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Lee, Yen-Fen; Hwang, Gwo-Jen; Chen, Pei-Ying – Educational Technology Research and Development, 2022
Review strategies after learning new knowledge are essential for students to consolidate the key points, understand the subject content, analyze aspects of the learning topics, and summarize the knowledge content of learning while mastering new knowledge. However, educators have found that students generally have difficulties seeking help when…
Descriptors: College Students, Control Groups, Foreign Countries, Artificial Intelligence
Arseniev-Koehler, Alina; Foster, Jacob G. – Sociological Methods & Research, 2022
Public culture is a powerful source of cognitive socialization; for example, media language is full of meanings about body weight. Yet it remains unclear how individuals process meanings in public culture. We suggest that schema learning is a core mechanism by which public culture becomes personal culture. We propose that a burgeoning approach in…
Descriptors: Artificial Intelligence, Cultural Influences, Body Weight, Gender Differences
Szasz, Teodora; Harrison, Emileigh; Liu, Ping-Jung; Lin, Ping-Chang; Runesha, Hakizumwami Birali; Adukia, Anjali – Grantee Submission, 2022
Images in children's books convey messages about society and the roles that people play in it. Understanding these messages requires systematic measurement of who is represented. Computer vision face detection tools can provide such measurements; however, state-of-the-art face detection models were trained with photographs, and 80\% of images in…
Descriptors: Childrens Literature, Books, Artificial Intelligence, Race
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
Karla Dhungana Sainju; Akosua Kuffour; Lisa Young; Niti Mishra – International Journal of Bullying Prevention, 2022
Bullying literature notes that aside from the dyadic relationship of target and perpetrator, there are other participant roles in the bullying process including those that reinforce the perpetrator and those that stand up for the target. Most examinations of bullying roles have relied on self-reported data, which suffer from key limitations such…
Descriptors: Social Media, Computer Mediated Communication, Bullying, Victims
Stephanie Grote-Garcia; Evan Ortlieb; Sergio Leiva Cardona – Literacy Research and Instruction, 2025
The annual "What's Hot in Literacy" survey identifies current priorities in literacy education, highlighting the evolving landscape of the field. A panel of twenty-five literacy leaders participate in interviews to identify the most emphasized, least emphasized, and most deserving topics of increased attention. The 2024 findings…
Descriptors: Literacy, Literacy Education, Educational Trends, Surveys
Louis Volante; Christopher DeLuca; Nicole Barnes; Menucha Birenbaum; Megan Kimber; Martha Koch; Anne Looney; Jenny Poskitt; Kari Smith; Claire Wyatt-Smith – Policy Futures in Education, 2025
This paper discusses the evolution of assessment for learning (AfL) across the globe with particular attention given to Western educational jurisdictions. Scholars from Australia, Canada, Ireland, Israel, New Zealand, Norway, and the United States discuss prominent assessment reforms within their respective countries over the last decade.…
Descriptors: Educational Policy, Educational Practices, Pandemics, COVID-19
Vincentas Lamanauskas, Editor – International Baltic Symposium on Science and Technology Education, 2025
These proceedings contain papers of the 6th International Baltic Symposium on Science and Technology Education (BalticSTE2025) held in Šiauliai, Lithuania, June 16-19, 2025. This collection of BalticSTE25 articles presents 13 scientific articles and an introductory article on the topic of natural science and technology education. The articles…
Descriptors: Science Education, Technology Education, STEM Education, Curriculum Development
Kallia Katsampoxaki-Hodgetts; Konstantinos Kotsidis; Stamatios Papadakis; Panagiotis Anastasiades – International Baltic Symposium on Science and Technology Education, 2025
The integration of Artificial Intelligence (AI) into early childhood education raises important pedagogical questions about how to design inclusive, multimodal learning experiences that nurture children's agency and critical literacies. This paper analyzes sixty AI-enhanced teaching scenarios, developed during a national training program, through…
Descriptors: Multiple Literacies, Early Childhood Education, Artificial Intelligence, Critical Literacy
Shuqiong Luo; Di Zou – European Journal of Education, 2025
Recent AI-based language learning research highlights learners' crucial role, yet university learner readiness in ChatGPT-based English learning remains unexplored. Accordingly, this current research attempted to develop and validate a tool to evaluate university learner readiness for ChatGPT-assisted English learning (LRCEL) to address the…
Descriptors: College Students, Readiness, Artificial Intelligence, Natural Language Processing
Yaniv Biton; Ruti Segal – International Journal of Education in Mathematics, Science and Technology, 2025
The use of generative AI (Chat GPT) for the process of posing mathematical problems was introduced to 15 pre-service teachers (henceforth referred to as "teachers") in a re-training program aimed at teaching advanced secondary school mathematics. After solving mathematical problems, they were given an assignment to pose and refine…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Preservice Teachers
Zafer Unal – SRATE Journal, 2025
This study evaluates TeacherServer, a generative AI platform for educators, focusing on its effectiveness and usability. Using the Teachers' Acceptance of AI in Education (TAAI) framework, it assesses teachers' perceptions before and after workshops with 148 K-12 teachers from Florida. Results show a notable improvement in teachers' acceptance of…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Usability
Paola Julie Aguilar-Cruz; Sdenka Zobeida Salas-Pilco – Technology, Pedagogy and Education, 2025
The introduction of artificial intelligence (AI) in education is seen as a promising tool to enhance learning outcomes and provide students with engaging learning environments in developing countries such as Colombia. This case study aimed to investigate teachers' perceptions of AI in K-12 education in public schools located in the Amazonian…
Descriptors: Teacher Attitudes, Ethics, Artificial Intelligence, Computer Software
Danah Henriksen; Edwin Creely; Natalie Gruber; Sean Leahy – Journal of Teacher Education, 2025
This article provides a critical thematic literature review that explores the intersection of generative artificial intelligence (GenAI) and social-emotional learning (SEL), analyzing its implications for teacher education. GenAI offers promising applications for enhancing SEL competencies such as self-awareness, empathy, and social skills through…
Descriptors: Social Emotional Learning, Artificial Intelligence, Computer Software, Risk
Alper Kaskaya; Seyma Nur Ates – Journal of Pedagogical Research, 2025
This study aimed to investigate the effects of artificial intelligence (AI)-supported visualization applications on students' writing disposition during the creative writing process. An explanatory sequential design, a type of mixed methods approach, was adopted. In the quantitative phase, a quasiexperimental design with a pretest-posttest control…
Descriptors: Creative Writing, Writing Processes, Elementary School Students, Comparative Analysis

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