A national curriculum cannot be uniformly applied in all classrooms. Educators frequently adapt the official curriculum to suit their particular circumstances. In exploring the interplay between artificial intelligence (AI) technologies and curriculum adaptation in education, this study bridges a significant gap in the literature by exploring how…

Since the rise of generative artificial intelligence (GenAI) in late 2022, many scholars and thought leaders have wondered about its impact on higher education. This study used a survey methodology (three multiple choice questions and one open-ended question) to explore the perspectives of a nationally representative sample of 1,327 U.S.…

With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…

This study explores the factors influencing the acceptance of ChatGPT, an artificial intelligence chatbot, for English Language Teaching (ELT) among Iranian EFL (English as a Foreign Language) teachers. The research framework is grounded in the Technology Acceptance Model (TAM), augmented with external factors pertaining to system characteristics…

Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…

Purpose: Artificial intelligence (AI) is increasingly used in education, yet its cultural impact, especially in Southeast Asian mathematics education, remains underexplored. This gap is significant because understanding cultural adaptation is essential for AI tools to effectively enhance learning in diverse classrooms. This study examines how AI…

This study uses an experimental comparative design to accomplish two primary goals related teachers' perceptions of automated writing evaluation (AWE) performance. First, it quantitatively and qualitatively examines teachers' perceptions of the accuracy and trustworthiness of differentially performing AWE models. Second, it synthesizes interview…

This dissertation consists of two separate studies exploring current and emerging technologies for education. The current technology is presented in the first study as an open educational resource (OER) for language learning. This study explored the affordances of OERs for language by comparing a traditional textbook and an OER web-book in terms…

There is a growing concern that AI is likely to replace the work done face to face in the classroom by teachers. The concerns also extend to the students use of AI to complete assignments which could impact on their grades either positive or negative and in some cases, when a student work is detected with high AI the work could be classified as…

The current paper examined the impact of a set of individual, technological, and institutional variables on the adoption of artificial intelligence (AI) among teachers at private schools. The rationale for this study lies in its contribution to the understanding of how teacher characteristics, institutional support, and technological perceptions…

This study examined the impact of a brief immersive experience with virtual reality (VR) on pre-service teachers' self-efficacy and attitudes towards technology in education. The study found that although pre-service teachers were aware of VR and augmented reality (AR) technologies, they lacked experience using them. The intervention had a…

In fall 2023, Ithaka S+R launched a collective research project with the objective of studying generative AI's impact on teaching, learning, and research at the postsecondary level. Through a collaboration with 19 universities from across the US and Canada, the "Making AI Generative for Higher Education" project has provided an…

In an era where artificial intelligence (AI) is rapidly transforming various sectors, including education, understanding how educators perceive and integrate AI into their teaching practices is crucial. This study addresses the growing need to explore educators' perspectives on AI's impact on education, particularly its implications for effective…

This study examined how discourses surrounding Generative artificial intelligence (GenAI) tools in K-12 English language arts (ELA) classrooms construct relationships between teachers, students, and digital platforms. Drawing upon critical literacy theory and teaching as a sociocultural practice, researchers analyzed qualitative data from 10…

Intangible cultural heritage is an important part of Chinese excellent traditional culture, and college dance teaching is paid more attention by researchers of physical education and computer technology. In order to help the inheritance and development of non-legacy culture in college dance teaching, this paper analyzes the influencing factors of…