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Eran Hadas; Arnon Hershkovitz – Journal of Learning Analytics, 2025
Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…
Descriptors: Creativity, Evaluation Methods, Computer Assisted Testing, Artificial Intelligence
Pengelley, James; Whipp, Peter R.; Rovis-Hermann, Nina – Educational Psychology Review, 2023
The aim of the present study is to reconcile previous findings (a) that testing mode has no effect on test outcomes or cognitive load (Comput Hum Behav 77:1-10, 2017) and (b) that younger learners' working memory processes are more sensitive to computer-based test formats (J Psychoeduc Assess 37(3):382-394, 2019). We addressed key methodological…
Descriptors: Scores, Cognitive Processes, Difficulty Level, Secondary School Students
Anita B. Delahay; Marsha C. Lovett – Grantee Submission, 2018
Empirically supported multimedia learning (MML) principles [1] suggest effective ways to design instruction, generally for elements on the order of a graphic or an activity. We examined whether the positive impact of MML could be detected in larger instructional units from a MOOC. We coded instructional design (ID) features corresponding to MML…
Descriptors: Multimedia Instruction, Instructional Design, MOOCs, Computer Assisted Testing
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
Northwest Evaluation Association, 2016
This guide was created as a resource to help families better understand "Measures of Academic Progress"® (MAP®), and their child's results. The guide provides answers to a variety of questions such as: "What is MAP?"; "What does MAP measure?"; "How do schools and teachers use MAP scores?"; "Can MAP tell…
Descriptors: Scores, Academic Achievement, Achievement Tests, Reading Achievement
Northwest Evaluation Association, 2016
Northwest Evaluation Association™ (NWEA™) is committed to providing partners with useful tools to help make inferences from the Measures of Academic Progress® (MAP®) interim assessment scores. One important tool is the concordance table between MAP and state summative assessments. Concordance tables have been used for decades to relate scores on…
Descriptors: Scores, Inferences, Academic Achievement, Achievement Tests
Kupiainen, Sirkku; Vainikainen, Mari-Pauliina; Marjanen, Jukka; Hautamäki, Jarkko – Journal of Educational Psychology, 2014
The role of time on task (TOT) for students' attainment in a low-stakes assessment of cross-curricular skills was examined using the log data collected in the computer-based assessment (CBA). Two structural equation models were compared: Model 1, in which students' test scores were explained by grade point average (GPA) together with mastery and…
Descriptors: Computer Assisted Testing, Time on Task, Grade Point Average, Scores
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
Kuo, Bor-Chen; Daud, Muslem; Yang, Chih-Wei – EURASIA Journal of Mathematics, Science & Technology Education, 2015
This paper describes a curriculum-based multidimensional computerized adaptive test that was developed for Indonesia junior high school Biology. In adherence to the Indonesian curriculum of different Biology dimensions, 300 items was constructed, and then tested to 2238 students. A multidimensional random coefficients multinomial logit model was…
Descriptors: Secondary School Science, Science Education, Science Tests, Computer Assisted Testing
Butters, Roger B.; Walstad, William B. – Journal of Economic Education, 2011
Interest is growing at the precollege level in computer testing (CT) instead of paper-and-pencil testing (PT) for subjects in the school curriculum, including economics. Before economic educators adopt CT, a better understanding of its likely effects on test-taking behavior and performance compared with PT is needed. Using two volunteer student…
Descriptors: Computer Assisted Testing, Economics Education, Grade 8, Grade 9
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
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
Kim, Do-Hong; Huynh, Huynh – Educational Assessment, 2010
This study investigated whether scores obtained from the online and paper-and-pencil administrations of the statewide end-of-course English test were equivalent for students with and without disabilities. Score comparability was evaluated by examining equivalence of factor structure (measurement invariance) and differential item and bundle…
Descriptors: Computer Assisted Testing, Language Tests, English, Scores
Chen, Li-Ju; Ho, Rong-Guey; Yen, Yung-Chin – Educational Technology & Society, 2010
This study aimed to explore the effects of marking and metacognition-evaluated feedback (MEF) in computer-based testing (CBT) on student performance and review behavior. Marking is a strategy, in which students place a question mark next to a test item to indicate an uncertain answer. The MEF provided students with feedback on test results…
Descriptors: Feedback (Response), Test Results, Test Items, Testing