Enhancing Academic Decision-Making Through the Neuro-Linguistic Programming Meta-Model Technique. A Case of Third-Year Undergraduate EFL Students at Mohamed Boudiaf M’sila University

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Date

2025-07-09

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UNIVERSITY OF MOHAMED BOUDIAF- M’SILA

Abstract

Abstract Academic decision-making is a crucial yet understudied factor that shapes educational trajectories. In this context, enhancing academic decision-making among students is the primary focus of this study, as it holds significant importance in cultivating critically self-aware learners capable of making informed and rational educational choices without the interference of cognitive biases. Neuro-Linguistic Programming (NLP), a psychological approach that examines the relationship between language, cognition, and behavior, offers its Meta Model technique —a structured method by which constraints in thought and communication patterns are identified and resolved. This study bridges the gap in research by investigating the efficacy of NLP’s Meta Model as an intervention to enhance academic decision-making among third-year EFL undergraduates at Mohamed Boudiaf M’sila University. Furthermore, it employs a mixed-methods approach with a quasi-experimental design to thoroughly investigate the research problem and address the study's guiding questions. The Meta Model intervention, applied to the selected sample, demonstrates significant effectiveness in enhancing academic decision-making. Focus group results combined with quantitative analysis revealed an 8.4-point mean improvement between the ADM pre-test and posttest, with a paired t-test showing statistical significance (p < 0.001). These findings confirm measurable progress in students' decision-making capabilities. Moreover, despite the limited study sample, the findings of this study offer actionable insights for students, educators, and policymakers, potentially advancing NLP’s applicability in education and providing a framework for scalable decision-making interventions.

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Keywords: Academic Decision-Making, Neuro-Linguistic Programming, Meta Model Technique, Cognitive biases, Master’s Program selection.

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