Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance...

Area of Science:

• Educational Technology
• Higher Education Studies
• Information Systems

Background:

• E-learning is fundamental to modern education, especially post-COVID-19.
• Higher education has undergone significant changes due to the pandemic.
• Student adoption is crucial for effective e-learning implementation.

Purpose of the Study:

• Identify factors influencing students' behavioral intentions towards e-learning.
• Determine factors influencing students' actual usage of e-learning.
• Examine mediation effects among technology acceptance constructs.

Main Methods:

• Quantitative investigation using an online survey.
• Collected 570 responses from higher education students in India.
• Analyzed data using Partial Least Square Structural Equation Modeling (PLS-SEM).

Main Results:

• The proposed model explains 56.2% of the variance in actual usage.
• Personal innovativeness, social factors, and self-efficacy significantly influence e-learning adoption.
• Direct and indirect effects of external variables on Technology Acceptance Model (TAM) constructs were identified.

Conclusions:

• The study validates the explanatory structural model for technology acceptance.
• Findings offer insights for higher education stakeholders to enhance e-learning effectiveness.
• Recommendations include developing more focused and customized e-learning solutions.