This chapter introduces the AI & Data Acumen Learning Outcomes Framework, a comprehensive tool designed to guide the integration of AI literacy across higher education. Developed through a collaborative process, the framework defines key AI and data-related competencies across four proficiency levels and seven knowledge dimensions. It provides…

Artificial intelligence (AI) presents significant opportunities and challenges within the construction industry. Higher education will have a vital role in preparing future professionals to leverage AI tools, and in the effective incorporation of AI into construction curriculums is a topic of debate. As educators, construction faculty can offer…

Generative Artificial Intelligence tools have the potential to impact students learning significantly and positively in several ways. However, the factors responsible for student's behavioural intentions to use these tools are still not fully understood, especially in the context of Nigerian higher education institutions (HEIs). To support…

This comparative study explores the determinants affecting universities students' inclinations to adopt ChatGPT across India and Poland via the unified theory of acceptance and use of technology (UTAUT) model. The research employs a quantitative methodology by collecting data from 1074 students (528 from Poland and 546 from India) through a…

The paper presents findings from an empirical research study of facts, opinions, and attitudes toward AI tools in Croatian higher education (HE) libraries, key stakeholders in Croatian HE. The findings indicate that AI has made moderate inroads into these libraries, but there's potential for more extensive use in tasks and specific library…

The increasing integration of Artificial Intelligence (AI) in educational settings is transforming the role of school leaders, reshaping how decisions are made, and introducing both opportunities and challenges. This paper presents the findings of a scoping review that synthesises the current literature on AI's impact on educational leadership.…

Background: Artificial intelligence (AI) is rapidly transforming various aspects of society, raising both opportunities and challenges. As its presence expands, understanding its implications and effective use becomes increasingly important. Objective: This article aims to examine the current applications, potential, and implications of AI, with a…

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…