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Darby Drageset; Yu-Chia Kao; Nigel A. Newbutt; Kent J. Crippen – Research in Science Education, 2025
This exploratory study, framed by the Contextual Model of Learning, sought to define the personal context of autistic visitors and their families attending a sensory-friendly natural history museum event as a science learning experience. The study focused on the motivations and expectations for visiting the museum, as well as how the inclusion of…
Descriptors: Museums, Computer Simulation, Exhibits, Family (Sociological Unit)
Peer reviewedClayton Cohn; Surya Rayala; Caitlin Snyder; Joyce Horn Fonteles; Shruti Jain; Naveeduddin Mohammed; Umesh Timalsina; Sarah K. Burriss; Ashwin T. S.; Namrata Srivastava; Menton Deweese; Angela Eeds; Gautam Biswas – Grantee Submission, 2025
Collaborative dialogue offers rich insights into students' learning and critical thinking. This is essential for adapting pedagogical agents to students' learning and problem-solving skills in STEM+C settings. While large language models (LLMs) facilitate dynamic pedagogical interactions, potential hallucinations can undermine confidence, trust,…
Descriptors: STEM Education, Computer Science Education, Artificial Intelligence, Natural Language Processing
Alexis L. d'Amato; Emma Theobald; Madison N. Scott; Joel S. Elson; Samuel T. Hunter – Journal of Creative Behavior, 2025
Through the lens of the similarity-attraction principle, we conducted a pair of studies to examine how perceived physical similarity influences the role similarity and ingroup affinity drives malevolent creativity ideation. Study 1 (N = 305) participants were assigned to teams using the minimal group paradigm and then were given a social threat…
Descriptors: Creativity, Negative Attitudes, Computer Simulation, Psychological Patterns
Jinhee Kim; Young Hoan Cho – Asia Pacific Journal of Education, 2025
Educators expect artificial intelligence (AI) to augment student capabilities and rapidly transform teaching and learning practices. However, little is known about students' perceptions of AI and what they expect from AI in student-AI teaming. There is a lack of holistic understanding of the nature, effects, and areas of improvement in teamwork by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, Expectation
Julie A. Moore; Natalie J. Berger – Teachers College Press, 2025
This practical resource offers a variety of facilitation moves and choices that one should consider when leading a virtual learning community. Do you facilitate a virtual learning community? Would you like to learn strategies and moves that ensure your participants have a valuable and meaningful experience? Protocols have been used in education…
Descriptors: Communities of Practice, Computer Mediated Communication, Videoconferencing, Interpersonal Relationship
Yoana Omarchevska; Anouschka van Leeuwen; Tim Mainhard – Journal of Computing in Higher Education, 2025
In the flipped classroom, students engage in preparatory activities to study the course materials prior to attending teacher-guided sessions. Students' success in the flipped classroom is directly related to their preparation and students tend to change their preparation activity over time. Few studies have investigated why students change their…
Descriptors: Blended Learning, College Students, Metacognition, Learning Motivation
Mark W. Isken – INFORMS Transactions on Education, 2025
A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and…
Descriptors: Spreadsheets, Models, Programming Languages, Monte Carlo Methods
Lovisa Sumpter; Anneli Blomqvist – International Electronic Journal of Mathematics Education, 2025
Knowing functions and functional thinking have recently moved from just knowledge for older students to incorporating younger students, and functional thinking has been identified as one of the core competencies for algebra. Although it is significant for mathematical understanding, there is no unified view of functional thinking and how different…
Descriptors: Thinking Skills, Mathematics Instruction, Mathematical Concepts, Concept Formation
Manus Phuttawong; Pinanta Chatwattana – Higher Education Studies, 2025
The educational guidance platform via artificial intelligence chatbot to promote vocational aptitude for vocational students or the educational guidance platform via AI Chatbot is a research tool that was designed with the combination of educational guidance process, artificial intelligence technology, and chat platforms like LINE and Messenger.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Vocational Aptitude, Career and Technical Education
Kuan-Yu Jin; Wai-Lok Siu – Journal of Educational Measurement, 2025
Educational tests often have a cluster of items linked by a common stimulus ("testlet"). In such a design, the dependencies caused between items are called "testlet effects." In particular, the directional testlet effect (DTE) refers to a recursive influence whereby responses to earlier items can positively or negatively affect…
Descriptors: Models, Test Items, Educational Assessment, Scores
Xin Gong; Weiqi Xu; Ailing Qiao; Zhixia Li – Journal of Computer Assisted Learning, 2025
Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…
Descriptors: Mental Computation, Thinking Skills, Skill Development, Robotics
Lorenzo Valente; Federico De Lorenzis; Davide Calandra; Fabrizio Lamberti – IEEE Transactions on Learning Technologies, 2025
In recent years, first responders have faced increasing challenges in their operations, highlighting a growing need for specialized and comprehensive training. In particular, the firefighting incident commanders (ICs) are playing a pivotal role, providing directions to field operators and making critical decisions in emergency situations. Over…
Descriptors: Fire Protection, Experiential Learning, Job Training, Computer Simulation
Phil Seok Oh; Gyeong-Geon Lee – Science & Education, 2025
How and why science education scholars and practitioners might use artificial intelligence (AI) in the classroom has been a controversial agenda for decades. ChatGPT, a state-of-the-art (SOTA) AI released in November 2022, has attracted global interest for its exceptionally high performance in generating human-like natural language answers to…
Descriptors: Science Education, Artificial Intelligence, Cognitive Processes, Affective Behavior
William Billingsley – Science & Education, 2025
This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Remsh Nasser Alqahtani; Ahmad Zaid Almassaad – Education and Information Technologies, 2025
The aim of research is to reveal the effect of a training program based on the TAWOCK model for teaching computational thinking skills on teaching self-efficacy among computer teachers. It used the quasi-experimental approach, with a pre-test and post-test design with a control group. An electronic training program based on the TAWOCK model was…
Descriptors: Models, Teaching Methods, Computation, Thinking Skills

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