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Showing 1 to 15 of 36 results Save | Export
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Lishi Liang; W. L. Quint Oga-Baldwin; Kaori Nakao; Luke K. Fryer; Alex Shum – Technology in Language Teaching & Learning, 2024
Phonological processing of written characters has been recognized as a crucial element in acquiring literacy in any language, both native and foreign. This study aimed to assess Japanese primary school students' phoneme-grapheme recognition skills using both paper-based and touch-interface tests. Differences between the two test formats and the…
Descriptors: Phoneme Grapheme Correspondence, Language Tests, Gamification, Elementary School Students
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National Assessment of Educational Progress (NAEP), 2025
Also known as The Nation's Report Card, the National Assessment of Educational Progress (NAEP) is the largest nationally representative and continuing assessment of student achievement and their learning experiences in various subjects for the nation, states, and 27 urban districts. The National Center for Education Statistics (NCES) is currently…
Descriptors: National Competency Tests, Innovation, Futures (of Society), Achievement Tests
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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Soland, James; Kuhfeld, Megan; Rios, Joseph – Large-scale Assessments in Education, 2021
Low examinee effort is a major threat to valid uses of many test scores. Fortunately, several methods have been developed to detect noneffortful item responses, most of which use response times. To accurately identify noneffortful responses, one must set response time thresholds separating those responses from effortful ones. While other studies…
Descriptors: Reaction Time, Measurement, Response Style (Tests), Reading Tests
Backes, Ben; Cowan, James – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Prior work has documented a substantial penalty associated with taking the Partnership for Assessment of Readiness for College and Careers (PARCC) online relative to on paper (Backes & Cowan, 2019). However, this penalty does not necessarily make online tests less useful. For example, it could be the case that computer literacy skills are…
Descriptors: Predictive Validity, Test Validity, Computer Assisted Testing, Comparative Analysis
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Scrimgeour, Meghan B.; Huang, Haigen H. – Mid-Western Educational Researcher, 2022
Given the growing trend toward using technology to assess student learning, this investigation examined test mode comparability of student achievement scores obtained from paper-pencil and computerized assessments of statewide End-of-Course and End-of-Grade examinations in the subject areas of high school biology and eighth-grade English Language…
Descriptors: Comparative Analysis, Test Format, Grade 8, English Instruction
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Wang, Yan; Murphy, Kevin B. – National Center for Education Statistics, 2020
In 2018, the National Center for Education Statistics (NCES) administered two assessments--the National Assessment of Educational Progress (NAEP) Technology and Engineering Literacy (TEL) assessment and the International Computer and Information Literacy Study (ICILS)--to two separate nationally representative samples of 8th-grade students in the…
Descriptors: National Competency Tests, International Assessment, Computer Literacy, Information Literacy
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Matayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis
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Barker, Megel R. – Journal of Research in International Education, 2022
The Middle Years Programme (MYP) is one of four programmes offered by the International Baccalaureate, together with the Diploma Programme, Career-related Programme and Primary Years Programme. This study investigated the difference in job satisfaction levels of MYP Coordinators based on the number of IB programmes delivered in the school. Schools…
Descriptors: Job Satisfaction, Advanced Placement Programs, Administrator Attitudes, Administrator Role
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Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on mathematics achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) mathematics assessment. This study compared mathematics achievement growth of students who used…
Descriptors: Mathematics Achievement, Mathematics Instruction, Program Evaluation, Individualized Instruction
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Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on ELA achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) ELA assessment. This study compared the ELA achievement growth in the 2020-21 school year of students who…
Descriptors: English, Language Arts, Computer Assisted Instruction, Computer Assisted Testing
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François, Jennifer; Albakry, Mohammed – Language Learning & Technology, 2021
While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…
Descriptors: Phrase Structure, Computer Software, Predictor Variables, Computer Assisted Testing
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Nelson, Peter M.; Van Norman, Ethan R.; Klingbeil, Dave A.; Parker, David C. – Psychology in the Schools, 2017
Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…
Descriptors: Progress Monitoring, Computer Assisted Testing, Data Collection, Scheduling
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Homand, Danielle M.; Moughamian, Ani C. – AERA Online Paper Repository, 2017
This study focused on the use of a standardized reading assessment to examine reading comprehension among English language learners (ELLs) and English fluent middle school students, focusing on two text genres: informational and narrative. The Common Core State Standards require students to develop skills in both genres. However, ELLs may not…
Descriptors: Reading Comprehension, Literary Genres, English Language Learners, Scores
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Dindar, M.; Kabakçi Yurdakul, I.; Inan Dönmez, F. – Journal of Computer Assisted Learning, 2015
The majority of multimedia learning studies focus on the use of graphics in learning process but very few of them examine the role of graphics in testing students' knowledge. This study investigates the use of static graphics versus animated graphics in a computer-based English achievement test from a cognitive load theory perspective. Three…
Descriptors: Difficulty Level, Cognitive Processes, Animation, Visual Aids
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