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Zhang, Xiaopeng; Mai, Chunping – Language Teaching Research, 2023
This article reports on two studies, testing how three different types of input (skewed first, skewed random and balanced) affect second language (L2) learning of English present counterfactual (IF-Is) and past counterfactual (IF-IIs) conditionals, two constructions differing in complexity. The experiment included a proficiency test, a pretest, a…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, English (Second Language)
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Takahiro Terao – Applied Measurement in Education, 2024
This study aimed to compare item characteristics and response time between stimulus conditions in computer-delivered listening tests. Listening materials had three variants: regular videos, frame-by-frame videos, and only audios without visuals. Participants were 228 Japanese high school students who were requested to complete one of nine…
Descriptors: Computer Assisted Testing, Audiovisual Aids, Reaction Time, High School Students
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Kaveh Jalilzadeh; Mojgan Rashtchi; Fatemeh Mirzapour – Language Testing in Asia, 2024
A challenging aspect of online education is assessment since academic integrity could be violated due to students' cheating behaviors. The current qualitative research investigated English teachers' perceptions of why students cheat in online assessments. Besides, it attempted to find strategies to reduce cheating in online assessments. Twelve…
Descriptors: Cheating, Computer Assisted Testing, Coping, English (Second Language)
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Seyed Mohammad Reza Amirian; Fatemeh Malek Abbasi; Moslem Zolfagharkhani – International Journal of Language Testing, 2023
As a result of the advent of the COVID-19 outbreak, online assessments are being implemented in universities and schools worldwide. Nevertheless, regardless of the extensive use of online assessments, many researchers have proposed several barriers to the effective application of this form of examination in different language learning contexts. A…
Descriptors: English (Second Language), Second Language Instruction, Computer Assisted Testing, COVID-19
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
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Wolf, Mikyung Kim; Yoo, Hanwook; Guzman-Orth, Danielle; Abedi, Jamal – Educational Assessment, 2022
Implementing a randomized controlled trial design, the present study investigated the effects of two types of accommodations, linguistic modification and a glossary, for English learners (ELs) taking a computer-based mathematics assessment. Process data including response time and clicks on glossary words were also examined to better interpret…
Descriptors: Testing Accommodations, English Language Learners, Computer Assisted Testing, Mathematics Tests
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Solano-Flores, Guillermo; Shyyan, Vitaliy; Chía, Magda; Kachchaf, Rachel – International Multilingual Research Journal, 2023
We examined semiotic exchangeability in pop-up glossary translations and illustrations used as supports for second language learners (SLLs) in computer-administered mathematics tests. In a sample of 516 mathematics items, Grades 3-8 and 11, from a large-scale assessment program in the US, test developers identified terms that could be translated…
Descriptors: Mathematics Tests, Testing Accommodations, Test Items, Semiotics
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Handrayani, Dina – International Society for Technology, Education, and Science, 2022
Assessment is an essential activity in learning and teaching. It is classified into two categories based on its function: summative and formative assessments. During the pandemic, school learning activities, such as assessment, have been altered into online learning, which is quite challenging to carry out. This study investigated the kinds of…
Descriptors: Student Evaluation, Computer Assisted Testing, Summative Evaluation, Formative Evaluation
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Abedi, Jamal; Zhang, Yu; Rowe, Susan E.; Lee, Hansol – Educational Measurement: Issues and Practice, 2020
Research indicates that the performance-gap between English Language Learners (ELLs) and their non-ELL peers is partly due to ELLs' difficulty in understanding assessment language. Accommodations have been shown to narrow this performance-gap, but many accommodations studies have not used a randomized design and are based on relatively small…
Descriptors: English Language Learners, Achievement Gap, Mathematics Tests, Standards
Indiana Department of Education, 2024
The Indiana Department of Education's (IDOE's) Accessibility and Accommodations Information for Statewide Assessments is intended for school-level personnel and decision-making teams as they prepare for and implement Indiana statewide assessments. Information is provided for school personnel as a reference to inform guidance on universal features,…
Descriptors: Standardized Tests, Testing Accommodations, Computer Assisted Testing, Students with Disabilities
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Yao, Don – English Language Teaching, 2020
Computer-based test (CBT) and paper-based test (PBT) are two test modes to the test takers that have been widely adopted in the field of language testing or assessment over the last few decades. Due to the rapid development of science and technology, it is a trend for universities and educational institutions striving rather hard to deliver the…
Descriptors: Language Tests, Computer Assisted Testing, Test Format, Comparative Analysis
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Clark, Tony; Endres, Heidi – Assessment in Education: Principles, Policy & Practice, 2021
An effective diagnostic test can play a key role in language learning, allowing strengths and weaknesses in students' linguistic development to be identified and addressed. This paper describes the online Cambridge English diagnostic test, assessing English grammatical knowledge at A2 level. As most language tests focus on proficiency or…
Descriptors: Diagnostic Tests, High School Students, Computer Assisted Testing, Grammar
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Linlin, Cao – English Language Teaching, 2020
Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
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Kozulin, Alex; Levi, Tziona – Journal of Cognitive Education and Psychology, 2018
Little attention has been paid to the question about generality versus modularity of the learning potential (LP). The main research question of our study was: Is the students' LP established with the help of a dynamic assessment of their English as a foreign language (EFL) oral proficiency general enough to predict their subsequent EFL reading and…
Descriptors: English (Second Language), Second Language Learning, Language Proficiency, Oral Language
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Rupp, André A.; Casabianca, Jodi M.; Krüger, Maleika; Keller, Stefan; Köller, Olaf – ETS Research Report Series, 2019
In this research report, we describe the design and empirical findings for a large-scale study of essay writing ability with approximately 2,500 high school students in Germany and Switzerland on the basis of 2 tasks with 2 associated prompts, each from a standardized writing assessment whose scoring involved both human and automated components.…
Descriptors: Automation, Foreign Countries, English (Second Language), Language Tests
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