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Kaya, Feyat; Yucesoy-Ozkan, Serife – Education and Treatment of Children, 2022
In this study, we compared the effectiveness and efficiency of self-directed video prompting with and without voice-over narration for teaching daily living skills to children with autism spectrum disorder (ASD). The participants included four males between the ages of 10 to 14 years with ASD. We used an adapted alternating treatments design to…
Descriptors: Independent Study, Video Technology, Prompting, Artificial Speech
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
Dixit Bharatkumar Patel; Xavian Ogletree; Yong Pei – International Association for Development of the Information Society, 2022
While serious role-play games have been developed for individuals with autism spectrum disorders to learn social interactions and emotions, there is a lack of role-playing games that teach people without autism the necessary communication skills to engage and interact effectively with autistic people. In this research, we present a mobile serious…
Descriptors: Role Playing, Autism Spectrum Disorders, Interpersonal Competence, Communication Skills
Boggio, Cynthia; Zaher, Ahmed; Bosse, Marie-Line – British Journal of Educational Technology, 2023
The present study assessed the effectiveness of the ECRIMO educational application designed to build first-grade level spelling skills. We tested whether using the app to teach spelling would be as effective as providing the same training using traditional paper exercises. The effect of integrating gamification into mobile learning apps, which has…
Descriptors: Grade 1, Elementary School Students, Computer Software, Spelling Instruction
Dolowitz, Annetta; Collier, Jessica; Hayes, Aleshia; Kumsal, Cem – TechTrends: Linking Research and Practice to Improve Learning, 2023
This case study details microlearning content development, testing, and implementation of the NATO Headquarters Supreme Allied Command Transformation (HQ SACT) e-Learning Networking App (NeNA) conducted by an AECT microlearning consulting team. NeNA was designed to provide microlearning "just-in-time" content, to create socialization…
Descriptors: Case Studies, Computer Software, Armed Forces, International Organizations
Mahuda, Isnaini; Nasrullah, Anton; Mubarika, Melinda Putri; Meilisa, Ranny; Fajari, Laksmi Evasufi Widi – Online Submission, 2022
This study aimed; (1) to investigate student responses toward the use of android-based media assisted by Smart Apps Creator for mathematics learning; (2) to investigate student self-regulated learning level; (3) to find out whether there was an effect using Android-based mathematics learning media assisted by Smart Apps Creator on student…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Assisted Instruction, Telecommunications
Peng, Hongying; Lowie, Wander; Jager, Sake – Applied Linguistics, 2022
Learners' self-initiated language learning with mobile technology occurring outside the classroom is often contextualized, heterogeneous, and idiosyncratic. In this study, we propose a time-series clustering methodology for researching informal mobile language learners' learning and development of another language, with a view to unravelling the…
Descriptors: Second Language Learning, Second Language Instruction, Independent Study, Teaching Methods
Bourekkache, Samir; Kazar, Okba – International Journal of Information and Communication Technology Education, 2020
Mobile learning is considered a new phase of e-learning which gives the opportunity to learn more effectively and efficiently. In addition, the use of mobile devices for leaning is more sophisticated and more useful. The m-learning has become available anywhere and anytime for all students and professors. Moreover, the features of these mobile…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Viberg, Olga; Kukulska-Hulme, Agnes; Peeters, Ward – International Journal of Mobile and Blended Learning, 2023
Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…
Descriptors: Metacognition, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Tseng, Wen-Ta; Chen, Sufen; Wang, Shih-Ping; Cheng, Hsing-Fu; Yang, Pei-Shan; Gao, Xuesong A. – Journal of Educational Computing Research, 2022
Mobile-assisted language learning has emerged as a valuable tool for L2 pronunciation learning as it offers ample opportunities for learners to perform authentic learning activities anytime and anywhere. However, the extent to which mobile devices may facilitate or enhance L2 pronunciation has yet to be systematically investigated. To address the…
Descriptors: Pronunciation Instruction, Teaching Methods, Meta Analysis, Second Language Learning
Aw, Jonah Kailer; Boellaard, Kevin Christopher; Tan, Teck Kiang; Yap, John; Loh, Yi Ping; Colasson, Benoît; Blanc, Étienne; Lam, Yulin; Fung, Fun Man – Journal of Chemical Education, 2020
Visualization of three-dimensional (3D) elements has always played a huge role in chemistry education. At the same time, it is a challenge to teach with most representations being shown in two-dimensional (2D) media. With the recent rise of extended reality (XR) that includes virtual and augmented reality (VR/AR) technology in higher education,…
Descriptors: Molecular Structure, Science Instruction, Teaching Methods, Computer Simulation
Jeon, Jaeho – Education and Information Technologies, 2022
The landscape of self-directed learning in mobile-assisted language learning (MALL) is changing from mechanical and repetitive to communicative and meaningful learning. This is due to the development and integration of conversational agents into mobile devices. Students can learn a language via a self-directed interactive app (SIA) where they can…
Descriptors: Telecommunications, Computer Assisted Instruction, Independent Study, Second Language Learning
Peng, Hongying; Jager, Sake; Lowie, Wander – Computer Assisted Language Learning, 2022
Mobile technologies provide opportunities for L2 learners to engage in complex interactions involving a multitude of cognitive, meta-cognitive, and affective factors. Understanding the process of learners' mobile language learning thus needs holistic approaches that integratively consider learner attributes and their interaction with mobile…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
Sundberg, Ross; Cardoso, Walcir – CALICO Journal, 2020
This pilot study examines users' perceptions of Bande à Part, a music application designed for learners of French. The technology acceptance model (TAM) was adopted to investigate users' perceptions of the app's usability and potential for second language (L2) learning. The model's two constructs, perceived usefulness and perceived ease of use,…
Descriptors: French, Second Language Learning, Second Language Instruction, Computer Software
Li, Kam Cheong; Wong, Billy Tak-Ming – Australasian Journal of Educational Technology, 2021
This article presents a review of the literature on smart learning in order to provide a comprehensive overview of its latest developments in research and practice. The review covered 90 studies published from 2010 to 2019, which were collected from three publication databases, namely Web of Science, Scopus and ProQuest. They were analysed for the…
Descriptors: Educational Technology, Teaching Methods, Learning Processes, Databases