to-face collaboration and learning style on cognitive load and engagement in a health introductory course. Proceedings of the 3rd International Conference on Medical and Health Informatics. https://doi.org/10.1145/3340037.3340069.

Law, Q. P. S., So, H. C. F., & Chung, J. W. Y. (2017). Effect of collaborative learning on enhancing students' self-efficacy, social skills, and knowledge towards mobile app development. American Journal of Educational Research, 5(1), 25-29.

Magd, H., & Jonathan, H. (2023). Limitations and challenges of online teaching at higher education institutions in Oman. International Journal of Information and Education Technology. https://doi.org/10.18178/ijiet.2023.13.5.1875.

Roselan, F., Zakariah, Z., Razak, N., Ismail, J., & Rahman, R. (2024). Assessing the relationship between student learning experiences and academic performances in higher education through online learning platforms. International Journal of Research and Innovation in Social Science. https://doi.org/10.47772/ijriss.2024.8080319.

Saputra, N., Tuti, R., & Putra, O. (2022). Fostering learning engagement in online learning: the effect of collaborative learning and personal perseverance. Studies in Educational Management. https://doi.org/10.32038/sem.2022.11.03.

Schunk, D. H., & DiBenedetto, M. K. (2021). Motivation and social cognitive theory. Contemporary Educational Psychology, 66, Article 101957. https://doi.org/10.1016/j.cedpsych.2021.10195.

Sedlak, M., Sedlakova, M., & Nemcova, Z. (2022). Collaborative immersive virtual learning: Effects on cognitive engagement and cognitive load. Computers & Education, 191, 104646. https://doi.org/10.1016/j.compedu.2022.104646

Xiao, Q., & Li, X (2021). Exploring the antecedents of online learning satisfaction: Role of flow and comparison between use of contexts. International Journal of Computers Communications and Control, 16(6). https://doi.org/10.15837/ijccc.2021.6.4398

Xu, D., Jaggars, S.S. (2013). The impact of online learning on students' course outcome: Evidence from a large community and technical college system. Economics of Education Review, (37). 46-57. https://doi.org/10.1016/j.econedurev.2013.08.001.

Yang, X., Yunus, M., & Rafiq, K. (2024). Digital collaborative learning in higher education: A systematic review. International Journal of Academic Research in Progressive Education and Development. https://doi.org/10.6007/ijarped/v13-i1/20697.

Yeung, M., Yau, A., & Lee, C. (2022). How should webcams be used in online learning under COVID-19: A co-orientation analysis of teachers' and students' perceptions of student social presence on webcam. Journal of Computer Assisted Learning., 39, 399-416. https://doi.org/10.1111/jcal.12751.

Zhang, L., Wang, X., He, T., & Han, Z. (2022). A data-driven optimized mechanism for improving online collaborative learning: Taking cognitive load into account—International Journal of Environmental Research and Public Health, 19. https://doi.org/10.3390/ijerph19126984.

Zhao, X., Smith, J., & Lee, K. (2021). Collaborative learning and student self-confidence: The role of supportive environments. Journal of Educational Psychology, 113(4), 789–805. https://doi.org/10.1037/edu0000635.

Zhu, G., Teo, C., Scardamalia, M., Badron, M., Martin, K., Raman, P., Hewitt, J., Teo, T., Tan, A., Ng, D., Nazeem, R., Donoahue, Z., Lai, Z., L., & Woodruff, E. (2020). Emotional and cognitive affordances of collaborative learning environments. Computer-Supported Collaborative Learning Conference, CSCL, 1(February), 382–389. https://doi.org/10.22318/ICLS2020.382.

Zilka, G., Finkelstein, I., Cohen, R., & Rahimi, I. (2021). Implications of the digital divide for the learning process during the COVID-19 crisis. Review of European Studies, 13, 57. https://doi.org/10.5539/RES.V13N2P57.

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Published

2025-02-28

How to Cite

Kaloeti, D. V. S., & Martono, K. T. (2025). Psychological perspectives on online transactional collaborative learning: A qualitative analysis of lecturers’ and undergraduates’ experiences in higher education . Insight: Jurnal Ilmiah Psikologi, 27(1), 127–141. https://doi.org/10.26486/psikologi.v27i1.3954