Deep Blended Learning Models for Chemistry Students
Abstract
Background and Aims: The deep blended learning paradigm offers students a more adaptable, customized, and interactive learning environment by fusing the benefits of contemporary online learning with conventional classroom teaching. This study aims to explore a deep blended learning model intended to improve chemistry students’ abilities for learning.
Methodology: A comprehensive literature review and expert panel discussions were conducted simultaneously to formulate an initial list of experts’ analysis competency, A total of twenty-one experts were chosen based on their expertise in different disciplines to find out the problems faced by chemistry students in the process of deep learning. A graphical model was established using the Delphi method based on feedback from experts. The final nine experts' feedback was evaluated the blended learning model using the CIPP evaluation principles.
Results: According to Bloom’s taxonomy of cognitive educational goals, it was found that students encounter issues such as difficulty in accurately memorizing chemical concepts, insufficient ability to summarize and generalize, a disconnect between practical application and theoretical principles, lack of practical operational skills, insufficient ability to analyze and interpret experimental data, difficulty in solving complex problems, and inadequate evaluation of experimental methods. To address these issues, this study developed a hybrid learning model that identifies effective solutions across six dimensions: knowledge, understanding, application, analysis, synthesis, and evaluation. For students, this model enhances their understanding and application of knowledge, and promotes self-directed learning, critical thinking, comprehensive innovation abilities, and active participation, thereby providing strong support for their comprehensive development and academic progress.
Conclusion: The hybrid learning model developed in this study effectively addresses students' difficulties in mastering chemical concepts by improving their cognitive abilities at all levels of Bloom's taxonomy. This approach promotes deeper understanding, critical thinking, and practical skills, ultimately benefiting students' academic growth and development.
Article Details
How to Cite
Section
Articles
Copyright & License
Copyright (c) 2025 International Journal of Sociologies and Anthropologies Science Reviews

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright on any article in the International Journal of Sociologies and Anthropologies Science Reviews is retained by the author(s) under the under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Permission to use text, content, images, etc. of publication. Any user to read, download, copy, distribute, print, search, or link to the full texts of articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose. But do not use it for commercial use or with the intent to benefit any business.
References
Adebusuyi, O. F., Ominowa, O. T., Akinnifesi, J. B., & Karinatei, S. M. (2023). The Effectiveness of Computer-Based Simulations and Traditional Hands-on Activities on Secondary School Students’ Performance and Science Process Skills in Practical Chemistry. Journal of Education in Black Sea Region, 8(2), 108–120. https://doi.org/10.31578/jebs.v8i2.297
Bloom, B. S. (1956). Taxonomy of educational objectives: The classification of educational goals. Longmans, Green.
Bodner, G. M., & Domin, D. S. (1995). The role of representation in problem-solving in chemistry. Toward a cognitive science perspective for scientific problem solving: A monograph of the National Association for Research in Science Teaching, 6, 245-263.
Cook, M., Wiebe, E. N., & Carter, G. (2008). The influence of prior knowledge on viewing and interpreting graphics with macroscopic and molecular representations. Science Education, 92(5), 848-867.
Gabel, D. (1999). Improving teaching and learning through chemistry education research: A look to the future. Journal of Chemical Education, 76(4), 548.
Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95-105.
Glazer, N. (2011). Challenges with graph interpretation: A review of the literature. Studies in science education, 47(2), 183-210.
Holme, T. A., Luxford, C. J., & Brandriet, A. (2015). Defining conceptual understanding in general chemistry. Journal of Chemical Education, 92(9), 1477-1483.
Makhambetova, A., Zhiyenbayeva, N., & Ergesheva, E. (2021). Personalized learning strategy as a tool to improve academic performance and motivation of students. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 16(6), 1-17.
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. US Department of Education.
Owston, R. D., York, D. N., & Murtha, S. (2013). Student perceptions and achievement in a university blended learning strategic initiative. The Internet and Higher Education, 18, 38-46.
Quillin, K., & Thomas, S. (2015). Drawing-to-learn: A framework for using drawings to promote model-based reasoning in biology. CBE—Life Sciences Education, 14(1), es2.
Rebecca, L., Sansom., Robert, Bodily., Caroline, O., Bates., Heather, Leary. (2020). Increasing Student Use of a Learner Dashboard. Journal of Science Education and Technology, 29(3),386-398.
Roschelle, J., Feng, M., Murphy, R., & Mason, C. A. (2016). Online mathematics homework increases student achievement. AERA Open, 2(4), 2332858416673968.
Shah, P., & Freedman, E. G. (2003). Visuospatial cognition in electronic learning. Journal of Educational Computing Research, 29(3), 315-324.
Soderstrom, N. C., & Bjork, R. A. (2015). Learning versus performance: An integrative review. Perspectives on Psychological Science, 10(2), 176-199.
Vygotsky, L. S., & Cole, M. (1978). Mind in society: Development of higher psychological processes. Harvard University Press.