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Julia Pargmann; Florian Berding; Karin Rebmann; Elisabeth Riebenbauer – Empirical Research in Vocational Education and Training, 2025
This study explores the use of analytical artificial intelligence (AI) to enhance lesson planning in teacher education, particularly in vocational business education. Providing detailed, individualized feedback for lesson planning is challenging for university instructors. An analytical AI platform that offers expert-level feedback on lesson plans…
Descriptors: Artificial Intelligence, Lesson Plans, Planning, Preservice Teacher Education
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Jozsef Katona; Klara Ida Katonane Gyonyoru – TechTrends: Linking Research and Practice to Improve Learning, 2025
In the context of the digital economy, programming proficiency is an essential competency that promotes upward socio-economic mobility and expands career opportunities. However, students from socially disadvantaged backgrounds often face significant barriers to acquiring these skills, such as limited access to technology and educational resources.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Programming, Computer Science Education
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Abderrahim Agnaou; Hayat El Asri – Journal of Educational Research and Practice, 2025
The rapid development of large language models (LLMs) has sparked growing interest in their potential to transform education. This study explores how LLMs influence collaborative learning, focusing on student creativity, critical thinking, problem-solving, and collective intelligence. Specifically, it investigates whether artificial intelligence…
Descriptors: Artificial Intelligence, Cooperative Learning, Creativity, Critical Thinking
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Hong Thi Nguyen; Lan Thi Pham; Viet Anh Nguyen; Kien Trung Do – International Journal of Information and Learning Technology, 2025
Purpose: Predicting learner outcomes in blended learning (BL) is a new problem with many challenges, as learner data must be collected in both face-to-face and online environments. The purpose of this article is to identify the best method for building a model to predict student performance in BL and to determine the appropriate time for early…
Descriptors: Blended Learning, Student Behavior, In Person Learning, Artificial Intelligence
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Yavuz Dinc; Sarah Malone; Verena Ruf; Steffen Steinert; Stefan Küchemann; Jochen Kuhn – Physical Review Physics Education Research, 2025
Prior research has demonstrated that students' performance on physics test items can be accurately predicted using machine learning algorithms based on their gaze behavior. These gaze data are typically recorded during item completion and capture students' visual attention to both the verbal item stem and accompanying visual representations, such…
Descriptors: Artificial Intelligence, Computer Uses in Education, Eye Movements, Test Items
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Sarah Hewitt Powers – Journal of Educational Leadership and Policy Studies, 2025
The Powers Practice is a tool developed to gain insight into the competencies of effective higher education leaders and as a tool to increase self-reflection practices. The Internal Family Systems model serves as the foundational theory and a "VUCA lens" describes the high stress conditions of higher education. The tool proved to be…
Descriptors: Higher Education, Instructional Leadership, Stress Variables, Competence
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Christopher Basgier; Lydia Wilkes – College Composition and Communication, 2025
From an unsettled, ambivalent middle between discourses of generative AI integration and refusal, we offer a critical-ethical stance for AI-engaged writing assignments. We apply a critical thinking framework to these assignments, assert critical AI literacy as a kind of critical thinking, and discuss how critical thinking and critical AI literacy…
Descriptors: Artificial Intelligence, Writing Assignments, Critical Thinking, Digital Literacy
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Joseph Zajda – Globalisation, Comparative Education and Policy Research, 2025
This book focuses on global research findings dealing with various forms of visible discrimination in the classroom. The synthesis of research evidence suggests that intelligence discrimination, race and ethnicity discrimination, social class discrimination, labeling students according to their academic achievement, and the self-fulfilling…
Descriptors: Educational Discrimination, Self Concept, Self Esteem, Academic Achievement
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John Meegan; Keith Young – Technology, Knowledge and Learning, 2025
Generative Artificial Intelligence's (GenAI) integration in education has seen widespread changes in how students engage with, and how educators go about their practice and administrative duties, using this new technology. Therefore, the ways GenAI might successfully integrate into programmes of study, in this case, both primary and post-primary…
Descriptors: Artificial Intelligence, Preservice Teachers, Self Efficacy, Pilot Projects
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Gita Revalde; Madi Zholdakhmet; Anda Abola; Aliya Murzagaliyeva – Technology, Knowledge and Learning, 2025
Since its launch in November 2022, chatbot ChatGPT has gained significant popularity worldwide. It performs the task of a search engine, analyzes the information, and generates the required output. ChatGPT is already recognized as a useful tool for educational purposes, but it also comes with some limitations and potential risks. In this case…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Natural Language Processing
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Elmira Mirzaliyeva; Gulnur Ussenova; Gulnar Mamayeva; Assem Yelubay – Journal of Social Studies Education Research, 2025
Main objective of the study was to investigate how artificial intelligence (AI) and STEM pedagogy influence students' cognitive performance, academic success, and attitudes. A quasi-experimental design with a pretest-posttest control group was used in the study. The study was conducted among first- to fourth-year students enrolled in the…
Descriptors: Artificial Intelligence, STEM Education, Academic Achievement, Student Attitudes
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Gamble, Brandon; Hiramoto, James – Contemporary School Psychology, 2021
As editors for this special journal, Graves and Woods have compiled a discussion of the accuracy of the labels for Black children. It is exciting that they have brought together a team of scholars to tackle the very specific question posed by Hilliard (1991) and Guthrie (1976/2002) about the validity of IQ testing in regards to accurately and…
Descriptors: School Psychology, African American Students, Intelligence Quotient, Intelligence Tests
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Sternberg, Robert J. – Education Sciences, 2021
This article introduces the concept of adaptive intelligence--the intelligence one needs to adapt to current problems and anticipate future problems of real-world environments--and discusses its implications for education. Adaptive intelligence involves not only promoting one's own ability to survive and thrive, but also that of others in one's…
Descriptors: Intelligence, Adjustment (to Environment), Creative Thinking, Logical Thinking
Anna Marie Hoyou – ProQuest LLC, 2021
This quasi-experimental study examined the impact of reading aloud using theme-based material on the change from baseline to study endpoint in Crystallized Intelligence (Gc) of first grade students (Kaufman & Kaufman, 2004). A total of 39 students (19 male, 20 female) from two districts in a Midwestern state were recruited to participate. To…
Descriptors: Reading Aloud to Others, Intelligence, Retention (Psychology), Grade 1
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Kornilaev, Leonid – Journal of Philosophy of Education, 2021
'The human being', Kant contends, 'is the only creature that must be educated'. Thus, for Kant, the concept of education plays a central role in the answer to one of the fundamental questions of philosophy: What is the human being? Education is the means by which the rational powers definitive of our humanity are actualised and cultivated. It is…
Descriptors: Educational Philosophy, Artificial Intelligence, Role of Education, Educational Practices
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