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Serdar Tekin – Journal of Learning and Teaching in Digital Age, 2024
The enormous developments in technology and hence the widespread use of hand-held devices in the last few decades have led to great interest in mobile-assisted language learning (MALL) as a new way of language education. MALL is considered an effective method particularly for young language learners due to their higher level of familiarity with…
Descriptors: Computer Assisted Instruction, Second Language Learning, Ethics, Quasiexperimental Design
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Qing Wang; Xizhen Cai – Journal of Statistics and Data Science Education, 2024
Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…
Descriptors: Active Learning, Class Activities, Classification, Artificial Intelligence
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Margaret A.L. Blackie – Teaching in Higher Education, 2024
Large language models such as ChatGPT can be seen as a major threat to reliable assessment in higher education. In this point of departure, I argue that these tools are a major game changer for society at large. Many of the jobs we now consider highly skilled are based on pattern recognition that can much more reliably be carried by fine-tuned…
Descriptors: Artificial Intelligence, Synchronous Communication, Science and Society, Evaluation
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Georgia M. Kapitsaki – IEEE Transactions on Education, 2024
Contribution: Reporting of students' view on the use of preparatory sprint and virtual meetings, as well as on the workload effort in combination with coding artifacts in a Scrum-variant project-based course. Background: Scrum has been adopted to a large extent in Software Engineering (SE) courses. Relevant aspects have been examined in the…
Descriptors: College Faculty, College Students, Computer Software, Programming
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Melanie Ann Weber; Mia Anzilotti; Reece Gormley; Christina Huber; Alyssa McGarvey; Grace McKee; Claire Ogden; Hannah Seinfeld; Julia Wank; Arnold Olszewski – Perspectives of the ASHA Special Interest Groups, 2024
Purpose: Technology, including educational applications (apps), is commonly used in schools by teachers and speech-language pathologists. Nonetheless, very little research has examined the efficacy of these apps for student learning or how to choose appropriate apps for instruction. Several previous rubrics to evaluate the instructional quality of…
Descriptors: Computer Software, Handheld Devices, Educational Technology, Technology Uses in Education
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Mehmet Demir; Yilmaz Zengin – Digital Experiences in Mathematics Education, 2024
The aim of this study is to explore how structural and process aspects of secondary school students' mathematical reasoning support each other in a collaborative learning environment through the integration of "GeoGebra" software and the ACODESA method. The study involved four eighth-grade secondary school students, who participated in…
Descriptors: Mathematics Skills, Thinking Skills, Computer Software, Mathematics Instruction
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George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods
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Taw Kuei Chan – Education and Information Technologies, 2024
The synchronous hybrid learning model, which involves simultaneous face-to-face and remote learning, suffers from a disparity in the lesson experience and outcomes provided by the different learning modes. Moreover, the online medium allows little opportunity for teachers to exhibit non-verbal immediacy behaviours to improve cognitive engagement…
Descriptors: Computer Software, Learning Experience, Blended Learning, Teaching Methods
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Irena Miljkovic Krecar; Maja Kolega; Lana Jurcec – IAFOR Journal of Education, 2024
In the context of education, the issues of integrating artificial intelligence (AI) into teaching and maintaining academic integrity in students' use of AI are particularly relevant. This paper empirically examined the issue of ChatGPT usage for writing homework from the perspectives of students and professors. Study research methods included both…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Student Attitudes
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Peter Curtis; Brett Moffett; David A. Martin – Australian Primary Mathematics Classroom, 2024
In this article, the authors explore how the 3C Model can be used to integrate other curriculum areas with mathematics, namely digital technologies. To illustrate the model, they provide a practical example of a teaching sequence. T he 3C Model is designed to create opportunities for applying reasoning and problem-solving skills and learning…
Descriptors: Models, Computer Software, Problem Solving, Mathematics Instruction
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Kunal Sareen – Innovations in Education and Teaching International, 2024
This study examines the proficiency of Chat GPT, an AI language model, in answering questions on the Situational Judgement Test (SJT), a widely used assessment tool for evaluating the fundamental competencies of medical graduates in the UK. A total of 252 SJT questions from the "Oxford Assess and Progress: Situational Judgement" Test…
Descriptors: Ethics, Decision Making, Artificial Intelligence, Computer Software
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Ju Wen; Lan Yi – RELC Journal: A Journal of Language Teaching and Research, 2024
The rapid advancement in video technologies in recent years has made the creating and editing of subtitles for a video increasingly feasible. For a long time, however, the pedagogical potentials of subtitling in language teaching and learning have been neglected. To fill this gap, this technology review introduces "VisualSubSync," a free…
Descriptors: Listening Skills, Teaching Methods, English (Second Language), Second Language Learning
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Duong Thi Thuy Mai; Nguyen Van Hanh – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study investigated whether English proficiency (EP) and English self-efficacy (ESE) influence the credibility of ChatGPT-generated English content (CCGEC) of college students in the English-medium instruction (EMI) courses. We observed a college-level EMI course called "Technical Writing and Presentation", where instructors…
Descriptors: Language Proficiency, Self Efficacy, Credibility, Artificial Intelligence
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Christopher J. Wagner – Reading Teacher, 2024
Artificial intelligence is the simulation or development of reasoning and other human-like cognitive abilities by computers. Currently, there is limited exploration of applications of artificial intelligence tools for teaching reading to children in the early childhood and elementary grades, including how artificial intelligence might be used to…
Descriptors: Artificial Intelligence, Teaching Methods, Technology Uses in Education, Computer Software
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Jacqueline Zammit – Computer Assisted Language Learning, 2024
With the advancement of educational technologies, computer-assisted language learning (CALL) tools, like online dictionaries, are essential for acquiring a second language, especially new vocabulary. There has been no empirical focus on the usage of "Gabra" online dictionary in learning Maltese, with a specific focus on international…
Descriptors: Dictionaries, Computer Assisted Instruction, Language Acquisition, Second Language Learning
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