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Popham, William James – International Journal of Assessment Tools in Education, 2022
After providing key definitions well as substantial supportive evidence for the instructional process under consideration, this analysis identifies a serious shortcoming in the way that many U.S. educators are currently encouraging teachers' adoption of the formative-assessment process--a teaching approach informed by students' en route test…
Descriptors: Formative Evaluation, Student Evaluation, Educational Benefits, Barriers
Xiao Liu; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2022
Mediation analysis is widely used to study whether the effect of an independent variable on an outcome is transmitted through a mediator. Bayesian methods have become increasingly popular for mediation analysis. However, limited research has been done on formal Bayesian hypothesis testing of mediation. Although hypothesis testing using Bayes…
Descriptors: Bayesian Statistics, Hypothesis Testing, Mediation Theory, Vignettes
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Chen, Fu; Lu, Chang; Cui, Ying; Gao, Yizhu – IEEE Transactions on Learning Technologies, 2023
Learning outcome modeling is a technical underpinning for the successful evaluation of learners' learning outcomes through computer-based assessments. In recent years, collaborative filtering approaches have gained popularity as a technique to model learners' item responses. However, how to model the temporal dependencies between item responses…
Descriptors: Outcomes of Education, Models, Computer Assisted Testing, Cooperation
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Feinstein, Osvaldo – American Journal of Evaluation, 2023
"Integrative evaluation" is an approach with two main phases: identification of plausible rival hypotheses and integration of rival hypotheses. The first phase may correspond to traditional adversary evaluation, whereas the second phase, that is not included in adversary evaluation, requires integrative thinking which can be applied when…
Descriptors: Evaluation, Integrated Activities, Intervention, Evaluators
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Henderson, Michael; Chung, Jennifer; Awdry, Rebecca; Ashford, Cliff; Bryant, Mike; Mundy, Matthew; Ryan, Kris – International Journal for Educational Integrity, 2023
Discussions around assessment integrity often focus on the exam conditions and the motivations and values of those who cheated in comparison with those who did not. We argue that discourse needs to move away from a binary representation of cheating. Instead, we propose that the conversation may be more productive and more impactful by focusing on…
Descriptors: College Students, Computer Assisted Testing, Cheating, Ambiguity (Semantics)
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Yanxuan Qu; Sandip Sinharay – ETS Research Report Series, 2023
Though a substantial amount of research exists on imputing missing scores in educational assessments, there is little research on cases where responses or scores to an item are missing for all test takers. In this paper, we tackled the problem of imputing missing scores for tests for which the responses to an item are missing for all test takers.…
Descriptors: Scores, Test Items, Accuracy, Psychometrics
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Chen, Chia-Wen; Wang, Wen-Chung; Chiu, Ming Ming; Ro, Sage – Journal of Educational Measurement, 2020
The use of computerized adaptive testing algorithms for ranking items (e.g., college preferences, career choices) involves two major challenges: unacceptably high computation times (selecting from a large item pool with many dimensions) and biased results (enhanced preferences or intensified examinee responses because of repeated statements across…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
Phelps, Richard P. – Online Submission, 2020
Ten years ago, the author worked as the Director of Assessments for the District of Columbia Public Schools (DCPS). For temporal context, the author arrived after the first of the infamous test cheating scandals and left just before the incident that spawned a second. Indeed, the author filled a new position created to both manage test security…
Descriptors: Educational Change, School Districts, Public Schools, Testing
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Panachanok Chanwaiwit; Lalida Wiboonwachara – rEFLections, 2025
Chiang Mai Rajabhat University Test of English Proficiency (CMRU-TEP) is a required English proficiency test for all CMRU students before graduation. Despite its meticulous design, there is an opportunity for students to improve their scores through focused efforts and targeted support. This study employs an explanatory sequential mixed-methods…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Proficiency
Jenalee A. Hinds – ProQuest LLC, 2020
This study's primary purpose was to determine how students with a learning disability (LD) in mathematics react in different testing environments, and whether changing the testing parameters can improve the outcomes. Quantitative data was collected through questionnaires, heart rates, and math fluency probes. These data were used to test the…
Descriptors: Stress Variables, Test Anxiety, Learning Disabilities, Mathematics Tests
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Tzu-Hua Wang; Yu Sun; Nai-Wen Huang – Computer Assisted Language Learning, 2023
This research applied a web-based dynamic assessment system, GPAM-WATA system, to help low English achievers to perform self-directed learning of junior high school English grammar. A quasi-experimental design was adopted. A total of 124 seventh graders from four classes participated in this research. Participants were randomly divided into the…
Descriptors: Foreign Countries, Junior High School Students, English (Second Language), Second Language Learning
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Yasuda, Jun-ichiro; Hull, Michael M.; Mae, Naohiro – Physical Review Physics Education Research, 2022
This paper presents improvements made to a computerized adaptive testing (CAT)-based version of the FCI (FCI-CAT) in regards to test security and test efficiency. First, we will discuss measures to enhance test security by controlling for item overexposure, decreasing the risk that respondents may (i) memorize the content of a pretest for use on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Risk Management
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MacGregor, David; Yen, Shu Jing; Yu, Xin – Language Assessment Quarterly, 2022
How can one construct a test that provides accurate measurements across the range of performance levels while providing adequate coverage of all of the critical areas of the domain, yet that is not unmanageably long? This paper discusses the approach taken in a linear test of academic English language, and how the transition to a computer-based…
Descriptors: Language Tests, Language Proficiency, Computer Assisted Testing, Adaptive Testing
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Wolf, Mikyung Kim; Yoo, Hanwook; Guzman-Orth, Danielle; Abedi, Jamal – Educational Assessment, 2022
Implementing a randomized controlled trial design, the present study investigated the effects of two types of accommodations, linguistic modification and a glossary, for English learners (ELs) taking a computer-based mathematics assessment. Process data including response time and clicks on glossary words were also examined to better interpret…
Descriptors: Testing Accommodations, English Language Learners, Computer Assisted Testing, Mathematics Tests
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Bello, Hassan; Abdullah, Nor Athiyah – Electronic Journal of e-Learning, 2022
It has been extensively researched how satisfied students are with the vast majority of goods and services offered by educational institutions of higher learning. However, there appears to be a paucity of research on students' satisfaction with the facilities and services of computer-based assessment (CBA) centers in higher education institutions,…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Student Satisfaction
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