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Tina Jaber Rafidi; Nabiha El Khatib – Discover Education, 2025
As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…
Descriptors: Cross Cultural Studies, Artificial Intelligence, Technology Integration, Teaching Methods
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Molly Chehak; Maggie Debelius; Jake Holtschlag; Grace Kim; Kenny Le; Sarah Lyons; Hugo Nutting; Sophia Oh – International Journal for Students as Partners, 2025
We present a case study of co-creating a policy for the use of generative artificial intelligence (AI) in a writing course at Georgetown University in Washington, DC. Students and faculty in two sections of a required 1st-year writing course worked to draft and respond to a policy about AI and then reflected on the experience. Student reflections…
Descriptors: Artificial Intelligence, Computer Software, Policy Formation, Writing Instruction
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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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Marwa Hafour – Language Learning & Technology, 2025
Mobile apps are becoming part and parcel of our daily lives. Hence, this study examined the differential effects of app modes on listening comprehension and recognition. From a pool of Egyptian EFL sophomores, 107 students were randomly assigned into 3 groups practicing mobile-assisted listening in 3 modalities: Unimodal (n = 35), Bimodal (n =…
Descriptors: Foreign Countries, Multilingualism, English (Second Language), Second Language Learning
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Sunil Hazari – Marketing Education Review, 2025
Artificial intelligence tools such as ChatGPT have emerged as a disruptive force in higher education. Stakeholders are debating the integration and relevance of AI in education to improve student learning outcomes. Further investigation is needed to determine not only the pedagogical impact but also address issues such as ethics, bias, and…
Descriptors: Marketing, Business Education, Artificial Intelligence, Outcomes of Education
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Sarah L. Rodriguez; Amanda Ross – Computer Science Education, 2025
Background and Context: Hispanic-serving community colleges represent promising sites for broadening participation and enhancing computing interests around AI. Objectives: This study investigated how students enrolled in an introductory AI computing course at an HSCC made meaning of their course experiences and how they described their interest in…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Technology Integration
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Tammy D. Lee; Carrie Lee; Mark Newton; Paul Vos; Jennifer Gallagher; Daniel Dickerson; Camryn Regenthal – Journal of Science Teacher Education, 2024
Learning science is a social enterprise that involves students communicating ideas, observations, and findings. Navigating talk between students about scientific concepts and practices is a complex task for teachers. Traditionally, science educators have used a method called microteaching (teaching to peers) as a context for practicing teaching.…
Descriptors: Microteaching, Computer Simulation, Preservice Teachers, Computer Software
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Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
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Sümeyra Tosun – Cognitive Research: Principles and Implications, 2024
Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…
Descriptors: Bilingualism, Turkish, English (Second Language), Second Language Learning
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Omid Salmanpour; Omid Tabatabaei; Hadi Salehi; Melor Md Yunus – Asian-Pacific Journal of Second and Foreign Language Education, 2024
This study investigated the effect of using Stoodle software program on Iranian EFL teachers' autonomy, creativity, and work engagement in the light of teaching experience and gender. The participants comprised 60 EFL teachers including 30 male (15 novice and 15 experienced) and 30 female (15 novice and 15 experienced) teachers teaching at five…
Descriptors: Computer Software, Influence of Technology, English (Second Language), Language Teachers
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Yovav Eshet – Education and Information Technologies, 2024
The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different…
Descriptors: Plagiarism, Integrity, Ethics, Student Behavior
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Amanda D. Damiano; Eitel J. M. Lauría; Christian Sarmiento; Ningjing Zhao – Journal of Educational Technology Systems, 2024
This project explored perceptions of ChatGPT in higher education among students and faculty to assess teaching and learning implications of this Generative Artificial Intelligence (Generative AI)-based novel tool. Two theoretical frameworks inspired the project, including "Diffusion of Innovation theory" (Rogers, 1962) and…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Higher Education
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Gabriella Coloyan Fleming; Michelle Klopfer; Andrew Katz; David Knight – Journal of Engineering Education, 2024
Background: Engineering curricula are built around faculty and accreditors' perceptions of what knowledge, skills, and abilities graduates will need in engineering careers. However, the people making these decisions may not be fully aware of what industry employers require for engineering graduates. Purpose/Hypothesis: The purpose of this study is…
Descriptors: Advertising, Job Applicants, Engineering, Engineering Education
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Rastislav Metruk – Education and Information Technologies, 2024
In recent years, learners worldwide have expressed increasing interest in mobile learning and the utilization of mobile devices for language learning purposes. However, few research synthesis studies have focused on pronunciation development in relation to employing MALL (mobile-assisted language learning). This review article contributes to the…
Descriptors: Pronunciation Instruction, Teaching Methods, Telecommunications, Handheld Devices
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Xufeng Huang – Educational Studies, 2024
Two scientific and systematic evaluation index systems are constructed for primary education APP and Science, Technology, Engineering, and Mathematics (STEM) courses. These systems are revised and confirmed through two rounds of Delphi method. The Delphi method determines an educational application (APP) evaluation index system containing four…
Descriptors: Artificial Intelligence, Science Instruction, STEM Education, Curriculum Evaluation
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