Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 11 |
Since 2006 (last 20 years) | 18 |
Descriptor
Source
Author
Obari, Hiroyuki | 4 |
Ishikawa, Yasushige | 2 |
Kondo, Mutsumi | 2 |
Lambacher, Stephen | 2 |
Smith, Craig | 2 |
Akahane-Yamada, Reiko | 1 |
Akano, Ichiro | 1 |
Baik, Doo-Kwon | 1 |
Che, Pei-Chun | 1 |
Chen, Pei-Shih | 1 |
Choi, Youngduck | 1 |
More ▼ |
Publication Type
Reports - Research | 17 |
Journal Articles | 12 |
Speeches/Meeting Papers | 6 |
Tests/Questionnaires | 2 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 14 |
Postsecondary Education | 13 |
Adult Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Test of English for… | 18 |
What Works Clearinghouse Rating
Hsu, Mei-Hua; Chen, Pei-Shih; Yu, Chi-Shun – Interactive Learning Environments, 2023
Many learners of English as a foreign language often feel that learning spoken English is frustrating and quite difficult, especially when they have to talk to English-speaking foreigners. In general, because they are unfamiliar with the spoken mode of English and are worried about making grammatical errors, they often feel very scared to speak…
Descriptors: Task Analysis, Artificial Intelligence, Computer Software, English (Second Language)
Kim, Na-Young – English Teaching, 2022
The purpose of this study was to examine the impacts of AI-integrated MALL on Korean students' TOEIC preparation, by comparing with AI-integrated CALL. A total of 496 freshmen students participated in this study. They were arbitrarily assigned to AI CALL (n = 190), AI MALL (n = 164), and the control (n = 132) groups. During a 2021 academic…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Test Preparation
Kim, Byungsoo; Yu, Hangyeol; Shin, Dongmin; Choi, Youngduck – International Educational Data Mining Society, 2021
The needs for precisely estimating a student's academic performance have been emphasized with an increasing amount of attention paid to Intelligent Tutoring System (ITS). However, since labels for academic performance, such as test scores, are collected from outside of ITS, obtaining the labels is costly, leading to label-scarcity problem which…
Descriptors: Academic Achievement, Intelligent Tutoring Systems, Prediction, Scores
Ko, Myong-Hee – Computer Assisted Language Learning, 2022
The present study investigates South Korean university students' personal computer (PC) and smartphone usage patterns on an online Test of English for International Communication (TOEIC) website using learning analytics. A total of 107 students taking a "College TOEIC" course participated during one academic semester and records of their…
Descriptors: Computers, Telecommunications, Handheld Devices, English (Second Language)
Obari, Hiroyuki; Lambacher, Steve; Kikuchi, Hisayo – Research-publishing.net, 2020
This study focuses on the use of emerging technologies such as Artificial Intelligence (AI) smart speakers and smartphone applications for improving the English language skills of L1 Japanese undergraduates. An empirical investigation was carried out with 82 Japanese students. Participants were required to study a variety of online English…
Descriptors: Artificial Intelligence, Computer Simulation, Audio Equipment, Handheld Devices
Daly, Nigel P. – Language Learning & Technology, 2022
The road to second language competence is a long and arduous one, and much of its effort involves learning to recognize and use vocabulary. Fortunately, anytime-anywhere learning with smart phones and smart apps offer a means to lessen the burden and make vocabulary learning more efficient. Accordingly, this study investigated 134 students across…
Descriptors: Personal Autonomy, Independent Study, Computer Assisted Instruction, Language Tests
Ou-Yang, Fang Chuan; Wu, Wen-Chi Vivian – Journal of Educational Computing Research, 2017
To achieve better adaptive learning for mobile-assisted language learning (MALL), individual prior knowledge proficiency, perceptual learning style, and learning behavior should all be considered in system development. While reviewing the existing literature about MALL research, the researchers of this study found very few recent studies exploring…
Descriptors: Teaching Methods, Vocabulary Development, Telecommunications, Handheld Devices
Wang, Shudong; Iwata, Jun; Jarrell, Douglas – JALT CALL Journal, 2018
Since 2010, both universities in which the authors teach have integrated pc-based e-learning or mobile learning programs into several English courses. Students' online performances are evaluated and used in determining the grades for each course. The data accumulated over the years indicates both changing and unchanged e-learning habits among…
Descriptors: Electronic Learning, English (Second Language), Second Language Learning, Second Language Instruction
Milliner, Brett – JALT CALL Journal, 2017
Many research studies into Extensive reading (ER) have recognized its potential for improving language learners' reading proficiency and other language skills. However, some recent reviews of ER research (e.g., Waring & McLean 2015; Nakanishi, 2015; Mori, 2015) have argued for more refinement in research design so that ER research can be more…
Descriptors: Telecommunications, Handheld Devices, Second Language Learning, Second Language Instruction
Tran, Phuong – JALT CALL Journal, 2016
Mobile phone ownership among university students in Vietnam has reached almost 100%, exceeding that of Internet-capable desktop computers. This has made them increasingly popular to allow learners to carry out learning activities outside of the classroom, but some studies have suggested that learners are not always willing to engage in activities…
Descriptors: Telecommunications, Vocabulary Development, College Students, Foreign Countries
Pollard, Andrew – English Teaching Forum, 2015
For many people, mobile phones are a part of modern life. Although the purpose of this technology revolves around language and communication, its application to language learning still appears to be underutilized. This is changing, as the widespread use of this handheld technology offers numerous opportunities to use functions that are ideal for…
Descriptors: Telecommunications, Computer Oriented Programs, Handheld Devices, Computer Mediated Communication
Ishikawa, Yasushige; Akahane-Yamada, Reiko; Smith, Craig; Kondo, Mutsumi; Tsubota, Yasushi; Dantsuji, Masatake – Research-publishing.net, 2015
This paper reports on a research project in a university English as Foreign Language (EFL) program in Japan which explored ways to sustain active participation in e-learning tasks. The tasks were intended to improve students' scores on the Test of English for International Communication (TOEIC), a test used by businesses to make hiring decisions.…
Descriptors: English (Second Language), Teaching Methods, Handheld Devices, Electronic Learning
Son, Jiseong; Kim, Jeong-Dong; Na, Hong-Seok; Baik, Doo-Kwon – Educational Technology & Society, 2016
In this research, we propose a Social Learning Management System (SLMS) enabling real-time and reliable feedback for incorrect answers by learners using a social network service (SNS). The proposed system increases the accuracy of learners' assessment results by using a confidence scale and a variety of social feedback that is created and shared…
Descriptors: Integrated Learning Systems, Feedback (Response), Social Networks, Accuracy
Yang, Ju Yin; Che, Pei-Chun – Turkish Online Journal of Educational Technology - TOJET, 2015
This paper investigates college students' English language learning through use of Dr. Eye Android handheld mobile Internet device (MID). Compared to related studies, students' English learning using MIDs has not been evaluated and fully understood in the field of higher education. Quantitatively, the researchers used TOEIC pretest and posttest to…
Descriptors: College Students, Student Improvement, English Language Learners, Electronic Learning
Obari, Hiroyuki; Lambacher, Stephen – Research-publishing.net, 2014
A longitudinal study conducted from April 2013 to January 2014 sought to ascertain whether a blended learning (BL) environment incorporating m-learning could help Japanese undergraduates improve their English language skills. In this paper, various emerging technologies (including Globalvoice English, ATR CALL Brix, the mobile learning-oriented…
Descriptors: Blended Learning, Teaching Methods, Second Language Learning, English (Second Language)
Previous Page | Next Page ยป
Pages: 1 | 2