Learning Companion-Based Self-Learning Module (LCSLM) For Stoichiometry Instruction

Authors

Julyza A. Sayre

Mindanao State University University - Iligan Institute of Technology (Philippines)

Douglas A. Salazar

Mindanao State University University - Iligan Institute of Technology (Philippines)

Article Information

DOI: 10.47772/IJRISS.2026.100801142

Subject Category: Education

Volume/Issue: 10/8 | Page No: 16671-16681

Publication Timeline

Submitted: 2026-08-16

Accepted: 2026-08-21

Published: 2026-09-25

Abstract

Stoichiometry remains one of the most challenging topics in secondary chemistry education due to its high cognitive load and integration of abstract mathematical and chemical concepts. This study evaluated the design, development, and instructional efficacy of a Learning Companion-Based Self-Learning Module (LCSLM) featuring an animated pedagogical agent named "Jul". Jul provides six instructional functions: conceptual explanations, procedural rule guidance, worked-example accounting, contextualized real-world bridging, metacognitive self-check prompts, and affective support. Expert evaluation (N = 3) confirmed high module acceptability (M = 3.9) across content, instructional design, usability, and pedagogical alignment. A single-group pretest-posttest pilot implementation was conducted with Grade 11 secondary students (N = 21). A non-parametric evaluation demonstrated a statistically significant improvement in stoichiometry achievement scores from pre-assessment (Mdn = 5.00) to post-assessment (Mdn = 12.00), as confirmed by a Wilcoxon Signed-Rank test (W = 184, p < 0.001, rrb = .593). Learners also evaluated the module favorably, with an overall mean of 3.49, interpreted as Highly Acceptable. The findings suggest that the LCSLM demonstrates promising instructional quality, usability, and potential to support learners' conceptual understanding and self-directed engagement in stoichiometry. Further research involving larger samples and more rigorous experimental designs is warranted to establish its effectiveness.

Keywords

Educational Design Research, learning companion, self-learning module, stoichiometry

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References

1. Alvaro, E. A. (2020). Enhancing the solving-skills on stoichiometry through collaborative and problem-based package among senior high school students. E-Saliksik: DepEd Research Portal. https://e-saliksik.deped.gov.ph/wp-content/uploads/2022/03/I_2020_Alvaro_Enhancing-the-Solving-Skills-on-Stoichiometry-through-Collaborative-and-Problem-Based-Package-among-Senior-High-School-Students.pdf [Google Scholar] [Crossref]

2. Bantiling, N. S., Bongcales, L. R. C., Elloreg, C. T. D., Galope, C. D., Haquias, P. A. L., Hermoso, C. S. L., Ribo, P. K. A. S., Tabaculde, J. D., Taborada, J., & Bacang, M. A. B. R. (2025). Understanding the struggles of STEM 12 students in their academic competence. International Journal of Academic Multidisciplinary Research, 9(5), 510–517. http://ijeais.org/wp-content/uploads/2025/5/IJAMR250565.pdf [Google Scholar] [Crossref]

3. Cena, J. F., Diez, M. B., Flores, M. R., Noquiao, H. P. P., & Quinco-Cadosales, M. N. (2025). Interactive Self-Learning Modules (ISLMs) in sustaining student engagement and learning outcomes: A meta-synthesis. International Journal of Advanced Multidisciplinary Research and Studies, 5(4), 1457–1468. https://doi.org/10.62225/2583049X.2025.5.4.4782 [Google Scholar] [Crossref]

4. Hu, YH., Yu, HY. & Hsieh, CL (2025). Can pedagogical Agent-Based scaffolding boost information Problem-Solving in One-on-One collaborative learning with a virtual learning companion? Educ Inf Technol 30, 25853–25880. https://doi.org/10.1007/s10639-025-13784-2 [Google Scholar] [Crossref]

5. Jansone, A., & Cīrule, Z. A. (2026). Artificial Intelligence-Based Pedagogical Agent in an E-Learning Environment. Computers, 15(7), 401. https://doi.org/10.3390/computers15070401 [Google Scholar] [Crossref]

6. Jastillana, R.M., Pacionela, R., Salem, D., Camarista, G. (2025). Mathematics Anxiety and Types and Frequency of Errors in Algebraic Problem-solving among Grade 12 STEM Students. 12(8), https://doi.org/10.51244/IJRSI.2025.120800221. [Google Scholar] [Crossref]

7. Lao-Lao, M. R. R., Nabua, E. B., Clamohoy, D. M., Luzica, S. A. (2026). Fragmented Conceptual Understanding and Quantitative Challenges in Stoichiometry and Chemical Reactions among Grade 12 Students. International Journal of Research and Innovation in Social Science, 9(12), https://doi.org/10.47772/IJRISS.2025.91200271. [Google Scholar] [Crossref]

8. Lazaro, C. B. D. G. (2026). Strengthening problem-solving skills in balancing chemical equations through scaffolding framework. International Journal for Multidisciplinary Research, 8(4). https://doi.org/10.36948/ijfmr.2026.v08i04.85601 [Google Scholar] [Crossref]

9. Munshi, A., Biswas, G., Baker, R., Ocumpaugh, J., Hutt, S., & Paquette, L. (2023). Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. Journal of Computer Assisted Learning, 39(2), 351–368. https://doi.org/10.1111/jcal.12761 [Google Scholar] [Crossref]

10. Pérez-Marín, D. (2021). A Review of the Practical Applications of Pedagogic Conversational Agents to Be Used in School and University Classrooms. Digital, 1(1), 18-33.https://doi.org/10.3390/digital1010002 [Google Scholar] [Crossref]

11. Rahmawati, Y., Zulhipri, Hartanto, O., Falani, I., & Iriyadi, D. (2022). Students’ conceptual understanding in chemistry learning using PhET interactive simulations. Journal of Technology and Science Education, 12(2), 303-326. https://doi.org/10.3926/jotse.1597 [Google Scholar] [Crossref]

12. Salame, I. I., Kanishka, H., & Ishak, A. (2026). Examining challenges and difficulties students face in learning about stoichiometry in general chemistry courses. Interdisciplinary Journal of Environmental and Science Education, 22(1), e2604. https://doi.org/10.29333/ijese/17701 [Google Scholar] [Crossref]

13. Schroeder, N. L., Davis, R. O., & Yang, E. (2025). Designing and Learning With Pedagogical Agents: An Umbrella Review. Journal of Educational Computing Research, 62(8). https://doi.org/10.1177/07356331241288476 [Google Scholar] [Crossref]

14. Sweller, J., van Merriënboer, J.J.G. & Paas, F. Cognitive Architecture and Instructional Design: 20 Years Later. Educ Psychol Rev 31, 261–292 (2019). https://doi.org/10.1007/s10648-019-09465-5 [Google Scholar] [Crossref]

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