State of the art and practice in AI in education
Abstract Recent developments in Artificial Intelligence (AI) have generated great
expectations for the future impact of AI in education and learning (AIED). Often these …
expectations for the future impact of AI in education and learning (AIED). Often these …
Artificial intelligence in education: Addressing ethical challenges in K-12 settings
Artificial intelligence (AI) is a field of study that combines the applications of machine
learning, algorithm productions, and natural language processing. Applications of AI …
learning, algorithm productions, and natural language processing. Applications of AI …
It's just not that simple: an empirical study of the accuracy-explainability trade-off in machine learning for public policy
To achieve high accuracy in machine learning (ML) systems, practitioners often use complex
“black-box” models that are not easily understood by humans. The opacity of such models …
“black-box” models that are not easily understood by humans. The opacity of such models …
Algorithmic fairness in education
Data-driven predictive models are increasingly used in education to support students,
instructors, and administrators, which has raised concerns about the fairness of their …
instructors, and administrators, which has raised concerns about the fairness of their …
[HTML][HTML] University teachers' perceptions of responsibility and artificial intelligence in higher education-An experimental philosophical study
This study investigates university teachers' relationships with emerging technologies by
focusing on the uptake of artificial intelligence in higher education practices. We utilise an …
focusing on the uptake of artificial intelligence in higher education practices. We utilise an …
Reimagining the machine learning life cycle to improve educational outcomes of students
Machine learning (ML) techniques are increasingly prevalent in education, from their use in
predicting student dropout to assisting in university admissions and facilitating the rise of …
predicting student dropout to assisting in university admissions and facilitating the rise of …
[HTML][HTML] Assessing student errors in experimentation using artificial intelligence and large language models: A comparative study with human raters
Identifying logical errors in complex, incomplete or even contradictory and overall
heterogeneous data like students' experimentation protocols is challenging. Recognizing …
heterogeneous data like students' experimentation protocols is challenging. Recognizing …
Generative ai for customizable learning experiences
The introduction of accessible generative artificial intelligence opens promising
opportunities for the implementation of personalized learning methods in any educational …
opportunities for the implementation of personalized learning methods in any educational …
The performance of OpenAI ChatGPT-4 and Google Gemini in virology multiple-choice questions: a comparative analysis of English and Arabic responses
M Sallam, K Al-Mahzoum, RA Almutawaa… - BMC Research …, 2024 - Springer
Objective The integration of artificial intelligence (AI) in healthcare education is inevitable.
Understanding the proficiency of generative AI in different languages to answer complex …
Understanding the proficiency of generative AI in different languages to answer complex …
AI in education: A review of personalized learning and educational technology
The integration of Artificial Intelligence (AI) in education has ushered in a transformative era,
redefining traditional teaching and learning methods. This review explores the multifaceted …
redefining traditional teaching and learning methods. This review explores the multifaceted …