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Karen L. Terrell; Dennis J. DeBay; Valerie J. Spencer – Mathematics Teacher: Learning and Teaching PK-12, 2023
To fulfill the Standards for Mathematical Practice (National Governors Association Center for Best Practices & Council of Chief State School Officers [NGA Center & CCSSO], 2010), it is important for teachers to empower students to critique, revise, and expand their ideas as they solve problems. However, students often face challenges such…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Story Telling
Kamran Janfeshan; Asmaa Nader Sharhan; Mohamad Mahdi Janfeshan – International Review of Research in Open and Distributed Learning, 2023
The current study was planned to find out if the use of blended learning as a combination of face-to-face instruction and mobile-assisted language learning using WhatsApp contributed to the vocabulary learning and autonomy of Iranian EFL learners compared to the traditional method. To assess their English skills, PET was given to 80 homogenous…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
Aparna Hebbani; Michael Mersiades; Ameya Deshmukh – Australian Review of Applied Linguistics, 2023
This exploratory Australian study tested a novel mobile-based language learning service intervention (via WhatsApp) called 'Chatloop' with 31 newly arrived migrants. This intervention was offered in tandem with the traditional Adult Migrant English Program (AMEP) classroom curriculum. A mixed methods approach was employed to trial the intervention…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
Nouf Aljasir – International Journal of Computer-Assisted Language Learning and Teaching, 2023
This mixed-method research was conducted to examine the perceptions of self-learners of English as a foreign language (EFL) toward mobile learning (m-learning) apps. It integrated several constructs from the technology acceptance model (TAM) and constructivist learning theory (CLT) to provide a detailed picture of the learners' perceptions. The…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Computer Assisted Instruction
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
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
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
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
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
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
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
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
Orkun Kocak; Sahin Idil – Journal of Education in Science, Environment and Health, 2025
This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…
Descriptors: Climate, Artificial Intelligence, Accuracy, Environmental Education
Juan Luis Prieto-González; Rafael Enrique Gutiérrez-Araujo; Elizabeth-H. Arredondo; Alex Montecino – Journal of Mathematics Teacher Education, 2025
This paper seeks to answer the question: How does the handling of the contradictions that emerge in activities of initial mathematics teacher education contribute to the learning of geometric knowledge when pre-service teachers and the teacher educator solve geometric construction problems with GeoGebra? A dialectical-materialist approach is used…
Descriptors: Mathematics Education, Mathematics Teachers, Preservice Teacher Education, Geometric Concepts

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