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Kunyang Qu; Xuande Wu – Education and Information Technologies, 2024
The advancement of information technologies has led to increased attention to AI chatbots as valuable tools for computer-assisted language learning (CALL), drawing the attention of both academic scholars and industry practitioners. However, there remains limited understanding regarding the adoption of AI chatbots, specifically within the context…
Descriptors: Computer Software, Second Language Instruction, English (Second Language), Artificial Intelligence
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Yun Huang; Christian Dieter Schunn; Julio Guerra; Peter L. Brusilovsky – ACM Transactions on Computing Education, 2024
Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…
Descriptors: Programming, Computer Science Education, Error Patterns, Classification
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Tore Andre Ringvold; Ingri Strand; Peter Haakonsen; Kari Saasen Strand – Design and Technology Education, 2024
In today's constantly changing world technological developments in artificial intelligence (AI) can induce educational visions of both utopia and dystopia. New technologies and communication platforms can provide new forms and possibilities of learning. Creating an image has historically mostly been a human process of using knowledge and…
Descriptors: Artificial Intelligence, Computer Software, Design, Teaching Methods
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Sirin Sawangwan – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study statistically compared the differences between Chat Generative Pre-Trained Transformer (ChatGPT) and teacher instruction, comparing the use of ChatGPT with teachers' roles in developing English as a Foreign Language writing. A mixed-method approach was employed. The quantitative component examined learners' writing performance, before…
Descriptors: Technology Uses in Education, Artificial Intelligence, Computer Software, Synchronous Communication
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Hsiao-Wen Hsu – International Journal of Technology in Education, 2024
The implementation of computer-assisted pronunciation training (CAPT) has been proven to be successful in improving learners' pronunciation abilities. Automatic speech recognition (ASR) software was used to provide mediated support to 103 pre-intermediate level students (62 males and 41 females). After experiencing a two-semester of CAPT…
Descriptors: Automation, Assistive Technology, Pronunciation, English Language Learners
Kate Berkley; Joseph I. Castro; Shadman Uddin – Center for Studies in Higher Education, 2024
In recent years, American universities have implemented many innovative strategies to enhance the academic success of students, especially those from underrepresented backgrounds. Yet first-generation and/or low-income (FLI) college students continue to encounter barriers to success because they do not have authentic access to digital technology…
Descriptors: Telecommunications, Handheld Devices, Ownership, Barriers
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Charles Hulme; Joshua McGrane; Mihaela Duta; Gillian West; Denise Cripps; Abhishek Dasgupta; Sarah Hearne; Rachel Gardner; Margaret Snowling – Language, Speech, and Hearing Services in Schools, 2024
Purpose: Oral language skills provide a critical foundation for formal education and especially for the development of children's literacy (reading and spelling) skills. It is therefore important for teachers to be able to assess children's language skills, especially if they are concerned about their learning. We report the development and…
Descriptors: Automation, Language Tests, Standardized Tests, Test Construction
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Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
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Kevin Daniel Fedewa – Frontiers: The Interdisciplinary Journal of Study Abroad, 2024
This preliminary case study used qualitative methods to analyze the experiences of eight short-term education abroad participants prior to, during, and shortly after a two-week program in Taipei. Interpretive analysis of reflection papers, focus group interviews, mobile app assignments, and a post-program evaluation survey revealed that students…
Descriptors: Holistic Approach, Study Abroad, Cultural Awareness, Student Attitudes
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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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Marina Sidorova; Tatyana Kopus; Irina Yurasova – Accounting Education, 2024
This study investigates the use of digital transformation for teaching management accounting through the implementation of training with a simulation in an authentic professional environment. Technology makes it possible to bring professional reality into the classroom, thereby enhancing the work-integrated experience of students. The authors…
Descriptors: Accounting, Professional Education, Management Development, Education Work Relationship
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Mehmet Donmez; Kursat Cagiltay – Educational Technology & Society, 2024
This study investigated the design processes for developing eye training materials for children with low vision (CLV) using computer game applications based on eye movement tracking to enhance their vision skills. The primary aim was to create interactive eye training materials tailored to improve CLV's vision abilities. Employing a design-based…
Descriptors: Eye Movements, Visual Impairments, Parent Attitudes, Special Education Teachers
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Berkay Ceylan; Melek Altiparmak Karakus – International Journal of Technology in Education and Science, 2024
This research aims to investigate the use of an artificial intelligence-based mobile application with plants and plant identification techniques (AImPLANT) with prospective science teachers in outdoor activities. The goals of the study are: (i) to develop an AI-based mobile application from scratch based customized for education (ii) to enhance…
Descriptors: Artificial Intelligence, Handheld Devices, Telecommunications, Computer Oriented Programs
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Jing Wang; Jasni Dolah – International Journal of Virtual and Personal Learning Environments, 2024
Cultural tourism provides rich opportunities for experiential learning, but a framework to foster such learning is lacking. This study introduces the "learning behaviors-interactive scenarios" framework to explore key facilitators of experiential learning in cultural tourism. Through a literature review, it outlines key learning…
Descriptors: Influences, Experiential Learning, Tourism, Cultural Awareness
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Beckie Arden; Jennifer Norris; Steve Cole; Simon C. Gamble – Cogent Education, 2024
University students are increasingly taking a digital approach to notetaking in lectures, influenced by technological developments, environmental sustainability, and the Covid-19 pandemic. This research aims to understand the ways in which students currently make digital notes and identify barriers to digital notetaking from a student perspective.…
Descriptors: Foreign Countries, College Students, Notetaking, Handheld Devices
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