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Examining the Factors Related to Learners’ Intention and Usage Continuity of Online Learning Cover

Examining the Factors Related to Learners’ Intention and Usage Continuity of Online Learning

Open Access
|Apr 2024

Abstract

The aim of this study is to examine the variables that influence the learners’ intention of using online learning platforms and usage behavior continuity to evaluate relationships between variables with a model proposal and to determine the predictive power of the model. Accordingly, a sustained technology acceptance model (STAM) was developed to identify the factors that influence learners’ intention and usage behavior of online learning. The sample of this study consisted of learners registered in the Anadolu University Open Education System. As a result of the factor analyses, a 42-item measurement tool consisting of eleven factors was developed. Structural equation modeling revealed that the eleven-structured model explained 49.8% of perceived usefulness, 30.3% of perceived ease of use, 39.4% of usage intention, and 52.4% of usage behavior continuity, and all 12 proposed hypotheses were supported. The analysis to determine the predictive power of the model revealed that it has a strong predictive power. The developed model is believed to be efficient in determining learners’ expectations, supporting their adaptation to the online learning environment, and ensuring their continued usage.

Language: English
Page range: 195 - 207
Submitted on: Jun 23, 2023
Accepted on: Nov 20, 2023
Published on: Apr 3, 2024
Published by: International Council for Open and Distance Education (ICDE)
In partnership with: Paradigm Publishing Services

© 2024 Abdulvahap Sönmez, Nilgün Özdamar, published by International Council for Open and Distance Education (ICDE)
This work is licensed under the Creative Commons Attribution 4.0 License.