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Understanding mobile learning acceptance among university students with special needs: An exploration through the lens of self‐determination theory.
- Source :
-
Journal of Computer Assisted Learning . Aug2024, Vol. 40 Issue 4, p1838-1851. 14p. - Publication Year :
- 2024
-
Abstract
- Background: Despite the significant emphasis on self‐determination in special education and the crucial role of mobile learning, there is a notable absence of path modelling studies that explore the effect of self‐determination on the usage of mobile learning by students with special needs. Objectives: This study sought to investigate the intentions of mobile learning usage among students with special needs by proposing a model rooted in the technology acceptance model, complemented by extraneous constructs from self‐determination theory (competence, autonomy and relatedness). Methods: The data of the study was obtained online from 1298 special needs university students with eight different types of disabilities. Data were analysed with descriptive statistics, confirmatory factor analysis, structural equation modelling and bootstrapping. Results and Conclusions: The proposed model explained 78.4% of ease of use, 85.2% of usefulness, and 76.5% of intention. 11 of the 12 hypotheses tested within the scope of the model were supported. All hypotheses examining the impacts of self‐determination theory constructs on ease of use, usefulness, and intention were validated (8 hypotheses), with the exception of the autonomy → intention relationship. Substantial empirical evidence has been acquired to support the role of the self‐determination theory in exploring the intention toward mobile learning among university students with special needs. Concurrently, a robust theoretical framework has been introduced to the field of special education to elucidate the acceptance and utilization of technology by university students with special needs. Lay Description: What is already known about this topic: Numerous studies have demonstrated the significance of mobile tools and mobile learning in the realm of special education.Self‐determination holds immense importance in fostering independence and social engagement by empowering individuals with special needs to gain confidence, assume control and accountability for their own choices and actions.Self‐determination theory underscores the importance of providing individuals with support for three fundamental psychological needs—autonomy, competence, and relatedness—to foster healthy development. What this paper adds: To the best of the authors' knowledge, this study stands as a unique contribution within its field due to its distinctive characteristics. The model, supported by exceptionally successful outcomes and its ability to elucidate technology acceptance constructs at remarkably high levels, offers a robust theoretical framework for enabling students with special needs to engage effectively with mobile learning in both special and inclusive educational settings.Investigating how self‐determination theory enhances the explanatory power of the technology acceptance model in special education.Illuminating the significance of basic psychological needs in the adoption of mobile learning, employing advanced statistical methods with a substantial participant base, and delivering valuable insights to advance the utilization of mobile learning in special education. Implications for practice and/or policy: Special education settings should encourage students to take initiative, make choices, and exercise autonomy, and curriculum design should include opportunities for students to make choices.Making students part of the design processes and emphasizing usability through the prioritization of customizable, user‐friendly designs should be an inherent aspect of educational technology.Educators and support staff must have training and professional development opportunities to effectively use mobile learning tools and create inclusive learning environments. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MOBILE apps
*SCALE analysis (Psychology)
*AUTONOMY (Psychology)
*CRONBACH'S alpha
*STATISTICAL sampling
*DESCRIPTIVE statistics
*STRUCTURAL equation modeling
*PATH analysis (Statistics)
*PSYCHOLOGY
*INTENTION
*TECHNOLOGY
*MATHEMATICAL models
*CONCEPTUAL structures
*PSYCHOLOGY of college students
*LEARNING strategies
*THEORY
*COMPUTER assisted instruction
*SPECIAL education
*DATA analysis software
*FACTOR analysis
RESEARCH evaluation
Subjects
Details
- Language :
- English
- ISSN :
- 02664909
- Volume :
- 40
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Journal of Computer Assisted Learning
- Publication Type :
- Academic Journal
- Accession number :
- 178531919
- Full Text :
- https://doi.org/10.1111/jcal.12986