Comparative Effects of Virtual and Jigsaw Learning Strategies on Secondary School Students' Chemistry Motivation

Authors

Prof. Gladys Uzezi Jack

Department of Science Education, Taraba State University, Jalingo (Nigeria)

Godwin Genesis Lingbuin

Department of Chemistry, College of Education Zing, Taraba State (Nigeria)

Emobwejwa Bwefwa Shidawa

Department of Science Education, Taraba State University, Jalingo (Nigeria)

Philip Bitrus

Department of Science Education, Taraba State University, Jalingo (Nigeria)

Article Information

DOI: 10.47772/IJRISS.2026.100500858

Subject Category: Chemistry

Volume/Issue: 10/5 | Page No: 12698-12708

Publication Timeline

Submitted: 2026-05-20

Accepted: 2026-05-26

Published: 2026-06-16

Abstract

The study compared the effects of virtual and jigsaw learning strategies on secondary school students' chemistry motivation in Taraba State. A quasi-experimental research design was adopted for the study. The population comprised 6683 secondary school two (SS 2) students and a sample size of 183 was obtained through purposive sampling where two intact classes were sampled. A total of 86 students were in the virtual learning group while 97 students were in the jigsaw learning group. Chemistry Motivation Questionnaire (CMQ) was used for data collection. The instrument was validated by two experts of Science Education and one expert in Measurement and Evaluation; all from Taraba State University, Jalingo. A pilot test was conducted and Cronbach alpha reliability coefficient of CMQ was found to be 0.93. Mean and standard deviation were used to answer the research questions while Analysis of Covariance (ANCOVA) was used to test the null hypotheses at 0.05 level of significance. The study found a significant difference in the chemistry motivation of students in favour of virtual learning strategy (p<0.05). There was no significant gender difference and no significant strategies-gender interaction effects on chemistry motivation of the students (p>0.05). It was concluded that virtual learning strategy improves students’ motivation in chemistry more than jigsaw learning strategy. It was recommended among others that chemistry teachers should utilise virtual learning strategies (such as PhET and Labster) in providing virtual chemistry lessons for students as a means of improving their chemistry motivation at the secondary school level.

Keywords

Virtual learning, jigsaw learning, motivation

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References

1. Akram, T. M., Ijaz, A. & Ikram, H. (2017). Exploring the factors responsible for declining students' interest in chemistry. International Journal of Information and Education Technology, 7(2), 88-94. https://doi.org/10.18178/ijiet2017.7.2.847 [Google Scholar] [Crossref]

2. Alfaruqy, D. (2021). The implementation of the jigsaw technique to increase students’ listening achievement and motivation aspects. ELE Reviews: English Language Education Reviews, 1(1), 22-40. [Google Scholar] [Crossref]

3. Alkan, F. (2021). Examining the high school students' chemistry motivation, chemistry laboratory anxiety and chemistry laboratory self-efficacy beliefs towards different variables. Journal for Educators, Teachers and Trainers, 12(3), 30-40. [Google Scholar] [Crossref]

4. Anari, M. I., Agim, F. B. & Obi, J. J. (2025). Effect of animated instructional strategy on gender and learning motivation in chemistry in Ogoja Education Zone, Nigeria. Faculty of Natural and Applied Sciences Journal of Mathematics and Science Education, 6(3), 59-66. [Google Scholar] [Crossref]

5. Aslan, S. A. & Duruhan, K. (2021). The effect of virtual learning environments designed according to problem-based learning approach to students’ success, problem-solving skills, and motivations. Education and Information Technologies, 26(2), 2253-2283. [Google Scholar] [Crossref]

6. Blajvaz, B. K., Bogdanović, I. V., Jovanović, T. S., Stanisavljević, J. D. & Pavkov-Hrvojević, M. V. (2022). The jigsaw technique in lower secondary physics education: students’ achievement, metacognition and motivation. Journal of Baltic Science Education, 21(2), 545-557. [Google Scholar] [Crossref]

7. Bulic, M. & Blazevic, I. (2020). The impact of online learning on student motivation in science and biology classes. Journal of Elemntary Education, 13(1), 73-87. [Google Scholar] [Crossref]

8. Ghorbani, A. T., Zarifsanaiey, N. & Negahban, M. B. (2020). Comparing the impacts of e-learning and conventional education on students’ academic motivation and performance: a descriptive study. Interdisciplinary Journal of Virtual Learning Medicine Sciences, 11(3), 170-179. [Google Scholar] [Crossref]

9. Hagos, T. & Andargie, D. (2022). Gender differences in students’ motivation and conceptual knowledge in chemistry using technology-integrated formative assessment. Asian Journal of Assessment in Teaching and Learning, 12(1), 10-22. [Google Scholar] [Crossref]

10. Herdhiana, B. (2023, December 20). What is virtual learning? a guide for teachers & instructors. Livestorm. https://livestorm.co/blog/what-is-virtual-learning [Google Scholar] [Crossref]

11. Huda, N. & Rohaeti, E. (2023). The factors that influence the motivation to learn chemistry of upper-secondary school students in Indonesia. Journal of Baltic Science Education, 22(4), 615-630. [Google Scholar] [Crossref]

12. Jack, G. U., Saleh, Z. & Shidawa, E. B. (2025). A comparative analysis of pre-service and in-service chemistry teachers' science process skills in Taraba State, Nigeria. African Journal of Educational Management, Teaching and Entrepreneurship Studies, 16(1), 1-17. [Google Scholar] [Crossref]

13. Josiah, M. M. (2022). Jigsaw iv cooperative learning strategy and students' motivation towards senior secondary physics in Jos Metropolis, Nigeria. International Journal of Research Findings in Engineering, Science and Technology, 4(2), 1-16. [Google Scholar] [Crossref]

14. Kamberi, M. (2025). The types of intrinsic motivation as predictors of academic achievement: The mediating role of deep learning strategy. Cogent Education, 12(1), Article 2482482. https://doi.org/10.1080/2331186X.2025.2482482 [Google Scholar] [Crossref]

15. Kamran, Z. & Akram, M. (2025). Effect of student science motivation on academic achievement in biology, chemistry, and physics at secondary level. The Critical Review of Social Sciences Studies, 3(4), 2037-2049. [Google Scholar] [Crossref]

16. Keter K. J., Barchok, H. K. & Ng’eno, J. K. (2016). Effects of cooperative mastery learning approach on students’ motivation to learn chemistry by gender. Journal of Education and Practice, 5(8), 91-97. [Google Scholar] [Crossref]

17. Mohammad, U. T. (2024). The impact of gender difference on science students’ motivation. Research Institute for Knowledge International Journal of Educational Research (RIK-IJER), 8(3), 47-54. [Google Scholar] [Crossref]

18. Nikolic, S. & Nicholls, B. (2018). Exploring student interest of online peer assisted learning using mixed-reality technology. In M. Auer, D. Guralnick, & I. Simonics (Eds.), Teaching and learning in a digital world (48-54). https://doi.org/10.1007/978-3-319-73210-76 [Google Scholar] [Crossref]

19. Nnoli, J. N. & Onyekpudoro, C. E. (2026). Effect of computer instructional technique on secondary school students motivation in chemistry in Anambra State. Teaching, Learning, and Development, 4(1), 89-96. DOI: 10.62672/teladv4.1.138 [Google Scholar] [Crossref]

20. Roy, B. & Sarkar, B. (2025). Variations in academic motivation among school students in West Bengal. The International Journal of Indian Psychology, 13(1), 1-8. [Google Scholar] [Crossref]

21. Salsabila, T., Suyanta, & Huda, N. (2023). Chemistry motivation of high school students in indonesia: grade level and gender differences. Jurnal Penelitian Pendidikan, 9(12), 10845-10852. https://doi.org/10.29303/jppipa.v9112.6071 [Google Scholar] [Crossref]

22. Steidtmann, L., Kleickmann, T. & Steffensky, M. (2023). Declining interest in science in lower secondary school classes: Quasi-experimental and longitudinal evidence on the role of teaching and teaching quality. Journal of Research in Science Teaching, 60(1), 164-195. https://doi.org/10.1002/tea.21794 [Google Scholar] [Crossref]

23. Taylor, L. (2023, February 6). Jigsaw teaching method - a technique for cooperative learning. https://www.teachertrainingasia.com/teaching-blog/1388-Jigsaw-Teaching-Method---A-Technique-For-Cooperative-Learning-blog.php [Google Scholar] [Crossref]

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