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Xuefan Li; Marco Zappatore; Tingsong Li; Weiwei Zhang; Sining Tao; Xiaoqing Wei; Xiaoxu Zhou; Naiqing Guan; Anny Chan – IEEE Transactions on Learning Technologies, 2025
The integration of generative artificial intelligence (GAI) into educational settings offers unprecedented opportunities to enhance the efficiency of teaching and the effectiveness of learning, particularly within online platforms. This study evaluates the development and application of a customized GAI-powered teaching assistant, trained…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Academic Achievement
Mohan, Kaushik; Bergner, Yoav; Halpin, Peter – Technology, Knowledge and Learning, 2020
Technology-based assessments that involve collaboration among students offer many sources of process data, although it remains unclear which aspects of these data are most meaningful for making inferences about students' collaborative skills. Recent research has focused mainly on theory-based rubrics for qualitative coding of process data (e.g.,…
Descriptors: Computer Assisted Testing, Student Evaluation, Cooperation, Grade 12
Tan, Kim Chwee Daniel; Taber, Keith S.; Liew, Yong Qiang; Teo, Kay Liang Alan – Chemistry Education Research and Practice, 2019
The internet is prevalent in society today, and user-friendly web-based productivity tools are readily available for developing diagnostic instruments. This study sought to determine the affordances of a web-based diagnostic instrument on ionisation energy (wIEDI) based on the pen-and-paper version, the Ionisation Energy Diagnostic Instrument…
Descriptors: Energy, Secondary School Science, Chemistry, Diagnostic Tests
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
O'Malley, Fran; Norton, Scott – American Institutes for Research, 2022
This paper provides the National Center for Education Statistics (NCES), National Assessment Governing Board (NAGB), and the National Assessment of Educational Progress (NAEP) community with information that may help maintain the validity and utility of the NAEP assessments for civics and U.S. history as revisions are planned to the NAEP…
Descriptors: National Competency Tests, United States History, Test Validity, Governing Boards
Özyurt, Hacer; Özyurt, Özcan – Eurasian Journal of Educational Research, 2015
Problem Statement: Learning-teaching activities bring along the need to determine whether they achieve their goals. Thus, multiple choice tests addressing the same set of questions to all are frequently used. However, this traditional assessment and evaluation form contrasts with modern education, where individual learning characteristics are…
Descriptors: Probability, Adaptive Testing, Computer Assisted Testing, Item Response Theory
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
Pommerich, Mary – Journal of Technology, Learning, and Assessment, 2007
Computer administered tests are becoming increasingly prevalent as computer technology becomes more readily available on a large scale. For testing programs that utilize both computer and paper administrations, mode effects are problematic in that they can result in examinee scores that are artificially inflated or deflated. As such, researchers…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Scores