Effect of Cognitive Load on Schema Transfer Among Secondary School Students in Ekeremor LGA of Bayelsa State
PDF

Keywords

Effect
Cognitive load
Schema transfer
Students
Ekeremor LGA

Abstract

This study examined the effect of cognitive load on schema transfer among secondary school students in Ekeremor Local Government Area of Bayelsa State. The study was anchored on John Sweller’s Cognitive Load Theory, which explains that excessive mental demands interfere with learning, comprehension and transfer of knowledge. Schema transfer refers to the ability of learners to apply previously acquired knowledge structures to new learning situations. The study adopted a correlational survey research design. The population consisted of senior secondary school students in public secondary schools in Ekeremor LGA. A sample of 400 students was selected through a stratified random sampling technique. Two instruments were used for data collection: the Cognitive Load Scale (CLS) and the Schema Transfer Achievement Test (STAT). The instruments were validated by experts in Educational Psychology and Measurement and Evaluation, while reliability coefficients of 0.82 and 0.79, respectively, were obtained using Cronbach’s Alpha. Data collected were analyzed using mean, standard deviation, Pearson Product Moment Correlation and multiple regression analysis at a 0.05 level of significance. Findings revealed that intrinsic cognitive load, extraneous cognitive load and germane cognitive load significantly influenced schema transfer among secondary school students. Extraneous cognitive load showed a negative relationship with schema transfer, while germane cognitive load positively predicted transfer performance. The study further revealed that students exposed to well-structured instructional materials demonstrated higher schema transfer acquisition and transfer abilities than students exposed to overloaded instructional environments. The study concluded that cognitive load significantly determines students’ ability to transfer schemas during learning activities. It was recommended that teachers should simplify instructional materials, adopt learner-centred teaching strategies and organize classroom information in ways that reduce unnecessary mental burden and enhance meaningful learning.

PDF

References

Aprillia, F. & Retnowati, E. (2025). Does goal-free problem with guided questions affect retention, transfer and cognitive load? Edumatica: Jurnal Pendidikan Matematika, 15 (3), 296-309. DOI: 10.22437/edumatica. v15i3.45657

Jatmiko, R., H. & Rohman, A. (2025). Planning strategy through reducing cognitive load of secondary school students: Brief metacognitive development analysis. Edelweiss Applied Science and Technology, 9 (4), 1928-1941. DOI: 10.55214/25768484.v9i4.6429

Kelly, A.M. & Bugallo, M. (2023). Cognitive load, transfer and instructional decision-making in an informal middle school STEM integration program. Paper presented at the 2023 Annual Conference and Exposition at Baltimor Convention Center, MD from June 25-28, 2023.

Liu, D., He, P. & Yan, H. (2025). The impact of cognitive schema on learning transfer ability and stability of classical Chinese poetry. PLOS ONE, 20 (11): e0336135. https://doi.org/10.1371/journal.pone.0336135

Martin, A.J., Ginns, P., Pearson, J., Kennett, R. & Burns, E. C. (2026). The role of load reduction instruction in assisting students with weak mental imagery. Learning and Individual Differences, 128:102913. DOI: 10.1016/j.lindif.2026.102913

Mittal, P. & Banti, R. (2025). Cognitive load theory: Applications and implications in education. International Journal of Advanced Scientific Research, 10 (3), 201–205.

Ouwehand, K., Lespiau, F., Tricot, A. & Paas, F. (2025). Cognitive load theory: Emerging trends and innovations. Education Sciences, 15 (4), 458. https://doi.org/10.3390/educsci15040458

Paas, F. & van Merrienboer, J.J.G. (2020). Cognitive load theory: Methods to manage working memory load in the learning of complex tasks. Current Directions in Psychological Science, 29 (4), 394–398. DOI: 10.1177/0963721420922183

Perkins, D. (2024). Cognitive load theory revisited. www.thoughtstretchers.edu.com

Pulungan, S.A., Hasibuan, A.M. & Nurdalilah, T. (2026). Worked example-based instruction to reduce cognitive load and academic boredom in mathematics learning. Journal of Mathematics Instruction, Social Research and Opinion, 5 (1), 1049–1062. DOI: 10.58421/misro. v5i1.1233

Structural Learning. (2026). Cognitive theory in secondary schools. www.structural-learning.com

Stubbs, A. (2022). From theory to practicals—What does cognitive science suggest for teaching practical science? www.my.chartered.college

Sweller, J. (1988). Cognitive load during problem-solving: Effects on learning. Cognitive Science, 12 (2), 257–285. https://doi.org/10.1016/0364-0213(88)90023-7

Sweller, J. (2024). Cognitive load theory and individual differences. Learning and Individual Differences, 110: 102423.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2026 AUTHOR