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Journal Evaluation in Education (JEE)
Published by Cahaya Ilmu Cendekia Publisher
ISSN : 27164160     EISSN : 27161595     DOI : https://doi.org/10.37251/jee
Core Subject : Education, Social,
Education Social Sciences Other
JEE publishes high-quality methodological assessment, evaluation, and study research texts in various educational settings and scientific disciplines with their own specific phenomena, as well as related studies that address issues of concern to education today. JEE discusses scientific research on how assessment and evaluation can improve educational outcomes; research on how various scientific disciplines can inform theoretical, practical, and political perspectives at various levels and education systems. This journal mainly covers manuscripts in the following fields: • Performance assessment • Instrument development • Policy analysis • Program evaluation • Test management • Development of research methodology • Curriculum assessment and evaluation • Local and global issue education 21st century • Learning evaluation and assessment • Including child development (childhood, primary, secondary, senior, vocation, and higher education)
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 1 Documents
 1 
Search results for , issue "Vol 7 No 2 (2026): April" : 1 Documents clear
From Regret to Growth: Post-Purchase Dissonance Meaning Reconstruction, and Eudaimonic Well-Being in Digital Education Service Consumption Mohamad Reza Nurpratama; Vanessa Gaffar; Bambang Widjajanta; Lisnawati Lisnawati; Rini Larasati Irawan
Journal Evaluation in Education (JEE) Vol 7 No 2 (2026): April
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jee.v7i2.2419

Abstract

Purpose of the study: This study investigates the transformative role of Meaning Reconstruction (MR) in mediating the relationship between Post-Purchase Dissonance (PPD) and Eudaimonic Well-Being (EWB) in the context of digital education service consumption in Indonesia. Methodology: This study employs a quantitative explanatory design using Structural Equation Modeling–Partial Least Squares (SEM-PLS). Data were collected through web scraping from 500 publicly accessible posts on Twitter (X), Reddit, and TikTok discussing post-purchase experiences with digital education services in Indonesia (2020–2024). Computational text analysis using a fine-tuned IndoBERT model was applied to derive construct scores for PPD (X1–X3), MR (M1–M4), and EWB (Y1–Y4). Indicators were quantified using algorithmically normalized NLP-based semantic intensity scores ranging from 1 to 7, representing computational estimations of construct magnitude rather than self-reported NLP-based normalized semantic score (1–7) responses. Main Findings: Results confirm that PPD significantly influences MR (β=0.446, p<0.001) and MR strongly predicts EWB (β=0.481, p<0.001). The direct path PPD→EWB is significant (β=0.176, p<0.001), while the indirect effect via MR is also significant (β=0.214, t=8.248, p<0.001), with a Variance Accounted For (VAF) of 54.8%, indicating partial mediation. R²(MR)=0.199 and R²(EWB)=0.338. All measurement model criteria are satisfied: outer loadings >0.70, AVE >0.50, CR >0.70, and HTMT <0.85. Novelty/Originality of this study: Reconstruction as a critical transformative mechanism, reframing post-purchase dissonance from a purely negative outcome into a catalyst for consumer psychological growth. The use of computational text analysis (NLP + web scraping) as an alternative to conventional surveys further contributes methodological novelty.

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