2026· International journal of research and innovation in social science· 0 citations
Abstract
This study assesses student motivation in online learning environments, with the purpose of exploring how affiliation influences learners’ power and achievement in university learning. The study is guided by McClelland’s Theory of Needs (1965) and Fowler’s (2018) online motivation framework, which frame motivation through affiliation, power, and achievement. The research problem concerns the difficulty of sustaining motivation online, where students may experience isolation, reduced focus, and heavy demands for self-discipline despite the normalisation of virtual education. A quantitative survey design was employed using a convenient sample of 199 students. Data were collected through a five-point Likert-scale questionnaire adapted from Fowler’s motivation to learn online instrument and analysed using descriptive statistics, reliability analysis, t-tests, and Pearson correlation in SPSS. The findings showed no significant differences in online motivation across gender, clusters, education background, and academic years, suggesting that demographic factors were not the main source of motivational variation. The findings also revealed that learners perceived affiliation, power, and achievement positively, while affiliation had strong positive relationships with both power and achievement. Overall, online motivation appears to depend strongly on meaningful connection and instructor support. The study implies that educators should design affiliation-rich online learning environments, while future research should use mixed-method approaches to examine learner motivation.
The findings highlight the importance of strengthening students’ confidence, providing meaningful and socially supportive online learning experiences, and integrating ChatGPT through structured AI-literacy guidance that promotes critical and responsible use.
N. Jenal, Siti Aishah Taib, Nadzrah Sa'adan et al.· International journal of res...· 0 citations
The findings suggest that high levels of technology use and academic motivation do not necessarily translate into improved academic performance in Literature.
Bernie L. Fuentes, Lorelie D. Honesto· International journal of res...· 0 citations
The Online Learning Readiness Scale demonstrated satisfactory validity and reliability, and the findings highlight the need to strengthen students’ communication self-efficacy and learner control for more effective online learning.
A. Shayestehfar, N. Pourasghar, Marjan Masoomifard et al.· Assessment and Practice in E...· 0 citations
Perception of online learning was significantly correlated with age, academic stress, and self-regulation, and the model suggested that age and academic self-regulation patterns were significant predictors of perceived online learning experience, while academic stress did not appear to influence this outcome.
María Antonieta, Diana Arias-Gómez, Universidad et al.· 0 citations
Motivation is one of the central conditions that shapes how students engage with learning, regulate effort and respond to academic difficulty. This article examines motivation as a multidimensional educational mechanism rather than as a simple desire to obtain high marks. Its purpose is to explain how the quality of mo...
Khatira Musayeva, Rena Zulfiqarova· Porta Universorum· 1 citation
The results support the Self-Determination Theory as a valid framework for online learning motivation and show that ChatGPT can promote learners' competence, autonomy, and relatedness if responsibly integrated into online learning settings.
E. S. Mohandas, Aini Faridah Azizul Hassan, Nor Azyyati Md Saad et al.· International journal of res...· 0 citations
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