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Showing 1 to 15 of 65 results Save | Export
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Michael D. Carey; Stefan Szocs – Language Testing, 2024
This controlled experimental study investigated the interaction of variables associated with rating the pronunciation component of high-stakes English-language-speaking tests such as IELTS and TOEFL iBT. One hundred experienced raters who were all either familiar or unfamiliar with Brazilian-accented English or Papua New Guinean Tok Pisin-accented…
Descriptors: Dialects, Pronunciation, Suprasegmentals, Familiarity
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Mahmood Yenkimaleki; Vincent J. van Heuven; Mostafa Hosseini – Foreign Language Annals, 2024
The present study examines the effect of feedback (FB) and feedforward (FF) in prosody instruction for developing listening comprehension skills in the nonnative language by interpreter trainees, using a pretest-posttest-delayed posttest design. Three groups of 25 interpreter trainees at Bu-Ali Sina University in Iran took part in the study, all…
Descriptors: Feedback (Response), Suprasegmentals, Listening Comprehension, Listening Skills
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Liu, Ren; Huggins-Manley, Anne Corinne; Bulut, Okan – Educational and Psychological Measurement, 2018
Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item…
Descriptors: Models, Item Response Theory, Psychometrics, Test Construction
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Ghaemi, Hamed – Language Testing in Asia, 2022
Listening comprehension in English, as one of the most fundamental skills, has an essential role in the process of learning English. Mokken scale analysis (MSA) is a probabilistic-nonparametric approach to item response theory (IRT) which determines the one-dimensionality and scalability of test. Mokken scaling techniques are a useful tool for…
Descriptors: Second Language Learning, English (Second Language), Nonparametric Statistics, Item Response Theory
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Choi, Ikkyu; Zu, Jiyun – ETS Research Report Series, 2022
Synthetically generated speech (SGS) has become an integral part of our oral communication in a wide variety of contexts. It can be generated instantly at a low cost and allows precise control over multiple aspects of output, all of which can be highly appealing to second language (L2) assessment developers who have traditionally relied upon human…
Descriptors: Test Wiseness, Multiple Choice Tests, Test Items, Difficulty Level
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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
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Roger William Anderson – Journal of International Students, 2024
Educators of International Teaching Assistants (ITAs) have been overlooked, erroneously. As teacher educators, their work is exponentially important to North American universities. A multiple case study examined three ITA Educators' ideologies, involving data from two interviews -one being a stimulated recall using classroom observations…
Descriptors: Foreign Students, Teaching Assistants, Language Teachers, Teacher Attitudes
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Daniels, Paul – TESL-EJ, 2022
This paper compares the speaking scores generated by two online systems that are designed to automatically grade student speech and provide personalized speaking feedback in an EFL context. The first system, "Speech Assessment for Moodle" ("SAM"), is an open-source solution developed by the author that makes use of Google's…
Descriptors: Speech Communication, Auditory Perception, Computer Uses in Education, Computer Assisted Testing
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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)
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Esmaeili, Sonour; Tamjid, Nasrin Hadidi; Sadeghi, Karim; Seifoori, Zohreh – International Journal of Learning Technology, 2020
This study investigates the effects of the flipped teaching method (FTM) while using two types of corrective feedback (CF), explicit and implicit. A total of 80 Iranian EFL learners participated in the study. Of the participants, 40 studied grammar using the FTM, and the other 40 in a traditional manner. Each group was divided into two groups of…
Descriptors: Flipped Classroom, English (Second Language), Second Language Instruction, Foreign Countries
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Saeli, Hooman; Cheng, An – TESL-EJ, 2021
This study explored 12 upper-intermediate and advanced learners' affective, behavioral, and cognitive engagement with peer feedback in TOEFL iBT preparation classes in an Iranian English-as-a-foreign-language context. The data were collected from textual analysis of original and peer-reviewed drafts of student writing, qualitative interviews, and…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Feedback (Response)
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Ahmadi Shirazi, Masoumeh – SAGE Open, 2019
Threats to construct validity should be reduced to a minimum. If true, sources of bias, namely raters, items, tests as well as gender, age, race, language background, culture, and socio-economic status need to be spotted and removed. This study investigates raters' experience, language background, and the choice of essay prompt as potential…
Descriptors: Foreign Countries, Language Tests, Test Bias, Essay Tests
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Gu, Lin; Davis, Larry; Tao, Jacob; Zechner, Klaus – Assessment in Education: Principles, Policy & Practice, 2021
Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…
Descriptors: Audio Equipment, Test Preparation, Feedback (Response), Scores
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Choi, Ikkyu; Papageorgiou, Spiros – Language Testing, 2020
Stakeholders of language tests are often interested in subscores. However, reporting a subscore is not always justified; a subscore should provide reliable and distinct information to be worth reporting. When a subscore is used for decisions across multiple levels (e.g., individual test takers and schools), it needs to be justified for its…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Scores
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Karlin, Omar; Karlin, Sayaka – InSight: A Journal of Scholarly Teaching, 2018
This study had two aims. The first was to explain the process of using the Rasch measurement model to validate tests in an easy-to-understand way for those unfamiliar with the Rasch measurement model. The second was to validate two final exams with several shared items. The exams were given to two groups of students with slightly differing English…
Descriptors: Item Response Theory, Test Validity, Test Items, Accuracy
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