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Ben Backes; James Cowan – Grantee Submission, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated in large-scale administration; and second, the degree to which online and paper assessments offer different information about underlying student…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
Ben Backes; James Cowan – Applied Measurement in Education, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated; and second, the degree to which online and paper assessments offer different information about underlying student ability. We first find very small…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel – International Journal of Artificial Intelligence in Education, 2024
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…
Descriptors: Cheating, Grading, Form Classes (Languages), Computer Software
Thuy Ho Hoang Nguyen; Bao Trang Thi Nguyen; Giang Thi Linh Hoang; Nhung Thi Hong Pham; Tu Thi Cam Dang – Language Testing in Asia, 2024
The present study explored the comparability in performance scores between the computer-delivered and face-to-face modes for the two speaking tests in the Vietnamese Standardized Test of English Proficiency (VSTEP) (the VSTEP.2 and VSTEP.3-5 Speaking tests) according to Vietnam's Six-Level Foreign Language Proficiency Framework (VNFLPF) and test…
Descriptors: Test Format, Computer Assisted Testing, Student Attitudes, Language Tests
Jiajing Huang – ProQuest LLC, 2022
The nonequivalent-groups anchor-test (NEAT) data-collection design is commonly used in large-scale assessments. Under this design, different test groups take different test forms. Each test form has its own unique items and all test forms share a set of common items. If item response theory (IRT) models are applied to analyze the test data, the…
Descriptors: Item Response Theory, Test Format, Test Items, Test Construction
Goran Trajkovski; Heather Hayes – Digital Education and Learning, 2025
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…
Descriptors: Artificial Intelligence, Educational Assessment, Computer Uses in Education, Test Format
Shahid A. Choudhry; Timothy J. Muckle; Christopher J. Gill; Rajat Chadha; Magnus Urosev; Matt Ferris; John C. Preston – Practical Assessment, Research & Evaluation, 2024
The National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA) conducted a one-year research study comparing performance on the traditional continued professional certification assessment, administered at a test center or online with remote proctoring, to a longitudinal assessment that required answering quarterly…
Descriptors: Nurses, Certification, Licensing Examinations (Professions), Computer Assisted Testing
Ali Khodi; Logendra Stanley Ponniah; Amir Hossein Farrokhi; Fateme Sadeghi – Language Testing in Asia, 2024
The current article evaluates a national English language proficiency test known as the "MSRT test" which is used to determine the eligibility of candidates for admission to and completion of higher education programs in Iran. Students in all majors take this standardized, high-stake criterion-referenced test to determine if they have…
Descriptors: Foreign Countries, Language Tests, Reading Tests, Language Proficiency
Magdalen Beiting-Parrish – ProQuest LLC, 2022
The following is a five-chapter dissertation surrounding the use of text mining techniques for better understanding the language of mathematics items from standardized tests to improve linguistic equity of these items to support assessment of English Language Learners. Introduction: The dissertation begins with an overview of the problem that…
Descriptors: Mathematics Tests, Test Items, Item Analysis, Standardized Tests
Anakaren Lopez – ProQuest LLC, 2023
This research study investigates the impact of the rapid transition from paper-based to online administration of the State of Texas Assessments of Academic Readiness (STAAR) exams on student performance in a South Texas school district. The transition, mandated by House Bill 3261, presented Texas public schools with a tight timeline for adapting…
Descriptors: Achievement Tests, Electronic Learning, Computer Assisted Testing, Scores
New York State Education Department, 2024
The New York State Education Department (NYSED) has a partnership with NWEA for the development of the 2024 Grades 3-8 English Language Arts Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability of the New York State Testing Program (NYSTP). The 2024 Grades 6 and 7 English Language…
Descriptors: Language Tests, Test Format, Language Arts, English Instruction
Jimenez, Laura; Modaffari, Jamil – Center for American Progress, 2021
Assessments are a way for stakeholders in education to understand what students know and can do. They can take many forms, including but not limited to paper and pencil or computer-adaptive formats. However, assessments do not have to be tests in the traditional sense at all; rather, they can be carried out through teacher observations of students…
Descriptors: Equal Education, Elementary Secondary Education, Futures (of Society), Computer Assisted Testing
Zlatkin-Troitschanskaia, Olga; Kühling-Thees, Carla; Gordon, Judith; Reichert-Schlax, Jasmin; Happ, Roland; Pant, Hans-Anand – Assessment & Evaluation in Higher Education, 2022
According to teaching-learning theories, interventions in educational practice require a valid diagnosis of students' learning preconditions. Cognitive dispositions at the beginning of studies are the strongest predictor of knowledge acquisition. In the context of increasing numbers of beginning students with heterogeneous preconditions, valid…
Descriptors: Learning Theories, Intervention, Educational Practices, Predictor Variables
Al Habbash, Maha; Alsheikh, Negmeldin; Liu, Xu; Al Mohammedi, Najah; Al Othali, Safa; Ismail, Sadiq Abdulwahed – International Journal of Instruction, 2021
This convergent mixed method study aimed at exploring the English context of the widely used Emirates Standardized Test (EmSAT) by juxtaposing it to its sequel, the International English Language Testing System (IELTS). For this purpose, the study used the Common European Framework of Reference (CEFR) international standards which is used as a…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Guidelines
Lina Anaya; Nagore Iriberri; Pedro Rey-Biel; Gema Zamarro – Annenberg Institute for School Reform at Brown University, 2021
Standardized assessments are widely used to determine access to educational resources with important consequences for later economic outcomes in life. However, many design features of the tests themselves may lead to psychological reactions influencing performance. In particular, the level of difficulty of the earlier questions in a test may…
Descriptors: Test Construction, Test Wiseness, Test Items, Difficulty Level
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