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Christopher Mah; Mei Tan; Lena Phalen; Alexa Sparks; Dorottya Demszky – Annenberg Institute for School Reform at Brown University, 2025
Effective writing feedback is a powerful tool for enhancing student learning, encouraging revision, and increasing motivation and agency. Yet, teachers face many challenges that prevent them from consistently providing effective writing feedback. Recent advances in generative artificial intelligence (AI) have led educators and researchers to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Writing Evaluation
David Oppenheim; Michal Mottes-Peleg; Smadar Dolev; Nurit Yirmiya – Autism: The International Journal of Research and Practice, 2025
Observations of parent-child play with toys are often used to assess interactions between parents and non-autistic as well as autistic children, but some research indicates that play without toys may elicit more positive interactions than play with toys. The first goal of the study was to examine whether this is true in the case of autistic…
Descriptors: Play, Interaction, Autism Spectrum Disorders, Preschool Children
Sedat Yigit; Soner Berse; Ezgi Dirgar; Seçil Gülhan Güner – Innovations in Education and Teaching International, 2025
Artificial Intelligence (AI) has significantly impacted the field of education, particularly in health sciences, where tools such as ChatGPT are increasingly utilised. ChatGPT, powered by AI, presents both opportunities and challenges that warrant investigation. This qualitative study explored the perceptions, experiences, and expectations of…
Descriptors: Undergraduate Students, Student Attitudes, Allied Health Occupations Education, Artificial Intelligence
Ling Wang; Guochu Liang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The rapid development of online education has underscored the necessity of data-driven teaching functions for enhancing teaching quality and efficiency. This paper investigates the role of data-driven approaches in online education, with a particular focus on the practical application of data for evaluating learning outcomes. It highlights the…
Descriptors: Data Use, Educational Quality, Online Courses, Distance Education
Wei Shi; Dong Wang – Education and Information Technologies, 2025
Employability has been a key area of interest for researchers, especially as China faces increasing pressure in the labor market due to shifting supply and demand dynamics. Despite a steady increase in the number of graduates over the past five years, employment rates have declined, and the rates of slow employment, a slower state of employment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Employment Interviews, Employment Potential
George Hanshaw; Ethan Wicker; Kristen Denlinger – Open Praxis, 2025
This study investigates the effects of utilizing the AI course assistant, Spark, on student academic performance at Los Angeles Pacific University (LAPU). Focusing on grade outcomes, the research reveals that students who engaged with Spark three or more times achieved significantly higher grades compared to those who did not use the AI assistant.…
Descriptors: Artificial Intelligence, Academic Achievement, Grades (Scholastic), College Students
Si-Jia Jia; Jia-Qi Jing; Chang-Jiang Yang – Journal of Autism and Developmental Disorders, 2025
Purpose: With the increasing prevalence of autism spectrum disorders (ASD), the importance of early screening and diagnosis has been subject to considerable discussion. Given the subtle differences between ASD children and typically developing children during the early stages of development, it is imperative to investigate the utilization of…
Descriptors: Autism Spectrum Disorders, Screening Tests, Clinical Diagnosis, Artificial Intelligence
I. Picton; C. Clark – National Literacy Trust, 2025
This report aims to update and broaden the understanding of teachers' experiences of teaching reading and writing as the capabilities of generative AI expand and improve. As part of ongoing research considering what it means to be literate in the digital age, the National Literacy Trust have been exploring how generative AI tools might influence,…
Descriptors: Foreign Countries, Artificial Intelligence, Teachers, Literacy Education
Irene Picton; Christina Clark; Francesca Bonafede – National Literacy Trust, 2025
In 2025, National Literacy Trust wanted to increase their understanding of how generative AI tools might be beginning to influence what it means to be literate in the digital age. National Literacy Trust first asked children and young people about their awareness and use of generative AI platforms in their Annual Literacy Survey in early 2023,…
Descriptors: Foreign Countries, Artificial Intelligence, Literacy Education, Digital Literacy
Susana H. Hernández; Z. W. Taylor; Guillermo Ortega – Community College Review, 2025
Objective/Research Questions: Extending Garcia's notion of "servingness," our study explored the prevalence and usability of artificially intelligent (AI) chatbots within all 234 HSI community colleges according to the most recent HACU list. The research questions for our study are: (a) Do HSI community colleges embed artificial…
Descriptors: Hispanic American Students, Minority Serving Institutions, Artificial Intelligence, Technology Uses in Education
The Use of Technology in Primary School Science Education from 1974 to 2025: A Bibliometric Analysis
Gökhan Uyanik – European Journal of Education, 2025
This study presents a bibliometric analysis of 1995 peer-reviewed articles on the use of technology in primary science education published in the Web of Science between 1974 and April 2025. It explores publication trends, citation structures, author collaborations, thematic patterns, and international networks. Results show an annual average of…
Descriptors: Science Education, Educational Technology, Technology Uses in Education, Citations (References)
Tünde Barabási – Acta Didactica Napocensia, 2025
Artificial intelligence is infiltrating our lives and is also gaining ground in education. Failing to acknowledge its presence in higher education, in particular, would be ostrichism. There is a growing body of research on AI in higher education discussing its modes of use and regulatory aspects (Rajki, Nagy & Dingó, 2024; Horváth, 2024;…
Descriptors: Artificial Intelligence, Technology Uses in Education, Preservice Teacher Education, Preservice Teachers
Christine E. King; Beth A. Lopour – Biomedical Engineering Education, 2025
Challenge: In engineering classrooms, generative artificial intelligence (AI) tools, such as ChatGPT, can supplement traditional teaching methods and have the potential to improve learning outcomes. However, there are also significant drawbacks, including the possibility of over-reliance on the tools and the hindrance of critical thinking, which…
Descriptors: Critical Thinking, Artificial Intelligence, Technology Uses in Education, Concept Formation
José Ventura-León; Cristopher Lino-Cruz; Shirley Tocto-Muñoz; Andy Rick Sánchez-Villena – Journal of Psychoeducational Assessment, 2025
Academic and occupational success requires social intelligence, the ability to comprehend, and manage interpersonal connections. This research aims to assess and improve the Tromsø Social Intelligence Scale (TSIS) for Peruvian university students, focusing on cultural adaptability, reliability, and validity. Participants included 973 university…
Descriptors: Factor Analysis, Intelligence Tests, Test Items, Test Length
Emilia Eichinger; Verena Oberhofer; Christian Seifert; Simon J. Preis – International Journal on E-Learning, 2025
Artificial intelligence (AI) is becoming ever better and more powerful, which is why it can be found in many areas of everyday life. AIs like ChatGPT have also found their way into universities and more and more students are trusting them. Previous studies found opportunities of ChatGPT in academic education such as personalized and interactive…
Descriptors: Foreign Countries, Higher Education, Undergraduate Students, Artificial Intelligence

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