Despite the increasing interest in artificial intelligence technologies in education, there is a gap in understanding the factors influencing the adoption of ChatGPT among Nigerian higher education students. Research has not comprehensively explored these factors in the Nigerian context, leaving a significant gap in understanding technology…

Learner behaviours often provide critical clues about learners' cognitive processes. However, the capacity of human intelligence to comprehend and intervene in learners' cognitive processes is often constrained by the subjective nature of human evaluation and the challenges of maintaining consistency and scalability. The recent widespread AI…

Artificial intelligence (AI) is currently leading an industrial revolution in most aspects of human life, and education is no exception. With the increasing ratio of students to faculty, AI could be an extremely beneficial tool for individual mentoring; for example, for cases of dropout and for student retention. While many models have already…

To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…

This study explores the role of Artificial Intelligence Generated Content (AIGC) in undergraduates' learning and research, and its increasing significance in higher education. Against this backdrop, understanding college students' attitudes, behaviors, and intentions towards AIGC is beneficial for better guiding their learning under the support of…

Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…

Purpose: To contribute to achieving the Sustainable Development Goals, this study aims to explore how to encourage innovative green behaviors among college students and the mechanisms behind the formation of green innovation behavior. Specifically, this study examines the influences of schools, mentors and college students themselves.…

Background: The growth of online education has provided flexibility and access to a wide range of courses. However, the self-paced and often isolated nature of these courses has been associated with increased dropout and failure rates. Researchers employed machine learning approaches to identify at-risk students, but multiple issues have not been…

The education of children with disabilities in the regular educational environment has long been an expectation of legislation in many countries. Yet some children with autism spectrum disorder (ASD) are educated outside regular classes. Despite the obvious importance that educational placement holds for any child, there is limited research on how…

Background/purpose: With the rapid growth of digital engagement among adolescents, cyberbullying has become a significant challenge that threatens students' psychological well-being, peer relationships, and the overall school climate. This study examines whether digital empathy and emotional intelligence can serve as protective factors against…

The problem of student dropout in higher education has gained significant attention within the Educational Data Mining research community over the years. Since student dropout is a major concern for the education community and policymakers, many research studies aim to evaluate and uncover profiles of students at-risk of dropping out, allowing…

As an increasing number of individuals with autism spectrum disorder (ASD) matriculate on college campuses, all stakeholders should be prepared to meet their needs. Despite a body of literature describing adaptive behavior deficits of individuals with ASD, there is a paucity of research examining these skills among those who are college-ready. The…

Ecological intelligence is a comprehensive understanding that aims to create an awareness regarding how human activities affect ecosystems and to promote preventing unconscious consumption behaviors that would lead to a sustainable life. It enables us to take social, economic and environmental responsibility, also to act cooperatively and…

ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…

Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…