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David Joyner, Editor; Benjamin Paaßen, Editor; Carrie Demmans Epp, Editor – International Educational Data Mining Society, 2024
The Georgia Institute of Technology is proud to host the seventeenth International Conference on Educational Data Mining (EDM) in Atlanta, Georgia, July 14-July 17, 2024. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New tools, new prospects, new risks--educational data…
Descriptors: Data Analysis, Pattern Recognition, Technology Uses in Education, Artificial Intelligence
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Fernando Martinez; Gary M. Weiss; Miguel Palma; Haoran Xue; Alexander Borelli; Yijun Zhao – International Educational Data Mining Society, 2024
Large Language Models (LLMs) have prompted widespread application across diverse domains. In some applications, human-like quality in output is essential for optimal user experience and credibility. This is particularly evident in applications such as Chatbots. Conversely, concerns arise regarding LLM use in contexts where human authenticity is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Natural Language Processing
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Owen Henkel; Zach Levoninan; Millie-Ellen Postle; Chenglu Li – International Educational Data Mining Society, 2024
For middle-school math students, interactive question-answering (QA) with tutors is an effective way to learn. The flexibility and emergent capabilities of generative large language models (LLMs) has led to a surge of interest in automating portions of the tutoring process--including interactive QA to support conceptual discussion of mathematical…
Descriptors: Middle School Mathematics, Questioning Techniques, Algebra, Geometry
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Xianghan O’Dea, Editor; Davy Tsz Kit Ng, Editor – Emerald Publishing Limited, 2024
The rapid adoption of Artificial Intelligence in various industries and the emergence of Generative Artificial Intelligence (GenAI) in recent years have prompted highlighted interest in training and supporting university students to develop industry-oriented AI literacy competencies. "Effective Practices in AI Literacy Education" serves…
Descriptors: Higher Education, Artificial Intelligence, Technology Uses in Education, Literacy Education
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Chenguang Pan; Zhou Zhang – International Educational Data Mining Society, 2024
There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…
Descriptors: High School Students, Dropouts, Dropout Characteristics, Artificial Intelligence
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Oqab Jabali; Abedalkarim Ayyoub – Education and Information Technologies, 2024
The integration of artificial intelligence (AI) into parenting practices has gained significant attention, but there is limited understanding of how demographic factors influence the engagement and perceptions of AI-assisted parenting. This study aims to address this gap by examining the demographic profile of individuals engaging in AI-assisted…
Descriptors: Foreign Countries, Parenting Styles, Child Rearing, Parent Materials
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Canivez, Gary L.; McGill, Ryan J.; Dombrowski, Stefan C. – Journal of Psychoeducational Assessment, 2020
The present study examined the factor structure of the Differential Ability Scales--Second Edition (DAS-II) core subtests from the standardization sample via confirmatory factor analysis (CFA) using methods (bifactor modeling and variance partitioning) and procedures (robust model estimation due to nonnormal subtest score distributions)…
Descriptors: Factor Structure, Intelligence Tests, Factor Analysis, Age Groups
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Farmer, Ryan L.; Kim, Samuel Y. – Psychology in the Schools, 2020
Many prominent intelligence tests (e.g., Wechsler Intelligence Scale for Children, Fifth Edition [WISC-V] and Reynolds Intellectual Abilities Scale, Second Edition [RIAS-2]) offer methods for computing subtest- and composite-level difference scores. This study uses data provided in the technical manual of the WISC-V and RIAS-2 to calculate…
Descriptors: Children, Intelligence Tests, Scores, Test Reliability
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Jonathan W. Camp; Heather Johnson – Communication Teacher, 2025
This paper introduces generative AI for the graphic design of student presentation aids in a university public-speaking classroom. Students learn to use generative AI as an efficient enhancement to the creative process while preserving the integrity of the content. Students' slide presentations show improvement resulting from the activity, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Public Speaking, Computer Software
Anne Trumbore – Princeton University Press, 2025
From AI tutors who ensure individualized instruction but cannot do math to free online courses from elite universities that were supposed to democratize higher education, claims that technological innovations will transform education often fall short. Yet, as Anne Trumbore shows in "The Teacher in the Machine," the promises of today's…
Descriptors: Educational Technology, Technology Uses in Education, Educational History, Artificial Intelligence
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Liz A. Awang; Farrah D. Yusop; Mahmoud Danaee – International Electronic Journal of Mathematics Education, 2025
Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that…
Descriptors: Artificial Intelligence, Mathematics Education, Educational Technology, Technology Uses in Education
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Linna Geng; Mingxue Ma; Robert Osei-Kyei; Xiaohua Jin; Surendra Shrestha – Higher Education, Skills and Work-based Learning, 2025
Purpose: The construction industry, characterised by its dynamic nature, demands graduates equipped with diverse skills beyond academic proficiency. Recognizing the significance of employability skills, this study aims to provide a comprehensive overview of the employability skills to meet the evolving demands of the construction industry.…
Descriptors: Employment Qualifications, Job Skills, Construction Industry, Soft Skills
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Taekwon Son – Education and Information Technologies, 2025
Responsive teaching is an effective teaching approach in which teachers engage and respond to students' mathematical ideas to support their mathematics learning. In this study, the relationship between preservice teachers' (PSTs) noticing expertise and their teaching moves was investigated in a simulated AI chatbot environment. The AI chatbot…
Descriptors: Preservice Teachers, Teaching Methods, Technology Uses in Education, Artificial Intelligence
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Hayriye Nevin Genc; Nuriye Kocak – Journal of Education in Science, Environment and Health, 2025
While the use of artificial intelligence in education is a prominent area of research, it has also become a collaborative application for educational institutions. These institutions are working to develop AI-based systems to enhance existing educational frameworks. Accordingly, this study conducts a bibliometric analysis of research on artificial…
Descriptors: Bibliometrics, Health Education, Artificial Intelligence, Research Reports
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Bogáta Kardos – Policy Futures in Education, 2025
Generative AI is expansively used to create pornographic material. These images and practices are becoming a part of the sexual culture and have an influential impact on gender inequality. Many of the images are generated without the knowledge of the women in the material, and a considerable amount of them are child sexual abuse materials. GenAI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pornography, Discourse Analysis
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