This study employs the Technology Readiness and Acceptance Model to uncover the factors influencing university students' intentions to adopt generative artificial intelligence (AI) technologies in higher education. With the rapid integration of Generative AI into academic contexts, understanding what drives students' intention to use these tools…

Open access to novel AI tools offers unprecedented opportunities for human-AI collaboration in writing instruction and assessment. While research on using generative AI tools like ChatGPT in these contexts is emerging, more is needed to understand their effectiveness as Automated Writing Evaluation (AWE) tools. This study explores the potential of…

The rapid integration of artificial intelligence (AI) into healthcare is reshaping clinical practice and redefining the competencies required of healthcare professionals. Despite growing recognition of AI literacy as an educational priority, current efforts to assess this competency remain fragmented, lacking theoretical coherence and…

This study explores the intersection of Joseph Schumpeter's Innovation Theory and the integration of Artificial Intelligence (AI) in higher education, specifically focusing on disruptive and incremental innovation, institutional transformation, and strategic policy adaptation. AI can potentially reshape pedagogical models, administrative…

We investigated the similarities and differences in understanding among UK-based university staff and students regarding AI literacy, in terms of competent and ethical use of AI tools. This study builds on existing research revealing both wide use of AI tools in higher education, but also a lack of shared understanding among stakeholder groups on…

In measurement and evaluation processes, natural language responses are often avoided due to time, workload, and reliability concerns. However, the increasing popularity of automatic short-answer grading studies for natural language responses means such answers can now be measured more quickly and reliably. This study aims to build models for…

This research aimed to 1) examine the needs for developing digital content on the metaverse 2) develop and evaluate the quality of digital content on the metaverse combined with interactive communication activities 3) compare the perception of the sample group before and after viewing the digital content, and 4) assess the satisfaction of the…

Generative artificial intelligence (GenAI) has evolved rapidly, and many K-12 mathematics classroom teachers experience tensions about how to utilize it within their practice. The tensions become evident relative to teachers' readiness and willingness to use GenAI based on their: (1) personal depth of knowledge; (2) ethical concerns; and (3) lack…

This reflective inquiry reports on the experiences of a working group at Arizona State University (ASU) that, over the course of four months, built, integrated, and iterated artificial intelligence (AI) solutions into their daily work as research administrators. During this process, the group focused on creating AI solutions for the complex,…

As artificial intelligence becomes more widespread, tools such as GPT-3.5, GPT-4, and Google Gemini are also increasingly used as additional resources to help parents understand dyslexia. However, the validity and precision of these instruments have not been studied well. This cross-sectional study assessed ChatGPT-3.5, ChatGPT-4, and Gemini on…

Educational technology, or ed-tech, including artificial intelligence (AI), continues to become more integrated into teaching and research in higher education, with minimal oversight. The AAUP's ad hoc Committee on Artificial Intelligence and Academic Professions--composed of higher education faculty members, staff, and scholars interested in…

This study explores the concept of AI guilt, a psychological phenomenon where individuals feel guilt or moral discomfort when using generative AI tools, fearing negative perceptions from others or feeling disingenuous (Chan, 2024). The phenomenon has become increasingly relevant as AI tools gain prominence in educational contexts. This paper…

Purpose: This study investigates how generative AI models (ChatGPT, Claude and Gemini) can be systematically integrated into curriculum design using Hilda Taba's inductive model. Addressing Sustainable Development Goal 4 (SDG 4), it introduces the EduCompass framework to enhance inclusivity and instructional quality. Design/methodology/approach: A…

The study aimed to develop a measure that enables gifted children to be picked out in early childhood through the nomination of teachers. In order to collect the data, a conceptual framework based on Gardner's theory of multiple intelligences was set to identify gifted children. Once the conceptual framework was created, a 64-item framework…

The concept of "phronesis" enters educational discourse at various levels of engagement, and it continues to fascinate and frustrate educational theorists in equal measure. This article begins by charting the vagaries of three educational discourses on phronesis, and by eliciting insights from the recently burgeoning wisdom research…