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Yanping Geng; Reem Alshahrani; Hana Mohammed Mujlid – European Journal of Education, 2025
The Fuzzy Analytic Hierarchy Process (FAHP) was employed to evaluate and rank language-learning applications based on criteria such as engagement, interactivity, feedback, content quality and usability. A pairwise comparison matrix was constructed, fuzzy logic was applied to convert qualitative judgements into numerical values, and these values…
Descriptors: Second Language Learning, Social Media, Handheld Devices, Computer Software
Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
Aysel Sahin Kizil; Blanka Klimova; Marcel Pikhart; Antigoni Parmaxi – Journal of Computer Assisted Learning, 2025
Background: The rise of intelligent chatbots powered by artificial intelligence and machine learning has ignited interest in their potential for revolutionising second language (L2) acquisition and foreign language learning (FLL). While their potential seems vast, understanding their actual impact on learning outcomes requires comprehensive…
Descriptors: Educational Research, Artificial Intelligence, Computer Software, Synchronous Communication
Mimi Li – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This paper discusses the increasingly prominent role of ChatGPT in providing feedback and assessment for L2 writing in the digital age. It reviews representative studies that address five research strands about the use of ChatGPT in L2 writing contexts. After a critical evaluation of the existing literature, the author extensively explains four…
Descriptors: Second Language Learning, Feedback (Response), Evaluation, Artificial Intelligence
Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
Barrot, Jessie Saraza – RELC Journal: A Journal of Language Teaching and Research, 2022
Given the recent technological advancements and the critical role that grammar plays in students' writing development, several digital tools that provide computer-mediated corrective feedback have emerged. One such tool is Grammarly, which identifies duplicate content and errors in grammar, vocabulary, mechanics, and language style. This tech…
Descriptors: English (Second Language), Second Language Learning, Computer Software, Grammar
Chin-Hsi Lin; Keyi Zhou; Shiyun Yang; Zhong Sun – Interactive Learning Environments, 2023
Mobile technology is one of the most important approaches to facilitating vocabulary learning. However, despite an increasing use of mobile devices for this purpose, there is currently no dedicated evaluation framework to examine whether the vocabulary-learning applications on the market are well designed. Building on prior research from the…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
Jacqueline Zammit – Technology in Language Teaching & Learning, 2024
The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Learning
Karim Ibrahim; Robert Kirkpatrick – International Review of Research in Open and Distributed Learning, 2024
The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
Orit Zeevy Solovey – Technology in Language Teaching & Learning, 2024
The effectiveness of providing Written Corrective Feedback (WCF) in English as a Foreign Language (EFL) classrooms to enhance students' general writing skills has been well-established. With the advent of various feedback modes in modern classrooms, this pilot study aimed to explore EFL students' perceptions and preferences regarding the…
Descriptors: Peer Evaluation, Feedback (Response), Artificial Intelligence, Synchronous Communication
Miguel Blázquez-Carretero – ReCALL, 2023
In 2016, Lawley proposed an easy-to-build spellchecker specifically designed to help second language (L2) learners in their writing process by facilitating self-correction. The aim was to overcome the disadvantages to L2 learners posed by generic spellcheckers (GSC), such as that embedded in Microsoft Word. Drawbacks include autocorrection,…
Descriptors: Second Language Learning, Spanish, Spelling, Error Correction
Hanne Roothooft; Amparo Lázaro-Ibarrola; Bram Bulté – Language Teaching Research, 2025
Second language (L2) writing research has demonstrated that young learners discuss linguistic issues, make use of feedback, and show a generally positive disposition toward writing tasks. However, many issues deserve further investigation. Regarding task implementation, few studies have been conducted with young learners writing individually, and…
Descriptors: Error Correction, Feedback (Response), Accuracy, Writing Instruction
Bo Wang; Shulin Yu; Yao Zheng; Timothy Teo – Language Teaching Research, 2025
While previous research has investigated teacher oral feedback practices and their influences on student learning, little research has examined how students interpret and engage with teacher feedback, which is critical to the feedback effectiveness and the success of learning and performance. According to Ellis, student engagement is clearly…
Descriptors: Oral Language, English (Second Language), Second Language Learning, Second Language Instruction
Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
Waluyo, Budi; Apridayani, Aisah; Arsyad, Safnil – TESL-EJ, 2023
"Writeabout" is a web-based application specialized in writing that enables the implementation of synchronous and asynchronous formative writing tasks and the provision of written and oral feedback. Nonetheless, empirical research on the effects of this software on students' learning outcomes is extremely scarce. Thus, this study…
Descriptors: Computer Software, Writing (Composition), Feedback (Response), English (Second Language)