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Sri Wahyuni; Nur Hidayanto Pancoro Setyo Putro; Anwar Efendi – Advanced Education, 2024
Notwithstanding the increase in research on artificial intelligence-infused English language learning, several issues remain inadequately addressed. Thus, this paper provides a systematic review and analyzes previous studies to pinpoint fruitful knowledge gaps and outline approaches for future research directions. Two approaches, bibliometric and…
Descriptors: Artificial Intelligence, Educational Trends, Technology Uses in Education, Handheld Devices
Victor K. Y. Chan – International Association for Development of the Information Society, 2024
This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…
Descriptors: Computer Oriented Programs, Handheld Devices, Telecommunications, Usability
Pauldy Cornelia Johanna Otermans; Stephanie Baines; Monica Pereira; Chelsea Livingstone; Dev Aditya – International Journal of Technology in Education, 2024
Revolutionary technological advancements have introduced the integration of Conversational AI into a multitude of different settings. This widespread implementation has raised questions about the impact of AI on learning, its benefits are and its potential costs. This study aims to explore the perspectives of parents, investigating their…
Descriptors: Artificial Intelligence, Parent Attitudes, Technology Uses in Education, Computer Mediated Communication
Eric Best; Daniel J. Mallinson – Journal of Political Science Education, 2024
There has been a massive shift in teaching quantitative political research since the "Journal of Political Science Education" was launched in 2004. Smartphones were an anomaly, and it was uncommon to have laptops in the classroom. Statistical calculations were sometimes done by "statisticians", i.e., professional staff who did…
Descriptors: Political Science, Educational History, Educational Trends, Educational Change
Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Vásquez-Carbonell, Mauricio – Digital Education Review, 2022
Augmented Reality (AR) is a technology that has benefited from the massification of computational devices, putting it in the focus of researchers as a novel teaching aid in engineering. For this very reason, a great amount of information about AR in engineering education is emerging constantly. To synthesize the information, a Systematic…
Descriptors: Computer Software, Computer Simulation, Artificial Intelligence, Engineering Education
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
Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Ayse Sezer – Online Submission, 2023
In order to keep up with the speed of science and technology in today's conditions, it is important for human beings to constantly renew themselves and adapt to the changing world and living conditions. In this content, education plays a significant role, and art education, in particular, hold a pioneering role in nurturing civilized individuals.…
Descriptors: Artificial Intelligence, Teaching Methods, Freehand Drawing, Child Development
Urlaub, Per; Dessein, Eva – L2 Journal, 2022
This article argues that consumer-oriented machine translation software applications are disrupting foreign language education. In order to mitigate this impact, the article provides guidance on how to transform teachers' perceptions of online translators. This process is a critical precondition for the gradual and thoughtful implementation of…
Descriptors: Translation, Computational Linguistics, Teaching Methods, Computer Software
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Godwin-Jones, Robert – Language Learning & Technology, 2023
Looking at human communication from the perspective of semiotics extends our view beyond verbal language to consider other sign systems and meaning-making resources. Those include gestures, body language, images, and sounds. From this perspective, the communicative process expands from individual mental processes of verbalizing to include features…
Descriptors: Second Language Learning, Second Language Instruction, Semiotics, Nonverbal Communication
Silvia García-Méndez; Francisco de Arriba-Pérez; Francisco J. González-Castaño – International Association for Development of the Information Society, 2023
Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Usability
Lior Naamati-Schneider; Dorit Alt – Education and Information Technologies, 2024
The integration of ChatGPT into educational systems underscores the critical importance of reevaluating the relevance of digital literacy skills. This study empirically tested, for the first time, the theoretical premise that the use of ChatGPT could render certain digital skills obsolete by assuming competencies that students were previously…
Descriptors: Artificial Intelligence, Handheld Devices, Users (Information), Skill Development
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software

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