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Makiko Kato – Journal of Education and Learning, 2025
This study aims to examine whether differences exist in the factors influencing the difficulty of scoring English summaries and determining scores based on the raters' attributes, and to collect candid opinions, considerations, and tentative suggestions for future improvements to the analytic rubric of summary writing for English learners. In this…
Descriptors: Writing Evaluation, Scoring, Writing Skills, English (Second Language)
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Bamdev, Pakhi; Grover, Manraj Singh; Singla, Yaman Kumar; Vafaee, Payman; Hama, Mika; Shah, Rajiv Ratn – International Journal of Artificial Intelligence in Education, 2023
English proficiency assessments have become a necessary metric for filtering and selecting prospective candidates for both academia and industry. With the rise in demand for such assessments, it has become increasingly necessary to have the automated human-interpretable results to prevent inconsistencies and ensure meaningful feedback to the…
Descriptors: Language Proficiency, Automation, Scoring, Speech Tests
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Gong, Kaixuan – Asian-Pacific Journal of Second and Foreign Language Education, 2023
The extensive use of automated speech scoring in large-scale speaking assessment can be revolutionary not only to test design and rating, but also to the learning and instruction of speaking based on how students and teachers perceive and react to this technology. However, its washback remained underexplored. This mixed-method study aimed to…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Automation
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Amira Desouky Ali – International Journal of Training and Development, 2024
Stakeholders in exam-driven countries are responsible for developing test-related tasks to assess the quality of English as a Foreign Language (EFL) teaching and learning. Hence, the language assessment literacy (LAL) of different stakeholders has to be investigated. This mixed-methods study explored the required LAL competencies among two groups…
Descriptors: Language Tests, Assessment Literacy, Second Language Learning, English (Second Language)
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McCarthy, Mark D.; Domke, Lisa M.; Bian, Yue – Journal of Literacy Research, 2023
We believe that is culturally situated. In this conceptual article, we problematize some of the phrasing used for prosody indicators and explore how three of the most spoken languages in the United States (other than English) enact aspects of prosody when reading. We probe potential linguistic and sociocultural implications and contribute to the…
Descriptors: Multilingualism, Reading Tests, Suprasegmentals, Reading Fluency
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Shuai Li; Xian Li; Yali Feng; Ting Wen – Educational Linguistics, 2023
This chapter reports on a study investigating non-expert raters' scoring behavior and cognitive processes involved in evaluating speech acts and pragmatic routines in L2 Chinese. Pragmatic production data were collected from 51 American learners of Chinese, who completed a 12-item oral Discourse Completion Test (DCT). The learners were divided…
Descriptors: Scoring, Cognitive Processes, Speech Acts, Pragmatics
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Yuehai Xiao; Angel Zhao – European Journal of Psychology of Education, 2025
Some previous researchers attempted to bridge the gap between two bodies of research: the role of metacognitive knowledge in second language (L2) writing and L2 collaborative writing (CW). Although recent studies unveiled the positive impacts of learners' metacognitive knowledge on L2 collaborative writing, there is not yet consensus regarding the…
Descriptors: Metacognition, Second Language Instruction, Second Language Learning, Collaborative Writing
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Zoe L. Handley; Haiping Wang – Language Assessment Quarterly, 2024
This paper explores what the measures of utterance fluency typically employed in Automatic Speech Evaluation (ASE), i.e. automated speaking assessments, tell us about oral proficiency. 60 Chinese learners of English completed the second part of the speaking section of IELTS and six tasks designed to measure the linguistic knowledge and processing…
Descriptors: Foreign Countries, Speech Evaluation, Graduate Students, Articulation (Speech)
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Chen, Binbin; Bao, Lina; Zhang, Rui; Zhang, Jingyu; Liu, Feng; Wang, Shuai; Li, Mingjiang – Journal of Educational Computing Research, 2024
Language learning has increasingly benefited from Computer-Assisted Language Learning (CALL) technologies, especially with Artificial Intelligence involved in recent years. CALL in writing learning acknowledged as the core of language learning is being realized by technologies like Automated Writing Evaluation (AWE), and Automated Essay Scoring…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Learning, Writing Instruction
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Teguh Budiharso; Imroatus Solikhah; Samsu Armadi; Rano Wandana – Novitas-ROYAL (Research on Youth and Language), 2024
This research uses Bloom's taxonomy in English-language writing and speaking skills assessment rubrics. A descriptive qualitative research method was adopted, and data were collected through observations, interviews, and English major students' course grades. Five lecturers and 25 students participated in the research, and the findings revealed…
Descriptors: Taxonomy, Scoring Rubrics, Evaluation Methods, Writing Evaluation
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Tom Neuschafer – Journal of Educators Online, 2024
Duolingo has been collecting feedback from education users for the past seven years in order to make the app useful as a classroom tool, in addition to its ongoing use in informal learning settings. To understand teachers' experiences about Duolingo for classroom and to understand further measures recommended to strengthen the platform for…
Descriptors: Second Language Learning, Handheld Devices, Teaching Experience, Teacher Attitudes
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Xinming Chen; Ziqian Zhou; Malila Prado – International Journal of Assessment Tools in Education, 2025
This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
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Lucia Fraga-Viñas; Maria Bobadilla-Pérez – MEXTESOL Journal, 2025
The upsurge of ICT media and hybrid modalities for learning that stemmed from the world health crisis seem to be destined to stay. In this new paradigm, self-assessment processes have acquired an even more relevant role in the teaching learning process than they already had. Due to the myriad of academic online resources and information at their…
Descriptors: Student Evaluation, Self Evaluation (Individuals), Evaluation Methods, Scoring Rubrics
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Almusharraf, Norah; Alotaibi, Hind – Technology, Knowledge and Learning, 2023
Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…
Descriptors: Writing Evaluation, Writing Tests, Essay Tests, Essays
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Aek Phakiti; Adam Steinhoff – Language Teaching Research Quarterly, 2023
Classroom language assessment aims to gather various types of information related to student language learning and use and use it to inform a range of formative-summative decisions, including how to provide feedback to help students improve their learning efficacy, what teaching adjustments are needed, and whether students have demonstrated their…
Descriptors: Language Tests, Student Evaluation, Language Teachers, Preservice Teachers
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