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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
Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…
Descriptors: English (Second Language), Speech Communication, English Language Learners, Anxiety
Yang, Yu-Fen; Kuo, Nai-Cheng – Computer Assisted Language Learning, 2023
Few studies on higher education focus on how English as a Foreign Language (EFL) college students may enhance their global literacy through cross-cultural communication. This mixed methods research reports on a blended learning program with cross-cultural communication to foster EFL college students' global literacy. A sample of 97 EFL college…
Descriptors: Blended Learning, English (Second Language), College Students, Second Language Learning
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
Peichin Chang; Pin-Ju Chen; Li-Ling Lai – Computer Assisted Language Learning, 2024
Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…
Descriptors: Editing, Computer Software, Artificial Intelligence, Translation
Yu-Fen Yang; Wen-Min Hsieh; Wing-Kwong Wong; Yi-Chun Hong; Siao-Cing Lai – Computer Assisted Language Learning, 2024
Foreign Language Anxiety (FLA) is considered a central affective factor influencing English as a Foreign Language (EFL) learning. This study thus developed an online simulation game to create a virtually situated learning environment for reducing EFL primary school students' FLA levels and improving their English vocabulary learning. A total of…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
Chen, Hao-Jan Howard; Lai, Shu-Li; Lee, Ken-Yi; Yang, Christine Ting-Yu – Computer Assisted Language Learning, 2023
Knowledge of collocations is essential for English academic writing. However, there are few academic collocation referencing tools available and there is a pressing need to develop more. In this paper, we will introduce the ACOP (Academic Collocations and Phrases Search Engine), a newly developed corpus-based tool to search large academic corpora.…
Descriptors: Academic Language, English for Academic Purposes, Phrase Structure, Computational Linguistics
Barrett, Neil E.; Liu, Gi-Zen; Wang, Hei-Chia – Computer Assisted Language Learning, 2022
This study investigated student perceptions and opinions on an English Oral Presentation Application (EOPA), a mobile learning application designed to assist English learners develop oral presentations and online collaboration skills. This study was part of a Design Based Research (DBR) project which incorporated an adapted Technology Acceptance…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Oral Language
Yen-Jung Chen; Liwei Hsu; Shao-wei Lu – Computer Assisted Language Learning, 2024
It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English…
Descriptors: Visual Aids, English (Second Language), Second Language Learning, Feedback (Response)
Yi-shan Shi; Chih-yung Tsai – Computer Assisted Language Learning, 2024
A number of Mobile-Assisted-Language-Learning (MALL) apps have been developed to enlarge students' vocabulary. However, few studies have discussed the potential to learn words deeply and productively. Therefore, this study evaluated the effectiveness of a mind mapping MALL app as an aid to assist northern Taiwan EFL participants in learning…
Descriptors: English (Second Language), Foreign Countries, Handheld Devices, Second Language Learning
Hsiu-Chen Hsu – Computer Assisted Language Learning, 2024
Previous studies on web-based collaborative writing have shown that task modality impacts peer interaction patterns and attention to form. However, these studies have primarily focused on contrasting a face-to-face oral condition with a text-based synchronous computer-mediated communication (SCMC) environment. Few studies have compared peer…
Descriptors: Peer Relationship, Attention, Electronic Learning, Asynchronous Communication
Chao-Jung Ko – Computer Assisted Language Learning, 2024
This study aimed to examine the impact of an online writing system (OWS) providing individualized corrective feedback (CF) on learners' self-correction of grammatical errors (GE). It consisted of two phases: the pilot and the formal phases. Four EFL (English as a Foreign Language) Taiwanese university students participated in the study at the…
Descriptors: Feedback (Response), English (Second Language), Second Language Learning, Grammar
Hsu, Liwei – Computer Assisted Language Learning, 2023
This study presents essential findings that would be advantageous to the designers and practitioners of Language Massive Open Online Courses (LMOOCs). It reveals the key elements that contribute to successful LMOOCs, and how they are influenced by English as a foreign language (EFL) learners' personal characteristics (gender, age, and opened to…
Descriptors: MOOCs, English (Second Language), Second Language Learning, Second Language Instruction
Chen, Ping-Ju – Computer Assisted Language Learning, 2023
As a primary form of communication in the global village, the importance of English writing cannot be emphasized enough. Most academic institutions regard training their students to write English effectively as a goal of the curriculum. Here in Taiwan is no exception to that; therefore, more and more colleges start to offer English writing courses…
Descriptors: Blended Learning, English (Second Language), Second Language Learning, College Students
Hsu, Liwei – Computer Assisted Language Learning, 2022
The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning