NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 202557
Laws, Policies, & Programs
Individuals with Disabilities…1
Assessments and Surveys
ACTFL Oral Proficiency…1
What Works Clearinghouse Rating
Showing 1 to 15 of 57 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jeromie Whalen; William Grube; Chenyang Xu; Torrey Trust – TechTrends: Linking Research and Practice to Improve Learning, 2025
Launched in November of 2022, the generative artificial intelligence tool ChatGPT garnered immediate societal interest and adoption as its advanced large language modeling proved capable of producing sophisticated, human-like responses to user-generated prompts. In this preliminary study, K-12 teachers in the United States were surveyed on their…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Teacher Response
Peer reviewed Peer reviewed
Direct linkDirect link
Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Diana Kirk; Andrew Luxton-Reilly; Ewan Tempero – ACM Transactions on Computing Education, 2025
Objectives: Code style is an important aspect of text-based programming because programs written with good style are considered easier to understand and change and so improve the maintainability of the delivered software product. However teaching code style is complicated by the existence of many style guides and standards that contain…
Descriptors: Computer Science Education, Programming, Computer Software, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Sarah Prestridge; Kym Fry; Eun-Ji Amy Kim – Technology, Pedagogy and Education, 2025
The broad approach to using Generative AI in K-12 schooling focuses on identifying risks and productivity gains rather than the more complex issues of transformational change. As a response, this study examined how school leaders considered Gen AI transformation within their disciplines. Ten subject leaders were interviewed about their pedagogical…
Descriptors: Teacher Attitudes, Secondary School Teachers, Artificial Intelligence, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Jinhe Zhang – European Journal of Education, 2025
This study explores how well DAW software works for students' 'Academic Singing' training in raising their motivation and academic performance. The practical portion included a case study based on the BandLab DAW system, including its educational analysis. A five-month experiment was conducted with 150 s-year [Harbin Normal University]…
Descriptors: Music Education, Singing, Computer Software, Student Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Rebecca J. Collie; Andrew J. Martin – Social Psychology of Education: An International Journal, 2025
Educational bodies are weighing up the extent to which generative artificial intelligence (genAI) is embedded within educational settings. Although researchers have examined how (generative) AI can be used for effective teaching and learning, less is known about how genAI was being integrated within teachers' practice shortly after the wide-scale…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Acacia L. Overono; Annie S. Ditta – Teaching of Psychology, 2025
Introduction: The proliferation and accessibility of generative artificial intelligence (AI) have led to strong reactions across the academia. Statement of the Problem: Teachers can adapt to the availability of AI by integrating disclosure statements about its use into courses, which may promote student learning. Literature Review: Suggestions to…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Self Disclosure (Individuals)
Peer reviewed Peer reviewed
Direct linkDirect link
Zehavit Kohen; Liron Schwartz-Aviad; Tomer Peleg – International Journal of Mathematical Education in Science and Technology, 2025
This study examines a Technology, Pedagogy, Content Knowledge (TPACK) training framework for pre- and in-service mathematics teachers that enables them to experience inquiry-based learning as learners in a dynamic geometry environment that serves as a mathematics laboratory. We investigate the effect of this experience on the teachers' TPACK,…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Teachers, Preservice Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
L. Perla; L. S. Agrati; A. Beri – Professional Development in Education, 2025
The study presented investigated the relations between personal factors and teachers' attitudes towards AI in order to deduce implications for professional learning and test a "post-teaching" theoretical hypothesis. A survey was conducted on the opinions of 177 teachers involved in the secondary school qualification course. The teachers…
Descriptors: Faculty Development, Teacher Attitudes, Artificial Intelligence, Risk
Peer reviewed Peer reviewed
Direct linkDirect link
Yumeng Zhu; Caifeng Zhu; Tao Wu; Shulei Wang; Yiyun Zhou; Jingyuan Chen; Fei Wu; Yan Li – Education and Information Technologies, 2025
With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…
Descriptors: Artificial Intelligence, Assignments, Middle School Students, Influence of Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Cleon Xavier; Luiz Rodrigues; Newarney Costa; Rodrigues Neto; Gabriel Alves; Taciana Pontual Falcao; Dragan Gasevic; Rafael Ferreira Mello – IEEE Transactions on Learning Technologies, 2025
Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…
Descriptors: Teacher Empowerment, Learning Analytics, Artificial Intelligence, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Stacy N. McGuire; Rebecca Folkerts; Charissa Richards; Hedda Meadan; Rayan Alqunaysi; Christy D. Yoon – Technology, Pedagogy and Education, 2025
Early childhood teachers receive some training related to overall classroom management but report receiving little training and support when working with children who engage in challenging behaviour. To alleviate the barriers to supporting students who engage in challenging behaviour, it may be helpful to implement a technology tool that provides…
Descriptors: Early Childhood Teachers, Behavior Modification, Student Behavior, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Peter J. Kalenda; Logan Rath; Marium Abugasea Heidt; Allison Wright – Journal of Educational Technology Systems, 2025
This study explores preservice education student perceptions on ChatGPT's ability to write lesson plans through the use of a guided analysis process with 59 undergraduate and graduate students enrolled in STEM, TESOL, and Social studies methods courses for grades PreK-12. A pre- post-survey and a reflection on the strengths and weaknesses of…
Descriptors: Preservice Teachers, Teacher Attitudes, Technology Uses in Education, Synchronous Communication
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Molly Chehak; Maggie Debelius; Jake Holtschlag; Grace Kim; Kenny Le; Sarah Lyons; Hugo Nutting; Sophia Oh – International Journal for Students as Partners, 2025
We present a case study of co-creating a policy for the use of generative artificial intelligence (AI) in a writing course at Georgetown University in Washington, DC. Students and faculty in two sections of a required 1st-year writing course worked to draft and respond to a policy about AI and then reflected on the experience. Student reflections…
Descriptors: Artificial Intelligence, Computer Software, Policy Formation, Writing Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tiia Rüütmann; Urve Läänemets – International Baltic Symposium on Science and Technology Education, 2025
This study explores generative mechanisms of curriculum design from a human-centred perspective, with a focus on the integration of Artificial Intelligence (AI) into engineering education. As curricula evolve to meet the demands of a technologically advanced and globally connected society, it is crucial to preserve the educational values rooted in…
Descriptors: Curriculum Development, Artificial Intelligence, Computer Software, Technology Integration
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4