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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)
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Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
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Chen, Sherry Y.; Tseng, Yu-Fen – Computer Assisted Language Learning, 2021
We developed the Scaffolding English E-assessment Learning (SEEL), where instant feedback and scaffolding hints were provided, to facilitate students to acquire the knowledge of English grammar. On the other hand, an empirical study was conducted to investigate how cognitive styles (i.e. Holists vs. Serialists) affected learners' reactions to the…
Descriptors: Scaffolding (Teaching Technique), Computer Assisted Testing, English (Second Language), Second Language Learning
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Mona Najjarpour; Esmaeel Ali Salimi – International Journal of Language Testing, 2024
While the potential of Dynamic Assessment (DA) and its variants (Computerized Dynamic Assessment (CDA) and Group Dynamic Assessment (GDA)) for EFL classrooms has been recognized, there is a lack of research on its practical implementation compared to the well-established field of Summative Assessment (SA). Thus, the objective of this qualitative…
Descriptors: Summative Evaluation, English (Second Language), Second Language Learning, Second Language Instruction
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Barno Sayfutdinovna Abdullaeva; Diyorjon Abdullaev; Feruza Abulkosimovna Rakhmatova; Laylo Djuraeva; Nigora Asqaraliyevna Sulaymonova; Zebo Fazliddinovna Shamsiddinova; Oynisa Khamraeva – Language Testing in Asia, 2024
Acquiring technological literacy and acceptance has a significant influence on academic emotion regulation (AER), academic resilience (AR), willingness to communicate (WTC), and academic enjoyment (AE), which are crucial for the success of university students. However, this area has not been adequately explored in research, particularly in the…
Descriptors: Technological Literacy, Emotional Response, Self Control, Resilience (Psychology)
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Qianru Li; Kan Kan Chan – Education and Information Technologies, 2024
Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)).…
Descriptors: Student Attitudes, Test Wiseness, Computer Assisted Testing, Handheld Devices
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Siyuan Shao – SAGE Open, 2023
After the outbreak of the COVID-19 pandemic, distance teaching brought on unforeseen challenges around the world, including classroom-based assessment practice. However, little attention has been paid to teachers' assessment practice and their identity as assessor in the new teaching situation. This study examines Chinese K-12 in-service EFL…
Descriptors: Kindergarten, Elementary Secondary Education, Computer Assisted Testing, Foreign Countries
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Kochem, Tim; Beck, Jeanne; Goodale, Erik – CALICO Journal, 2022
Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…
Descriptors: Computer Software, Teaching Methods, Audio Equipment, Computer Assisted Instruction
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Gandini, Elena A. M.; Horák, Tania – Language Learning in Higher Education, 2020
This contribution reports on the developing and piloting of a computer-based version of the test of English as a foreign language produced by the University of Central Lancashire (UCLan), where it is currently used for the admission of international students and the subsequent evaluation of their language progress. Among other benefits,…
Descriptors: Computer Assisted Testing, Feedback (Response), Foreign Countries, English (Second Language)
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Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
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Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)
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Daniels, Paul – TESL-EJ, 2022
This paper compares the speaking scores generated by two online systems that are designed to automatically grade student speech and provide personalized speaking feedback in an EFL context. The first system, "Speech Assessment for Moodle" ("SAM"), is an open-source solution developed by the author that makes use of Google's…
Descriptors: Speech Communication, Auditory Perception, Computer Uses in Education, Computer Assisted Testing
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Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
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Nicholas, Allan; Blake, John; Mozgovoy, Maxim – Research-publishing.net, 2021
Email remains a key mode of communication between faculty and students in higher education institutions. Composing appropriate email texts is an important skill for learners; however, little technological support is available for the pragmatic aspect of email communication -- the ways in which social context influences language choices.…
Descriptors: Electronic Mail, Second Language Learning, Second Language Instruction, English (Second Language)
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Mohammadi, Mojtaba; Zarrabi, Maryam; Kamali, Jaber – International Journal of Language Testing, 2023
With the incremental integration of technology in writing assessment, technology-generated feedback has found its way to take further steps toward replacing human corrective feedback and rating. Yet, further investigation is deemed necessary regarding its potential use either as a supplement to or replacement for human feedback. This study aims to…
Descriptors: Formative Evaluation, Writing Evaluation, Feedback (Response), Computer Assisted Testing
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