Information on the emotional outcomes of e-learning system use and emotional aspects of user experience in higher education is quite limited. Accordingly, the aim of the study is to identify the factors that influence university students’ intention to continue using e-learning systems and to examine the emotional outcomes of the continuance intention. The core constructs of the Technology Acceptance Model formed the basis of the proposed model, and the model was extended with a framework of emotions (challenge, achievement, deterrence, loss) and external variables. Data were collected online from 19,530 university students of a state university. For the analysis, Partial Least Squares-Structural Equation Modeling was employed. The proposed model explained 73.5% of continuance intention, 50.3% of achievement, and 52.2% of challenge emotions. In addition, 23 of the 25 tested hypotheses were supported. The findings indicate that perceived usefulness is a decisive factor in creating user experiences that generate emotions such as enjoyment, playfulness and satisfaction. In addition, the results showed that personal innovativeness strongly influenced the core constructs of technology acceptance model and the positive aspects of emotions (achievement and challenge). Accordingly, it can be stated that these findings lead us to the fact that students’ value perceptions regarding e-learning systems have a critical role in terms of emotional outcomes. In addition, the findings suggest that both intrinsic-extrinsic motivators, innovativeness characteristics and emotional outcomes should be taken into account in design and development process in order to improve the quality of the user experience. In this direction, implications for research and practice are discussed.
The vital role of motivation becomes even more evident when considering the digital transformation of learning and teaching environments, especially with the effect of the pandemic. Basic psychological needs and emotions, which have not been comprehensively examined together despite their important roles in motivating, draw attention. Accordingly, this study aims to reveal the psychological, emotional, and individual variables that influence the pre-service teachers' intention to use technology, and to evaluate and validate the predictive power of a proposed model. The technology acceptance model formed the basis of the proposed model, and the model was extended with the self-determination theory (competence, autonomy, relatedness) and a framework of emotions (enjoyment, playfulness, anxiety, frustration). Data were collected online from 591 pre-service teachers studying in 10 different departments of a state university. In data analysis PLS-SEM, PLSpredict and multi-group analysis were performed. The results revealed that the model explains 79.8% of the intention and that the predictive power of the model is high. The relationship between competence and perceived ease of use represents the strongest relationship in the model, and the most influential construct on intention is enjoyment. These findings suggest that both intrinsic and extrinsic motivation play a major role in technology acceptance, especially during the pandemic. In addition, innovativeness, which is related to technology use and motivation, had various moderator effects on the relationships. Findings indicate that the model, which offers a motivational approach based on basic psychological needs and emotions, provides rare information and has high relevance for the field.
Empirical evidence on the e-learning adoption in the field of special education is quite limited. Path modelling in particular draws attention as an important methodological gap. Therefore, a model that can provide a theoretical basis for practice in special education has the potential to make significant contributions. Accordingly, this study aimed to identify the factors influencing the intention to use e-learning systems by proposing an extended technology acceptance model for special education. The participant group consisted of 1713 university students with special needs receiving education through the e-learning systems of a state university. For analysing the data, partial least squares-structural equation modelling was used. The results showed that the model explained 76.9% of intention to use e-learning systems. Perceived ease of use and perceived usefulness had the strongest relationship in the model while that between perceived enjoyment and behavioural intention represented the strongest relationship in terms of influence on intention. In addition, hypothesis tests revealed that both social and individual-emotional factors affected intention to use e-learning, and constructs that provide intrinsic motivation and constructs of extrinsic motivation associated with performance improvement play a critical role in e-learning adoption. Accordingly, implications for research and practice are discussed. Implications for practice or policy: It is critical for instructional designers, special education experts and policymakers to consider the effects of core acceptance constructs, both in terms of competence in and tendency to use e-learning systems. E-learning system designs that can meet the expectations arising from social norms and can contribute to strengthening the sense of belonging may have a crucial role. It is vital to consider the enjoyment elements in terms of ensuring quality learning through online education.
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