Beyond the Classroom Walls: Metacognitive awareness in traditional and online setting

Authors

  • Radka Miháliková Katedra psychológie, FF UPJŠ v Košiciach

DOI:

https://doi.org/10.14712/23362189.2024.3257

Keywords:

metacognitive awareness, online learning, pairwise comparison, in-person learning

Abstract

Objective – The aim of this study is to assess and compare the metacognitive awareness of university students in online and in-person learning environments. Secondly, the study aims to explore the students’ preferences for online and in-person learning to compare themetacognitive awareness of students based on their preferences.

Methods – A total of 79 university students completed the Metacognitive Awareness Inventory, providing self-reported data on their metacognitive awareness. The study used a paired sample t-test to compare mean scores of metacognitive awareness between online and in-person classroom settings. Additionally, participants evaluated their experiences with online and in-person learning using a pairwise comparison as a scaling method.

Results – The t-test results indicate statistically significant differences in metacognitive awareness between online and in-person classroom settings. Specifically, significant differences were found in declarative knowledge, procedural knowledge, conditional knowledge, planning, information management strategies, monitoring, debugging strategies, and evaluation of learning. Students showed higher levels of metacognitive awareness across all facets in traditional in-person learning setting. Descriptive analysis of scaling pairwise comparison revealed that online learning was strongly preferred for comfort, while in-person learning was preferred modality for motivation to study and active participation. In oppose to t-test results, ANOVA did not reveal significant differences in metacognitive awareness based on students’ preferences in online nor in traditional learning settings.

Conclusions – The results provide valuable information on the metacognitive awareness and preferences of the students in two different learning environments.

References

Altmann, A., Ebersberger, B., Mössenlechner, C., & Wieser, D. (2018). The disruptive power of online education: Challenges, opportunities, responses. Emerald Group Publishing.

https://doi.org/10.1108/9781787543256

https://doi.org/10.1108/978-1-78754-325-620181001

Altoik, S., Baser, Z., & Yükseltürk, E. (2019). Enhancing metacognitive awareness of undergraduates through using an e-educational video environment. Computers & Education, 139, 129-145.

https://doi.org/10.1016/j.compedu.2019.05.010

Brinck, I., & Liljenfors, R. (2012). The developmental origin of metacognition. Infant and Child Development, 22(1), 85-101.

https://doi.org/10.1002/icd.1749

Callender, A. A., Franco‐Watkins, A. M., & Roberts, A. S. (2015). Improving metacognition in the classroom through instruction, training, and feedback. Metacognition and Learning, 11(2), 215-235.

https://doi.org/10.1007/s11409-015-9142-6

Coffield, F., Moseley, D., Hall, E., & Ecclestone, K. (2004). Learning styles and pedagogy in post-16 learning: a systematic and critical review. Newcastle University EBooks. (Online). Retrieved from: https://www.leerbeleving.nl/wp-content/uploads/2011/09/learning-styles.pdf.

Curry, L. (1990). A critique of the research on learning styles. Educational Leadership, 48(2), 50-56.

Dunn, T. L., Gaspar, C., McLean, D., Koehler, D. J., & Risko, E. F. (2021). Distributed metacognition: Increased bias and deficits in metacognitive sensitivity when retrieving information from the internet. Technology, Mind, and Behavior, 2(3).

https://doi.org/10.1037/tmb0000039.supp

https://doi.org/10.1037/tmb0000039

Heyes, C., Bang, D., Shea, N., Frith, C. D., & Fleming, S. M. (2020). Knowing ourselves together: The cultural origins of metacognition. Trends in Cognitive Sciences, 24(5), 349-362.

https://doi.org/10.1016/j.tics.2020.02.007

PMid:32298621 PMCid:PMC7903141

Hussein, E. T., Daoud, S., Alrabaiah, H., & Badawi, R. (2020). Exploring undergraduate students' attitudes towards emergency online learning during COVID-19: A case from the UAE. Children and Youth Services Review, 119, 105699.

https://doi.org/10.1016/j.childyouth.2020.105699

Khodaei, S., Hasanvand, S., Gholami, M., Mokhayeri, Y., & Amini, M. (2022). The effect of the online flipped classroom on self-directed learning readiness and metacognitive awareness in nursing students during the COVID-19 pandemic. BMC Nursing, 21(1), 1-10.

https://doi.org/10.1186/s12912-022-00804-6

PMid:35042484 PMCid:PMC8766221

Letzel, V., Pozas, M., & Schneider, C. (2020). Energetic students, stressed parents, and nervous teachers: A comprehensive exploration of inclusive homeschooling during the COVID-19 crisis. Open Education Studies, 2(1), 159-170.

https://doi.org/10.1515/edu-2020-0122

Madarászová, R., & Mesárošová, M. (2022). Face-to-face versus online education in relation to study motivation from the perspective of teachers and students. In INTED2022 Proceedings, pp. 6463-6469.

https://doi.org/10.21125/inted.2022.1638

Mareš, J. (1998). Styly učení žáků a studentů. Praha: Portál.

Meeter, M., Bele, T., Hartogh, C. d., Bakker, T., de Vries, R. E., & Plak, S. (2020). College students' motivation and study results after COVID-19 stay-at-home orders. (Online). Retrieved from: https://doi.org/10.31234/osf.io/kn6v9.

https://doi.org/10.31234/osf.io/kn6v9

Mesárošová, M., Bavoľár, J., & Slavkovská, M. (2018). Cognitive, metacognitive competences and self-regulation in the context of motivation. Pavol Jozef Šafárik University in Košice.

Mesárošová, M., & Mesároš, P. (2012). Metacognitive strategies and motivation of gifted students. Social Processes and Personality 2012: Proceedings of the 15th International Conference, pp. 41-45.

Miháliková, R., & Mesárošová, M. (2023). Interaction analysis of online university lessons. INTED2023 Proceedings, pp. 5134-5139.

https://doi.org/10.21125/inted.2023.1331

Mok, K. H., Xiong, W., & Bon Aedy Rahman, H. N. (2021). COVID-19 pandemic's disruption on university teaching and learning and competence cultivation: Student evaluation of online learning experiences in Hong Kong. International Journal of Chinese Education, 10(1), 1-20.

https://doi.org/10.1177/22125868211007011

Peytcheva-Forsyth, R., Yovkova, B., & Aleksieva, L. (2018). Factors affecting students' attitudes towards online learning: The case of Sofia University. In AIP Conference Proceedings, 2048, 020025.

https://doi.org/10.1063/1.5082043

Sadler‐Smith, E. (2001). The relationship between learning style and cognitive style. Personality and Individual Differences, 30(4), 609-616.

https://doi.org/10.1016/S0191-8869(00)00059-3

Schraw, G., & Dennison, R. S. (1994). Metacognitive Awareness Inventory (MAI) [Dataset]. In PsycTESTS Dataset.

https://doi.org/10.1037/t21885-000

PMCid:PMC3759606

Usher, E. L., Golding, J. M., Han, J., Griffiths, C. S., McGavran, M. B., Brown, C. S., & Sheehan, E. A. (2021). Psychology students' motivation and learning in response to the shift to remote instruction during COVID-19. Scholarship of Teaching and Learning in Psychology, 10(1), 16-29.

https://doi.org/10.1037/stl0000256

Yilmaz, R. (2022). The effect of learning analytics assisted recommendations and guidance feedback on students' metacognitive awareness and academic achievements. Journal of Computing in Higher Education, 34(2), 396-415.

https://doi.org/10.1007/s12528-021-09304-z

Yuan, K., Aftoni, A., & Cobanoglu, O. (2020). The effect of problem-based learning model and blended learning model to metacognitive awareness as a reflection towards a new normal era. Jurnal Pendidikan Teknologi Dan Kejuruan, 26(2), 183-188.

https://doi.org/10.21831/jptk.v26i2.32783

Zaccoletti, S., Camacho, A., Correia, N., Aguiar, C., Mason, L., Alves, R. A., & Daniel, J. R. (2020). Parents' perceptions of student academic motivation during the COVID-19 lockdown: A cross-country comparison. Frontiers in Psychology, 11(592670).

https://doi.org/10.3389/fpsyg.2020.592670

PMid:33391114 PMCid:PMC7775314

Published

2025-01-31

Issue

Section

Research paper