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Khalifa Sylla; Mama Amar; Samuel Ouya – International Association for Development of the Information Society, 2024
The use of artificial intelligence (AI) has revolutionized the organization and management of data in particular educational content on digital university platforms. The combination of AI and metadata can facilitate the management and access to educational resources and allow personalized learning experiences tailored to learners' needs. Based on…
Descriptors: Artificial Intelligence, Metadata, Educational Resources, Educational Media
Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
A Review on Enhancing Education with AI: Exploring the Potential of ChatGPT, Bard, and Generative AI
Anduamlak Abebe Fenta – Discover Education, 2025
Generative AI systems, such as ChatGPT and Bard, can significantly enhance education by providing personalized learning experiences. They can tailor content, quizzes, and explanations to individual students; act as virtual tutors, and offer instant feedback. However, privacy concerns have arisen because of the need for personal data. Ensuring…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Synchronous Communication
Zhou, Todd; Jiao, Hong – Educational and Psychological Measurement, 2023
Cheating detection in large-scale assessment received considerable attention in the extant literature. However, none of the previous studies in this line of research investigated the stacking ensemble machine learning algorithm for cheating detection. Furthermore, no study addressed the issue of class imbalance using resampling. This study…
Descriptors: Cheating, Measurement, Artificial Intelligence, Algorithms
Yi Zheng; Steven Nydick; Sijia Huang; Susu Zhang – Educational Measurement: Issues and Practice, 2024
The recent surge of machine learning (ML) has impacted many disciplines, including educational and psychological measurement (hereafter shortened as "measurement"). The measurement literature has seen rapid growth in applications of ML to solve measurement problems. However, as we emphasize in this article, it is imperative to critically…
Descriptors: Artificial Intelligence, Measurement, Measurement Equipment, Psychological Evaluation
Lisa Ruth Brunner; Wei William Tao – Journal of International Students, 2024
Artificial intelligence (AI) and automation are newly impacting the governance of international students, a temporary resident category significant for both direct economic contributions and the formation of a "pool" of potential future immigrants in many immigrant-dependent countries. This paper focuses on tensions within Canada's…
Descriptors: Artificial Intelligence, Automation, Migration, Foreign Students
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
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
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
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
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
Melissa Kay Diliberti; Heather L. Schwartz; Sy Doan; Anna Shapiro; Lydia R. Rainey; Robin J. Lake – RAND Corporation, 2024
The release of such generative artificial intelligence (AI) tools as ChatGPT in 2022 was a major advancement in the field of AI. Two burning questions for kindergarten through grade 12 (K--12) educators are to what extent new generative AI tools will change teaching and whether they will improve learning. The answers to these questions are not yet…
Descriptors: Artificial Intelligence, Instructional Materials, Elementary School Teachers, Secondary School Teachers
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
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
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