Analysis of Using Structural Equation Modeling of the Publipreneur-Based Language Learning Approach for Specific Purposes at Polimedia

Zalzulifa, Nasaruddin, Nurhaedah Gailea, Eni Minarni, Loso Judijanto

Abstract

This study develops and validates a standardized instrument for assessing students’ perceptions of the Publipreneur-Based Language Learning (PBLL) approach and examines its structural relationships with five key outcomes—motivation, technology use, constructive lecturer feedback, student collaboration, and perceived relevance to learning objectives—within the English for Specific Purposes context at Polimedia Kreatif Jakarta. Using a cross-sectional survey design, data were collected from 530 undergraduate students (population = 538) and analyzed with structural equation modeling in LISREL 8.80. Thirty-two items met the criteria for reliability and validity (Composite Reliability = 0.99; Average Variance Extracted = 0.86). Overall model fit indices indicated a well-specified model (RMSEA, RMR, CFI, TLI/NNFI, NFI, IFI, PGFI, PNFI, and RFI all within acceptable thresholds).
Hypothesis testing revealed significant positive effects of PBLL on student motivation (t = 17.80), technology use (t = 16.99), constructive feedback (t = 17.56), collaboration (t = 15.63), and relevance to learning objectives (t = 19.14) (all p < .01). These findings underscore PBLL’s pedagogical value in fostering learner engagement and goal alignment. Practitioners are encouraged to refine classroom practices by closely monitoring student responses to each construct, while researchers should consider replicating the model across diverse contexts to enhance generalisability and enrich the empirical literature on PBLL.

 

Keywords: Publipreneur-based language learning (PBLL), structural equation modeling (SEM), student motivation, educational technology adoption, constructive feedback, collaborative learning, learning relevance.

 

https://doi.org/10.55463/issn.1674-2974.52.5.1


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