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Varghese Panthalookaran – Higher Education for the Future, 2025
Unlike other technologies that augment human physical skills and abilities, artificial intelligence (AI) technologies interact with human thinking skills nurtured through various educational processes. Hence, advances in these technologies challenge the education sector to reimagine the suitable intellectual formation of students in the AI age. It…
Descriptors: Taxonomy, Artificial Intelligence, Thinking Skills, Educational Objectives
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Thomas M. Philip – National Education Policy Center, 2025
"Productive Struggle: How Artificial Intelligence is Changing Learning, Effort, and Youth Development in Education," recently released by Bellwether, considers the role of GenAI in education. It proposes a criterion for evaluating these new technologies' impact on student learning: When does ease afforded by GenAI enable greater…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Cognitive Processes
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Gal Sasson Lazovsky; Tuval Raz; Yoed N. Kenett – Journal of Creative Behavior, 2025
AsĀ artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…
Descriptors: Creativity, Questioning Techniques, Inquiry, Artificial Intelligence
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Chia-Jung Li; Gwo-Jen Hwang; Ching-Yi Chang; Hui-Chi Su – British Journal of Educational Technology, 2025
In professional training, developing critical thinking is essential for professionals to analyse problem situations and respond effectively to emergencies. Conventional professional training typically employs multimedia materials combined with progressive prompting (PP) to support trainees in constructing knowledge and solving problems on their…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prompting, Academic Achievement
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Yanyan Zhang; Xiaomin Lai; Suping Yi; Yefeng Lu – Education and Information Technologies, 2025
A new kind of reading platform supported by ChatGPT has quickly become a popular research assistant among students due to its instant natural language interaction and question-answering capabilities. This study explored the effects of ChatGPT-based reading platform on student's foreign language paper reading. A total of 64 undergraduate students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Undergraduate Students
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Sorin Valcea; Maria Riaz Hamdani; Shuai Wang – Journal of Management Education, 2024
This essay explores the nuanced impact of generative AI technologies on management and business education, framed through three paradoxes: the "Expertise Paradox" suggests that AI's adequate performance at lower-level tasks may weaken students' development of higher-level thinking; the "Innovation Paradox" states that AI's…
Descriptors: Artificial Intelligence, Natural Language Processing, Business Administration Education, Technology Uses in Education
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Yu Ji; Zehui Zhan; Tingting Li; Xuanxuan Zou; Siyuan Lyu – IEEE Transactions on Learning Technologies, 2025
The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…
Descriptors: Man Machine Systems, Technology Uses in Education, Artificial Intelligence, Learning Processes
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Kamal Upreti; Virendra Singh Kushwah; Prashant Vats; Md. Shane Alam; Rahul Singhai; Dhyanendra Jain; Akhilesh Tiwari – European Journal of Education, 2024
Students must receive the knowledge and skills they require for succeeding in a constantly changing world. Meeting each student's diverse needs, nevertheless, is difficult. For the purpose to promote student development and improve educational outcomes, this review study attempts to give a thorough conceptual framework for integrating both…
Descriptors: Learning Strategies, Cognitive Processes, Outcomes of Education, Student Development
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Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
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Small, Will – Journal of Philosophy of Education, 2020
Education aims not only at transmitting knowledge of facts, but also at the inculcation of abilities and propensities. We hope that students acquire not merely the ability to, e.g. think critically, but the propensity or habit of doing so--that critical thinking will be something they do do, not something they merely can do; that they will become,…
Descriptors: Cognitive Processes, Critical Thinking, Thinking Skills, Educational Philosophy
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Ali Mohammed Ahmed Dawahdeh; Mohammed Yousef Mai – European Journal of Education (EJED), 2021
This study aimed at investigating the relationship between multiple-intelligence and thinking patterns through critical thinking among tenth-grade students in Abu Dhabi private schools. This study used descriptive approach and SEM. Also, the study sample consisted of 350 students from five private schools in Abu Dhabi. The instruments used were…
Descriptors: Multiple Intelligences, Cognitive Processes, Critical Thinking, Grade 10
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Tingting Li; Yu Ji; Zehui Zhan – Asia Pacific Journal of Education, 2024
For student teachers' professional development, the emergence of generative artificial intelligence (AI) represents both opportunity and challenge. This exploratory quasi-experimental study aims to investigate the effects of "Human-Human" and "Human-Machine" collaborative learning approaches on the STEM teaching training…
Descriptors: Student Teachers, Teachers, Artificial Intelligence, Critical Thinking
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Yuchen Chen; Xinli Zhang; Lailin Hu – Educational Technology & Society, 2024
In conventional ancient Chinese poetry learning, students tend to be under-motivated and fail to understand many aspects of poetry. As generative artificial intelligence (GAI) has been applied to education, image-GAI (iGAI) provides great opportunities for students to generate visualized images based on their descriptions of poems, and to situate…
Descriptors: Elementary School Students, Grade 5, Poetry, Artificial Intelligence
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Stanovich, Keith E. – Educational Psychologist, 2016
The Nobel Prize in Economics was awarded in 2002 for work on judgment and decision-making tasks that are the operational measures of rational thought in cognitive science. Because assessments of intelligence (and similar tests of cognitive ability) are taken to be the quintessence of good thinking, it might be thought that such measures would…
Descriptors: Cognitive Processes, Cognitive Tests, Cognitive Science, Intelligence Tests
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Sternberg, Robert J. – Roeper Review, 2017
Serious identification of the gifted started with the work of Lewis Terman early in the 20th century. Terman's model, based largely on IQ, may have made sense in the early 20th century, but it no longer makes sense today. The problems that society needs its gifted individuals to solve in the 21st century require much more than IQ--in addition to…
Descriptors: Academically Gifted, Talent Identification, Intelligence Quotient, Models
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