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Rong Yaojun; Kizito Tekwa – Education and Information Technologies, 2025
Research on using generative artificial intelligence (GenAI) chatbots in learning environments continues to underpin research in and out of academia. However, GenAI text-to-video (T2V) models have not been adequately investigated in academia, mostly due to their novelty. That means their potential to improve learning remains to be determined. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Captions, Video Technology
Tianyuan Yang; Baofeng Ren; Chenghao Gu; Boxuan Ma; Shin 'ichi Konomi – International Association for Development of the Information Society, 2024
As education increasingly shifts towards a technology-driven model, artificial intelligence systems like ChatGPT are gaining recognition for their potential to enhance educational support. In university education and MOOC environments, students often select courses that align with their specific needs. During this process, access to information…
Descriptors: Concept Formation, Artificial Intelligence, Computer Uses in Education, MOOCs
Adam B. Lockwood – Communique, 2025
School psychologists constantly seek innovative ways to support students and colleagues. They understand the unique challenges within schools, including complex student needs, systemic pressures, and ever-increasing paperwork. What if they could create custom digital tools like games, interactive simulations, or decision-making aids, all tailored…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Computer Oriented Programs
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Keith Cochran; Clayton Cohn; Peter Hastings; Noriko Tomuro; Simon Hughes – International Journal of Artificial Intelligence in Education, 2024
To succeed in the information age, students need to learn to communicate their understanding of complex topics effectively. This is reflected in both educational standards and standardized tests. To improve their writing ability for highly structured domains like scientific explanations, students need feedback that accurately reflects the…
Descriptors: Science Process Skills, Scientific Literacy, Scientific Concepts, Concept Formation
Jiaqing Tong – ProQuest LLC, 2022
Though efforts have been made for centuries, how concepts are represented in the brain is still elusive. The embodiment view claims that the sensory, motor and other brain areas through which people acquire concept information during life experiences represent this information during concept retrieval. Some compelling neurobiological evidence…
Descriptors: Concept Formation, Brain Hemisphere Functions, Evidence, Models
Andrew Williams – Intersection: A Journal at the Intersection of Assessment and Learning, 2025
Generative AI has the potential to transform higher education assessment. This study examines the opportunities and challenges of integrating AI into coursework assessments, highlighting the need to rethink traditional paradigms. A case study is presented that explores AI as an auxiliary learning tool in postgraduate coursework. Students found AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Higher Education
Blanka Klimova; Victor Paiva Luz de Campos – Cogent Education, 2024
At present, ChatGPT is penetrating all spheres of human activities, and especially education is no exception. The purpose of this exploratory study is to examine the potentials and pitfalls of using ChatGPT for academic purposes among university students, as well as provide relevant pedagogical implications for its use in academia. The methodology…
Descriptors: Undergraduate Students, Undergraduate Study, Student Attitudes, Artificial Intelligence
Fabian Kieser; Peter Wulff; Jochen Kuhn; Stefan Küchemann – Physical Review Physics Education Research, 2023
Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
Miller, James R. – Journal of Verbal Learning and Verbal Behavior, 1981
Presents a computer simulation testing semantic networks and spreading activation models of human memory. Describes how a sentence is encoded by building a working memory structure from its words and from semantic memory concepts related to its meaning. Retrieval processes use cue words or sentences to locate working memory structures. (Author/MES)
Descriptors: Artificial Intelligence, Cognitive Processes, Computers, Concept Formation
Peer reviewedDenhiere, Guy – Languages, 1975
The principal recent models of semantics, conceptual, and lexical memory are explicated and criticized. A description of long-term is developed in terms of these models. (Text is in French.) (DB)
Descriptors: Artificial Intelligence, Cognitive Processes, Concept Formation, Information Theory
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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