This study aimed to provide an in-depth understanding of English as a Foreign Language (EFL) students' perceptions concerning both the benefits and limitations of Artificial Intelligence (AI) in the context of critical thinking. Utilizing a qualitative research design that focuses on case studies and employs semi-structured interviews, seven…

This study explores the potential benefits of integrating Industry 4.0 technologies into educational settings, focusing on Artificial Intelligence/Machine Learning, Augmented Reality, Big Data, Blockchain, Cloud Computing, Internet of Things, Metaverse, Robotics, and Virtual Reality. The aim is to develop learning environments that are more…

This research investigates the factors influencing plagiarism from the perspective of the fraud diamond framework. It aims to obtain empirical evidence that higher pressure, opportunity, rationalization, and competencies influence an increase in plagiarism. Currently, information technology has rapidly advanced, and artificial intelligence has…

This paper addresses the existing gap in the literature on Metaverse applications in education by providing a comprehensive analysis of associated paradigms, platforms, hardware, and software, which have not been systematically reviewed yet. Notably, this study is among the first, to the best of our knowledge, to introduce the pioneering concept…

Artificial intelligence (AI) has transformed education by enhancing personalization and learning efficiency. However, the application of AI in addressing its challenges and potential remains suboptimal. This study aims to provide a bibliometric analysis of AI in Education research, focusing on publications from 2017 to 2023 sourced from…

Artificial Intelligence (AI) influences many activities and aspects of daily life including the higher education environment. AI in education has become vital for educators and researchers. There is a rising debate regarding the positive advantages and how higher education institutions adapt to changes in the learning perspectives of students.…

The objective of this research is to investigate the effectiveness of integrating natural language processing (NLP) technologies into an English language learning program aimed at enhancing auditory and speaking competencies. The methodology of the research is grounded in the development and testing of the intervention effectiveness of neural…

This study investigates the integration of Artificial Intelligence (AI) tools within the School of Arts at a private university in Latin America, focusing on student perceptions and emotional reactions. The research addresses two primary questions: how students perceive the integration of AI tools in their educational experience, and how…

This study explored the integration of Artificial Intelligence (AI) tools in finance education, focusing on student perceptions, emotional reactions, and educator experiences. Quantitative data were gathered using the Synthetic Index of Use of AI Tools (SIUAIT) instrument, administered over three semesters. The findings revealed that finance…

This study investigated English as a Foreign Language (EFL) teachers' beliefs concerning the use of an AI grading tool (CoGrader) for essay scoring and feedback. The study also explored the factors which contributed to those beliefs. EFL teachers (n = 10) from public universities (n = 3) in Saudi Arabia participated in this study. The study…

Language is a powerful tool that facilitates communication, knowledge acquisition, and negotiation of meaning, but it is a complex skill for English as foreign language (EFL) learners who often encounter various challenges and complexities. Among the critical language skills, pronunciation holds a significant place. As much as it is challenging,…

Global businesses are actively embracing Industry 4.0 and digital transformation. Simultaneously, the education sector is leveraging digital tools to foster personalized learning and equity. Universities transcending borders and students becoming increasingly global have opened new frontiers through the use of artificial intelligence (AI)-based…

This paper reports on a mixed-methods study delving into EFL students' experiences and perspectives on a text-based pedagogical chatbot. Utilizing chatbot-mediated interaction, a questionnaire survey, and focus group discussions, the study centers around the cognitive and affective domains of learning in relation to the chatbot's affordances and…

Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…

This study examined factors influencing students' intention to use ChatGPT using UTAUT2 model. The cross-sectional study is based on responses collected from 578 students selected through convenience sampling at a university in Nepal through a structured questionnaire. Using PLS-SEM, the study found that habit ([beta] = 0.315, p < 0.001),…