The research model, which aims to determine the correlation between the level of teacher candidates taking teacher educators as role models in technology use and the level of technology acceptance and use and to what extent teacher candidates taking teacher educators as role models in technology use predicts technology acceptance and use, is a…

In learning analytics and in education at large, AI explanations are always computed from aggregate data of all the students to offer the "average" picture. Whereas the average may work for most students, it does not reflect or capture the individual differences or the variability among students. Therefore, instance-level…

This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…

The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…

The purpose of this study was to examine the relationships among MOOC learners' personal goal achievement, instructor goal achievement, learning experiences measured with perceived learning and course satisfaction, and their continuance intention in a MOOC offered by a research university in the United States. A total of 203 MOOC learners…

Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…

Digital skills are becoming a central theme of educational and developmental strategies and programs, especially because of the different patterns of skills and use of digital technologies in different socioeconomic, educational, and age groups. This research aims to determine the level of digital skills of participants in adult education programs…

Individual interest and self-regulation are two pillars of self-directed learning. Despite empirical evidence on the interaction between the two with respect to academic achievement, few studies have explored how individual interest and self-regulation might interact and relate to self-directed informal learning. This study surveyed 322 university…

This study uses one-step meta-analytic structural equation modelling to delve into the technology acceptance model's (TAM) application within education, assessing perceived usefulness, ease of use, intentions to use, and actual technology use. It synthesises previous findings to validate the TAM's effectiveness and uncover the model's predictive…

Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…

This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…

Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…

Recently, the education sector has received increased interest in terms of the adoption of Internet of things (IoT) services for learning activities. However, despite this interest, empirical studies on the adoption of IoT services in the smart classroom are limited. Thus, the present study examines students' intention to use IoT services in the…

This study used a convergent mixed-methods to assess how well behavioral beliefs, normative beliefs, and control beliefs predict the use of technology within developmental mathematics courses. The Theory of Planned Behavior provided the theoretical framework for this study. The sample consisted of developmental mathematics instructors from across…

Although studies have highlighted the importance of facilitating conditions in enhancing students' digital informal learning (DIL), the effect mechanism is still unclear. This study examined the mediating role of digital competence and the moderating role of technostress between facilitating conditions and DIL. Data were collected from 385…