The results show the significant potential of AI in personalizing learning, automating routine tasks, and providing access to knowledge, but also reveal serious risks of exacerbating social inequality and ethical dilemmas.
GPT-4 significantly outperforms both human test-takers and prior models, demonstrating a 26% increase over ChatGPT and beating humans in five of seven subject areas, document not just the rapid and remarkable advance of large language model performance generally, but also the potential for such models to support the delivery of legal services in society.
This work presents SuperGPQA, a comprehensive benchmark that evaluates graduate-level knowledge and reasoning capabilities across 285 disciplines and management of a large-scale annotation process, involving over 80 expert annotators and an interactive Human-LLM collaborative system, offering valuable methodological guidance for future research initiatives of comparable scope.
While ChatGPT was perceived as effective in potentially improving AI literacy, digital communication, and content creation skills, it was less useful for interpersonal communication, decision-making, numeracy, native language proficiency, and the development of critical thinking skills.
Findings demonstrate that more adaptive learning technologies, which have organized feedback, and interactive AI tools help improve student engagement, and students with higher levels of digital literacy are more involved with digital tools.
The ongoing DT within HEIs reveals a complex landscape marked by various intertwined barriers that necessitate a strategic reevaluation and a commitment to fostering an inclusive, responsive educational environment.
Teaching at Its Best is aimed directly at faculty to use for themselves, rather than for faculty developers or administrators, to improve general teaching effectiveness.
The findings indicate that educational chatbots are suitable for integration into courses to improve personalized learning and reduce teacher administrative burden, although improvements in automated fact-checking are needed.
A framework to evaluate sycophantic behavior in ChatGPT-4o, Claude-Sonnet, and Gemini-1.5-Pro across AMPS (mathematics) and MedQuad (medical advice) datasets is introduced.
This study investigates the impact of ChatGPT, an AI-driven language that offers instant feedback, personalized learning experiences, and support for various academic tasks.
A review of the literature regarding AI applications in medical education highlighted AI's varied roles, from augmenting traditional educational methods to introducing innovative practices, and underscores the urgent need for ethical guidelines in AI's application in medical education.
The necessity for longitudinal studies to explore the long-term effects of AI on educational outcomes and mental health is suggested and the importance of incorporating student perspectives for a thorough understanding of AI’s role in education is underscored.
This evidence-informed and consensus-guided framework will play an important role in enabling medical institutions to better prepare future physicians for the ongoing digital transformation in health care.
The study shows that the efficient application of AI-enabled PL requires a comprehensive strategy addressing technological, pedagogical, and ethical issues all at once, and underline the need for thorough professional development activities for teachers and AI tools for especially targeted instruction.
How AI tools have augmented teaching and learning in CS50, specifically in explaining code snippets, improving code style, and accurately responding to curricular and administrative queries on the course's discussion forum is detailed.
This study validated “TAME-ChatGPT” as a useful tool for assessing ChatGPT adoption among university students and indicated the adequacy of the “TAME-ChatGPT” constructs.
AI offers promising advancements in nursing informatics, leading to more efficient patient care and improved decision‐making, Nonetheless, overcoming ethical challenges and ensuring AI literacy among nurses are critical steps for successful implementation.
ChatGPT's potential to enhance MSRL is highlighted and holds implications for teacher education and AI integration in educational settings and ChatGPT's acceptance among academics is explored.
This work proposes a design space as a structured way to examine and explore the multidimensional space of intelligent and interactive writing assistants, and explores five aspects of writing assistants: task, user, technology, interaction, and ecosystem.
A systematic literature review unveiled a diverse array of methods and technologies employed in learning communities to facilitate effective knowledge sharing, underscoring the significance of methods and technologies in supporting knowledge sharing within learning communities.
A refined convolutional neural network model designed to detect students’ emotions with high accuracy, using the FER2013 facial expression recognition dataset, is developed and demonstrated that the model is effective at recognizing subtle differences in facial expressions, making it suitable for real-time application in educational settings.
Focusing on AI and sustainability creates the framework for a future where technology and environmental stewardship are intimately connected, ensuring that higher education institutions can prosper in a fast-changing world.
While ChatGPT demonstrates significant potential in healthcare transformation, systematic evaluation of its implementation across different healthcare settings reveals varying levels of evidence quality–from robust randomized trials in medical education to preliminary observational studies in clinical practice.
The study investigates students’ awareness, adoption patterns, and perceptions of generative AI’s role in academic tasks, alongside the benefits they identify and the challenges they face, including ethical concerns, reliability, and accessibility.
The study concludes that while ChatGPT offers promising avenues for both drafting and assessment, and demonstrated a high level of factual accuracy, it is not a substitute for human-led academic enquiry, and students preferred writing their own essays.
This systematic literature review synthesizes recent empirical studies on the use of GAI, focusing on its impact on teaching, learning, and institutional practices, to identify potential directions for future research.
The research findings indicate that students worried more about hindering the development of their own writing skills than the risk of being caught and facing academic penalties, and students believed that ChatGPT-written works are easily detectable, and institutions should incorporate plagiarism detectors.
The results showed that SMEs agreed with LLM judges 68% of the time in the dietetics domain and 64% in mental health when evaluating overall preference, and variations in SME-LLM agreement across domain-specific aspect questions indicated variations in SME-LLM agreement across domain-specific aspect questions.
Interventions that include a focus on the TDF domains 'environmental context and resources,' 'social influences,' and 'goals,' hold particular promise for promoting active student lifestyles.
It is concluded that creativity and adaptability are key to successfully implementing gamification in the classroom.
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