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Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali; Logan De Ley; Kyle Weldon; April Murphy; Steve Ritter – Grantee Submission, 2023
Large Language Models have recently achieved high performance on many writing tasks. In a recent study, math word problems in Carnegie Learning's MATHia adaptive learning software were rewritten by human authors to improve their clarity and specificity. The randomized experiment found that emerging readers who received the rewritten word problems…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Artificial Intelligence, Intelligent Tutoring Systems
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Alanah Grant St. James; Luke Hand; Thomas Mills; Liwen Song; Annabel S. J. Brunt; Patrick E. Bergstrom Mann; Andrew F. Worrall; Malcolm I. Stewart; Claire Vallance – Journal of Chemical Education, 2023
Applications of machine learning in chemistry are many and varied, from prediction of structure-property relationships, to modeling of potential energy surfaces for large scale atomistic simulations. We describe a generalized approach for the application of machine learning to the classification of spectra which can be used as the basis for a wide…
Descriptors: Artificial Intelligence, Chemistry, Science Instruction, Classification
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Olderbak, Sally; Bader, Christina; Hauser, Nicole; Kleitman, Sabina – Journal of Intelligence, 2021
When meeting someone at zero acquaintance, we make assumptions about each other that encompass emotional states, personality traits, and even cognitive abilities. Evidence suggests individuals can accurately detect psychopathic personality traits in strangers based on short video clips or photographs of faces. We present an in-depth examination of…
Descriptors: Psychopathology, Personality Traits, Video Technology, Identification
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Fiona Gogescu – British Journal of Sociology of Education, 2025
This paper explores the way in which elite students from Germany and Romania understand the role of talent, effort, and structural factors in shaping educational success and failure. The image of a successful student aligns with the requirements of the selection processes, with Romanian students emphasising effort, and German students projecting…
Descriptors: Foreign Countries, Intelligence, Ability, Social Systems
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Eryn Shelly Travis – Communication Teacher, 2025
Students explored using generative AI to create relational messages as well as audience reactions to both human-created and AI-created notes of encouragement. The activity helped students understand the practical, relational, and ethical implications of incorporating AI into communication tasks. By the end of the activity, students could discern…
Descriptors: Audience Response, Artificial Intelligence, Letters (Correspondence), Mass Media
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Zhi Li; Wenxiang Zhang – Education and Information Technologies, 2025
In the swiftly changing realm of education, technology serves as a key instrument in transforming the methods of teaching, learning experiences, and educational outcomes. Legal and governance issues, integral to maintaining order and justice in societies, are equally pertinent in the realm of education. The digital age introduces concerns like…
Descriptors: Educational Technology, Technology Uses in Education, Technological Advancement, Legal Responsibility
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Charles Aaron B. Dungo; Zak Laurence E. Beltran; Bryan C. Declaro; Jan Jacek C. Dela-Cruz; Rosan U. Viray – Journal of Education in Science, Environment and Health, 2025
In recent years, the number of studies on artificial intelligence or AI has increased tremendously, and their place in daily life is beginning to be felt more and more each day. Current rise of generative AI tools has brought forth dangers regarding its potential misuse, leading to impacts on the environment. College students were surveyed using…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Knowledge Level
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Lianghai Chu – Education and Information Technologies, 2025
The rapid advancement of artificial intelligence (AI) technology has enabled the creation of digital human instructors with human-like visual and verbal characteristics. This study investigates the impact of human likeness on learner satisfaction within e-learning environments, drawing on the "Uncanny Valley" theory and the Experience…
Descriptors: Student Satisfaction, Computer Assisted Instruction, Electronic Learning, Artificial Intelligence
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Nisar Ahmed Dahri; Noraffandy Yahaya; Waleed Mugahed Al-Rahmi – Education and Information Technologies, 2025
Enhancing student academic success and career readiness is important in the rapidly evolving educational field. This study investigates the influence of ChatGPT, an AI tool, on these outcomes using the Stimulus-Organism-Response (SOR) theory and constructs from the Technology Acceptance Model (TAM). The aim is to explore how ChatGPT impacts…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Career Readiness
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Yong Zhao – ECNU Review of Education, 2025
Purpose: The purpose is to stimulate imagination of artificial intelligence (AI) and education beyond current schooling. Design/Approach/Methods: The approach this article took is a broad review of literature on learning, teaching, schooling, and technological development and evidence-based reasoning about the possible future of education in the…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Problem Based Learning
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Iratxe Suberviola Ovejas – International Journal of Emotional Education, 2025
This study examines the emotional competencies amongst 1,345 university students from three universities in northern Spain, focusing on emotional attention, clarity, and regulation by gender, academic discipline, and educational stage. Using the Trait Meta-Mood Scale (TMMS-24) as a measurement tool, statistical analyses, including normality tests,…
Descriptors: Foreign Countries, Emotional Intelligence, Graduate Students, Undergraduate Students
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André Markus; Maximilian Baumann; Jan Pfister; Andreas Hotho; Astrid Carolus; Carolin Wienrich – Discover Education, 2025
Intelligent Voice Assistants (IVAs) have become integral to many users' daily lives, using advanced algorithms to automate various tasks. Nevertheless, many users do not understand the underlying algorithms and how they work, posing potential risks to the competent and self-determined use of IVAs. This work develops three online training modules…
Descriptors: Algorithms, Digital Literacy, Training, Artificial Intelligence
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Mayowa Oyedoyin; Ismaila Temitayo Sanusi; Musa Adekunle Ayanwale – Computer Science Education, 2025
Background and Context: Recognizing that digital technologies can enable economic transformation in Africa, computing education has been considered a subject relevant for all within the compulsory level of education. The implementation of the subject in many schools is, however, characterized by a myriad of challenges, including pedagogical…
Descriptors: Elementary School Students, Student Attitudes, Internet, Coding
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Jyun-Chen Chen; Chia-Yu Liu – Journal of Computer Assisted Learning, 2025
Background: Based on the embodied cognition perspective, interdisciplinary hands-on learning combines several disciplines, such as science, technology, engineering and mathematics (STEM), to improve students' capacity to solve real-world problems. Despite the popularity of interdisciplinary hands-on learning, particularly the six-phase 6E model,…
Descriptors: Interdisciplinary Approach, Experiential Learning, STEM Education, Problem Solving
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Christopher Hill; Jace Hargis – New Directions for Teaching and Learning, 2025
This article explores the intersection between academic integrity and generative AI (GenAI). It presents a tested framework for a versatile 3-h module applicable to various disciplines. Since ChatGPT's emergence, GenAI's impact on academic integrity has raised concerns, challenged established norms, and blurred lines of authorship. Engaging…
Descriptors: Ethics, Integrity, Artificial Intelligence, Computer Software
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