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Mikko Hyttinen; Jarkko Suhonen – International Journal of Technology in Education and Science, 2023
This case study outlines the development and utilization of a Mobile Augmented Reality (MAR) application to teach an asynchronous online lesson on e-commerce. The MAR technology was leveraged primarily to enhance the presentation of online learning materials, add interactivity to the learning process, and enable students to access the lesson from…
Descriptors: Electronic Learning, Asynchronous Communication, Physical Environment, Simulated Environment
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Tim Vandenhoek – International Journal of Education and Development using Information and Communication Technology, 2023
Plagiarism in academic writing is known to be an issue of concern for educators, administrators, and students alike. Using self-reporting studies and plagiarism detection software, previous research has established that plagiarism in university-level academic writing is relatively common amongst the work of L1 and particularly L2 writers and that…
Descriptors: Plagiarism, Writing (Composition), College Students, Virtual Classrooms
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Ying-Hsueh Cheng – Educational Technology & Society, 2023
Many students who study English as a foreign language (EFL) often find it challenging to paraphrase while writing from source texts. Lacking such an ability can lead to different meanings as well as copying another person's ideas, words or work. However, little research has been done to integrate tool consultation to assist students in…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Phrase Structure
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Chalermsup Karanjakwut; Kamonwan Charunsri – Malaysian Online Journal of Educational Technology, 2025
This study investigated the impact of AI-driven brainstorming tools on process writing instruction and students' writing outcomes in the context of third-year Thai university students. A mixed-methods approach was employed to examine the effectiveness of AI-driven brainstorming tools, foreign English lecturers' preferences and comments towards…
Descriptors: Writing Instruction, Teaching Methods, Writing Processes, Process Approach (Writing)
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Himel Mondal; Juhu Kiran Krushna Karri; Swaminathan Ramasubramanian; Shaikat Mondal; Ayesha Juhi; Pratima Gupta – Advances in Physiology Education, 2025
Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…
Descriptors: Computational Linguistics, Physiology, Teaching Methods, Artificial Intelligence
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Stanislav Pozdniakov; Roberto Martinez-Maldonado; Yi-Shan Tsai; Vanessa Echeverria; Zachari Swiecki; Dragan Gaševic – Journal of Learning Analytics, 2025
Recent research on learning analytics dashboards has focused on designing user interfaces that offer various forms of "visualization guidance" (often referring to notions such as "data storytelling" or "narrative visualization") to teachers (e.g., emphasizing data points or trends with colour and adding annotations),…
Descriptors: Visual Aids, Learning Analytics, Technological Literacy, Pedagogical Content Knowledge
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Maria Antonina Obojska; Potheini Vaiouli – International Journal of Multilingualism, 2025
Recent research shows that transnational families draw on digital media in their language learning. However, little systematic knowledge exists on the nature of these practices, the tools used, and the families' views regarding digital media use for language learning. This article addresses this knowledge gap, presenting the results of an online…
Descriptors: Family Relationship, Multilingualism, Language Usage, Information Technology
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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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Quyen Tran – Technology in Language Teaching & Learning, 2025
Based on the concept of "learner agency", this single case study examines the self-instructed language learning process of a language learner with ChatGPT since May 2024. To serve the purpose of the study, qualitative data were collected through a semi-structured interview, the participant's chat logs with the bot, and his learning…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Integration
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Jiahui Wu; Jianwei Li; Zigang Ge; Mingrui Xu; Li Lin; Ru Zhang – Journal of Educational Computing Research, 2025
Automated written corrective feedback (AWCF) tools play a crucial role in supporting English writing instruction. However, issues such as insufficient accuracy and hallucination have undermined users' trust in these systems. To address these challenges, this study investigates the potential of Generative Artificial Intelligence (GAI) enhanced by…
Descriptors: Error Correction, Feedback (Response), Artificial Intelligence, Computer Software
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Alma S. Espartinez – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This paper investigates the integration of ChatGPT in Philippine higher education institutions (HEIs). It explores whether ChatGPT bridges or deepens educational divides, particularly in the context of the urban-rural gap, ethical concerns, and cultural resistance to technological change. Background: Focusing on Philippine HEIs, the…
Descriptors: Foreign Countries, Rural Urban Differences, Ethics, Guidelines
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Shobana R. Dissanayeke; Rebecca Lewis; Siobhan Swindells – Open Learning, 2024
A strategic priority for university educators is to ensure graduates have developed a range of transferable skills. An important skill required by employers is the development of digital capabilities. The COVID-19 pandemic necessitated the move of courses into blended formats which provided an opportunity for educators to redesign their modules to…
Descriptors: Assignments, Digital Literacy, Employment Potential, Blended Learning
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Yuko Hayashi; Yusuke Kondo; Yutaka Ishii – Innovation in Language Learning and Teaching, 2024
Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Japanese
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Kai Guo; Yuanke Li; Yongyan Li; Samuel Kai Wah Chu – Education and Information Technologies, 2024
Despite growing interest in exploring the application of chatbots in language education, studies on the process of chatbot-assisted language learning are scant. This qualitative study uses activity theory to understand how English as a foreign language students engage with a chatbot, Argumate, when composing argumentative essays. Five Chinese…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Casper J. D. Jensen; Teresa Cadierno – Language Learning Journal, 2024
The number of learners seeking to acquire an L2 by means of apps is ever-increasing. This study examined the effectiveness of using the app "Mondly" for the acquisition of L2 English vocabulary while accounting for differences in the acquisition of receptive and productive aspects of word knowledge. Twelve Danish young learners (aged…
Descriptors: Receptive Language, Expressive Language, Correlation, Computer Assisted Instruction
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