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Showing all 12 results Save | Export
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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Herrmann-Abell, Cari F.; Hardcastle, Joseph; DeBoer, George E. – Grantee Submission, 2018
We compared students' performance on a paper-based test (PBT) and three computer-based tests (CBTs). The three computer-based tests used different test navigation and answer selection features, allowing us to examine how these features affect student performance. The study sample consisted of 9,698 fourth through twelfth grade students from across…
Descriptors: Evaluation Methods, Tests, Computer Assisted Testing, Scores
Liu, Junhui; Brown, Terran; Chen, Jianshen; Ali, Usama; Hou, Likun; Costanzo, Kate – Partnership for Assessment of Readiness for College and Careers, 2016
The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium working to develop next-generation assessments that more accurately, compared to previous assessments, measure student progress toward college and career readiness. The PARCC assessments include both English Language Arts/Literacy (ELA/L) and…
Descriptors: Testing, Achievement Tests, Test Items, Test Bias
Steedle, Jeffrey; McBride, Malena; Johnson, Marc; Keng, Leslie – Partnership for Assessment of Readiness for College and Careers, 2016
The first operational administration of the Partnership for Assessment of Readiness for College and Careers (PARCC) took place during the 2014-2015 school year. In addition to the traditional paper-and-pencil format, the assessments were available for administration on a variety of electronic devices, including desktop computers, laptop computers,…
Descriptors: Computer Assisted Testing, Difficulty Level, Test Items, Scores
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Khunkrai, Naruemon; Sawangboon, Tatsirin; Ketchatturat, Jatuphum – Educational Research and Reviews, 2015
The aim of this research is to study the accurate prediction of comparing test information and evaluation result by multidimensional computerized adaptive scholastic aptitude test program used for grade 9 students under different reviewing test conditions. Grade 9 students of the Secondary Educational Service Area Office in the North-east of…
Descriptors: Foreign Countries, Secondary School Students, Grade 9, Computer Assisted Testing
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Lottridge, Susan M.; Nicewander, W. Alan; Mitzel, Howard C. – Multivariate Behavioral Research, 2011
This inquiry had 2 components: (1) the first was substantive and focused on the comparability of paper-based and computer-based test forms and (2) the second was a within-study comparison wherein a quasi-experimental method, propensity score matching, was compared with a credible benchmark method, a within-subjects design. The tests used in the…
Descriptors: Comparative Analysis, Probability, Scores, Statistical Analysis
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Eseryel, Deniz; Ifenthaler, Dirk; Ge, Xun – Educational Technology Research and Development, 2013
The important but little understood problem that motivated this study was the lack of research on valid assessment methods to determine progress in higher-order learning in situations involving complex and ill-structured problems. Without a valid assessment method, little progress can occur in instructional design research with regard to designing…
Descriptors: Instructional Design, Computer Games, Educational Games, Web Based Instruction
Thissen, David; Norton, Scott – American Institutes for Research, 2013
Development of the Common Core State Standards (CCSS), and the creation of the Smarter Balanced Assessment Consortium (Smarter Balanced) and the Partnership for Assessment of Readiness for College and Careers (PARCC), changes the pattern of accountability testing. These changes raise the question: "How should NAEP's validity and utility be…
Descriptors: National Competency Tests, Psychometrics, State Standards, Academic Standards
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Flowers, Claudia; Kim, Do-Hong; Lewis, Preston; Davis, Violeta Carmen – Journal of Special Education Technology, 2011
This study examined the academic performance and preference of students with disabilities for two types of test administration conditions, computer-based testing (CBT) and pencil-and-paper testing (PPT). Data from a large-scale assessment program were used to examine differences between CBT and PPT academic performance for third to eleventh grade…
Descriptors: Testing, Test Items, Effect Size, Computer Assisted Testing
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Eaton, Danice K.; Brener, Nancy D.; Kann, Laura; Denniston, Maxine M.; McManus, Tim; Kyle, Tonja M.; Roberts, Alice M.; Flint, Katherine H.; Ross, James G. – Evaluation Review, 2010
The authors examined whether paper-and-pencil and Web surveys administered in the school setting yield equivalent risk behavior prevalence estimates. Data were from a methods study conducted by the Centers for Disease Control and Prevention (CDC) in spring 2008. Intact classes of 9th- or 10th-grade students were assigned randomly to complete a…
Descriptors: Comparative Analysis, Incidence, At Risk Persons, Adolescents
Agar-Jacobsen, Roberta J. – ProQuest LLC, 2010
The primary goal of this study was to examine the relationship between deaf and hard-of-hearing students' learning style preferences and compare them to their nondeaf peers. Specifically, this study used 90 students throughout western Washington State, 45 per group. Quantitative data were collected using the 104-question survey Learning Style…
Descriptors: Cognitive Style, Elementary Secondary Education, Deafness, Grade 6
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries