Exploring the dynamics of student learning behavior in higher education: an expanded theory of reasoned action approach

Purpose This research aims to enhance the model of student learning behavior by expanding the traditional theory of reasoned action (TRA) to incorporate variables such as student mental well-being (SMW), attitude, subjective norms (SNB), perceived behavioral control (PBC) and climate change concerns. The study examines students’ intentions as a mediator variable and student area as a moderator variable in student learning behaviors. Design/methodology/approach A structured questionnaire was administered to 610 higher education students in Gujarat, exploring variables related to student characteristics, mental well-being, attitudes, SNB, PBC, Climate change concerns (CML), change concerns and intentions to study. Data analysis involved descriptive statistics, exploratory factor analysis and structural equation modeling with mediation and moderation analyses using SPSS 22 and AMOS 26. Findings The empirical findings support the hypothesized relationships within the expanded model, indicating significant contributions of SMW, attitude, SNB, PBC and CML to forming solid intentions to pursue education. Additionally, the study reveals a positive association between intention and subsequent learning behavior moderated by the student residence area. Research limitations/implications The study confirms the proposed relationships within the expanded model, with SMW significantly influencing students’ academic intentions. Factors like attitude, SNB and climate change are crucial in shaping educational pursuits. The research enriches educational psychology by detailing the complex influences on student learning behavior, offering insights for enhancing educational strategies and outcomes as the academic environment evolves. Originality/value This research offers an innovative approach by expanding the traditional TRA to explore the influences on student learning behavior in education comprehensively. Integrating variables such as SMW, attitude and CML provides a nuanced understanding, contributing to theoretical development and practical educational implications.