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Boxuan Ma; Sora Fukui; Yuji Ando; Shinichi Konomi – Journal of Educational Data Mining, 2024
Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…
Descriptors: Language Proficiency, Brain Hemisphere Functions, Language Processing, Task Analysis
Bin Zou; Sitian Xie; Chenghao Wang – International Journal of Information and Communication Technology Education, 2025
Willingness to Communicate (WTC) plays a crucial role in developing students' speaking proficiency in English as a Foreign Language (EFL) learning. This study investigates whether students' in-class WTC can be enhanced through an AI-supported program and explores their perceptions of using the AI for future academic speaking development. A…
Descriptors: Artificial Intelligence, Computer Software, Speech Communication, Classroom Communication
Mohammed, Aisha; Dawood, Abdul Kareem Shareef; Alghazali, Tawfeeq; Kadhim, Qasim Khlaif; Sabti, Ahmed Abdulateef; Sabit, Shaker Holh – International Journal of Language Testing, 2023
Cognitive diagnostic models (CDMs) have received much interest within the field of language testing over the last decade due to their great potential to provide diagnostic feedback to all stakeholders and ultimately improve language teaching and learning. A large number of studies have demonstrated the application of CDMs on advanced large-scale…
Descriptors: Reading Comprehension, Reading Tests, Language Tests, English (Second Language)
Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
Liao, Linyu – English Language Teaching, 2020
As a high-stakes standardized test, IELTS is expected to have comparable forms of test papers so that test takers from different test administration on different dates receive comparable test scores. Therefore, this study examined the text difficulty and task characteristics of four parallel academic IELTS reading tests to reveal to what extent…
Descriptors: Second Language Learning, English (Second Language), Language Tests, High Stakes Tests
Tajeddin, Zia; Khatib, Mohammad; Mahdavi, Mohsen – Language Testing, 2022
Critical language assessment (CLA) has been addressed in numerous studies. However, the majority of the studies have overlooked the need for a practical framework to measure the CLA dimension of teachers' language assessment literacy (LAL). This gap prompted us to develop and validate a critical language assessment literacy (CLAL) scale to further…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
Nicklin, Christopher; Vitta, Joseph P. – Language Testing, 2022
Instrument measurement conducted with Rasch analysis is a common process in language assessment research. A recent systematic review of 215 studies involving Rasch analysis in language testing and applied linguistics research reported that 23 different software packages had been utilized. However, none of the analyses were conducted with one of…
Descriptors: Programming Languages, Vocabulary Development, Language Tests, Computer Software
Rico, Mercedes; Fielden, Laura Victoria; Sánchez, Héctor – JALT CALL Journal, 2019
While the globalized nature of contemporary society can be empowering for many, it may mean the maintenance of social iniquities for others, such as migrant populations. Spain, like many other European countries, has faced a high migration influx in the last decades. As a result, the government has invested in measures orientated toward social…
Descriptors: Social Integration, Social Differences, Computer Software, Computer Assisted Instruction
Ockey, Gary J.; Papageorgiou, Spiros; French, Robert – International Journal of Listening, 2016
This article reports on a study which aimed to determine the effect of strength of accent on listening comprehension of interactive lectures. Test takers (N = 21,726) listened to an interactive lecture given by one of nine speakers and responded to six comprehension items. The test taker responses were analyzed with the Rasch computer program…
Descriptors: Pronunciation, Listening Comprehension, Lecture Method, Computer Software
Solak, Ekrem; Altay, Firat – Online Submission, 2014
The purpose of this research was to determine what types of reading strategies prospective English Teachers used to accomplish in their reading assignments and activities. The study was conducted at a state-run University, English Language Teaching Department in Turkey. The participants were 130 prospective English Teachers majoring English…
Descriptors: Preservice Teachers, English (Second Language), Second Language Instruction, Second Language Learning
Zhang, Mo; Breyer, F. Jay; Lorenz, Florian – ETS Research Report Series, 2013
In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…
Descriptors: Computer Assisted Testing, Computer Software, Scoring, Language Tests
Papageorgiou, Spiros; Stevens, Robin; Goodwin, Sarah – Language Assessment Quarterly, 2012
Listening comprehension tests typically include both monologic and dialogic input to measure listening ability. However, research as to which type of input is more challenging for examinees remains limited and has provided inconclusive results (Brindley & Slatyer, 2002; Read, 2002; Shohamy & Inbar, 1991). A better understanding of the…
Descriptors: Listening Comprehension Tests, Test Items, Content Analysis, Listening Comprehension
Wauters, K.; Desmet, P.; Van den Noortgate, W. – Journal of Computer Assisted Learning, 2010
The popularity of intelligent tutoring systems (ITSs) is increasing rapidly. In order to make learning environments more efficient, researchers have been exploring the possibility of an automatic adaptation of the learning environment to the learner or the context. One of the possible adaptation techniques is adaptive item sequencing by matching…
Descriptors: Knowledge Level, Adaptive Testing, Test Items, Item Response Theory

Burstein, Jill; And Others – Annual Review of Applied Linguistics, 1996
Reviews current and developing technology uses that are relevant to language assessment and discusses examples of recent linguistic applications from the laboratory at the Educational Testing Service. The processes of language test development are described and the functions they serve from the perspective of a large testing organization are…
Descriptors: Computer Assisted Testing, Computer Software, Educational Technology, Interactive Video