Modeling the Determinants of Students’ Satisfaction and Continuance-Intention Toward a Mathematics and Science Distance Education Program

Brandford Bervell, Paul Nyagorme, Justice K. Armah, Emmanuel Arthur-Nyarko, Valentina Arkorful and Benjamin Eduafo Arthur

SAGE Open, 2024, vol. 14, issue 1, 21582440241234743

Abstract: A distance education Diploma and Bachelor’s degree in Mathematics and Science programs are faced with low enrollment and graduation rate as well as high attrition of students. The aforementioned challenges are attributed to students’ satisfaction and continuance intention. However, students’ satisfaction and continuance intention toward distance education programs are as a result of certain antecedents. This modeled the determinants of satisfaction and program continuance intention by the distance education students on the math and science programs. Based on this, a quantitative approach based on a census survey was adopted and data collected from 113 students through a questionnaire and analyzed using a structural equation modeling approach based on partial least squares structural equation modeling (PLS-SEM). The results of the study showed that two key antecedents: student-instructor interaction, and study center physical facilities determine program satisfaction of mathematics and science distance students. However, administrative support of the program determined instructional modules; facilitation quality was predicted by both instructional modules and laboratory facilities. Finally, students program continuance intention was predicted by satisfaction of the program. Based on the findings, recommendations were made for policy and practice toward improving students’ satisfaction and promote positive intention in pursuant of mathematics and science education program by distance mode.

Keywords: STEM education; distance education; satisfaction; program continuance intention; determinants; structural equation modeling (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:14:y:2024:i:1:p:21582440241234743

DOI: 10.1177/21582440241234743

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