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Brenna Griffen; Elizabeth R. Lorah; Nicolette Caldwell; Donald A. Hantula; John Nosek; Matt Tincani; Shea Lemley – Journal of Developmental and Physical Disabilities, 2024
Handwashing is a vital skill for maintaining health and hygiene. For individuals with intellectual and developmental disabilities (IDD), such as autism spectrum disorder, evidence-based strategies, such as prompting and task analysis, may be effective in teaching these skills. Due to the shortage of experts who teach individuals with IDD skills…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Health Behavior, Hygiene
Elsa Morgado; Levi Leonido; Antonino Pereira; Luís Borges Gouveia – Educational Process: International Journal, 2025
Background/purpose: Artificial Intelligence (AI) and distance learning (EaD) have profoundly transformed education, redefining teaching methodologies and learning dynamics. When integrated into educational environments, these technologies facilitate equitable access to knowledge, enable personalized learning, and enhance pedagogical flexibility.…
Descriptors: Educational Technology, Technology Uses in Education, Distance Education, Artificial Intelligence
Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
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
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
Aparna Hebbani; Michael Mersiades; Ameya Deshmukh – Australian Review of Applied Linguistics, 2023
This exploratory Australian study tested a novel mobile-based language learning service intervention (via WhatsApp) called 'Chatloop' with 31 newly arrived migrants. This intervention was offered in tandem with the traditional Adult Migrant English Program (AMEP) classroom curriculum. A mixed methods approach was employed to trial the intervention…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
Tai, Tzu-Yu; Chen, Howard Hao-Jan – Interactive Learning Environments, 2023
Willingness to communicate (WTC) is considered to be an important factor contributing to successful foreign language learning. Many studies aim at finding effective tools for enhancing WTC. With the support of AI and Automatic Speech Recognition technology, intelligent personal assistants (IPAs) seem to have potentials in improving foreign…
Descriptors: Grade 8, English (Second Language), English Language Learners, Language Attitudes
Lin, Vivien; Liu, Gi-Zen; Chen, Nian-Shing – Computer Assisted Language Learning, 2022
The use of technology such as online software has been examined in English as a foreign language (EFL) writing contexts. However, few studies have incorporated context-aware ubiquitous technology into EFL writing instruction. To develop multimodal and digital literacy of target EFL undergraduates in this pilot project, the researchers designed and…
Descriptors: Writing Instruction, Teaching Methods, Schemata (Cognition), Second Language Learning
Çelik, Ferdi; Yangin Ersanli, Ceylan – Smart Learning Environments, 2022
The advancement of technology has provided new avenues for English language teachers to assist students in improving their language learning processes. Augmented reality is an emerging technology that can implement virtual objects into the physical learning environment. This quantitative study aimed to determine the impact of employing augmented…
Descriptors: Content and Language Integrated Learning, Teaching Methods, English (Second Language), Second Language Learning
Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)

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