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Download full textNeda M. Maenza; Tijana Gajic – Research in Pedagogy, 2024
Innovative concepts coupled with cutting-edge digital advancements have ushered in a transformative era for English language learners worldwide. This research delves into the efficacy of the WordUp mobile application in facilitating the acquisition of new English vocabulary. The application has notably organized English words based on their…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Second Language Instruction
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
Direct linkGao, Ya; Pan, Lin – Language Learning Journal, 2023
Mobile-assisted language learning is a growing feature of contemporary language learning, and their distinct gamification design produces new and increasingly popular contexts for language learning. This paper explores the gamification features of the two most popular EFL vocabulary learning applications widely used by Asian learners --…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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
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
Qian Xu; Jennifer C. Richardson – Online Learning, 2024
Scholars indicated that learners who are strategic with their language learning (e.g., selfregulated learning [SRL], cognitive and meta-cognitive strategies) tend to be more efficient, resourceful, and flexible, and thus have better language learning outcomes (Oxford, 2016; Heo et al., 2012; Plonsky, 2011). Besides focusing on the knowledge,…
Descriptors: Metacognition, Learning Strategies, Outcomes of Education, Vocabulary Development
Knowles, Claire L. – L2 Journal, 2022
The increasing prevalence of students' use of Google Translate has been the catalyst for re-developing the language classroom. Through progressive adaptations, Google Translate has been integrated to help support meaningful language learning, academic rigor and intellectual curiosity. Five key steps form the foundation of the ADAPT approach:…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Computational Linguistics
Lai, Jung-Yu; Chang, Li-Ting – SAGE Open, 2021
The education community has gradually recognized the value of augmented reality (AR) technology and its positive impacts on student learning performance. Still, few studies have proposed specific solutions and results to confirm this phenomenon for first graders in English vocabulary learning. Hence, this research explores the effects of AR apps…
Descriptors: Grade 1, Elementary School Students, Computer Software, Computer Simulation
Zhang, Ruofei; Zou, Di; Xie, Haoran – Computer Assisted Language Learning, 2022
Spaced repetition has been widely implemented and examined in mobile-assisted word learning as an important learning strategy. However, the nature of spaced repetition by commercial word-learning apps and the factors leading to the favoured mobile-assisted spaced repetition have yet to be investigated in authentic contexts. In this study, we coded…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Ma. Mercedes T. Rodrigo; Jaclyn Ocumpaugh; Walfrido David Diy; Monica Moreno; Marco De Santos; Nigel Cargo; Jose Lacson; Daniel Santos; Danna Aduna; Jose Isidro Beraquit; Rex Bringula; Marie Rianne M. Caparros; Anne Tan Choi; Steve Ladan; Jaclyn Lim; Dominique Marie Antoinette Manahan; Jhoanna Michelle G. Paterno; Kristine Saturinas; Emily Tabanao; Christine Tablatin; Jo Torres; Kaska Porayska-Pomsta; Ibukun Olatunji; Rose Luckin – Computer-Based Learning in Context, 2019
Filipino learners' lack of English language proficiency is a major barrier to higher education opportunities and participation in high-value industries. Computer-based learning systems have the potential to increase educational quality, equity, and efficacy in the Global South. However, a key challenge is to design systems that are developmentally…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Computer Games
Al-Bogami, Basmah; Elyas, Tariq – SAGE Open, 2020
The use of iPad and other handheld devices in classrooms is spreading. Their use can empower learners and expose them to a plethora of resources. Yet, when it comes to learning a foreign language, reasonably little has been done to empirically ascertain the influence of iPad apps on facilitating language learning as well as engaging language…
Descriptors: Middle School Students, English (Second Language), Second Language Learning, Second Language Instruction
Bohannon, Fionuala; Thomas, Michael – International TESOL Journal, 2021
While the use of digital technologies is increasingly prominent in higher education, research suggests that adult English for Speakers of Other Languages (ESOL) learners within the English Further Education (FE) sector have fewer opportunities to access them as part of their language learning. This paper explores whether the use of authentic…
Descriptors: Content and Language Integrated Learning, English (Second Language), Second Language Learning, Second Language Instruction
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
Lin, Vivien; Barrett, Neil E.; Liu, Gi-Zen; Chen, Nian-Shing; Jong, Morris Siu-Yung – Computer Assisted Language Learning, 2023
The field of language education has experienced a rise in using virtual reality (VR) to support interactive, contextualized, and collaborative language learning in recent years. The current study investigates the effects of auditory, visual, and textual input on speaking and writing in English for Tourism Purposes (ETP) through immersive,…
Descriptors: Tourism, English for Special Purposes, Undergraduate Students, Computer Simulation
Ma, Xingxing; Yodkamlue, Butsakorn – PASAA: Journal of Language Teaching and Learning in Thailand, 2019
This study investigated the effects of a self-developed mobile app on Chinese university EFL learners' vocabulary learning and retention. Their perceptions of the mobile app were also explored. Data were collected using mixed methods. The results can be summarized as follow: firstly, the students using the mobile app could learn more words than…
Descriptors: Vocabulary Development, Computer Software, Asians, College Students
