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Xiaohua Liu – Asia-Pacific Education Researcher, 2025
The surge of generative AI (GenAI) tools on the internet has caused unprecedented disruptions to education, and there are growing concerns about them being misused by students to commit plagiarism, hence jeopardizing assessment validity. Despite the foreseeable challenges, it remains unclear how frontline language teachers perceive and react to…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Technology Uses in Education
Joel Weijia Lai; Wei Qiu; Maung Thway; Lei Zhang; Nurabidah Binti Jamil; Chit Lin Su; Samuel S. H. Ng; Fun Siong Lim – Journal of Learning Analytics, 2025
The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…
Descriptors: Artificial Intelligence, Computer Software, Learning Analytics, Introductory Courses
Jerry Huang; Atsushi Mizumoto – Education and Information Technologies, 2025
This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Uses in Education
Fan Wang; Songyu Jiang – African Educational Research Journal, 2025
Artificial intelligence (AI) integration into higher education is expanding. This study aims to conceptualise the higher vocational lecturers' adoption of AI-powered chatbots (AIPC) for academic performance. This research employs semi-structured interviews to collect data from 30 lecturers across 10 Chinese higher vocational higher education…
Descriptors: Artificial Intelligence, Computer Software, College Faculty, Career and Technical Education
Zhenjie Weng; Yao Fu – International Journal of Technology in Education, 2025
This systematic review analyses empirical studies on the implementation of Generative Artificial Intelligence (GenAI) in language education to highlight its impact on promoting inclusivity and bridging educational gaps. The review encompasses quantitative, qualitative, and mixed-methods research, with a focus on inclusivity and educational equity…
Descriptors: Inclusion, Artificial Intelligence, Computer Software, Equal Education
Mustafa Senel – Journal on School Educational Technology, 2025
Artificial Intelligence (AI) technologies are increasingly being integrated into educational processes, offering various benefits to students, educators, and education systems. This study employs a meta-analysis approach to examine research conducted in Turkey on the use of AI in English as a Foreign Language (EFL) instruction and compares the…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, English (Second Language)
Audrey Ellis; Tracie Yorke; Charles Ansell – Complete College America, 2025
As artificial intelligence reshapes many aspects of society and workforce, many colleges and universities have focused on developing technical AI programs within computer science departments. But preparing students and faculty for an AI-enabled future requires more than technical training--it demands a broader approach to AI literacy and…
Descriptors: Artificial Intelligence, Higher Education, Computer Software, Technology Integration
Omar Ali Al-Smadi; Radzuwan Ab Rashid; Raed Awad Al-Ramahi; Marwan Harb Alqaryouti; Holmatov Shakhriyor Zokhidjon Ugli; Abdurakhmon Norinboev Vokhidovich – Research in Learning Technology, 2025
In the dynamic landscape of higher education, the integration of artificial intelligence (AI) into learning has emerged as a transformative force, ushering in tailored, adaptive, and immersive educational experiences for undergraduate university students. This study employed a thematic analysis to scrutinize focus group discussions with 25…
Descriptors: Foreign Countries, Metacognition, Second Language Learning, Second Language Instruction
Izzet Dos – European Educational Researcher, 2025
This systematic review synthesizes research published between January 2023 and March 2025 on the integration of ChatGPT in higher education. Following PRISMA guidelines, a total of 20 peer-reviewed empirical studies were selected from Web of Science and Scopus databases. These studies represent diverse global contexts and methodological…
Descriptors: Research Reports, Artificial Intelligence, Computer Software, Integrity
Shu Zhou; Gerhardus D. Du Preez – Language Learning & Technology, 2025
This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…
Descriptors: Grammar, Writing Instruction, Artificial Intelligence, Computer Software
Baral, Sami; Botelho, Anthony; Santhanam, Abhishek; Gurung, Ashish; Cheng, Li; Heffernan, Neil – International Educational Data Mining Society, 2023
Teachers often rely on the use of a range of open-ended problems to assess students' understanding of mathematical concepts. Beyond traditional conceptions of student open-ended work, commonly in the form of textual short-answer or essay responses, the use of figures, tables, number lines, graphs, and pictographs are other examples of open-ended…
Descriptors: Mathematics Instruction, Mathematical Concepts, Problem Solving, Test Format
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Derar Serhan; Natalie Welcome – International Society for Technology, Education, and Science, 2023
Recently, institutions have increased their online course offerings as well as their online degrees. With this significant growth in online offerings, assessment integrity becomes a concern. In response to this concern, many institutions have adopted the use of online proctoring services. The aim of using these online proctoring services is to…
Descriptors: Computer Assisted Testing, Privacy, Student Attitudes, Ethics
Mohsina Kamarudeen; K. Vijayalakshmi – International Society for Technology, Education, and Science, 2023
This paper presents a mobile application aimed at enhancing the financial literacy of college students by monitoring their spending patterns and promoting better decision-making. The application is developed using the agile methodology with Android Studio and Flutter as development tools and Firebase as a database. The app is divided into…
Descriptors: Money Management, Computer Software, Financial Literacy, Telecommunications
Didactic Strategies for the Understanding of the Kalman Filter in Industrial Instrumentation Systems
Flórez C., Oscar D.; Camargo L., Julián R.; Hurtado, Orlando García – Journal of Language and Linguistic Studies, 2022
This paper presents an application of the Kalman filter in signal processing in instrumentation systems when the conditions of the environment generate a large amount of interference for the acquisition of signals from measurement systems. The unwanted interferences make important use of the instrumentation system resources and do not represent…
Descriptors: Measurement, Accuracy, Simulation, Computer Software

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