Generative artificial intelligence (GenAI) has opened new possibilities for designing learning analytics (LA) tools, gaining new insights about student learning processes and their environment, and supporting teachers in assessing and monitoring students. This systematic literature review maps the empirical research of 41 papers utilizing GenAI…

This study aims to validate the applicability of the technology acceptance model (TAM) in the context of using Chat GPT as an educational tool. TAM serves as the theoretical foundation for this research. To investigate the antecedents of technology acceptance, this study focused on three key attributes: information credibility, enjoyment, and…

The integration of artificial intelligence (AI) in educational setting is rapidly growing. The huge impact of AI in education draws attention of school stakeholders to start incorporating AI in teaching and learning. AI in school curriculum is increasingly getting significant. The study aimed to understand factors influencing the incorporation of…

Background, context, and purpose of the study: Artificial intelligence (AI) is becoming increasingly prevalent in science, technology, engineering, and mathematics (STEM) education, holding promising potential for supporting the design and implementation of quality STEM education. However, there is a lack of data-based research studying the…

There has been a growing interest in developing simulated learners to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the learner's ability to generalize skills across tasks. In…

This study investigates the effectiveness of a Retrieval-Augmented Generation (RAG) chatbot to enhance learning and engagement in a self-paced, asynchronous online R programming course. To contextualize the development and potential of RAG chatbots, we conducted a literature review on existing approaches and their use in educational settings.…

Anonymous assessment, introduced to higher education over the last twenty-five years to reduce attainment gaps, is a now common place. This paper suggests some ways in which anonymous assessment could be reconceptualised. We argue that there is scant empirical evidence of anonymity having worked in reducing attainment gaps in higher education. It…

The integration of artificial intelligence (AI) into engineering education is essential for fostering innovation, strategic thinking and interdisciplinary skills in the intelligent era. On this basis, this study aims to track and visually represent the research outputs associated with AI applications in engineering education, providing insights…

As artificial intelligence (AI) continues to be widely integrated into global economic, social, and environmental governance, its role in promoting sustainable entrepreneurship has garnered increasing scholarly attention. This research aims to uncover the predictors affecting students' pro-environmental personal norms (EPNs) and subjective norms…

In contemporary societies, the processes of transindividuation by which knowledges are transformed into cycles and rhythms of metastability have been dramatically short-circuited. In turn, this has provoked the spiritual misery and pseudo-fabulations so prevalent all around us, including our educational contexts. For Stiegler, this is nothing…

Ecological momentary assessment has been increasingly used in autism studies over the last decade to capture and understand autistic people's behaviours, thoughts, feelings and daily experiences. This systematic review synthesised previous autism ecological momentary assessment studies to learn about the feasibility of ecological momentary…

In the twenty-first century, it has become increasingly important for educators to familiarise themselves with "Artificial Intelligence (AI)", given its growing influence in various fields, including education. This study examines AI literacy among Ghanaian basic school teachers and investigates gender differences in AI literacy. This…

This study focused on the investigation of the spiritual intelligence of prospective teachers with respect to their gender, locality, and stream. A descriptive survey method was used along with the sample of 105 prospective teachers through multistage sampling techniques. A standardized Sixfold Spiritual Intelligence Scale was used for data…

Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…

Supervisor, co-worker, and customer-initiated incivility in the services industry dominate the literature. Incivility studies in academic institutions are beginning to emerge and students' initiated incivility has taken the center stage, whereas studies on lecturer-initiated incivility are lacking. This study, therefore, seeks to find out the…