This qualitative study explores the levels of technology acceptance of students and teachers in higher education regarding the use of artificial intelligence (AI) in summative assessment. Twelve students and eight teachers of a university expressed their views on a series of hypothetical scenarios. Stimulated recall interviews, using hypothetical…

Background/purpose: The study investigates whether the AI-assisted learning leads to a significant difference in student scores across the measured writing skills, and it also provides valuable insights for teachers and students on utilizing ChatGPT effectively. Specifically, the study applies a quasi-experimental design to assess five core…

This study explores the use of large language models (LLMs) to generate feedback on essay-type assignments in Higher Education. Drawing on a seminal feedback framework, it examines the pedagogical and psychological effectiveness of LLM-generated feedback across three cohorts of MBA, MSc, and undergraduate students. Methods included linguistic…

For this study, 350 university students in Germany were surveyed to understand how they perceive ChatGPT's educational advantages and challenges. Using a combination of quantitative and qualitative methods, it found out that students tend to see ChatGPT as helpful for academic performance (53.14%), writing (47.14%), and exam preparation (50.00%).…

The study examined the association of big five personality traits (i.e., conscientiousness, openness to experience, and neuroticism) with use of Generative Artificial Intelligence (GenAI) among university students. It also examined the moderating role of perceived fairness in grading on the relationships of personality traits with GenAI usage.…

This article explores the ways in which teacher educators can strengthen the developing teacher assessment identity of preservice teachers who are at the precipice of Industry 4.0, where work with Artificial Intelligence (AI) and assessment will require flexible thinking. This reflective case study narrative outlines a teacher educator's…

This paper presents a scoping review of the literature on educational neurotechnology, examining its types, methods, applications, opportunities and challenges. A total of 4236 articles were identified from PubMed, ScienceDirect, Scopus, Web of Science and ERIC, with 471 peer-reviewed studies selected and analysed following PRISMA guidelines and…

Qualitative studies that examine the impact of generative AI technologies on higher education remain scant. Whether it is the ethical dimensions of modeling human emotions within these technologies or the authentic emotional reactions to these technologies and their outputs--emotionality is at the centre of generative AI discourse. This paper…

In this descriptive study I wanted to see how including an assignment which required students to use generative artificial intelligence (AI) would affect students' perceptions of generative AI, including their own assessment and grading of generative AI-created content. I theorized that more than half the students would assess the generative AI's…

Purpose: The study explores the acceptance of AI-driven virtual teaching assistants (VTAs) in Vietnam's online learning. It aims to identify factors influencing students' intention and actual use of these emerging technologies. Design/methodology/approach: Using an extended Unified Theory of Acceptance and Use of Technology (UTAUT2), the research…

Generative artificial intelligence (AI) has the potential to be transformative or to amplify misrepresentations and biases. Generative AI text-to-image production using DALL-E 3 was evaluated for gender and ethnicity biases among Australian academics. DALL-E 3 produced multiple iterations of images using a variety of prompts. Collectively, 81…

This study explores secondary school teachers' perspectives on artificial intelligence (AI)- supported tools through qualitative in-depth interviews with 16 teachers of English as a foreign language in Kazakhstan. The research aimed to understand teachers' views on pedagogy, their knowledge of AI, and their perceptions of its opportunities and…

The widespread adoption of generative AI is transforming academic writing in higher education, rendering traditional, product-focused assessment models obsolete. These methods fail to capture the iterative and tool-mediated nature of modern writing processes, creating an urgent need for new evaluation approaches. This paper addresses this gap by…

In recent years, the rapid technological development and widespread adoption of chatbots equipped with generative artificial intelligence (GenAI) based on Large Language Models (LLMs) have brought dramatic changes in the field of education. In e-learning, flexible progression and real-time feedback enabled by human-like interaction with artificial…

Advances in machine learning (ML) offer new possibilities for science education research. We report on early progress in the design of an ML-based tool to analyze students' mechanistic sensemaking, working from a coding scheme that is aligned with previous work in physics education research (PER) and that is amenable to recently developed ML…