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Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2025
Background: Large language models (LLMs) are increasingly deployed in educational contexts for content generation (Diwan et al., 2023), assessment (Ouyang et al., 2023), and tutoring support (Lin et al., 2023). Reasoning models represent an important development in LLM development (DeepSeek-AI et al., 2025; OpenAI et al., 2024), distinctively…
Descriptors: Artificial Intelligence, Technology Uses in Education, Racism, Natural Language Processing
Yousri Attia Mohamed Abouelenein; Ayat Fawzy Ahmed Ghazala; Eman Mahdy Mohamed Mahdy; Mohamed Hassan Ragab Khalaf – Education and Information Technologies, 2025
The rapid proliferation of artificial intelligence (AI), particularly within education, presents both opportunities and challenges. While AI offers innovative solutions to pedagogical challenges, unstructured utilization of AI tools like ChatGPT can foster passive learning, with students relying on automated solutions rather than engaging in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Skill Development, Programming
Laura Schmidt; Niklas Obergassel; Julian Roelle – Applied Cognitive Psychology, 2025
Recent meta-analyses indicate that learning with ChatGPT improves academic performance but reveals substantial heterogeneity in effect sizes. The present study sheds light on one theoretically plausible moderator of the benefits of learning with ChatGPT: the goal structure of the learning task. For this purpose, in an experiment, university…
Descriptors: Artificial Intelligence, Academic Achievement, Natural Language Processing, College Students
Elysia Phillips; Margaret Sims; Nicola Schutte; Marg Rogers – Issues in Educational Research, 2025
Early childhood educators' work is emotionally challenging, often depleting their reserves of emotional intelligence (EI), which can lead to burnout and feeling overwhelmed. Despite this, there is little research linking the ongoing EI required to support young children and families, and the impact this has on educators' workplace flourishing. To…
Descriptors: Autobiographies, Ethnography, Early Childhood Teachers, Teacher Burnout
Sreevatsa Bellary; Sobhan Sarkar; Arindra Nath Mishra – International Journal of Educational Management, 2025
Purpose: Generative artificial intelligence (GenAI) has received significant traction in recent years for its ability to generate content based on human inputs. The aim of this study is to examine the existing literature on GenAI in management education by conducting a combination of bibliometric analysis and systematic literature review and…
Descriptors: Artificial Intelligence, Business Education, Computer Uses in Education, Accounting
Jeffrey E. Anderson; Carlin A. Nguyen; Gerardo Moreira – International Journal of Information and Learning Technology, 2025
Purpose: This paper explores the integration of generative artificial intelligence (GenAI) into the Community of Inquiry (CoI) framework, focusing on how GenAI can dynamically personalize online learning environments. The study aims to examine how GenAI can enhance social, cognitive and teaching presence, thus meeting the diverse needs of…
Descriptors: Communities of Practice, Inquiry, Artificial Intelligence, Individualized Instruction
Rahul R. Divekar; Lisette Gonzalez; Sophia Guerra; Natasha Boos; Ritika Divekar – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study investigates university students' technology use and understanding in the post-generative AI (GenAI) era. A mixed-methods approach, employing a survey of 68 students at a business-focused university in the United States, explored current learning tool usage patterns, specific GenAI applications, self-perceived AI expertise, and…
Descriptors: Artificial Intelligence, College Students, Student Behavior, Business Education
Jennifer Kidd; Keri Parker; Samantha Myers – Journal of Interactive Learning Research, 2025
This study examines pre-service teachers' (PSTs') responses to using AI to review their writing. As part of a class activity, PSTs prompted an AI-chatbot for feedback and revisions on a short essay based on a provided assignment rubric. They then exchanged papers with a classmate and completed a peer review. Afterward, they reflected on the pros…
Descriptors: Artificial Intelligence, Preservice Teachers, Student Attitudes, Writing Evaluation
Turi, Jamshid Ali; Rani, Anita Abdul; Abidin, Imaduddin; Mahmud, Fatimah; Al Adresi, Alaeldeen – International Journal of Evaluation and Research in Education, 2020
Continuous learning works like a blood for organization and individuals to proceed and succeed. Underdeveloped countries need to address their academic issues. Academic prosperity is linked to economy and technology disruptions so it's an important element to bring underdeveloped countries up to the mark to thrive and survive in this technical…
Descriptors: Foreign Countries, Emotional Intelligence, Religious Factors, Academic Achievement
van der Linden, Dimitri; Dutton, Edward; Madison, Guy – Journal of Creative Behavior, 2020
There are national differences in scientific activity that are not well accounted for by economic and intellectual factors alone. We examine the novel hypothesis that androgen levels may also play a role. Androgens are often referred to as male hormones, but are present in both men and women, and have been linked to performance in other domains,…
Descriptors: Genetics, Performance, Scientific Research, Productivity
Jacqueline M. Caemmerer; Stephanie Ruth Young; Danika Maddocks; Natalie R. Charamut; Eunice Blemahdoo – Journal of Psychoeducational Assessment, 2024
In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III (N = 181) to examine which WISC-V Index scores predicted children's specific and broad academic skills and if…
Descriptors: Predictor Variables, Academic Achievement, Intelligence Tests, Children
Richard Hall – International Journal of Educational Technology in Higher Education, 2024
This article situates the potential for intellectual work to be renewed through an enriched engagement with the relationship between indigenous protocols and artificial intelligence (AI). It situates this through a dialectical storytelling of the contradictions that emerge from the relationships between humans and capitalist technologies, played…
Descriptors: Artificial Intelligence, Social Systems, Protocol Analysis, Technological Advancement
Michelle D. Lazarus; Mandy Truong; Peter Douglas; Neil Selwyn – Anatomical Sciences Education, 2024
Anatomy educators are often at the forefront of adopting innovative and advanced technologies for teaching, such as artificial intelligence (AI). While AI offers potential new opportunities for anatomical education, hard lessons learned from the deployment of AI tools in other domains (e.g., criminal justice, healthcare, and finance) suggest that…
Descriptors: Artificial Intelligence, Anatomy, Barriers, Human Body
Brandon Mattalo – Journal of Legal Studies Education, 2024
While it is important to research the negative impact of generative artificial intelligence on academic integrity, academics should focus most of their efforts on the opportunities these technologies present for improving pedagogical practices. In this note, I attempt to flip the narrative from one of fear to one of opportunity. I suggest that…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing

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