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Cristina Cunha-Perez; Miguel Arevalillo-Herraez; David Arnau – IEEE Transactions on Learning Technologies, 2024
This article introduces a set of teaching strategies to enhance second language learning for students with Down syndrome (DS) enrolled in an English course covering material from the first two years of primary school. A set of instructional support strategies has been defined and integrated into an online learning software, developed ad hoc to…
Descriptors: Teaching Methods, Second Language Instruction, Students with Disabilities, Down Syndrome
Andrew J. Wojcik; Alison King; Delanie Amend; Donna Gilles; Audrey Martin; Kristina Keithley; Chloe Weaver – Education and Training in Autism and Developmental Disabilities, 2024
The general education classroom is filled with academic vocabulary, and individuals with developmental disabilities benefit from explicit vocabulary instruction (Browder et al., 2008; Marzano, 2020; Smith et al., 2013). Picture-based alternative and augmentative communication (AAC) can encourage academic skills development (Ahlgrim-Dehzel et al.,…
Descriptors: Vocabulary Development, Augmentative and Alternative Communication, Students with Disabilities, Developmental Disabilities
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
Naccache, Hiba; Altae, Mayamin; Al-Own, Fatima Abdulla – Journal of Educational Technology Systems, 2023
This paper studies the effect of implementing a new Arabic language learning software Test Survey for Students (TSFS) developed by the researchers and marketed as brain training software for primary students on language skills using Science, Technology, Arts, and Mathematics (STEAM) subjects. The teaching of Arabic language via computer-assisted…
Descriptors: Computer Assisted Instruction, Native Language Instruction, Arabic, Computer Software
Casper J. D. Jensen; Teresa Cadierno – Language Learning Journal, 2024
The number of learners seeking to acquire an L2 by means of apps is ever-increasing. This study examined the effectiveness of using the app "Mondly" for the acquisition of L2 English vocabulary while accounting for differences in the acquisition of receptive and productive aspects of word knowledge. Twelve Danish young learners (aged…
Descriptors: Receptive Language, Expressive Language, Correlation, Computer Assisted Instruction
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
Laurie A. Coker – ProQuest LLC, 2022
This developmental research aims to: (1) examine the developmental processes of the application called MagicSpells, a haptically-enhanced, digital, vocabulary acquisition application design for learners with dyslexia, (2) investigate the structure and design of the application, and (3) analyze the results of the reviews and usability tests…
Descriptors: Educational Technology, Computer Software, Vocabulary Development, Dyslexia
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
Booton, Sophie A.; Hodgkiss, Alex; Murphy, Victoria A. – Computer Assisted Language Learning, 2023
Mobile touchscreen applications present new opportunities for children's language learning. This systematic review synthesizes the evidence on the impact of features of mobile applications on children's language learning. Experimental studies published from 2010 onwards with children aged 3 to 11 years old were included. Of the 1,081 studies…
Descriptors: Telecommunications, Handheld Devices, Second Language Instruction, Second Language Learning
Katasila, Phichitra; Poonpon, Kornwipa – English Language Teaching, 2022
The present study aimed to investigate the effects of blended learning instruction on vocabulary knowledge of Thai primary school students and students' perceptions toward learning vocabulary through blended learning instruction. A mixed-methods approach was used. Quantitatively, a single group pretest-posttest design was used to measure students'…
Descriptors: Blended Learning, Teaching Methods, Student Attitudes, Elementary School Students
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
Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
Stapleton, Paul – International Journal of Computer-Assisted Language Learning and Teaching, 2021
In the present study, two sets of scripts from primary school students were collected, one written in English and the other in their native Chinese on the same topic. The Chinese scripts were translated into English by Google Translate (GT) and compared with the scripts written in English. Sentences in the two sets of passages that were clearly…
Descriptors: Writing Instruction, Second Language Learning, English (Second Language), Second Language Instruction
Lin, Huang-Yao; Tsai, Shu-Chiao – Australasian Journal of Educational Technology, 2021
This study investigated the use of an augmented reality (AR) -supported application called STEMUP to develop mobile English courses on Android and iOS smartphones. It focused on vocabulary and listening and speaking skills, in an initial assessment of the effectiveness of implementing AR-based mobile English courses. The study was conducted with…
Descriptors: Student Attitudes, Undergraduate Students, Elementary School Students, Material Development