doi: 10.18178/ijiet.2026.16.2.2518
Breaking Traditions with Innovations: An e-Learning Course Packet (eLCP) in Educational Statistics Vis-à-Vis SPSS and Jamovi
Roberto G. Sagge Jr.1,*
,
Renato V. Herrera Jr.1 ,
Garry C. Cachuela1 ,
Salvador P. Bacio Jr.1 ,
Antoniette D. Cortez1 ,
Marian Grace A. Cabiles2
- 1College of Education, West Visayas State University, Iloilo City, Philippines
- 2College of Arts and Sciences, West Visayas State University, Iloilo City, Philippines
- Manuscript receivedSeptember 9, 2025
- revisedSeptember 28, 2025
- acceptedOctober 11, 2025
- publishedFebruary 12, 2026
Abstract
Students and educators frequently encounter difficulties in applying statistical concepts due to limited exposure to statistical software and a scarcity of interactive learning materials. These challenges, alongside persistent low mathematics proficiency and frequent class disruptions in the Philippines, highlight a critical need for flexible and effective learning solutions. This paper details a design and development research focused on creating and evaluating an e-learning course packet in educational statistics. The primary aim was to enhance statistical proficiency and practical application skills among graduate students through the integration of Statistical Package for the Social Sciences (SPSS) and Jamovi. Grounded in e-learning and constructivist principles, the study employed Educational Design Research (EDR) methodology, involving a comprehensive needs assessment, validation by 10 experts, and pilot testing with 48 graduate students. The findings revealed that experts rated the course design as “Excellent” for its clarity, relevance, and technology integration. Furthermore, high student engagement was observed, with 97% module completion and substantial utilization of both SPSS (90%) and Jamovi (85%) for practical exercises. Pre- and posttest results demonstrated a statistically significant improvement in student proficiency (means: 55.2 to 82.5; t = 10.23, p = 0.001), indicating a very large effect size. Students also reported high overall satisfaction with the course packet (4.66 “Excellent”). This e-learning solution effectively bridged the theory-practice gap, equipping graduate students with essential analytical competencies and contributing to an enhanced statistical education for a data-driven world.
Keywords
- e-learning
- educational statistics
- Statistical Package for the Social Sciences (SPSS)
- Jamovi
- statistical proficiency
- educational design research
How to Cite
Roberto G. Sagge Jr., Renato V. Herrera Jr., Garry C. Cachuela, Salvador P. Bacio Jr., Antoniette D. Cortez, and Marian Grace A. Cabiles, "Breaking Traditions with Innovations: An e-Learning Course Packet (eLCP) in Educational Statistics Vis-à-Vis SPSS and Jamovi," International Journal of Information and Education Technology, vol. 16, no. 2, pp. 454-463, 2026. https://doi.org/10.18178/ijiet.2026.16.2.2518
Copyright & License
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).