Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…

This study investigates the impact of an AI-enabled Collaborative Online International Learning (COIL) program on the intercultural competence of Chinese English majors. The research employs a mixed-methods approach, combining quantitative analysis of pre-test and post-test data with qualitative insights from participant interviews. Participants…

'Perhaps we should all stop for a moment and focus not only on making our AI better and more successful but also on the benefit of humanity'. - S. Hawkins, Web Summit, 2017. This international collaborative piece argues for a paradigm shift in our use and understanding of Artificial Intelligence (AI) in education, and in the development of…

This paper explores the complexities of co-authorship involving generative AI in academic contexts, focusing on an honors English class where students engaged with AI tools like ChatGPT. It critiques the boundaries of authorship as defined by COPE, which argues AI cannot be an author due to its lack of accountability. The study explores the…

The rise of AI-assisted writing tools has transformed academic literacy, as it offers students support in grammar correction, sentence structure, and idea generation. However, concerns about academic integrity and over-reliance on AI are on the increase. This study investigates how Nigerian university students use AI writing tools and examines…

The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…

The aim of this study is to conduct a comprehensive analysis of scientific studies on the sustainability of artificial intelligence (AI) in education in the 21st century, based on the Web of Science (WoS) database, using systematic and bibliometric methods. In this context, a total of 237 articles on the sustainability of AI in education, covering…

People view many attributes, including intelligence, through implicit theories (or mindsets). Entity mindsets position the attribute as unchangeable or static, whereas incremental mindsets see the attribute as malleable or capable of being changed/improved (Dweck & Leggett, 1988). The present studies examined a new questionnaire designed to…

Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…

[This paper is part of the Focused Collection in Investigating and Improving Quantum Education through Research.] One of the greatest weaknesses of physics education research is the paucity of research on graduate education. While there are a growing number of investigations of graduate student degree progress and admissions, there are very few…

In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…

Armed conflicts violate young people's rights by exposing them to violence and trauma, disrupting their sense of safety. This study examines how Russia's war against Ukraine affects Ukrainian adolescents' lives. The study utilizes data from Let's Chat, a free, low-threshold support service for Ukrainian-speaking children and youths. We analyzed…

While offering the potential to support learning interactions, emerging AI applications like Large Language Models (LLMs) come with ethical concerns. Grounding technology design in human values can address AI ethics and ensure adoption. To this end, we apply Value-Sensitive Design--involving empirical, conceptual and technical investigations--to…

This systematic review explores the use of Intelligent Tutoring Systems (ITS) in fostering creativity, innovation, and personalized learning experiences among university students in Ghana. The review also examines the challenges associated with the implementation of ITS, along with the ethical considerations involved. Employing an interpretive…

Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…