Factors impacting acceptance of e-learning in India: learners' perspective

Sanya Duggal

14 citations0/0 files storedAAOU Journal/AAOU journal

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Technology Adoption and User Behaviour Online and Blended Learning Technology-Enhanced Education Studies

Abstract

Purpose This study aims to identify the most significant factors that influence acceptance of e-learning in India. As e-learning has gained popularity in the wake of the COVID-19 pandemic and continues to be one of the most sustainable methods of education, it is pertinent to examine learners' perception towards its acceptance. There is limited literature available on this subject in India, especially factoring in impact of the pandemic. Design/methodology/approach This study empirically analyses data of 331 adult e-learners in India, who have enrolled for one of the following e-learning formats: higher education, private coaching, test preparation, re-skilling and online certifications, corporate training and hobby and language-related learning. Their perception is examined on the basis of a model developed using the Unified Theory of Acceptance and Use of Technology model. Data are analysed through structural equation modelling using SPSS and AMOS statistical tools. Findings The result of the study shows that Infrastructure Dependability, Effectiveness of Design and Content of Courses and Student's Competency with Computers are the top three factors impacting e-learning acceptance in India. Research limitations/implications This study makes several theoretical contributions. Additionally, research findings and recommendations will facilitate education providers, corporates in the education industry and policymakers to focus on the significant areas for enhancing the acceptance of e-learning. Originality/value This study identifies and confirms important factors that influence e-learning acceptance and suggests opportunities for further in-depth research and analysis.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 14 citations exist upstream.

References

2003User Acceptance of Information Technology: Toward A Unified View1 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 2003The DeLone and McLean Model of Information Systems Success: A Ten-Year Update 1997A Respecification and Extension of the DeLone and McLean Model of IS Success 2005Critical success factors for e-learning acceptance: Confirmatory factor models 2000Critical success factors in online education

Cited by

2023“Antecedents promoting e-learner’s engagement behavior: Mediating effect of e-learner’s intention to use behavior”

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.