Abstract

PurposeIn today’s dynamic situation, innumerable challenges are posited in the education sector because of the COVID-19 pandemic. Higher educational institutes (HEIs) are compelled to adopt digital technologies and technology-mediated learning in the teaching-learning processes. The purpose of this paper is to understand the factors affecting learning effectiveness, learning satisfaction and the mediating role of prerecorded videos from the learners’ perspective.Design/methodology/approachA self-designed structured questionnaire based on previous similar studies is adopted as a survey instrument. It consists of 22 questions to address the five constructs of the proposed hypothesized conceptual model, developed for the study. Data of 311 students from HEIs of Maharashtra state in India were collected. Confirmatory factor analysis is carried out to test the model fitness, reliability and validity, and structural equation modeling is applied to conduct path analysis and hypotheses testing of the model.FindingsHypotheses testing reveals that perceived usefulness (PU) significantly affects the perceived learning effectiveness, which again affects the learning satisfaction of the students. In addition, perceived ease of use affects the PU as suggested in the technology acceptance model. The prerecorded videos have a moderating role to play in the computer self-efficacy and the perceived learning effectiveness of the students. This research will provide meaningful acumen to enhance the overall learning process among students in urban as well as rural India.Originality/valueThis study explores the technology-mediated learning during the unexpected and dynamic situations of the COVID-19 pandemic in the context of higher education in India. For sustainable use of technology-assisted learning, educators must understand the key factors that influence students’ learning effectiveness and satisfaction. The research outcomes will lead toward developing the human capacities, as the prerecorded videos at the HEIs of India will provide new approaches for effectively adopting digital technologies and technology-mediated learning.

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