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Showing 1 to 15 of 49 results Save | Export
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Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
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Schulz, Sandra; McLaren, Bruce M.; Pinkwart, Niels – International Journal of Artificial Intelligence in Education, 2023
This paper develops a method for the construction and evaluation of cognitive models to support students in their problem-solving skills during robotics in school, aiming to build a basis for an implementation of a tutoring system in the future. Two Wizard-of-Oz studies were conducted, one in the classroom and one in the lab. Based on the…
Descriptors: Cognitive Processes, Models, Intelligent Tutoring Systems, Robotics
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Hefter, Markus H.; Fromme, Bärbel; Berthold, Kirsten – Applied Cognitive Psychology, 2022
Future teachers face the challenge of whether and how to address their students' misconceptions--naïve concepts that often conflict with the correct scientific concepts taught at school. We developed a short-term digital training intervention on instructional knowledge about strategies for addressing students' misconceptions in physics. It…
Descriptors: Physics, Scientific Concepts, Misconceptions, Cognitive Processes
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Luo, Zhenzhen; Jingying, Chen; Guangshuai, Wang; Mengyi, Liao – Interactive Learning Environments, 2022
A student's interest level can strongly affect the learning process, and thus, can be considered an important factor in the effort to improve learning. Presently, student interest is primarily assessed by administering questionnaires or conducting case analyses. However, this method cannot provide timely feedback in the learning environment to…
Descriptors: Student Interests, Technology Uses in Education, Models, Attention
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Natalia Riapina – Business and Professional Communication Quarterly, 2024
This article presents a conceptual framework for integrating AI-enabled business communication in higher education. Drawing on established theories from business communication and educational technology, the framework provides comprehensive guidance for designing engaging learning experiences. It emphasizes the significance of social presence,…
Descriptors: Artificial Intelligence, Business Communication, Higher Education, Technology Uses in Education
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Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
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Pedro Isaias, Editor; Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…
Descriptors: Artificial Intelligence, Cognitive Processes, Discovery Learning, Teaching Methods
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Bima Sapkota; Liza Bondurant – International Journal of Technology in Education, 2024
In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises…
Descriptors: Cognitive Processes, Difficulty Level, Artificial Intelligence, Natural Language Processing
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Yasar, Osman; Veronesi, Peter; Maliekal, Jose; Little, Leigh – Journal of Computers in Mathematics and Science Teaching, 2021
We describe a professional development program to help students retrieve content they learned in class, retain it, and apply it in different contexts to solve novel problems using cognitive learning strategies. These strategies range from simple electronic flashcards for basic memory retrieval strategies to low-stakes quizzes for spaced-out and…
Descriptors: Faculty Development, Memory, Recall (Psychology), STEM Education
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Alastair D. Smith – Science & Education, 2025
Immersive virtual reality (VR) carries important potential, both for the creation of scientific knowledge and also for its communication. This is particularly important for studies of human spatial cognition, where psychologists now possess the power to combine the scale and fidelity of the real world with the malleability and control of the…
Descriptors: Computer Simulation, Spatial Ability, Cognitive Processes, Influence of Technology
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Swiecki, Zachari; Ruis, Andrew R.; Gautam, Dipesh; Rus, Vasile; Williamson Shaffer, David – British Journal of Educational Technology, 2019
"Learning-in-action" depends on interactions with learning content, peers and real world problems. However, effective learning-in-action also depends on the extent to which students are "active-in-thinking," making meaning of their learning experience. A critical component of any technology to support active thinking is the…
Descriptors: Educational Technology, Technology Uses in Education, Automation, Models
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Li, Fengying; He, Yifeng; Xue, Qingshui – Educational Technology & Society, 2021
With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…
Descriptors: Educational Technology, Artificial Intelligence, Student Needs, Individualized Instruction
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Lee, Soon Chun; Irving, Karen; Pape, Stephen; Owens, Douglas – Journal of Computers in Mathematics and Science Teaching, 2015
Increased teacher awareness of student thinking and understanding enables teachers to better support students' learning by allowing for increased formative feedback that clarifies students' understanding and supports their construction of knowledge. However, many science teachers do not possess skills related to assessing student learning and…
Descriptors: Technology Uses in Education, Interaction, Metacognition, Teaching Methods
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McKinney, Jason S. – Journal of Teaching in Social Work, 2019
The movement towards competency-based education in social work has required a shift in delivery to more experiential learning opportunities for students. Looking forward, the Council on Social Work Education [CSWE] has instituted a Futures Task Force, exploring roles social workers may play in the future, with particular attention to the evolution…
Descriptors: Teaching Methods, Social Work, Simulated Environment, Blended Learning
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Euler, Elias; Rådahl, Elmer; Gregorcic, Bor – Physical Review Physics Education Research, 2019
In this paper, we present a case study of a pair of students as they use nondisciplinary communicative practices to mechanistically reason about binary star dynamics. To do so, we first review and bring together the theoretical perspectives of social semiotics and embodied cognition, therein developing a new methodological approach for analyzing…
Descriptors: Physics, Science Instruction, Logical Thinking, Semiotics
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