NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 76 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Orkun Kocak; Sahin Idil – Journal of Education in Science, Environment and Health, 2025
This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…
Descriptors: Climate, Artificial Intelligence, Accuracy, Environmental Education
Peer reviewed Peer reviewed
Direct linkDirect link
Conrad Borchers; Tianze Shou – Grantee Submission, 2025
Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…
Descriptors: Benchmarking, Computational Linguistics, Artificial Intelligence, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Peter Daly; Emmanuelle Deglaire – Innovations in Education and Teaching International, 2025
AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, College Faculty
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
PDF on ERIC Download full text
Daire Maria Ni Uanachain; Lila Ibrahim Aouad – Thresholds in Education, 2025
This chapter investigates the dual role of Generative AI (GenAI) in providing support and feedback to students and in reshaping formative and summative educational assessments, addressing both the burgeoning opportunities for enhancing teaching methodologies and the associated ethical challenges. There is a focus on the necessity for balanced…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Shahper Richter; Marilyn Giroux; Inna Piven; Herbert Sima; Patrick Dodd – Journal of Marketing Education, 2025
AI advancements in higher education have reshaped marketing education, posing challenges for educators in integrating AI into curricula. This integration is essential for aligning with industry advancements and fostering responsible AI utilization among students. The purpose of this study is to provide insights into how marketing educators can…
Descriptors: Constructivism (Learning), Artificial Intelligence, Computer Software, Technology Integration
Peer reviewed Peer reviewed
Direct linkDirect link
Tobias Wyrwich; Marcus Kubsch; Hendrik Drachsler; Knut Neumann – Physical Review Physics Education Research, 2025
Students struggle to acquire the needed energy understanding to meaningfully participate in the energy discourse about socially relevant topics, such as energy transformation or climate change. Identifying students on differing learning trajectories, as well as differences in knowledge used, is essential to help students achieve the needed energy…
Descriptors: Learning Processes, Physics, Energy, Science Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ecem Kopuz; Galip Kartal – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
The developments in artificial intelligence (AI) have significantly transformed second language (L2) learning and assessment, and the role of AI technologies in L2 assessment have been investigated in recent research. This study presents a bibliosystematic analysis of AI-assisted L2 assessment. Using both systematic analysis and bibliometric…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Feedback (Response)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Joy Robbins; Milena Marinkova – Practitioner Research in Higher Education, 2023
While studies have extolled the value of using online rubrics, the benefits have usually been presented in terms of enhancing marking or delivery of teacher feedback. These benefits are welcome, but they nonetheless couch digital as simply an improved way for "old paradigm" transmission approaches to feedback that do little to help…
Descriptors: Scoring Rubrics, Barriers, Feedback (Response), Information Literacy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Andrew Williams – International Journal of Research in Education and Science, 2025
The possibilities for integrating generative artificial intelligence (AI) and large language models (LLMs) into higher education may revolutionise approaches to pedagogical practices and curriculum design, while LLMs could be transformative in how students approach their learning. This conversation with ChatGPT, and associated critical evaluation,…
Descriptors: Science Education, Higher Education, Integrity, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Yi-Fan Wang; Mei-Hua Hsu; Max Yue-Feng Wang; Yu-Ting Chang – Educational Technology Research and Development, 2025
Mastering correct pronunciation is crucial for effective Spanish language learning and communication. However, many existing language learning resources lack adequate coverage of pronunciation guidance and feedback mechanisms. This study aims to address this gap by developing SpanishBot, an innovative chatbot designed to facilitate the learning of…
Descriptors: Phonetics, Accuracy, Spanish, Second Language Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Adriaan Lochner – Perspectives in Education, 2025
Higher education institutions have various and mostly well-established methods for students to consult with their lecturers. Lecturers have traditionally expected students to make use of face-to-face interaction through after-class consultations and asking questions in class. It is, however, imperative that higher education reflects on whether…
Descriptors: Age Groups, Teacher Student Relationship, Higher Education, Technology Integration
Javier Muñoz-Basols, Editor; Mara Fuertes Gutiérrez, Editor; Luis Cerezo, Editor – Multilingual Matters, 2025
This volume offers a rich overview of current research and teaching strategies for the integration of technology into language teaching and learning. It introduces the Planning, Personalization and Implementation (PPI) methodological framework to support educators in engaging with the theoretical foundations and innovative practices that should…
Descriptors: Social Media, Artificial Intelligence, Second Language Instruction, Second Language Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
K. Kavitha; V. P. Joshith – Journal of Pedagogical Research, 2024
Artificial intelligence (AI) technologies continue to revolutionize various sectors, including their incorporation into education, particularly in K-12 science education, which has become evidently significant. This paper presents a bibliometric analysis and systematic review that examines the incorporation of AI technologies in K-12 science…
Descriptors: Artificial Intelligence, Science Education, Elementary School Science, Secondary School Science
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6