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Nicholas Smith; Darby Vickers – Theory and Research in Education, 2024
Artificial intelligence technologies have become a ubiquitous part of human life. This prompts us to ask, "how should we live well with artificial intelligence?" Currently, the most prominent candidate answers to this question are principlist. According to these approaches, if you teach people some finite set of principles or convince…
Descriptors: Artificial Intelligence, Moral Values, Ethics, Philosophy
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Erhan Elmaoglu; Adnan Batuhan Coskun; Selda Yüzer Alsaç – American Journal of Health Education, 2024
Recent years have seen growing interest in the potential contributions of Artificial Intelligence (AI)-based technologies to children's health education. Specifically, ChatGPT, a language processing model developed by OpenAI, represents a significant advancement in this field. By presenting child health-related information in an understandable and…
Descriptors: Artificial Intelligence, Health Education, Educational Technology, Barriers
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Zhenchang Xia; Nan Dong; Jia Wu; Chuanguo Ma – IEEE Transactions on Learning Technologies, 2024
As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…
Descriptors: Graphs, Artificial Intelligence, Multivariate Analysis, Prediction
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Sohum M. Bhatt; Wim Van Den Noortgate; Katrien Verbert – IEEE Transactions on Learning Technologies, 2024
Recommender systems are increasingly being used in university or online education. However, recommender systems still have not found major usage in K12 education. This may be because of the unique challenges that recommender systems face when used by a young and diverse population. However, recommender systems for K12 education could provide many…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Educational Technology, Learning
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Kashif Ahmad; Waleed Iqbal; Ammar El-Hassan; Junaid Qadir; Driss Benhaddou; Moussa Ayyash; Ala Al-Fuqaha – IEEE Transactions on Learning Technologies, 2024
As education constitutes an essential development standard for individuals and societies, researchers have been exploring the use of artificial intelligence (AI) in this domain and have embedded the technology within it through a myriad of applications. In order to provide a detailed overview of the efforts, this article pays particular attention…
Descriptors: Artificial Intelligence, Education, Technology, Learning Experience
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Rui Yao; Meilin Tian; Chi-Un Lei; Dickson K. W. Chiu – Education and Information Technologies, 2024
Sustainable Development Goals (SDG) 4.7 aims to ensure learners acquire the knowledge and skills for promoting sustainable development by 2030. Yet, Open Educational Resources (OERs) that connect the public with SDGs are currently limitedly assigned and insufficient to promote SDG and sustainability education to support the achievement of SDG 4.7…
Descriptors: Sustainable Development, Open Educational Resources, Sustainability, Classification
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Jonathon Love; Quentin F. Gronau; Gemma Palmer; Ami Eidels; Scott D. Brown – Cognitive Research: Principles and Implications, 2024
With the growing role of artificial intelligence (AI) in our lives, attention is increasingly turning to the way that humans and AI work together. A key aspect of human-AI collaboration is how people integrate judgements or recommendations from machine agents, when they differ from their own judgements. We investigated trust in human-machine…
Descriptors: Artificial Intelligence, Man Machine Systems, Trust (Psychology), Decision Making
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Lütfiye Coskun – Education and Information Technologies, 2024
This paper presents a unique advanced statistical approach based on Artificial Intelligence (AI) to examine factors affective on phonological awareness and print awareness of preschool children. Artificial Neural Network (ANN) models were created and correlations between the independent and dependent (outcome) variables were analyzed. The ANN…
Descriptors: Artificial Intelligence, Preschool Children, Emergent Literacy, Phonological Awareness
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Linden Wang – Education and Information Technologies, 2024
We studied the capability of automated machine translation in the online video education space by automatically translating Khan Academy videos with state-of-the-art translation models and applying text-to-speech synthesis and audio/video synchronization to build engaging videos in target languages. We also analyzed and established two reliable…
Descriptors: Artificial Intelligence, Translation, Natural Language Processing, Educational Technology
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Hasnan Baber; Kiran Nair; Ruchi Gupta; Kuldeep Gurjar – Information and Learning Sciences, 2024
This paper aims to present a systematic literature review and bibliometric analysis of research papers published on chat generative pre-trained transformer (ChatGPT), an OpenAI-developed large-scale generative language model. The study's objective is to provide a comprehensive assessment of the present status of research on ChatGPT and identify…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Bibliometrics
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Alexander Skulmowski – Educational Psychology Review, 2024
Generative AIs have been embraced by learners wishing to offload (parts of) complex tasks. However, recent research suggests that AI users are at risk of failing to correctly monitor the extent of their own contribution when being assisted by an AI. This difficulty in keeping track of the division of labor has been shown to result in placebo and…
Descriptors: Artificial Intelligence, Cognitive Processes, Difficulty Level, Epistemology
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Abdessamad Chanaa; Nour-eddine El Faddouli – Smart Learning Environments, 2024
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…
Descriptors: Artificial Intelligence, Prerequisites, Metadata, Electronic Learning
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Anabela Brandão; Luís Pedro; Nelson Zagalo – Digital Education Review, 2024
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…
Descriptors: Artificial Intelligence, Literature Reviews, Faculty Development, Digital Literacy
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Mohammad Hosseini; David B. Resnik – Research Ethics, 2025
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…
Descriptors: Artificial Intelligence, Plagiarism, Writing for Publication, Periodicals
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Bahar Radmehr; Tanja Kaser; Adish Singla – Journal of Educational Data Mining, 2025
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…
Descriptors: Generalization, Reinforcement, Computer Simulation, Artificial Intelligence
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