International Journal of
Information and Education Technology

Editor-In-Chief: Prof. Jon-Chao Hong
Frequency: Monthly
ISSN: 2010-3689 (Online)
E-mali: editor@ijiet.org
Publisher: IACSIT Press
 

OPEN ACCESS
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IJIET 2026 Vol.16(2): 454-463
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, and Marian Grace A. Cabiles2
1. College of Education, West Visayas State University, Iloilo City, Philippines
2. College of Arts and Sciences, West Visayas State University, Iloilo City, Philippines
Email: robertosagge@wvsu.edu.ph (R.G.S.J.); r_herrerajr@wvsu.edu.ph (R.V.H.J.); gcachuela@wvsu.edu.ph (G.C.C.); salvador.bacio@wvsu.edu.ph (S.P.B.J); acortez@wvsu.edu.ph (A.D.C.); marianegrace.cabiles@wvsu.edu.ph (M.G.A.C.)
*Corresponding author

Manuscript received September 9, 2025; revised September 28, 2025; accepted October 11, 2025; published February 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


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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.


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).

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