This paper explores Stanford University's evolution in artificial intelligence (AI) education, emphasizing its interdisciplinary approach and collaboration with Silicon Valley. Building upon the university's foundational integration of liberal arts and industry partnerships, Stanford has facilitated frontier research in AI domains. Key initiatives…

As educational technology advances, the role of artificial intelligence (AI) in enhancing language education becomes increasingly prominent. However, there is a scarcity of empirical research assessing how AI integration influences student engagement and contributes to the language learning performance. This mixed-methods study seeks to fill the…

Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…

Collective Intelligence (CI) is important for groups that seek to address shared problems. CI in human groups can be mediated by educational technologies. The current paper presents a framework to support design thinking in relation to CI educational technologies. Our framework is grounded in an organismic-contextualist developmental perspective…

This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…

Teacher education increasingly requires educators to engage with generative AI technologies, yet critical and reflective engagement opportunities remain scarce. While AI is often framed as a tool for automation, its broader pedagogical and ethical implications receive less attention. To address this gap, we implemented a critical co-discovery…

In this analysis, we review artificial intelligence (AI)-supported personalized learning (PL) systems, with an emphasis on pedagogical approaches and implementation challenges. We searched the Web of Science and Scopus databases. After the preliminary review, we examined 30 publications in detail. ChatGPT and machine learning technologies are…

With the rapid advancement of artificial intelligence (AI) technology, particularly in its application within the field of education, artificial intelligence generated content (AIGC) has become a focal point of academic inquiry. This paper aims to explore the application of AIGC technology in education and its impact on university students'…

Language is an essential component of human communication and interaction. Advances in Artificial Intelligence (AI) technology, specifically in Natural Language Processing (NLP) and speech-recognition, have made is possible for conversational agents, also known as chatbots, to converse with language learners in a way that mimics human speech.…

This research aims to investigate the impact of peer-evaluated internship activities centered on artificial intelligence on engineering students, specifically focusing on their virtual learning competencies, attitudes towards artificial intelligence, and ascertain student perspectives. For this purpose, mixed-methods research has been used. In…

Choosing a Teaching Style is an important decision which affects the different elements of teaching, as well as the students, both men and women. Consequently, this study aims at determining the differences that exist in the emotional intelligence skills in learning dance depending on students' sex, analysing the preferences for the Command…

Purpose: To explore the perspectives of educators, parents, and individuals on the autism spectrum regarding the qualities of teachers best equipped to support autistic students. Methods: In qualitative interviews parents of autistic adults (n = 35) discussed experiences they and their child faced during the school years, as did young autistic…

Metaverse in education has the potential to transform education by providing students with interactive, immersive and personalized learning experiences. This study examined the impact of Metaverse on the perceptions of pre-service science teachers. The study was designed in two stages. In the first stage, semi-structured preliminary interview…

Images generated using artificial intelligence (AI) have become increasingly realistic, sparking discussions and fears about an impending "infodemic" where we can no longer trust what we see on the internet. In this preregistered study, we examine whether providing specific media literacy tips about how to spot AI-generated images can…

As AI increasingly permeates education, understanding teachers' perceptions and interactions with these technologies is essential. The Technological Pedagogical Content Knowledge (TPACK) framework provides a comprehensive lens to examine these interactions with educational AI tools (EAITs). This study explored the factors influencing teachers'…