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Kalervo N. Gulson; Sam Sellar – Journal of Education Policy, 2024
The growing use of artificial intelligence in education extends and intensifies technologies of governing, including datafication, performativity and accountability. In this article, we outline how the use of AI and data science has the disruptive potential to create new norms in education policy and governance. We report on an ethnographic…
Descriptors: Artificial Intelligence, Educational Policy, Governance, Evidence
Kwende, Maurine K. – ProQuest LLC, 2023
Instructional designers make numerous decisions daily to perform their job, for example, what authoring tool to use, what model or strategy to use, and what design process to use to develop learning solutions. Decision-making is important in the field of instructional design. The literature revealed many factors or variables instructional…
Descriptors: Delphi Technique, Expertise, Instructional Design, Decision Making
Leila Mirzoyeva; Oxana Syurmen – Novitas-ROYAL (Research on Youth and Language), 2024
Nowadays, information and the speed of its delivery to recipients determine success in many spheres, including entertainment, and audio-visual translation plays a vital role in reaching a broad audience, particularly with popular TV shows, series, and soap operas/TV Series. However, overnight translation of audio-visual content usually results in…
Descriptors: Foreign Countries, Translation, Television, Popular Culture
Schiff, Daniel – International Journal of Artificial Intelligence in Education, 2022
As of 2021, more than 30 countries have released national artificial intelligence (AI) policy strategies. These documents articulate plans and expectations regarding how AI will impact policy sectors, including education, and typically discuss the social and ethical implications of AI. This article engages in thematic analysis of 24 such national…
Descriptors: Artificial Intelligence, Public Policy, Role of Education, Ethics
Logan Sizemore; Brian Hutchinson; Emily Borda – Chemistry Education Research and Practice, 2024
Education researchers are deeply interested in understanding the way students organize their knowledge. Card sort tasks, which require students to group concepts, are one mechanism to infer a student's organizational strategy. However, the limited resolution of card sort tasks means they necessarily miss some of the nuance in a student's strategy.…
Descriptors: Artificial Intelligence, Chemistry, Cognitive Ability, Abstract Reasoning
Stefan E. Huber; Kristian Kiili; Steve Nebel; Richard M. Ryan; Michael Sailer; Manuel Ninaus – Educational Psychology Review, 2024
This perspective piece explores the transformative potential and associated challenges of large language models (LLMs) in education and how those challenges might be addressed utilizing playful and game-based learning. While providing many opportunities, the stochastic elements incorporated in how present LLMs process text, requires domain…
Descriptors: Artificial Intelligence, Language Processing, Models, Play
Tao Huang; Jing Geng; Yuxia Chen; Han Wang; Huali Yang; Shengze Hu – Education and Information Technologies, 2024
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…
Descriptors: Artificial Intelligence, Elementary Schools, Secondary Schools, Prediction
Tal Waltzer; Celeste Pilegard; Gail D. Heyman – International Journal for Educational Integrity, 2024
The release of ChatGPT in 2022 has generated extensive speculation about how Artificial Intelligence (AI) will impact the capacity of institutions for higher learning to achieve their central missions of promoting learning and certifying knowledge. Our main questions were whether people could identify AI-generated text and whether factors such as…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, College Students
Rebekah M. Chiasson; Alan K. Goodboy; Megan A. Vendemia; Nathaniel Beer; Gracyn C. Meisz; Laken Cooper; Alyssa Arnold; Austin Lincoski; William George; Cole Zuckerman; Jessica Schrout – Communication Education, 2024
Three within-subject experiments were conducted by providing students with answers to content questions across different subject matters (a definition, explanation, and example) offered by a human professor (subject-matter expert) versus generative artificial intelligence (ChatGPT). In a randomized order, students read both the expert and…
Descriptors: College Faculty, Expertise, Artificial Intelligence, Man Machine Systems
Kovalkov, Anastasia; Paaßen, Benjamin; Segal, Avi; Pinkwart, Niels; Gal, Kobi – IEEE Transactions on Learning Technologies, 2021
Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure. In this article, we make the journey from defining a formal measure of creativity, that is, efficiently computable to applying the measure in a practical domain. The measure is general and relies on core theoretical concepts in…
Descriptors: Creativity, Programming, Measurement Techniques, Models
Matthew Landers – Higher Education for the Future, 2025
This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…
Descriptors: Ethics, Cheating, Plagiarism, Artificial Intelligence
Bellas, Francisco; Guerreiro-Santalla, Sara; Naya, Martin; Duro, Richard J. – International Journal of Artificial Intelligence in Education, 2023
This paper presents a proposal of specific curriculum in Artificial Intelligence (AI) for high school students, which has been organized as a two-year subject. The curriculum was designed based on two premises. The first one is that, although the proposal is targeted to scientific programmes, the involved students and teachers do not have any…
Descriptors: Foreign Countries, Artificial Intelligence, Curriculum, High Schools
Denis Dumas; James C. Kaufman – Educational Psychology Review, 2024
Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…
Descriptors: Decision Making, Creativity, Task Analysis, Psychologists
Hu, Xiaoyong; He, Wei; Chiu, Thomas K. F.; Zhao, Li – Education and Information Technologies, 2023
Recently, Artificial Intelligence (AI), seen as an engineering domain, has been introduced into school education, but its pedagogy remains unclear. In general, group learning has been applied as a primary form of instruction in hands-on engineering activities. This learning approach is more common in higher education. School students are less…
Descriptors: Middle School Students, Artificial Intelligence, Group Activities, Group Behavior
Suthada Muengsan; Pinanta Chatwattana – Higher Education Studies, 2024
The GbL platform, or game-based learning platform, with generative AI is a research tool initiated from the combination of game-based learning concepts and generative artificial intelligence technology; thereby, this platform is intended to be used as a guideline for the instruction management, in which learners can respond and interact with the…
Descriptors: Artificial Intelligence, Game Based Learning, Digital Literacy, Technological Literacy
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