Enhancing Classroom Learning through Cognitive Psychology: Six Practical Recommendations
DOI: 10.23977/appep.2025.060216 | Downloads: 8 | Views: 193
Author(s)
Xiao Huang 1, Doudou Huang 2
Affiliation(s)
1 Chongqing University of Posts and Telecommunications, Chongqing, China
2 Chongqing Jiangbei Second Hospital (Chongging Jiangbei Mental Health Center), Chongqing, China
Corresponding Author
Doudou HuangABSTRACT
Classroom teaching and learning involve not only the delivery of knowledge but also the effectiveness of the instructional approach. While educational practitioners often focus on what to teach, it is equally important to examine how teaching and learning are conducted. Incorporating principles from cognitive psychology into classroom instruction could help teachers enhance their pedagogical effectiveness and improve students’ learning outcomes. This paper reviews important empirical findings that apply cognitive psychology to real-world educational settings. Based on these findings, six evidence-based recommendations are proposed and analyzed. These recommendations address aspects such as cognitive load management, long-term memory retrieval, multimodal learning, simulation-based activities, the use of conceptual models, and metacognitive processes. Together, they aim to offer practical guidance for educators aiming to improve students’ learning outcomes through cognitively informed teaching practices.
KEYWORDS
Classroom Teaching and Learning, Educational Psychology, Cognitive Psychology, Teaching Strategies, Learning OutcomesCITE THIS PAPER
Xiao Huang, Doudou Huang, Enhancing Classroom Learning through Cognitive Psychology: Six Practical Recommendations. Applied & Educational Psychology (2025) Vol. 6: 123-128. DOI: http://dx.doi.org/10.23977/appep.2025.060216.
REFERENCES
[1] Kalyuga, S., Chandler, P., & Sweller, J. Managing split‐attention and redundancy in multimedia instruction. Applied Cognitive Psychology. 1999; 13(4):351–371.
[2] Bobis, J., Sweller, J., & Cooper, M. Cognitive load effects in a primary school geometry task. Learning and Instruction. 1993; 3(1):1–2.
[3] Mayer, R., Heiser, J., & Lonn, S. Cognitive constraints on multimedia learning: When presenting more material results in less understanding. Journal of Educational Psychology. 2001; 93(1):187–198.
[4] Hogan, R., & Kintsch, W. Differential effects of study and test trials on long-term recognition and recall. Journal of Verbal Learning and Verbal Behavior. 1971; 10(5):562–567.
[5] Thompson, C., Wenger, S., & Bartling, C. How recall facilitates subsequent recall: A reappraisal. Journal of Experimental Psychology: Human Learning and Memory. 1978; 4(3):210–221.
[6] Roediger, H. L., & Karpicke, J. D. Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science. 2006; 17(3):249–255.
[7] Hammer, J., & Black, J. Games and (preparation for future) learning. Educational Technology. 2009; 49(4):29–34.
[8] Black, J., & McClintock, R. An interpretation construction approach to constructivist design. In: Wilson B, editor. Constructivist Learning Environments. Englewood Cliffs, NJ: Educational Technology Publications; 1996.
[9] Han, I., & Black, J. Incorporating haptic feedback in simulations for learning physics. Computers and Education. 2011; 57(4):2281–2290.
[10] Glenberg, A., Gutierrez, T., Levin, J., Japuntich, S., & Kaschak, M. Activity and imagined activity can enhance young children's reading comprehension. Journal of Educational Psychology. 2004; 96(3):424–436.
[11] Bender, B., & Levin, J. Motor activity, anticipated motor activity, and young children’s associative learning. Child Development. 1976; 47(2):560–562.
[12] Rubman, C., & Waters, H. A, B, seeing: The role of constructive processes in children’s comprehension monitoring. Journal of Educational Psychology. 2000; 92(3):503–514.
[13] Mayer, R., Dyck, J., & Cook, L. Techniques that help readers build mental models from scientific text: Definitions pretraining and signaling. Journal of Educational Psychology. 1984; 76(6):1089–1105.
[14] Mayer, R. Models for understanding. Review of Educational Research. 1989; 59(1):43–64.
[15] Bromage, B., & Mayber, R. Relationship between what is remembered and creative problem-solving performance in science learning. Journal of Educational Psychology. 1981; 73(4):451–461.
[16] Chi, M., Bassok, M., Lewis, M., Reimann, P., & Glaser, R. Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science. 1989; 13(2):145–182.
[17] Lavancher, C., Chiu, M., De Leeuw, N., & Chi, M. Eliciting self-explanations improves understanding. Cognitive Science. 1994; 18(3):439–477.
[18] Nathan, M., Mertz, K., & Ryan, B. Learning through self-explanation of mathematical examples: Effects of cognitive load. Paper presented at the Annual Meeting of the American Educational Research Association; 1994.
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