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Online teaching competencies are critical skills required for effective teaching and learning in higher education. However, evidence regarding the impact of online teaching competencies on teacher performance and career satisfaction is minimal in the literature. This study draws on the TPACK model to understand how online teaching competencies influence teacher performance and career satisfaction.

The study adopts a quantitative approach and collected data from 243 faculty in both public and private universities in Ghana. Structural equation modelling was used to examine the relationships among the study constructs.

The results show that the various dimensions of TPACK have a significant positive effect on teacher performance and career satisfaction. Furthermore, the mediation results reveal that neither perceived career support nor teacher attributes mediate the relationship between online teaching competencies, teaching performance and career satisfaction.

This paper provides a better understanding of how context knowledge, pedagogical knowledge, pedagogical context knowledge, technology pedagogical knowledge, career support and teacher attributes affect teacher performance.

This study draws on the TPACK (context knowledge, pedagogical knowledge, pedagogical context knowledge and technology pedagogical knowledge) model and incorporates perceived career support and teacher attributes as essential characteristics within an emerging economy country context.

This study examines learner satisfaction and success as mechanisms through which online learning quality translates into learners’ continuous intentions of use by extending DeLone and McLean’s information system success model. It also examines the moderating effect of perceived supervisory support and learners’ self-regulation on online learning quality in Higher Education Institutions.

Survey data were obtained from 540 students in both private and public higher institutions of learning in Ghana. The Partial Least Squares – Structural Equations Modelling (PLS-SEM) technique was used to test the hypothesised relationships.

The results revealed that system quality emerged as the single most important variable in the DeLone and McLean model, that influences learner success and satisfaction. Further, learner satisfaction has a significant positive effect on learner attitudes, whilst self-regulation was found to moderate the relationship between online learning quality and learner success as well as learner satisfaction.

The study appears to be among the first to explore the inter-relationship among online learning environment quality and learner attitudes and moderating factors perceived supervisory support and self-regulation. The study highlights insightful practical implications for students, faculty and administrators of higher institutions.