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Carlson, Sarah E.; Seipel, Ben; Biancarosa, Gina; Davison, Mark L.; Clinton, Virginia – Grantee Submission, 2019
This demonstration introduces and presents an innovative online cognitive diagnostic assessment, developed to identify the types of cognitive processes that readers use during comprehension; specifically, processes that distinguish between subtypes of struggling comprehenders. Cognitive diagnostic assessments are designed to provide valuable…
Descriptors: Reading Comprehension, Standardized Tests, Diagnostic Tests, Computer Assisted Testing
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Barabadi, Elyas; Khajavy, Gholam Hassan; Kamrood, Ali Mehri – International Journal of Instruction, 2018
The current study reports the results of a project aimed at assessing L2 listening comprehension by drawing on two approaches to dynamic assessment: interventionist and interactionist. The former approach was actualized by providing two graduated hints which were fixed and standardized for all test takers while the latter was actualized by asking…
Descriptors: Intervention, Interaction, Listening Comprehension, Listening Comprehension Tests
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Sanchez-Gordon, Sandra; Luján-Mora, Sergio – Journal of Educational Computing Research, 2018
There are millions of people worldwide--of all ages, conditions, backgrounds, and motivations--with significant learning needs. Unfortunately, traditional education is not efficient enough to meet these needs. That is, the available educational resources are not fully exploited to help cover the demand. There is an increasing need for large-scale…
Descriptors: Technological Advancement, Large Group Instruction, Online Courses, Technology Uses in Education
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Nugent, Gwen; Guru, Ashu; Namuth-Covert, Deana M. – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This study examines differences in credit and noncredit users' learning and usage of the Plant Sciences E-Library (PASSEL, http://passel.unl.edu), a large international, open-source multidisciplinary learning object repository. Background: Advances in online education are helping educators to meet the needs of formal academic credit…
Descriptors: Academic Libraries, Electronic Libraries, Research Libraries, Electronic Learning
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Brinkhuis, Matthieu J. S.; Savi, Alexander O.; Hofman, Abe D.; Coomans, Frederik; van der Maas, Han L. J.; Maris, Gunter – Journal of Learning Analytics, 2018
With the advent of computers in education, and the ample availability of online learning and practice environments, enormous amounts of data on learning become available. The purpose of this paper is to present a decade of experience with analyzing and improving an online practice environment for math, which has thus far recorded over a billion…
Descriptors: Data Analysis, Mathematics Instruction, Accuracy, Reaction Time
National Council on Disability, 2018
This report is part of a five-report series on the Individuals with Disabilities Education Act (IDEA) that examines the Every Student Succeeds Act's (ESSA's) amendments to IDEA, explains their likely impact on students with disabilities as ESSA implementation progresses, and provides recommendations. The National Council on Disability conducted…
Descriptors: Educational Legislation, Federal Legislation, Disabilities, Equal Education
Chen, Guanhua – ProQuest LLC, 2018
This study is part of a larger design study that iteratively improves a robotics programming curriculum as well as a computational thinking (CT) instrument. Its focus was majorly on CT assessment and particularly on an online CT instrument with logging functionality that can store a student's problem-solving process by recording interactions…
Descriptors: Elementary School Students, Test Construction, Cognitive Tests, Computer Assisted Testing
Guskey, Thomas R.; Jung, Lee Ann – Educational Leadership, 2016
Many educators consider grades calculated from statistical algorithms more accurate, objective, and reliable than grades they calculate themselves. But in this research, the authors first asked teachers to use their professional judgment to choose a summary grade for hypothetical students. When the researchers compared the teachers' grade with the…
Descriptors: Grading, Computer Assisted Testing, Interrater Reliability, Grades (Scholastic)
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Tye-Murray, Nancy; Spehar, Brent; Sommers, Mitchell; Barcroft, Joe – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Individuals with hearing loss engage in auditory training to improve their speech recognition. They typically practice listening to utterances spoken by unfamiliar talkers but never to utterances spoken by their most frequent communication partner (FCP)--speech they most likely desire to recognize--under the assumption that familiarity…
Descriptors: Auditory Training, Familiarity, Spouses, Speech Language Pathology
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Wang, Shiyu; Lin, Haiyan; Chang, Hua-Hua; Douglas, Jeff – Journal of Educational Measurement, 2016
Computerized adaptive testing (CAT) and multistage testing (MST) have become two of the most popular modes in large-scale computer-based sequential testing. Though most designs of CAT and MST exhibit strength and weakness in recent large-scale implementations, there is no simple answer to the question of which design is better because different…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Sequential Approach
Curry, Mitchell – ProQuest LLC, 2016
This quantitative study examined seventh-grade reading scores to determine the extent to which certain demographic variables (race/ethnicity, gender, socioeconomic status) explain and MAP reading scores predict reading scores on the State of Texas Assessment of Academic Readiness (STAAR) in a selected northeast Texas public school. Standardized…
Descriptors: Statistical Analysis, Academic Achievement, Grade 7, Multiple Regression Analysis
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Rausch, Andreas; Seifried, Juergen; Koegler, Kristina; Brandt, Steffen; Eigenmann, Rebecca; Siegfried, Christin – AERA Online Paper Repository, 2016
Although non-cognitive facets--such as interest, attitudes, commitment, self-concept and so on--of are prevalent in contemporary theoretical modeling of competence, they are often neglected in measurement approaches or measured only by global self-report questionnaires. Based on the well-established experience sampling method (ESM) and following…
Descriptors: Computer Assisted Testing, Problem Solving, Measurement, Sampling
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Wise, Steven L. – Measurement: Interdisciplinary Research and Perspectives, 2015
The growing presence of computer-based testing has brought with it the capability to routinely capture the time that test takers spend on individual test items. This, in turn, has led to an increased interest in potential applications of response time in measuring intellectual ability and achievement. Goldhammer (this issue) provides a very useful…
Descriptors: Reaction Time, Measurement, Computer Assisted Testing, Achievement Tests
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Gierl, Mark J.; Lai, Hollis; Hogan, James B.; Matovinovic, Donna – Journal of Applied Testing Technology, 2015
The demand for test items far outstrips the current supply. This increased demand can be attributed, in part, to the transition to computerized testing, but, it is also linked to dramatic changes in how 21st century educational assessments are designed and administered. One way to address this growing demand is with automatic item generation.…
Descriptors: Common Core State Standards, Test Items, Alignment (Education), Test Construction
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Galligan, Linda; Hobohm, Carola – Mathematics Education Research Journal, 2015
This paper investigates how an online test ("Self-Test" developed at the University of Southern Queensland) can enrich students' understanding of their academic numeracy, through a purpose-built, self-assessment tool aligned with online modules. Since its creation and evaluation, the tool has been developed and tailored to suit other…
Descriptors: Self Evaluation (Individuals), Mathematics Skills, Numeracy, College Mathematics
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