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Sequeira Cesar de Oliveira, Juliana – ProQuest LLC, 2023
The present study sought to evaluate trial designs and training designs that are commonly used in popular commercially available computer-assisted language-learning (CALL) programs. The first two experiments (Experiment 1a and 1b) compared the effects of passive viewing and active student response methods in vocabulary learning. Contingencies on…
Descriptors: Computer Assisted Instruction, Teaching Methods, Computer Software, Vocabulary Development
Jodi M. Tommerdahl; Chrystal Sapphire Dragonflame; Amanda A. Olsen – Computer Assisted Language Learning, 2024
A systematic review examining the efficacy of commercially available foreign language-learning apps (FLL) was completed. A database search of ERIC, PsychINFO, and LearnTechLib produced 1,786 journal articles. After applying specific inclusion and exclusion criteria based on Burston's seminal study (2015) requiring a minimum number of 10…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Satoru Uchida – Vocabulary Learning and Instruction, 2025
Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
Damar Isti Pratiwi; Sri Wuli Fitriati; Issy Yuliasri; Budi Waluyo – Asian-Pacific Journal of Second and Foreign Language Education, 2024
While gamified technology integration in vocabulary instruction within a flipped classroom has yielded beneficial teaching outcomes, specific studies have raised concerns about potential adverse effects linked to this approach. As a result, conducting a comparative analysis between gamified technology and conventional paper-based methods within…
Descriptors: Teaching Methods, Vocabulary Development, Game Based Learning, Comparative Analysis
Liu, Pei-Lin; Chen, Chiu-Jung – Educational Technology & Society, 2023
This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…
Descriptors: Translation, Artificial Intelligence, Computational Linguistics, Computer Software
Haya Shamir; Erik Yoder; David Pocklington – Online Submission, 2023
Identifying effective means of ameliorating achievement gaps and addressing literacy deficits is essential. Computer-assisted instruction (CAI) is one avenue for providing this effective instruction to the students that can most benefit from it. In the current study, kindergarten students in a public school district in Illinois received…
Descriptors: Teaching Methods, Literacy Education, Computer Assisted Instruction, Achievement Gap
Ali Al Ghaithi; Behnam Behforouz; Hassan Isyaku – Turkish Online Journal of Distance Education, 2024
This study tried to design a WhatsApp bot to be implemented in English language vocabulary learning context in Oman. 150 Omani English as a Foreign Language (EFL) students from three different proficiency levels were selected based on random sampling. To measure the effectiveness of the treatment, pretests, posttests, and delayed posttests were…
Descriptors: Computer Software, Teaching Methods, Computer Assisted Instruction, Student Attitudes
Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Melek Sapan; Levent Uzun – International Journal of Education in Mathematics, Science and Technology, 2024
Artificial intelligence (AI) has gained importance and popularity in education recently. As an AI-based chatbot, ChatGPT has attracted the attention of educators and researchers from different fields, as well. The present study aims to explore the effect of ChatGPT-integrated English lessons on the 10th grade Turkish EFL learners' writing skill…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Mehmet Aslan; Birsen Tütünis – Journal of Theoretical Educational Science, 2024
The study's objective is to examine the effects of Blended Mobile Learning (BML) on the vocabulary development of EFL preparatory students and their views of BML. As a mixed method study, it was conducted with 40 preparatory students at a state university in Turkey. While the control group studied vocabulary by reading texts only in the classroom…
Descriptors: Blended Learning, Telecommunications, Handheld Devices, Comparative Analysis
Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
Kamran Janfeshan; Asmaa Nader Sharhan; Mohamad Mahdi Janfeshan – International Review of Research in Open and Distributed Learning, 2023
The current study was planned to find out if the use of blended learning as a combination of face-to-face instruction and mobile-assisted language learning using WhatsApp contributed to the vocabulary learning and autonomy of Iranian EFL learners compared to the traditional method. To assess their English skills, PET was given to 80 homogenous…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development
Jeon, Jaeho – Computer Assisted Language Learning, 2023
This study investigated the effect of Chatbot-Assisted Dynamic Assessment (CA-DA) on vocabulary learning and provided insights into learner abilities drawn from its implementation. Through the use of mediating chatbots, this study implemented DA to multiple learners simultaneously and provided each learner with human-like interaction. The chatbots…
Descriptors: Elementary School Students, Vocabulary Development, Technology Uses in Education, Man Machine Systems