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Moses Kumi Asamoah; Patricia Ananga; Francis Annor – Journal of Adult and Continuing Education, 2024
This study aimed to investigate students' digital (ICT) skills, perceived relevance (usefulness), and actual use of digital (ICTs) skills for learning. Data were obtained via Google Forms from 325 students who were conveniently sampled from two public universities in Ghana. The results from the multivariate analysis of variance showed that age and…
Descriptors: Foreign Countries, College Students, Public Colleges, Information Technology
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Atef Odeh AbuSa’aleek; Aied Alenizi – Teaching English with Technology, 2024
To better understand the use of ChatGPT as a tool for learning in higher education, this investigation reports student responses to an e-questionnaire investigating their perspectives on it. In particular, it delves into whether there are any significant differences between opinions based on gender and the level of study of 51 postgraduate…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Synchronous Communication
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Maria Camilla Ann R. Llamas; Cenie M. Vilela-Malabanan; Dante D. Dinawanao – Journal of Education and Learning (EduLearn), 2025
This study explores the user experience (UX) of academics and students in using a Moodle-based learning management system (LMS) and provides opportunities for improvement. The study employs a qualitative approach to gain a deep understanding of user perspectives, combining focus group discussions (FGDs) with the user experience questionnaire…
Descriptors: College Faculty, Learning Management Systems, Teacher Attitudes, Educational Improvement
Pilar Cuevas-Ruiz; Luz Rello; Ismael Sanz; Almudena Sevilla – Annenberg Institute for School Reform at Brown University, 2025
Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time…
Descriptors: Artificial Intelligence, Individualized Instruction, Reading Skills, Equal Education
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Nesrin Hark Söylemez – SAGE Open, 2025
The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…
Descriptors: Preservice Teachers, Teacher Education Programs, Cultural Awareness, Gender Differences
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Zi Xiang Poh; Ean Teng Khor – International Journal on E-Learning, 2024
Machine learning and data mining techniques have been widely used in educational settings to identify the important features that tend to influence students' learning performance and predict their future performance. However, there is little to no research done in the context of Singapore's education. Hence, this study aims to fill the gap by…
Descriptors: Learning Analytics, Goodness of Fit, Academic Achievement, Online Courses
Christopher H. Clark, Editor; Cathryn van Kessel, Editor – Teachers College Press, 2025
Whether skeptical or enthusiastic about AI, every social studies educator will find something useful for their practice in this book. The introduction of widely available generative AI tools has caused a frenzy of both positive and negative reactions. Between utopian visions and apocalyptic predictions of AI's impact on education, there is a need…
Descriptors: Social Studies, Artificial Intelligence, Technology Uses in Education, Computer Software
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Hamidah; Jaka Wijaya Kusuma; Sigit Auliana – Mathematics Teaching Research Journal, 2024
The low knowledge and love of students for culture, plus based on preliminary analysis, it is known that geometry skills are relatively low. The a need for harmony between student and teacher learning styles to maximize student engagement and focus in the classroom. So this study aims to create a culture-based Geometry learning design that…
Descriptors: Geometry, Mathematics Instruction, Cognitive Style, Mathematics Skills
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Yue Zhang – Journal of International Students, 2025
The emotional well-being of international undergraduates plays a critical role in their ability to adapt to the demands of online learning. Despite the relaxation of pandemic-related restrictions in China, many international students continue to choose online learning as their preferred mode of study. This study aimed to measure international…
Descriptors: Foreign Countries, Undergraduate Students, Mental Health, Well Being
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Samah Abdulhadi Abduljawad – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This research explores the impact of ChatGPT, an AI tool, on ESL students' writing proficiency at a Saudi Arabian university. Using a mixed-methods approach, data from 130 students showed a significant positive effect on their writing. A focus group interview with six students highlighted opportunities such as personalized feedback, language skill…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
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Jinhee Kim; Yoonhee Ham; Sang-Soog Lee – Australasian Journal of Educational Technology, 2024
Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been…
Descriptors: Artificial Intelligence, Computer Graphics, Freehand Drawing, Assignments
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João Arantes do Amaral – Journal of Open, Flexible and Distance Learning, 2024
This article presents findings from a massive, free-of-charge online extension course titled Systems Thinking, which was conducted in Brazil in May and June 2024. The course engaged 345 participants. The research aimed to analyse how students' backgrounds, learning methods, and use of AI tools influenced learning outcomes. A mixed-method approach…
Descriptors: Cognitive Style, MOOCs, Outcomes of Education, Artificial Intelligence
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Ishartono, Naufal; Nurcahyo, Adi; Waluyo, Mohamad; Razak, Rafiza Abdul; Sufahani, Suliadi Firdaus; Hanifah, Millenia – Journal of Research and Advances in Mathematics Education, 2022
Previous studies have tried to improve students' independence in online mathematics learning. However, the Flipped Learning model integrated with GeoGebra is scarce as none of the existing syntaxes accommodate the model. As the existing syntax is based on three phases: pre-class activity, in-class activity, and post-class activity. This research…
Descriptors: Online Courses, Mathematics Instruction, Flipped Classroom, Learning Activities
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John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
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Marie-Monique Schaper; Mariana Aki Tamashiro; Rachel Charlotte Smith; Ole Sejer Iversen – ACM Transactions on Computing Education, 2025
As emerging technologies are rapidly advancing as part of our societies and everyday life, it is crucial to include and empower all students in learning about computing and advanced technologies. These include technical capabilities of algorithms, such as the use of AI, that enable novel interactions between humans and their environment and give…
Descriptors: Inclusion, Artificial Intelligence, Student Empowerment, Algorithms
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