The rapid development of generative artificial intelligence (GenAI) technologies has sparked widespread discussions about their potential applications in higher education. However, little is known about how students from various disciplines engage with GenAI tools. This study explores undergraduate students' GenAI knowledge, usage intentions, and…

This study qualitatively examined an integrated cross-community approach to augmenting research courses with (a) non-competitive gamification and (b) AI. Unlike other studies, ours was proactive, non-COVID derived, non-competitive, and rooted in a variety of instructional and technology expertise resources. Its three aims were (1) increasing…

As artificial intelligence (AI) gains prominence, its integration into second language (L2)/foreign language (FL) instruction has become a significant trend. Despite the considerable promise of AI for L2/FL learning, more research is still needed on its effects on student academic engagement in literature classes and the corresponding emotional…

This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…

The adoption of generative AI in educational process carries both potential advantages and risks hence there is a need for ethical principles to guide its adoption in education. A population of 443 TVET educators, including 325 male and 118 female, was selected for this study using a mixed research design from the seven TVET public institutions in…

Higher education is becoming increasingly competitive and all educational institutions are concentrating on improving quality and changing traditional higher education teaching methods. New-type classroom instruction has embraced a unique advancement opportunity with the arrival of the fifth generation (5G) era. It is critical to develop a…

At a time when emerging technologies increasingly transform the workplace and society overall, management educators seem reluctant to fully embrace emerging transformative technologies in their teaching. In this conceptual essay, we argue that this reluctance stems from paradoxical tensions of identity of management educators and students. The…

This study leverages the Stimulus-Organism-Response (S-O-R) framework to investigate the effects of teacher and technical support (TCHS) on learners' willingness to communicate (WTC) in artificial intelligence (AI)-enhanced English as a foreign language (EFL) contexts, considering the mediating effects of learners' artificial intelligence literacy…

This systematic literature review explored the impact of integrating AI tools in higher education using the Zone of Proximal Development (ZPD) by Lev Vygotsky. It examined how AI tools assist the students in identifying and operating within their ZPD, how to create and facilitate a collaborative learning environment, and how to provide the…

Artificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI-supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains,…

Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…

This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…

With the rapid emergence of artificial intelligence (AI) tools in the academic realm, understanding their implications, advantages, and challenges becomes crucial. ChatGPT, a leading AI conversational model, has gained significant traction in educational settings, warranting a comprehensive investigation into its academic impact. This systematic…

Artificial intelligence (AI) is now affecting all aspects of our social lives. Without always knowing it, we interact daily with intelligent systems. They serve us invisibly. At least that is the goal we assign to them: to make our lives better, task by task. Artificial intelligence has the potential to make biology education more engaging,…

With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…