A Proposed Model for Evaluating Quality of Technology Enabled Learning in Management Education Programmes

Most businesses today have started utilizing innovative informational technologies such as digital marketing, fin-tech, digital human resources management and business analytics. Educating people on these new skills presents a business opportunity for educational technology (edtech) companies. Many technology-enhanced learning (TEL)-based business education programmes are being developed recently, promising to enhance professional skills and knowledge. The marketing information surrounding these programmes overloads learners' minds and makes it impossible to determine which programmes are worth their time and money. Such learning solutions are developed using competency-based education (CBE) frameworks and by leveraging TEL environments. Moreover, the complexity of CBE-TEL-based interventions makes it difficult to evaluate their quality. The present study intends to overcome this challenge by identifying the qualitative factors that enhance professional competence in TEL environments. The study proposed a new model called 'Competence Based Technology Enabled Learning' (COBTEL), which has been empirically tested for its validity and reliability. The model is analysed using partial least squares algorithm-based structural equation modelling to evaluate TEL-based programmes' competence-enhancing aspects from the learners' perspective. In addition, the utilization of the COBTEL model would assist institutes, universities and governments in improving the quality of management education programmes.