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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)
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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
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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
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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)
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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
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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
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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
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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
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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
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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
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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