This study explores Hong Kong higher education students' perceptions of E-assessment systems, focusing on factors shaping acceptance of E-examinations over traditional formats. Quantitative analysis of 107 respondents reveals significant positive correlations between diverse pre-exam guidance (e.g., tutorials) and key system features (e.g.,…

Libraries can play a role in navigating the Artificial Intelligence (AI) era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it…

This article examines the potential of Challenge-Based Learning (CBL) and Evidence-Based Software Engineering (ESBE) as a strategy for higher education, combining quality teaching with the development of professional skills. The article specifically aims to mitigate all-but-thesis syndrome in degree programmes. The methodology comprises three…

This study aimed to explore how AI-based educational platforms can support personalized mathematics learning. The three prominent AI-based educational platforms for mathematics were analyzed using a framework based on four dimensions: source, target, time, and adaptation method. Specifically, this study focused on providing illustrative examples…

The study explores the role of AI-driven chatbots in fostering collaborative learning among English as a Foreign Language (EFL) teachers. By examining the experiences of 25 pre-service EFL teachers who used a chatbot as part of their teacher training, the study investigates how the tool supports peer interactions, enhances collaborative learning,…

Educators hold diverse beliefs and attitudes about generative artificial intelligence (AI). Irrespective of their stance, many acknowledge AI's growing influence and the pressing need for greater AI literacy. In this case study, we draw on Davis's (1989) technology acceptance model (TAM) to examine how two English teachers, Fiona and Margot,…

Many interventions that "work" in small-scale trials often fail at scale, highlighting the centrality of effective scaling for realizing the promise of evidence-based policy. We study the scaling of a personalized adaptive learning (PAL) software that was highly effective in a small-scale trial. We adapt the PAL implementation for…

The rapid integration of artificial intelligence (AI) into higher education has revolutionised academic research and teaching, offered transformative opportunities while raising significant ethical challenges. This Delphi study investigates the ethical dilemmas and institutional requirements for maintaining academic integrity in AI-driven…

This study examined the impact of Augmented Reality (AR) technology on learning achievement among first-year university students in safety education contexts within a Chinese higher education setting. The research employed a one-group pretest-posttest pre-experimental design involving 30 first-year university students during the first semester of…

This article considers the rise of generative Artificial Intelligence (GenAI) in the context of secondary mathematics education, focusing on its responses to cognitively demanding tasks and the pedagogical implications of these interactions. Using tools such as ChatGPT (OpenAI) and Gemini (Google), we investigate how GenAI engages in complex…

This article reports on a novel approach to integrate artificial intelligence into a digital collaborative platform embedded with a problem-based mathematics curriculum. Using design research methodologies, we developed a new "proof-of-concept" design feature called "student proportional reasoning arrows (SPArrows)." SPArrows…

Code quality is a critical aspect of programming, as high-quality code is easier to maintain, and code maintenance constitutes the majority of software costs. Consequently, code quality should be emphasized in programming education. While previous research has identified numerous code quality defects commonly made by students, the current state…

Procedural fidelity is an important component of behavioral intervention programs. The "Train-to-Code" software was used to teach skilled observation of implementation of three types of discrete-trial programs, and improvement to procedural fidelity was assessed. Participants completed a training package that involved coding video…

Utilising a mixed-research method, this preliminary study explored the use of ChatGPT for seeking effective assignment feedback among a total of 11 adult learners in a graduate-level asynchronous online course in the Spring 2024 semester. Through analysing these learners' experiences on the activity of using ChatGPT to seek effective assignment…

Research on the use of artificial intelligence (AI) in case management activities and within the forensic vocational rehabilitation (VR) and life care planning (LCP) arena is limited. This white paper aims to illuminate the potential benefits of AI in these fields. The paper delves into the application of AI in case management and forensic VR and…