Analysis Of Quality Of Mobile Learning (QML) And Its Sustainable Use: Task Technology Fit & Expectation Confirmation Approach

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Dr. Kaushal Bhatt
Dr. Amit A Rajdev
Dr. Kinjal Bhatt

Abstract

The purpose of the study was to analyze the quality of mobile learning from the perspective of the students studying in higher educational institutions. The sustainable use of mobile learning and satisfaction of students were analyzed using task-technology fit, expectation-confirmation model and input output model. The study was confirmatory in nature and cross-sectional research design was used. 321 students were selected using convenience sampling method from seven different higher educational institutions of Gujarat (India). The structured questionnaire was used to collect the data. Two multiple linear regression models were used to identify the predictors of satisfaction and sustainable use of mobile learning. SPSS was used to analyze the data. The results indicate that satisfaction of the students from mobile learning is more influenced by process part while sustainable use of mobile learning is influenced by resource part of mobile learning

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How to Cite
Dr. Kaushal Bhatt, Dr. Amit A Rajdev, & Dr. Kinjal Bhatt. (2024). Analysis Of Quality Of Mobile Learning (QML) And Its Sustainable Use: Task Technology Fit & Expectation Confirmation Approach. Educational Administration: Theory and Practice, 30(4), 4170–4181. https://doi.org/10.53555/kuey.v30i4.2172
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Author Biographies

Dr. Kaushal Bhatt

Associate Professor, Graduate School of Management Studies, Gujarat Technological University, Ahmedabad, Gujarat, India

Dr. Amit A Rajdev

Associate Professor, Department of Management, Faculty of Business and Commerce, Atmiya University, Rajkot, Gujarat, India.

Dr. Kinjal Bhatt

Assistant Professor, Shri V M Mehta Muni. Arts & Commerce College, Jamnagar, Gujarat, India.