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Liu, Pei-Lin; Chen, Chiu-Jung – Educational Technology & Society, 2023
This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…
Descriptors: Translation, Artificial Intelligence, Computational Linguistics, Computer Software
Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Grace Hui Chin Lin – Online Submission, 2024
This research was conducted in a National University of western part in Taiwan. It guided students to select language learning games of language learning (Amur et al. (2024; Huang & Liaw, 2021; Srinivasan & Reddy 2023) on Facebook or other websites to improve English Language proficiencies in listening, speaking reading and writing. Below…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Lai, Jung-Yu; Chang, Li-Ting – SAGE Open, 2021
The education community has gradually recognized the value of augmented reality (AR) technology and its positive impacts on student learning performance. Still, few studies have proposed specific solutions and results to confirm this phenomenon for first graders in English vocabulary learning. Hence, this research explores the effects of AR apps…
Descriptors: Grade 1, Elementary School Students, Computer Software, Computer Simulation
Lin, Huang-Yao; Tsai, Shu-Chiao – Australasian Journal of Educational Technology, 2021
This study investigated the use of an augmented reality (AR) -supported application called STEMUP to develop mobile English courses on Android and iOS smartphones. It focused on vocabulary and listening and speaking skills, in an initial assessment of the effectiveness of implementing AR-based mobile English courses. The study was conducted with…
Descriptors: Student Attitudes, Undergraduate Students, Elementary School Students, Material Development
Lin, Vivien; Barrett, Neil E.; Liu, Gi-Zen; Chen, Nian-Shing; Jong, Morris Siu-Yung – Computer Assisted Language Learning, 2023
The field of language education has experienced a rise in using virtual reality (VR) to support interactive, contextualized, and collaborative language learning in recent years. The current study investigates the effects of auditory, visual, and textual input on speaking and writing in English for Tourism Purposes (ETP) through immersive,…
Descriptors: Tourism, English for Special Purposes, Undergraduate Students, Computer Simulation
Wu, Wen-Chi Vivian; Lin, I-Ting Doris; Marek, Michael W.; Ou Yang, Fang-Chuan – SAGE Open, 2021
Employment of idioms is essential to reach higher English expressive levels, especially for English as Foreign Language (EFL) learners. However, English idioms are challenging for both instructors and learners because the complex content of idioms depends on understanding their cultural context. Most mobile language applications are for vocabulary…
Descriptors: Figurative Language, Second Language Learning, Second Language Instruction, English (Second Language)
Chen, Chih-Ming; Chen, Liang-Chun; Yang, Shun-Min – Computer Assisted Language Learning, 2019
In recent years, numerous English vocabulary learning-assisted apps have been developed to enlarge learners' English vocabulary through mobile learning. However, the ability of learners to engage in self-regulated learning (SRL) importantly affects performance in autonomously learning English vocabulary using mobile apps. Therefore, this study…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Afzali, Parichehr; Shabani, Somayeh; Basir, Zohreh; Ramazani, Mohammad – Advances in Language and Literary Studies, 2017
Mobile phones are becoming more acceptable toolkits to learn languages. One aspect of English language which has been subject to investigation in mobile-assisted language learning (MALL) is vocabulary. This study reviewed some of the studies conducted in various contexts on the effect of MALL on vocabulary learning. We investigated some of the…
Descriptors: Telecommunications, Handheld Devices, Second Language Learning, Vocabulary Development
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2019
This study investigates the impact on extemporaneous English-language first drafts by using Google Translate (GT) in three different tasks assigned to Chinese sophomore, junior, and senior students of English as a Foreign Language (EFL) majoring in English. Students wrote first in Chinese (Step 1), then drafted corresponding texts in English (Step…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Shih, Ya-Chun – International Journal of Computer-Assisted Language Learning and Teaching, 2020
This study incorporated Google Street View into a 3D virtual environment, known as VECAR, in which EFL learners controlled their avatars to learn vocabulary in a context of New York City. New York City's Times Square is full of real-life materials, realia, which can be used to assist situated incidental vocabulary learning and to connect…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, English (Second Language)
Wu, Ting-Ting – Journal of Computer Assisted Learning, 2018
Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game-based English vocabulary practice…
Descriptors: Vocabulary Development, Learning Motivation, Telecommunications, Handheld Devices
Wang, Wen-Yen; Huang, Yueh-Min – Journal of Educational Computing Research, 2017
English is one of the most important second languages in nonnative English-speaking countries, where learning English usually begins in primary school. To this end, vocabulary learning is regarded as the most fundamental and crucial stage in developing the student's English language capability. While some studies have explored strategies of…
Descriptors: Vocabulary Development, English (Second Language), Elementary School Students, Syllables
Sieh, Yu-cheng – Taiwan Journal of TESOL, 2016
In an attempt to compare how orthography and phonology interact in EFL learners with different reading abilities, online measures were administered in this study to two groups of university learners, indexed by their reading scores on the Test of English for International Communication (TOEIC). In terms of "accuracy," the less-skilled…
Descriptors: Comparative Analysis, Word Recognition, Phonology, English (Second Language)
Liu, Sarah Hsueh-Jui; Lan, Yu-Ju – Educational Technology & Society, 2016
This study reports on the differences in motivation, vocabulary gain, and perceptions on using or the Google Docs between individual and collaborative learning at a tertiary level. Two classes of English-as-a-Foreign Language (EFL) students were recruited and each class was randomly assigned into one of the two groups--individuals or…
Descriptors: Web Based Instruction, Constructivism (Learning), Web 2.0 Technologies, Student Motivation
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