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Khaled ElEbyary; Ramy Shabara – Teaching English with Technology, 2024
Although some published studies have challenged the importance and efficacy of written corrective feedback (WCF), ESL/EFL tutors continue to value its practice and provide WCF to their students in spite of their time and workload constraints. The development of various automated-feedback applications over the last few years contributed to our…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Feedback (Response)
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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
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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
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Heon Jeon; Sarah DeCapua – Journal of Response to Writing, 2024
Giving feedback to student writing is one of the writing teacher's most important tasks in the classroom. Writing teachers can use many forms of feedback, such as written feedback, teacher-student conferencing, peer feedback, or self-assessment. Additionally, the influx of technologies into writing classrooms allows teachers to use screencast…
Descriptors: Feedback (Response), Video Technology, Technology Uses in Education, Visual Aids
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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
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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
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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
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Elsayed Issa; Gus Hahn-Powell – Language Learning & Technology, 2025
This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…
Descriptors: Grammar, Computer Assisted Instruction, Arabic, Second Language Instruction
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Dillon, Thomas; Wells, Donald – English Teaching, 2023
This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not…
Descriptors: Pronunciation, English (Second Language), Second Language Instruction, English Language Learners
Javier Muñoz-Basols, Editor; Mara Fuertes Gutiérrez, Editor; Luis Cerezo, Editor – Multilingual Matters, 2025
This volume offers a rich overview of current research and teaching strategies for the integration of technology into language teaching and learning. It introduces the Planning, Personalization and Implementation (PPI) methodological framework to support educators in engaging with the theoretical foundations and innovative practices that should…
Descriptors: Social Media, Artificial Intelligence, Second Language Instruction, Second Language Learning
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Ainunazli Abdul Rahman; Noor Raha Mohd Radzuan; Ezihaslinda Ngah – International Journal of Research in Education and Science, 2025
This purposive sampling, quantitative study employed the Model of Student's Motivation framework to explore the impact of the TikTok application on enhancing students' speaking abilities. It involved four classes of mixed-ability one-year programme (PST) students, 2023/2024 Session at Pahang Matriculation College, Malaysia divided into two main…
Descriptors: Social Media, Teaching Methods, Student Motivation, Computer Software
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Imelda Gozali; Alberik Ryan Tendy Wijaya; Anita Lie; Bambang Yudi Cahyono; Nunung Suryati – JALT CALL Journal, 2024
This study examines the use of ChatGPT, in conjunction with other applications, Grammarly and Quillbot, as an automated writing evaluation (AWE) tool in a Recount and Narrative essay course for 18 English as a Foreign Language (EFL) students in Indonesia. The primary objective was to investigate the impact of these tools on the development of…
Descriptors: Artificial Intelligence, Computer Software, Feedback (Response), Teaching Methods
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Montri Tangpijaikul – LEARN Journal: Language Education and Acquisition Research Network, 2025
Despite the significant impact of the lexical approach for vocabulary learning, its classroom implementation has not been uniform. While related activities share the common Observe-Hypothesize-Experiment (OHE) elements, practitioners and researchers do not highlight how language input from the observing stage is turned into output and at what…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Ebadi, Saman; Gholami, Mina; Vakili, Shokoufeh – Computers in the Schools, 2023
Online grammar checkers have increasingly been used in writing instruction to detect and remove English as a foreign language (EFL) learners' grammatical errors. This study investigated the effects of the automated writing evaluation software "Grammarly" on Iranian EFL learners' article errors which are common in EFL writing. Ninety…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
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Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
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