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Williamson, Ben – London Review of Education, 2020
Education data scientists, learning engineers and precision education specialists are new experts in knowledge production in educational research. By bringing together data science methodologies and advanced artificial intelligence (AI) systems with disciplinary expertise from the psychological, biological and brain sciences, they are building a…
Descriptors: Artificial Intelligence, Educational Research, Data Use, Power Structure
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Sierksma, Jellie; Shutts, Kristin – Child Development, 2020
Helping has many positive consequences for both helpers and recipients. However, in the present research, we considered a possible downside to receiving help: that it signals a deficiency. We investigated whether young children make inferences about intelligence from observing some groups of people receive help and other groups not. In a novel…
Descriptors: Childrens Attitudes, Helping Relationship, Intelligence, Young Children
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Tenemaza Kramaley, David; Wishart, Jocelyn – Gifted Education International, 2020
The expert performance theory by Ericsson et al. which maintains that deliberate practice can account for most of the variance in expertise studies is often posed as a strong scientific framework for research on giftedness. The current study explored relationships between performance, deliberate practice and mindset beliefs about intelligence and…
Descriptors: Intelligence, Games, Schemata (Cognition), Expertise
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Gardner, Howard – Journal for the Education of the Gifted, 2020
Howard Gardner's longtime interest in the range of human capacities and talents was facilitated by his leadership role in the Bernard Van Leer Foundation "Project on Human Potential" carried out at the Harvard Graduate School of Education in 1979-1985. In this reflective essay, Gardner describes his early studies of human potential and…
Descriptors: Academically Gifted, Biology, Intelligence, Brain
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Xue, Linting; Lynch, Collin F. – International Educational Data Mining Society, 2020
In order to effectively grade persuasive writing we must be able to reliably identify and extract extract argument structures. In order to do this we must classify arguments by their structural roles (e.g., major claim, claim, and premise). Current approaches to classification typically rely on statistical models with heavy feature-engineering or…
Descriptors: Persuasive Discourse, Classification, Artificial Intelligence, Statistical Analysis
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Louie Giray; Jomarie Jacob; Valerie Encanto; Crisza Joy Mansilungan – Journal of Academic Ethics, 2026
Employing a qualitative research design utilizing semi-structured interviews we explored the motivations of Filipino undergraduate students who admitted to using generative AI (GenAI) to cheat in their writing. Using the theory of planned behavior as a theoretical framework this study, we found that students reframed GenAI cheating as a legitimate…
Descriptors: Foreign Countries, Artificial Intelligence, Undergraduate Students, Cheating
Talwar, Paraminder – ProQuest LLC, 2023
Presently, the universities are under exceeding strain of increasing faculty engagement and job satisfaction since due to COVID-19 the faculty is being overwhelmed by having to adapt to new ways of teaching (online, hybrid, flip, etc.) while conducting other activities such as administrative work, service, research, and continuous learning. This…
Descriptors: Technology Uses in Education, Teaching Assistants, Artificial Intelligence, College Faculty
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Shakya, Anup; Rus, Vasile; Venugopal, Deepak – International Educational Data Mining Society, 2023
Understanding a student's problem-solving strategy can have a significant impact on effective math learning using Intelligent Tutoring Systems (ITSs) and Adaptive Instructional Systems (AISs). For instance, the ITS/AIS can better personalize itself to correct specific misconceptions that are indicated by incorrect strategies, specific problems can…
Descriptors: Equal Education, Mathematics Education, Word Problems (Mathematics), Problem Solving
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Yau, King Woon; CHAI, C. S.; Chiu, Thomas K. F.; Meng, Helen; King, Irwin; Yam, Yeung – Education and Information Technologies, 2023
Artificial intelligence (AI) education for K-12 students is an emerging necessity, owing to the rapid advancement and deployment of AI technologies. It is essential to take teachers' perspectives into account when creating ecologically valid AI education programmes for K-12 settings. However, very few studies investigated teacher perception of AI…
Descriptors: Foreign Countries, Secondary School Teachers, Artificial Intelligence, Teacher Attitudes
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Ng, Davy Tsz Kit; Leung, Jac Ka Lok; Su, Jiahong; Ng, Ross Chi Wui; Chu, Samuel Kai Wah – Educational Technology Research and Development, 2023
The pandemic has catalyzed a significant shift to online/blended teaching and learning where teachers apply emerging technologies to enhance their students' learning outcomes. Artificial intelligence (AI) technology has gained its popularity in online learning environments during the pandemic to assist students' learning. However, many of these AI…
Descriptors: Teacher Competencies, Digital Literacy, 21st Century Skills, Artificial Intelligence
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Cooper, Grant – Journal of Science Education and Technology, 2023
The advent of generative artificial intelligence (AI) offers transformative potential in the field of education. The study explores three main areas: (1) How did ChatGPT answer questions related to science education? (2) What are some ways educators could utilise ChatGPT in their science pedagogy? and (3) How has ChatGPT been utilised in this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Education, Research Tools
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DiCarlo, Cynthia F.; Deris, Aaron R.; Deris, Thomas P. – Journal of Behavioral Education, 2023
The purpose of this study was to investigate the impact of mLearning or mobile device practice on the attention and accuracy of student's use of math concepts, specifically, telling time. A single subject, alternating treatment design was used to compare mLearning to paper and pencil practice in four 3rd grade male students. Results were mixed;…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Handheld Devices, Attention
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Lee, Donghwa; Kim, Hong-hyeon; Sung, Seok-Hyun – Educational Technology Research and Development, 2023
For decades, AI applications in education (AIEd) have shown how AI can contribute to education. However, a challenge remains: how AIEd, guided by educational knowledge, can be made to meet specific needs in education, specifically in supporting learners' autonomous learning. To address this challenge, we demonstrate the process of developing an…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Second Language Learning
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Caputi, Marcella; Bosacki, Sandra – Journal of Early Adolescence, 2023
The relation between cognition and life satisfaction is shaped by several factors. The present research investigated whether mindreading skills are linked to subjective well-being and anxiety during the transition into adolescence. Specifically, our aim was to investigate individual differences in those constructs and gendered relational patterns.…
Descriptors: Theory of Mind, Foreign Countries, Middle School Students, Grade 6
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Zhang, Chengming; Schießl, Jessica; Plößl, Lea; Hofmann, Florian; Gläser-Zikuda, Michaela – International Journal of Educational Technology in Higher Education, 2023
Over the past few years, there has been a significant increase in the utilization of artificial intelligence (AI)-based educational applications in education. As pre-service teachers' attitudes towards educational technology that utilizes AI have a potential impact on the learning outcomes of their future students, it is essential to know more…
Descriptors: Artificial Intelligence, Preservice Teachers, Technology Uses in Education, Student Attitudes
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