NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 271 to 285 of 481 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Monteith, Barnas; Noyce, Pendred; Zhang, Pei – Science Teacher, 2022
This article describes a novel approach to teaching Artificial intelligence (AI) using artistic themes with a cohort of 20 high school students, ranging in age from 13 to 16 at the Beijing Academy, in Chaoyang District, Beijing, China. The elective class was conducted online by U.S.-based teachers as part of an ongoing partnership to provide…
Descriptors: Foreign Countries, Artificial Intelligence, High School Students, STEM Education
Peer reviewed Peer reviewed
Direct linkDirect link
Stolzenberger, Christoph; Frank, Florian; Trefzger, Thomas – Physics Education, 2022
With the help of augmented reality apps objects and text can be added virtually to the physical world (e.g. physical experiments) in real time. The augmented reality (AR) app 'PUMA: "Spannungslabor"' enhances simple electric circuits experiments for students with virtual representations based on the electron gas analogy including…
Descriptors: Physics, Science Instruction, Energy, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Ai-Chu Elisha Ding – Journal of Research on Technology in Education, 2024
Multilingual learners (MLs) often struggle with science conceptual learning partly due to the abstractness of the concepts and the complexity of scientific texts. This study presents a case of a Virtual Reality (VR) enhanced science learning unit to support middle-school students' science conceptual learning. Using a transformative mixed methods…
Descriptors: Multilingualism, Science Education, Learning Processes, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Aslihan Unal; Zafer Unal – Journal of Interactive Learning Research, 2024
This study explored K-12 teachers' perceptions of using artif icial intelligence (AI) in the classroom, aiming to understand their preparedness for professional development focused on AI integration. This paper presents findings from 141 in-service teachers enrolled in graduate programs at a Southern University, highlighting their views on AI,…
Descriptors: Technology Integration, Artificial Intelligence, Technology Uses in Education, Teacher Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Catherine Lammert; Samuel DeJulio; Stephanie Grote-Garcia; Lucretia M. Fraga – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
Since ChatGPT launched in 2022, teachers and administrators have had the challenge of using generative Artificial Intelligence (AI) effectively while minimizing the negative consequences of its presence in schools. Today, AI-enabled lesson plan generators such as Diffit and MagicSchool AI are widely available to teachers, but no research has…
Descriptors: Artificial Intelligence, Lesson Plans, Access to Education, Educational Quality
Peer reviewed Peer reviewed
Direct linkDirect link
Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yildiz, Muhammed Berke; Börekci, Caner – Journal of Educational Technology and Online Learning, 2020
Education systems produce a large number of valuable data for all stakeholders. The processing of these educational data and making studies on the future of education based on the data reveal highly meaningful results. In this study, an insight was tried to be developed on the educational data collected from ninth-grade students by using data…
Descriptors: Grade Prediction, Academic Achievement, Artificial Intelligence, Grade 9
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Amy Adair; Ellie Segan; Janice Gobert; Michael Sao Pedro – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards, such as the Next Generation Science Standards (NGSS). However, students often struggle with these two intersecting practices, particularly when developing mathematical models about scientific phenomena. Formative…
Descriptors: Artificial Intelligence, Mathematical Models, Science Process Skills, Inquiry
Peer reviewed Peer reviewed
Direct linkDirect link
Yamamoto, Scott H.; Alverson, Charlotte Y. – Autism & Developmental Language Impairments, 2022
Background and Aims: The fastest growing group of students with disabilities are those with Autism Spectrum Disorder (ASD). States annually report on post-high school outcomes (PSO) of exited students. This study sought to fill two gaps in the literature related to PSO for exited high-school students with ASD and the use of state data and…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, High School Graduates, Outcomes of Education
Abhijit Suresh – ProQuest LLC, 2022
Over the past decade, robust literature focused on teacher "talk moves" that promote student argumentation has emerged, especially in mathematics education. Teachers and students can use talk moves to construct conversations in which students share their thinking, actively consider the ideas of others, and engage in sustained reasoning.…
Descriptors: Automation, Feedback (Response), Teacher Effectiveness, Discourse Modes
Matthew Frazier – ProQuest LLC, 2024
Online educational resources (e.g., curricula, tutorials, documentation, Q&A sites) increasingly serve as key sources for secondary school students learning Computer Science Principles (CSP). A big obstacle to using these resources is finding information appropriate for the learning task and learner's background. Research shows that secondary…
Descriptors: Computer Science Education, Secondary School Students, Student Characteristics, Information Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Shannon Sung; Xiaotong Ding; Rundong Jiang; Elena Sereiviene; Dylan Bulseco; Charles Xie – Journal of Geoscience Education, 2024
Engineering projects, such as designing a solar farm that converts solar radiation shined on the Earth into electricity, engage students in addressing real-world challenges by learning and applying geoscience knowledge. To improve their designs, students benefit from frequent and informative feedback as they iterate. However, teacher attention may…
Descriptors: Artificial Intelligence, Teaching Assistants, Energy, Engineering
Peer reviewed Peer reviewed
Direct linkDirect link
Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…
Descriptors: English (Second Language), Speech Communication, English Language Learners, Anxiety
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ahmet Baytak – Research in Social Sciences and Technology, 2024
Following the emergence of chatbots, especially ChatGPT, researchers have begun to examine their capabilities, credibility, and reliability in educational context. In this study, ChatGPT and Google Gemini are used as technological tools to create 7th-grade lesson plans for mathematics, science, literature, and social studies classes. Using…
Descriptors: Lesson Plans, Content Analysis, Artificial Intelligence, Synchronous Communication
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
Pages: 1  |  ...  |  15  |  16  |  17  |  18  |  19  |  20  |  21  |  22  |  23  |  ...  |  33