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Matthew D. Coss – Language Learning & Technology, 2025
The extent to which writing modality (i.e., hand-writing vs. keyboarding) impacts second-language (L2) writing assessment scores remains unclear. For alphabetic languages like English, research shows mixed results, documenting both equivalent and divergent scores between typed and handwritten tests (e.g., Barkaoui & Knouzi, 2018). However, for…
Descriptors: Computer Assisted Testing, Paper and Pencil Tests, Second Language Learning, Chinese
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
Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
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
Neha Biju; Nasser Said Gomaa Abdelrasheed; Khilola Bakiyeva; K. D. V. Prasad; Biruk Jember – Language Testing in Asia, 2024
In recent years, language practitioners have paid increasing attention to artificial intelligence (AI)'s role in language programs. This study investigated the impact of AI-assisted language assessment on L2 learners' foreign language anxiety (FLA), attitudes, motivation, and writing skills. The study adopted a sequential exploratory mixed-methods…
Descriptors: Artificial Intelligence, Computer Software, Computer Assisted Testing, Second Language Instruction
Omid S. Kalantar – International Journal of Language Testing, 2024
This study sought to identify the challenges and needs of TOEFL iBT candidates in achieving C1 level scores in the speaking and writing sections of the exam. To this end, the researcher employed a mixed-method approach to collect data from a population of 46 students, both male and female, between the ages of 22 and 30. The participants were…
Descriptors: Language Tests, Scores, Native Language, Grammar
Bateson, Gordon – International Journal of Computer-Assisted Language Learning and Teaching, 2021
As a result of the Japanese Ministry of Education's recent edict that students' written and spoken English should be assessed in university entrance exams, there is an urgent need for tools to help teachers and students prepare for these exams. Although some commercial tools already exist, they are generally expensive and inflexible. To address…
Descriptors: Test Construction, Computer Assisted Testing, Internet, Writing Tests
Soohye Yeom – ProQuest LLC, 2023
With the wide introduction of English-medium instruction (EMI) to higher education institutions throughout East Asian countries, many East Asian universities are using English proficiency tests that were not originally designed for this context to make admissions and placement decisions. To support the use of these tests in this new EMI context,…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Writing Tests
Alemi, Minoo; Miri, Mola; Mozafarnezhad, Alemeh – International Journal of Language Testing, 2019
Although group dynamic assessment (GDA) has been gaining attention over the recent decade, its applicability in online context has been left rather underexplored. Hence, the current study examined the effects of GDA on developing EFL learners' written grammatical accuracy in the online context of 'Telegram'. To this aim, 60 Iranian EFL students…
Descriptors: Alternative Assessment, Group Testing, English (Second Language), Second Language Learning
Sari, Elif; Han, Turgay – Reading Matrix: An International Online Journal, 2021
Providing both effective feedback applications and reliable assessment practices are two central issues in ESL/EFL writing instruction contexts. Giving individual feedback is very difficult in crowded classes as it requires a great amount of time and effort for instructors. Moreover, instructors likely employ inconsistent assessment procedures,…
Descriptors: Automation, Writing Evaluation, Artificial Intelligence, Natural Language Processing
Nazerian, Samaneh; Abbasian, Gholam-Reza; Mohseni, Ahmad – Cogent Education, 2021
Despite growing interest in the studies on Zone of Proximal Development (ZPD), its operation in the forms of individualized and group-wide has been controversial. To cast some empirical light on the issue, this study was designed to study the applicability of the two scenarios of ZPD-based instructions to the writing accuracy of two levels of…
Descriptors: Sociocultural Patterns, Second Language Learning, Second Language Instruction, English (Second Language)
Yao, Lili; Haberman, Shelby J.; Zhang, Mo – ETS Research Report Series, 2019
Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…
Descriptors: Prediction, True Scores, Computer Assisted Testing, Scoring
Kyle, Kristopher; Choe, Ann Tai; Eguchi, Masaki; LaFlair, Geoff; Ziegler, Nicole – ETS Research Report Series, 2021
A key piece of a validity argument for a language assessment tool is clear overlap between assessment tasks and the target language use (TLU) domain (i.e., the domain description inference). The TOEFL 2000 Spoken and Written Academic Language (T2K-SWAL) corpus, which represents a variety of academic registers and disciplines in traditional…
Descriptors: Comparative Analysis, Second Language Learning, English (Second Language), Language Tests
Learners' Attitudes toward Using Dynamic Assessment in Teaching and Assessing IELTS Writing Task One
Babamoradi, Parvin; Nasiri, Mahdi; Mohammadi, Elham – International Journal of Language Testing, 2018
Regarding the importance and complexity of writing among the EFL language learners, this study explored the learners' attitudes toward teaching and testing writing through Computerized Dynamic Assessment (CDA). The participants of this study were 22 Iranian upper-intermediate EFL learners. All the participants were adults and participated in this…
Descriptors: Foreign Countries, Student Attitudes, Alternative Assessment, English (Second Language)
Plakans, Lia; Gebril, Atta; Bilki, Zeynep – Language Testing, 2019
The present study investigates integrated writing assessment performances with regard to the linguistic features of complexity, accuracy, and fluency (CAF). Given the increasing presence of integrated tasks in large-scale and classroom assessments, validity evidence is needed for the claim that their scores reflect targeted language abilities.…
Descriptors: Accuracy, Language Tests, Scores, Writing Evaluation

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