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Direct linkJian-hui Wu – Journal of Educational Computing Research, 2025
The objective of this research is to investigate how AI-improved dynamic physical education materials impact middle school education in physical settings. Utilizing a randomized controlled crossover approach, a 16-week study involved 120 students aged 12 to 18 to evaluate the impact of AI-enhanced physical education courses against traditional…
Descriptors: Artificial Intelligence, Physical Education, Instructional Materials, Middle School Students
Zhai, Xiaoming; He, Peng; Krajcik, Joseph – Journal of Research in Science Teaching, 2022
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment…
Descriptors: Artificial Intelligence, Science Education, Models, Middle School Students
Jon-Chao Hong; Chien-Hung Lin; Chin-Chieh Juh – Interactive Learning Environments, 2024
Referring to the advantages of intelligent personal assistants, or virtual agents, Charades can be implemented with a Chatbot to enhance students' vocabulary mastery. However, only a few studies have addressed the effectiveness of learning through practice with chatbots based on the Charades approach. We designed a Charades game using Google…
Descriptors: Artificial Intelligence, Computer Uses in Education, Games, Vocabulary Development
Download full textHillary Greene Nolan; Merijke Coenraad; Viki Young – Digital Promise, 2024
This study investigates how teachers understand and position AI tools in middle school writing instruction, drawing on 27 teacher interviews collected during a study called Project Topeka that used an interactive argumentative writing platform with AI-generated scores and feedback. Based on the interviews, we generate an initial theoretical…
Descriptors: Writing Instruction, Computer Assisted Instruction, Artificial Intelligence, Computer Uses in Education
Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild
Pugh, Samuel L.; Subburaj, Shree Krishna; Rao, Arjun Ramesh; Stewart, Angela E. B.; Andrews-Todd, Jessica; D'Mello, Sidney K. – International Educational Data Mining Society, 2021
We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…
Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students
Gadanidis, George – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to examine the intersection of artificial intelligence (AI), computational thinking (CT), and mathematics education (ME) for young students (K-8). Specifically, it focuses on three key elements that are common to AI, CT and ME: agency, modeling of phenomena and abstracting concepts beyond specific instances.…
Descriptors: Artificial Intelligence, Computation, Mathematics Education, Elementary School Mathematics
Mack Shelley, Editor; Ozkan Akman, Editor; Sabri Turgut, Editor – International Society for Technology, Education, and Science, 2024
"Proceedings of International Conference on Humanities, Social and Education Sciences" includes full papers presented at the International Conference on Humanities, Social and Education Sciences (iHSES) which took place on April 16-19, 2024, in San Francisco, California, United States of America. The aim of the conference is to offer…
Descriptors: Computer Uses in Education, Artificial Intelligence, Lifelong Learning, Community College Students
