Exploring the Role of Problem-based Learning in Fostering the Epistemological Beliefs of Psychology Students: A One-Group Pretest–Posttest Study

Authors

  • Ahmed Rasheed. S M Department of Psychology, Faculty of Social Science, Indira Gandhi National Tribal University, Amarkantak-484887, Madhya Pradesh, India, India https://orcid.org/0000-0003-0163-5430
  • Lalit Kumar Mishra Department of Psychology, Faculty of Social Science, Indira Gandhi National Tribal University, Amarkantak-484887, Madhya Pradesh, India, India https://orcid.org/0000-0002-1929-5027
  • Gyanesh Kumar Tiwari Department of Psychology, School of Humanities & Social Sciences, Doctor Harisingh Gour Vishwavidyalaya, Sagar, 470003, Madhya Pradesh, India, India http://orcid.org/0000-0002-6880-940X

DOI:

https://doi.org/10.47679/jopp.8314772026

Keywords:

Artificial Intelligence, Epistemological Beliefs, Ill-structured problem, Problem-based learning

Abstract

Psychology students must acquire sophisticated epistemological beliefs when engaging with evolving, ill-structured problems. The fast-paced progress in Artificial Intelligence (AI) and its psychological influence on human lives is one such ill-structured problem. This study examined the impact of problem-based learning (PBL) on epistemological beliefs by comparing pre-test and post-test scores acquired via the Epistemological Belief Inventory (EBI). Data were gathered from a convenience sample of 29 psychology students at a central university in the Indian state of Madhya Pradesh. A paired-samples t-test was employed to compare the pre-test and post-test mean values, and retrospective semi-structured interviews were conducted after the PBL intervention to supplement and corroborate the EBI results. The paired samples t-test indicated that there was a significant improvement in epistemological beliefs from pre-test (M = 115.7, SD = 14.7) to post-test (M = 67.9, SD = 9.5), following the PBL implementation, t(28) = 15.3, p < .001. The findings suggest that when students engage with complex, unstructured topics like AI and its psychological ramifications, PBL significantly strengthens their epistemological beliefs. The pedagogical value of PBL is highlighted by its capacity to promote more complex ways of knowing and reasoning.

Author Biographies

Ahmed Rasheed. S M, Department of Psychology, Faculty of Social Science, Indira Gandhi National Tribal University, Amarkantak-484887, Madhya Pradesh, India

Ahmed Rasheed S. M. is currently working as an Assistant Professor at the Department of Psychology, Kuniya College of Arts and Science, Kuniya, Kasaragod, Kerala, India. With publications in fields like internet addiction and cognition, his scholarly work focuses on psychological research in higher education and student mental health. He is actively involved in psychology research, teaching, and scholarly contributions.

Lalit Kumar Mishra, Department of Psychology, Faculty of Social Science, Indira Gandhi National Tribal University, Amarkantak-484887, Madhya Pradesh, India

Dr. Lalit Kumar Mishra is Professor and the Head, Department of Psychology, Faculty of Social Science at the Indira Gandhi National Tribal University in Amarkantak, Madhya Pradesh, India. His areas of expertise are statistics, organizational behaviour, and research methodology. With more than 15 years of teaching and research experience, he has greatly advanced psychology education and research in India by mentoring doctoral and postgraduate scholars and making substantial contributions through publications, scale development, and counselling services.

Gyanesh Kumar Tiwari, Department of Psychology, School of Humanities &amp; Social Sciences, Doctor Harisingh Gour Vishwavidyalaya, Sagar, 470003, Madhya Pradesh, India

Dr. Gyanesh Kumar Tiwari is an Associate Professor in the Department of Psychology, School of Human and Environmental Sciences, Manipur University, Imphal, Manipur, India. His research interests include forgiveness, body image, self-affirmation, self-compassion, metacognition, eyewitness memory, women's psychology, and mental health. In addition to actively supervising doctoral research and leading several interdisciplinary research projects with colleagues, research scholars, and Master's students in various psychological fields, he has a long list of publications.

References

Abdalla, M. E., & Gaffar, A. M. (2011). The seven steps of PBL implementation: Tutor’s manual Edited by Mohamed Elhassan Abdalla and Abdelrahim Mutwakel Gaffar (Blueprints in Health Profession Education Series). Blueprints In Health Profession Education.

Abrams, Z. (2021). The promise and challenges of AI. Vol. 52 No. 8 APA. https://www.apa.org/monitor/2021/11/cover-artificial-intelligence

Bazarkina, D. Y., & Pashentsev, E. N. (2019). Artificial intelligence and new threats to international psychological security. Russia in Global Affairs, 17(1), 147–170. https://doi.org/10.31278/1810-6374-2019-17-1-147-170

Belland, B., Gu, J., Kim, N. J., Turner, D., & Weiss, D. (2019). Exploring epistemological approaches and beliefs of middle school students in problem-based learning. The Journal of Educational Research, 112, 1–13. https://doi.org/10.1080/00220671.2019.1650701

Bendixen, L. D., Schraw, G., & Dunkle, M. E. (1998). Epistemic Beliefs and Moral Reasoning. The Journal of Psychology, 132(2), 187–200. https://doi.org/10.1080/00223989809599158

Boretti, A. (2026). Hallucinations in generative AI: A threat to scholarly integrity and the urgent need for publisher-led academically supervised verification. Energy Research & Social Science, 136, 1–8. https://doi.org/10.1016/j.erss.2026.104720

Britt, M. A., Richter, T., & Rouet, J.-F. (2014). Scientific Literacy: The Role of Goal-Directed Reading and Evaluation in Understanding Scientific Information. Educational Psychologist, 49(2), 104–122. https://doi.org/10.1080/00461520.2014.916217

Chianella, R. (2021). Addictive digital experiences: the influence of artificial intelligence and more-than-human design. https://doi.org/10.5151/ead2021-125

Chinn, C. A., Buckland, L. A., & Samarapungavan, A. L. A. (2011). Expanding the Dimensions of Epistemic Cognition: Arguments From Philosophy and Psychology. Educational Psychologist, 46(3), 141–167. https://doi.org/10.1080/00461520.2011.587722

Chinn, C. A., Rinehart, R. W., & Buckland, L. A. (2014). Epistemic Cognition and Evaluating Information : Applying the AIR Model of Epistemic Cognition In this chapter, we elaborate a model of epistemic cognition and explain how this model can be applied to help account for how people evaluate information , in.

Rowley, M. (2023, January 13). Current Trends in Psychology: AI, Mindfulness and More | The Link. https://www.columbiasouthern.edu/blog/blog-articles/2023/january/current-trends-in-psychology/l

De Grave, W. S., Dolmans, D. H., & van der Vleuten, C. P. (1999). Profiles of effective tutors in problem-based learning: scaffolding student learning. Medical Education, 33(12), 901–906. https://doi.org/10.1046/j.1365-2923.1999.00492.x

DeBacker, T. K., Crowson, H. M., Beesley, A. D., Thoma, S. J., & Hestevold, N. L. (2008). The Challenge of Measuring Epistemic Beliefs: An Analysis of Three Self-Report Instruments. The Journal of Experimental Education, 76(3), 281–312. http://www.jstor.org/stable/20157487

DeBacker, T. K., & Michael Crowson, H. (2006). Influences on cognitive engagement: Epistemological beliefs and need for closure. British Journal of Educational Psychology, 76(3), 535–551. https://doi.org/10.1348/000709905X53138

Dilmegani, C. (2022). Advantages of AI According to Top Practitioners [2023 update]. https://research.aimultiple.com/advantages-of-ai/

Ernst, G. W., & Newell, A. (1971). GPS : a case study in generality and problem solving. American Mathematical Monthly, pp. 78, 923.

Geirsdotter Bækkelund, N., Isdal Haugland, A., Sande, J., & Rogde Mjånes, J. O. (2025). Ill-structured problems in capstone courses – investigating students’ approaches and experience. European Journal of Engineering Education, 1–20. https://doi.org/10.1080/03043797.2025.2585122

Glaser, R., & Chi, M. T. H. (1988). Overview. In The Nature of Expertise (pp. 15–28).

Granulo, A., Fuchs, C., & Puntoni, S. (2019). Psychological reactions to human versus robotic job replacement. Nature Human Behaviour, 3(10), 1062–1069. https://doi.org/10.1038/s41562-019-0670-y

Hmelo-Silver, C. E., & Barrows, H. S. (2008). Facilitating Collaborative Knowledge Building. Cognition and Instruction, 26(1), 48–94. https://doi.org/10.1080/07370000701798495

Hofer, B., & Pintrich, P. (1997). The Development of Epistemological Theories: Beliefs About Knowledge and Knowing and Their Relation to Learning. Review of Educational Research, 67. https://doi.org/10.3102/00346543067001088

Inazu, J. D. (2018). Confident pluralism: Surviving and thriving through deep difference (Paperback edition). The University of Chicago Press.

Jikamshi, M., Chong, A., Roslan, S., & Ismail, H. (2016). Dimensions of Epistemological Beliefs, Learning Goal Orientation, as Predictors of Deep Knowledge Acquisition Approach among Pre-Service Teachers in Nigeria. Mediterranean Journal of Social Sciences, p. 7. https://doi.org/10.5901/mjss.2016.v7n4p165

Jonassen, D. H. (2000). Toward a Design Theory of Problem Solving. Educational Technology Research and Development, 48(4), 63–85. http://www.jstor.org/stable/30220285

Kaličanin, K., Čolović, M., Njeguš, A., & Mitic, V. (2019). Benefits of Artificial Intelligence and Machine Learning in Marketing. https://doi.org/10.15308/Sinteza-2019-472-477

Kartal, E. (2022). A Comprehensive Study on Bias in Artificial Intelligence Systems: Biased or Unbiased AI, That’s the Question! International Journal of Intelligent Information Technologies, 18(1), 1–23. https://doi.org/10.4018/IJIIT.309582

Kizilgunes, B., Tekkaya, C., & Sungur, S. (2009). Modeling the Relations Among Students’ Epistemological Beliefs, Motivation, Learning Approach, and Achievement. The Journal of Educational Research, 102(4), 243–256. https://doi.org/10.3200/JOER.102.4.243-256

Klein, K., Calabrese, J., Aguiar, A., Mathew, S., Ajani, K., Almajid, R., & Aarons, J. (2023). Evaluating Active Lecture and Traditional Lecture in Higher Education. Journal on Empowering Teaching Excellence, 7(2), 40–51. https://doi.org/10.26077/ba42-a5cc

LaSota, D. (2017). Teach ill-structured problem solving with discussion. https://iteachu.uaf.edu/ill-structured-problems/

Lee, N. T. (2023). Brookings. https://www.brookings.edu/center/center-for-technology-innovation/

Li, Z., Yi, W., & Chen, J. (2026). Accuracy paradox: Addressing epistemic, manipulative, and societal risks of hallucination in AI governance. Computer Law & Security Review, 61, 1–19. https://doi.org/10.1016/j.clsr.2026.106311

Liu, M. R., & Zhu, J. (2018). Personal epistemology: The impact of project-based learning. ASEE Annual Conference and Exposition, Conference Proceedings, 2018-June. https://doi.org/10.18260/1-2--30873

Lohman, M. C., & Finkelstein, M. (2000). Designing groups in problem-based learning to promote problem-solving skill and self-directedness. Instructional Science, 28(4), 291–307. https://doi.org/10.1023/A:1003927228005

Loyens, S. M. M., Magda, J., & Rikers, R. M. J. P. (2008). Self-Directed Learning in Problem-Based Learning and its Relationships with Self-Regulated Learning. Educational Psychology Review, 20(4), 411–427. https://doi.org/10.1007/s10648-008-9082-7

McNaughton, S. (2018). The conditions of learning. Being Skilled, 2(21), 104–119. https://doi.org/10.4324/9781315108490-7

Murphy, P. K., Alexander, P. A., Greene, J. A., & Edwards, M. N. (2007). Epistemological threads in the fabric of conceptual change research. In Reframing the conceptual change approach in learning and instruction. (pp. 105–122). Elsevier Science.

Newell, A., & Simon, H. A. (1972). Human problem solving. In Human problem solving. Prentice-Hall.

Pressley, M., Snyder, B. L., & Cariglia-Bull, T. (1987). How can good strategy use be taught to children?: Evaluation of six alternative approaches. In Transfer of learning: Contemporary research and applications. (pp. 81–120). Academic Press.

Rasheed S M, A., Mishra, L. K., & Tiwari, G. K. (2026). Engagement with Knowledge and Epistemic Cognition in Children During the COVID-19 Lockdown: An Interpretative Phenomenological Study Using the AIR Model. European Journal of Child Development Education and Psychopathology, 14(1), 1–27. https://doi.org/10.32457/ejpad.v14i1.3477

Richter, T., & Schmid, S. (2010). Epistemological beliefs and epistemic strategies in self-regulated learning. Metacognition and Learning, 5(1), 47–65. https://doi.org/10.1007/s11409-009-9038-4

Sandoval, W. A. (2003). Conceptual and Epistemic Aspects of Students’ Scientific Explanations. The Journal of the Learning Sciences, 12(1), 5–51. http://www.jstor.org/stable/1466633

Saye, J. W., & Brush, T. (2002). Scaffolding critical reasoning about history and social issues in multimedia-supported learning environments. Educational Technology Research and Development, 50(3), 77–96. https://doi.org/10.1007/BF02505026

Schommer, M. (1990). Effects of beliefs about the nature of knowledge on comprehension. Journal of Educational Psychology, pp. 82, 498–504. https://doi.org/10.1037/0022-0663.82.3.498

Schommer, M. (1993). Epistemological development and academic performance among secondary students. Journal of Educational Psychology, pp. 85, 406–411. https://doi.org/10.1037/0022-0663.85.3.406

Schraw, G., Bendixen, L. D., & Dunkle, M. E. (2002). Development and validation of the Epistemic Belief Inventory (EBI). In Personal epistemology: The psychology of beliefs about knowledge and knowing. (pp. 261–275). Lawrence Erlbaum Associates Publishers.

Solomon, M. (2001). Social Empiricism. The MIT Press. https://doi.org/https://doi.org/10.7551/mitpress/6296.001.0001

Staff, U. C. (2017, September 18). Teach ill-structured problem solving with discussion – UAF Center for Teaching and Learning. https://ctl.uaf.edu/2017/09/18/ill-structured-problems/

Sunstein, C. R. (2002). Republic.com. Princeton University Press.

Thagard, P. (2012). The Cognitive Science of Science: Explanation, Discovery, and Conceptual Change. The MIT Press. https://doi.org/10.7551/mitpress/9218.001.0001

van de Pol, J., & Elbers, E. (2013). Scaffolding student learning: A micro-analysis of teacher–student interaction. Learning, Culture and Social Interaction, 2(1), 32–41. https://doi.org/https://doi.org/10.1016/j.lcsi.2012.12.001

van de Pol, J., Volman, M., & Beishuizen, J. (2010). Scaffolding in teacher–student interaction: A decade of research. Educational Psychology Review, 22, 271–296. https://doi.org/10.1007/s10648-010-9127-6

Yadav, A., Subedi, D., Lundeberg, M., & Bunting, C. (2011). Problem‐based Learning: Influence on Students’ Learning in an Electrical Engineering Course. Journal of Engineering Education, 100, 253–280. https://doi.org/10.1002/j.2168-9830.2011.tb00013.x

Zagzebski, L. T. (2012). Virtues of the Mind An Inquiry into the Nature of Virtue and the Ethical Foundations of Knowledge. Cambridge University Press. https://doi.org/https://doi.org/10.1017/CBO9781139174763

Zhou, Y., Shi, Y., Lu, W., & Wan, F. (2022). Did Artificial Intelligence Invade Humans? The Study on the Mechanism of Patients’ Willingness to Accept Artificial Intelligence Medical Care: From the Perspective of Intergroup Threat Theory. Frontiers in Psychology, p. 13, 866124. https://doi.org/10.3389/fpsyg.2022.866124

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Published

2026-06-22

How to Cite

Rasheed. S M, A., Mishra, L. K., & Tiwari, G. K. (2026). Exploring the Role of Problem-based Learning in Fostering the Epistemological Beliefs of Psychology Students: A One-Group Pretest–Posttest Study. Journal of Psychological Perspective, 8(3), 131–142. https://doi.org/10.47679/jopp.8314772026

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