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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 …
[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 …
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 …
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 …
How beginning programmers and code llms (mis) read each other
Generative AI models, specifically large language models (LLMs), have made strides
towards the long-standing goal of text-to-code generation. This progress has invited …
towards the long-standing goal of text-to-code generation. This progress has invited …
[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 …
Education 5.0: requirements, enabling technologies, and future directions
We are currently in a post-pandemic era in which life has shifted to a digital world. This has
affected many aspects of life, including education and learning. Education 5.0 refers to the …
affected many aspects of life, including education and learning. Education 5.0 refers to the …
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 …