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Showing 1 to 15 of 48 results Save | Export
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Liu, Ren; Liu, Haiyan; Shi, Dexin; Jiang, Zhehan – Educational and Psychological Measurement, 2022
Assessments with a large amount of small, similar, or often repetitive tasks are being used in educational, neurocognitive, and psychological contexts. For example, respondents are asked to recognize numbers or letters from a large pool of those and the number of correct answers is a count variable. In 1960, George Rasch developed the Rasch…
Descriptors: Classification, Models, Statistical Distributions, Scores
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Tenison, Caitlin; Ling, Guangming; McCulla, Laura – International Journal of Artificial Intelligence in Education, 2023
In this paper we use historic score-reporting records and test-taker metadata to inform data-driven recommendations that support international students in their choice of undergraduate institutions for study in the United States. We investigate the use of Structural Topic Modeling (STM) as a context-aware, probabilistic recommendation method that…
Descriptors: Foreign Students, Undergraduate Students, College Choice, Models
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Alpizar, David; Li, Tongyun; Norris, John M.; Gu, Lixiong – Language Testing, 2023
The C-test is a type of gap-filling test designed to efficiently measure second language proficiency. The typical C-test consists of several short paragraphs with the second half of every second word deleted. The words with deleted parts are considered as items nested within the corresponding paragraph. Given this testlet structure, it is commonly…
Descriptors: Psychometrics, Language Tests, Second Language Learning, Test Items
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Branum-Martin, Lee; Rhodes, Katherine T.; Sun, Congying; Washington, Julie A.; Webb, Mi-Young – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Many language tests use different versions that are not statistically linked or do not have a developmental scaled score. The current article illustrates the problems of scores that are not linked or equated, followed by a statistical model to derive a developmental scaled score. Method: Using an accelerated cohort design of 890 students…
Descriptors: Longitudinal Studies, Language Tests, Scores, Elementary School Students
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Afsharrad, Mohammad; Pishghadam, Reza; Baghaei, Purya – International Journal of Language Testing, 2023
Testing organizations are faced with increasing demand to provide subscores in addition to the total test score. However, psychometricians argue that most subscores do not have added value to be worth reporting. To have added value, subscores need to meet a number of criteria: they should be reliable, distinctive, and distinct from each other and…
Descriptors: Comparative Analysis, Scores, Value Added Models, Psychometrics
Al-Jarf, Reima – Online Submission, 2023
This article aims to give a comprehensive guide to planning and designing vocabulary tests which include Identifying the skills to be covered by the test; outlining the course content covered; preparing a table of specifications that shows the skill, content topics and number of questions allocated to each; and preparing the test instructions. The…
Descriptors: Vocabulary Development, Learning Processes, Test Construction, Course Content
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Kim, Byungsoo; Yu, Hangyeol; Shin, Dongmin; Choi, Youngduck – International Educational Data Mining Society, 2021
The needs for precisely estimating a student's academic performance have been emphasized with an increasing amount of attention paid to Intelligent Tutoring System (ITS). However, since labels for academic performance, such as test scores, are collected from outside of ITS, obtaining the labels is costly, leading to label-scarcity problem which…
Descriptors: Academic Achievement, Intelligent Tutoring Systems, Prediction, Scores
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Alzahrani, Saad – Journal of Interactive Learning Research, 2021
This article presents a systematic instructional design procedure to develop a Computer-Assisted Vocabulary Acquisition (CAVA) software in a consistent and reliable way. The design process involves ADDIE fundamental elements: Analyse, Design, Development, Implementation, and Evaluation. This article will describe in detail each of the five ADDIE…
Descriptors: Computer Assisted Instruction, Instructional Design, Teaching Methods, Vocabulary Development
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Esfandiari, Mohammad Reza; Riasati, Mohammad Javad; Vaezian, Helia; Rahimi, Forough – Language Testing in Asia, 2018
Background: Validity is a notable concept in language testing which has concerned many researchers and scholars in the field of language testing due to its importance in decision making process. Tests' results always introduce consequences to test takers' lives which emphasizes the need to ensure their validity. Detecting and delineating the…
Descriptors: Computer Assisted Testing, Test Validity, Language Tests, English (Second Language)
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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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Schmidgall, Jonathan; Oliveri, Maria Elena; Duke, Trina; Grissom, Elizabeth Carter – ETS Research Report Series, 2019
One of the most critical steps in the test development process is defining the construct, or the knowledge, skills, or abilities, to be assessed. This foundational step provides the basis for initial assumptions about the meaning of test scores and serves as a reference for subsequent validity research. In this paper, we describe the purpose of…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Language Proficiency
Burnett, Alyson; McCullough, Moira; Williams, Breyon – Mathematica, 2021
The purpose of this study was to assess the effectiveness of Uncommon Schools in a turnaround setting. Uncommon was awarded a 2016 grant from the U.S. Department of Education's Investing in Innovation Fund (i3) to support TurnNJ, a project intended to support Uncommon's whole-school turnaround efforts in Camden and Newark, New Jersey. The study…
Descriptors: School Turnaround, Grants, Federal Aid, Models
Porter, Tameka; Cook, H. Gary; Sahakyan, Narek – Wisconsin Center for Education Research, 2019
The authors illustrate models and procedures that can be applied to calculate overall composite scores in order to identify an indicator of English language proficiency, based on composite scores for English learners with 504 or individualized education plans who are missing one or more domain scores on the Assessing Comprehension and…
Descriptors: English (Second Language), Second Language Learning, Accountability, English Language Learners
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Abdi Tabari, Mahmoud; Miller, Michol – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2021
Although several studies have explored the effects of task sequencing on second language (L2) production, there is no established set of criteria to sequence tasks for learners in L2 writing classrooms. This study examined the effect of simple ?complex task sequencing manipulated along both resource-directing (± number of elements) and…
Descriptors: Language Fluency, Task Analysis, Second Language Learning, Second Language Instruction
Capellan, Frank – ProQuest LLC, 2017
The purpose of this study was to investigate the relationship between personality types and second language acquisition. The study addressed a problem that is inadequately investigated in foreign language acquisition research; specifically, personality traits as predictors of language learning in college students studying Spanish as a foreign…
Descriptors: Correlation, Personality Traits, Second Language Learning, Grades (Scholastic)
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