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Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh – Grantee Submission, 2025
It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…
Descriptors: Correlation, Measurement Techniques, Guidelines, Semantics
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Mark Tupper; Ian W. Hendy; J. Reuben Shipway – Innovations in Education and Teaching International, 2025
We tested whether ChatGPT can play a role in designing field courses in higher education. In collaboration with ChatGPT, we developed two field courses; the first aimed at creating a completely new field trip, while the second was tailored to fit an existing university module, and then compared to the human module design. From our case studies,…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Curriculum Design
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Ida Martinez Lunde – International Journal of Leadership in Education, 2025
This article provides insight into digitized school leadership practices in Irish schools, and the making of the school leader in mediations with the sociomaterial relations emerging from these practices. Drawing on actor-network theory, the study illustrates how school leaders' subjectivities emerge through relations and attachments to VSware, a…
Descriptors: Foreign Countries, Computer Software, Computer Uses in Education, Leadership Responsibility
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Sarah Prestridge; Kym Fry; Eun-Ji Amy Kim – Technology, Pedagogy and Education, 2025
The broad approach to using Generative AI in K-12 schooling focuses on identifying risks and productivity gains rather than the more complex issues of transformational change. As a response, this study examined how school leaders considered Gen AI transformation within their disciplines. Ten subject leaders were interviewed about their pedagogical…
Descriptors: Teacher Attitudes, Secondary School Teachers, Artificial Intelligence, Computer Software
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Mehmet Demir; Yilmaz Zengin – International Journal of Mathematical Education in Science and Technology, 2025
The aim of this study is to show how the GeoGebra software-supported collaborative learning environment contributes to a group of students using multiple representations and reaching generalisations while solving problems collectively. Blending individual and collaborative learning activities were carried out with a learning method called ACODESA…
Descriptors: Computer Software, Geometry, Cooperative Learning, Grade 8
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Tanvir Prince – International Journal of Mathematical Education in Science and Technology, 2025
This study investigates the impact of GeoGebra, a dynamic, accessible, and easy-to-use mathematics software, on student confidence and perceptions of its helpfulness in the context of Calculus III courses. A quasi-experimental design was employed to compare four sections of Calculus III, with two sections integrating GeoGebra for in-class…
Descriptors: Computer Software, Technology Uses in Education, Mathematics Instruction, Calculus
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Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
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Feyzi Kaysi – International Journal of Technology in Education and Science, 2025
Due to the frequent utilization of technological applications in contemporary times, the quality of educational processes is rapidly evolving. This study examines students' experiences through simulation software applications. A mixed-method design is employed due to the combined use of qualitative and quantitative data collection methods.…
Descriptors: Computer Simulation, Computer Software, Learning Processes, Technology Uses in Education
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Abdulmohsin A. Alshehri – Australian Journal of Applied Linguistics, 2025
This study aimed to investigate the extent to which computer-assisted pronunciation (CAP) is influential in helping Hijazi students to develop their pronunciation of English vowels within a Saudi English as a foreign language (EFL) context. It also examined whether Saudi Hijazi learners taught English vowel sounds by CAP outperform those taught…
Descriptors: Pronunciation, Computer Uses in Education, English (Second Language), Second Language Instruction
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Xinyu Li; Yizhou Fan; Tongguang Li; Mladen Rakovic; Shaveen Singh; Joep van der Graaf; Lyn Lim; Johanna Moore; Inge Molenaar; Maria Bannert; Dragan Gaševic – Journal of Learning Analytics, 2025
The focus of education is increasingly on learners' ability to regulate their own learning within technology-enhanced learning environments. Prior research has shown that self-regulated learning (SRL) leads to better learning performance. However, many learners struggle to productively self-regulate their learning, as they typically need to…
Descriptors: Learning Analytics, Metacognition, Independent Study, Skill Development
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Özlem Çeziktürk – International Journal of Mathematical Education in Science and Technology, 2025
I explore some facts about the area, position, etc. of the Steiner ellipse using GeoGebra and numerical analysis. Students can use these for mathematical inquiry.
Descriptors: Computer Software, Mathematics Instruction, Elective Courses, Teacher Education Programs
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Hugo Edgar Mesquita; Adriana Baptista; Olívia Silva – Open Education Studies, 2025
This article explores the integration of "synthography" in the context of a class in the Degree in Photography, as a strategy to explore artistic and professional practices in the digital transformation era, problematizing the pedagogical implications of using artificial intelligence (AI) in creative disciplines. The study revolves…
Descriptors: Artificial Intelligence, Computer Software, Photography, Teaching Methods
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Liuying Gong; Jingyuan Chen; Fei Wu – IEEE Transactions on Learning Technologies, 2025
The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Comparative Analysis
Rick Ginsberg; Yong Zhao – Phi Delta Kappan, 2025
American education has focused on reading and literacy skills for decades, but the ongoing reading wars have had little effect on student performance. Authors Rick Ginsberg and Yong Zhao suggest that the growth of artificial intelligence makes this hyperfocus on reading especially misguided because it's becoming increasingly easy to access…
Descriptors: Literacy, Artificial Intelligence, Computer Software, Academic Achievement
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Fanchamps, Nardie; Slangen, Lou; Specht, Marcus; Hennissen, Paul – IEEE Transactions on Learning Technologies, 2022
This article illustrates that the task design and problem selection are of characteristic influence to evoke sense-reason-act programming (SRA) among primary school pupils when programming robots. Research shows that the task design influences the development of computational thinking (CT). The literature provides evidence that the context, the…
Descriptors: Elementary School Students, Robotics, Programming, Thinking Skills
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