The recommendation is an active area of scientific research; it is also a challenging and fundamental problem in online education. However, classical recommender systems usually suffer from item cold-start issues. Besides, unlike other fields like e-commerce or entertainment, e-learning recommendations must ensure that learners have the adequate…

This dissertation used synthetic datasets, semi-synthetic datasets, and a real-world dataset from an educational intervention to compare the performance of 15 machine learning and multiple imputation methods to estimate the individual treatment effect (ITE). In addition, it examined the performance of five evaluation metrics that can be used to…

Artificial Intelligence (AI) has been part of every citizen's life for several years. Still, the emergence of generative AI (GenAI), accessible to all, has raised discussions about the ethical issues they raise, particularly in education. GenAI tools generate content according to user requests, but are students using these tools ethically and…

Artificial intelligence (AI) has transformed the education landscape, but are teacher preparation programs keeping pace? In this report, the Center on Reinventing Public Education (CRPE) reached out to over 500 U.S. education school leaders to understand how they currently integrate AI into their teacher training programs, how their faculty and…

This dissertation aimed to explore the use of machine learning (ML) models in in-patient clinical settings. A literature review was conducted to identify existing guidelines and frameworks for such models, and an in-depth study was conducted on ML-based models to understand their behavior and implications on patient outcomes. A conceptual…

Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and…

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…

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…

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…

The review research is prepared to make the higher education institutions aware of the benefits and risks, the implementation strategy required, and a detailed roadmap needed, and to finally conclude the report with some recommendations. A systematic review and outcomes provide unique findings with an up-to-date information of artificial…