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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
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)
Xiaoqin Shi; Xiaoqing Wang; Wei Zhang – Language Testing in Asia, 2024
Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Scoring
Chen, Huimei; Pan, Jie – Asian-Pacific Journal of Second and Foreign Language Education, 2022
The role of internet technology in higher education and particularly in teaching English as a Foreign language is increasingly prominent because of the interest in the ways in which technology can be applied to support students. The automated evaluation scoring system is a typical demonstration of the application of network technology in the…
Descriptors: Comparative Analysis, Automation, Scoring, Feedback (Response)
Mine Özçelik; Zekerya Batur – International Journal of Education and Literacy Studies, 2023
The present study aimed to determine whether using culture-themed documentaries in Turkish teaching of B2 level international students has effects on the development of guided writing skills. The study had an action-research design, which is one of the qualitative study approaches. The study group consisted of 12 international students at the B2…
Descriptors: Writing Skills, Writing Instruction, Turkish, Second Language Learning
Sarac, Merve; Loken, Eric – International Journal of Testing, 2023
This study is an exploratory analysis of examinee behavior in a large-scale language proficiency test. Despite a number-right scoring system with no penalty for guessing, we found that 16% of examinees omitted at least one answer and that women were more likely than men to omit answers. Item-response theory analyses treating the omitted responses…
Descriptors: English (Second Language), Language Proficiency, Language Tests, Second Language Learning
Yuko Hayashi; Yusuke Kondo; Yutaka Ishii – Innovation in Language Learning and Teaching, 2024
Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Japanese
Polat, Murat; Turhan, Nihan Sölpük – International Journal of Curriculum and Instruction, 2021
Scoring language learners' speaking skills is open to a number of measurement errors since raters' personal judgements could involve in the process. Different grading designs in which raters score a student's whole speaking skills or a specific dimension of the speaking performance could be settled to control and minimize the amount of the error…
Descriptors: Language Tests, Scoring, Speech Communication, State Universities
Biju Theruvil Sayed; Zein Bassam Bani Younes; Ahmad Alkhayyat; Iroda Adhamova; Habesha Teferi – Language Testing in Asia, 2024
There has been a surge in employing artificial intelligence (AI) in all areas of language pedagogy, not the least among them language testing and assessment. This study investigated the effects of AI-powered tools on English as a Foreign Language (EFL) learners' speaking skills, psychological well-being, autonomy, and academic buoyancy. Using a…
Descriptors: Artificial Intelligence, Language Tests, Success, Speech Skills
Önen, Emine; Yayvak, Melike Kübra Tasdelen – Journal of Education and Training Studies, 2019
In this study, it was aimed to examine the interrater reliability of the scoring of paragraph writing skills on foreign languages with the measurement invariance tests. The study group consists of 267 students studying English at the Preparatory School at Gazi University. In the study, where students write a paragraph on the same topic, the…
Descriptors: Second Language Learning, Second Language Instruction, Factor Analysis, English (Second Language)
Stuart McLean; Paul Raine; Geoffrey Pinchbeck; Laura Huston; Young Ae Kim; Suzuka Nishiyama; Shotaro Ueno – Vocabulary Learning and Instruction, 2021
Vocableveltest.org is a testing platform on which users can create on- line self-marking meaning-recall (reading or listening) and form-recall (typing) tests that address a number of limitations of the existing vocabulary level tests and vocabulary size tests. A major limitation of many existing vocabulary tests is the written receptive…
Descriptors: Accuracy, Automation, Scoring, Writing (Composition)
Qin, Tianyu; Zhang, Jie – Journal of Cognitive Education and Psychology, 2018
Dynamic assessment (DA) has been implemented to diagnose language-related issues and to promote second language (L2) learners' development through intervention (Poehner, 2008). The goal is to evaluate not only what a learner can do on his or her own but also how far he or she can go with instructional intervention. Recently, scholars have…
Descriptors: Student Evaluation, Computer Assisted Testing, Second Language Learning, College Students
Wind, Attila M.; Zólyomi, Anna – Language Learning in Higher Education, 2022
Although several studies have investigated the self-assessment (SA) of writing skills, most research has adopted a cross-sectional research design. Consequently, our knowledge about the longitudinal development of SA is limited. This study investigated whether SA instruction leads to improvement in SA accuracy and in second language (L2) writing.…
Descriptors: Self Evaluation (Individuals), Writing Skills, Second Language Learning, Second Language Instruction
He, Tung-hsien – SAGE Open, 2019
This study employed a mixed-design approach and the Many-Facet Rasch Measurement (MFRM) framework to investigate whether rater bias occurred between the onscreen scoring (OSS) mode and the paper-based scoring (PBS) mode. Nine human raters analytically marked scanned scripts and paper scripts using a six-category (i.e., six-criterion) rating…
Descriptors: Computer Assisted Testing, Scoring, Item Response Theory, Essays
Mehri Kamrood, Ali; Davoudi, Mohammad; Ghaniabadi, Saeed; Amirian, Seyyed Mohammad Reza – Computer Assisted Language Learning, 2021
Dynamic Assessment (DA) is proposed as a workable diagnostic tool in second or foreign language context. Compared to traditional non-dynamic testing, DA presents a more comprehensive account of human beings' abilities through addressing both the fully internalized abilities and the abilities that are in the process of being internalized. However,…
Descriptors: Language Tests, Computer Assisted Testing, Second Language Learning, Second Language Instruction