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Van Norman, Ethan R.; Forcht, Emily R. – Assessment for Effective Intervention, 2023
This study explored the validity of growth on two computer adaptive tests, Star Reading and Star Math, in explaining performance on an end-of-year achievement test for a sample of students in Grades 3 through 6. Results from quantile regression analyses indicate that growth on Star Reading explained a statistically significant amount of variance…
Descriptors: Test Validity, Computer Assisted Testing, Adaptive Testing, Grade Prediction
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Bilge Gök; Mahmut Ayaz – International Online Journal of Primary Education, 2023
The aim of this study is to determine the attitudes of prospective primary school teachers towards technology and e-assessment in the distance education process. The study was designed according to the correlation method. The study was applied to students in all grades studying in the Department of Elementary Education of a state university in…
Descriptors: Preservice Teachers, Elementary School Teachers, Student Attitudes, Educational Technology
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Alamri, Hamdan – Education and Information Technologies, 2023
Drawing on social cognitive theory, this study investigated instructors' online teaching self-efficacy during the sudden, COVID-19-induced transition to online teaching. The pandemic has forced instructors to shift to online teaching, arming them with valuable hands-on experience in this alternative teaching mode. This study examined instructors'…
Descriptors: Teacher Effectiveness, Self Efficacy, Online Courses, COVID-19
Jiyeo Yun – English Teaching, 2023
Studies on automatic scoring systems in writing assessments have also evaluated the relationship between human and machine scores for the reliability of automated essay scoring systems. This study investigated the magnitudes of indices for inter-rater agreement and discrepancy, especially regarding human and machine scoring, in writing assessment.…
Descriptors: Meta Analysis, Interrater Reliability, Essays, Scoring
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Derar Serhan; Natalie Welcome – International Society for Technology, Education, and Science, 2023
Recently, institutions have increased their online course offerings as well as their online degrees. With this significant growth in online offerings, assessment integrity becomes a concern. In response to this concern, many institutions have adopted the use of online proctoring services. The aim of using these online proctoring services is to…
Descriptors: Computer Assisted Testing, Privacy, Student Attitudes, Ethics
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Gönülates, Emre – Educational and Psychological Measurement, 2019
This article introduces the Quality of Item Pool (QIP) Index, a novel approach to quantifying the adequacy of an item pool of a computerized adaptive test for a given set of test specifications and examinee population. This index ranges from 0 to 1, with values close to 1 indicating the item pool presents optimum items to examinees throughout the…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Error of Measurement
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Erdem-Kara, Basak – International Journal of Assessment Tools in Education, 2019
Computer adaptive testing is an important research field in educational measurement, and simulation studies play a critically important role in CAT development and evaluation. Both Monte Carlo and Post Hoc simulations are frequently used in CAT studies in order to investigate the effects of different factors on test efficiency and to compare…
Descriptors: Computer Assisted Testing, Adaptive Testing, Programming Languages, Monte Carlo Methods
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Schack, Edna O.; Dueber, David; Thomas, Jonathan Norris; Fisher, Molly H.; Jong, Cindy – AERA Online Paper Repository, 2019
Scoring of teachers' noticing responses is typically burdened with rater bias and reliance upon interrater consensus. The authors sought to make the scoring process more objective, equitable, and generalizable. The development process began with a description of response characteristics for each professional noticing component disconnected from…
Descriptors: Models, Teacher Evaluation, Observation, Bias
Panaite, Marilena; Ruseti, Stefan; Dascalu, Mihai; Balyan, Renu; McNamara, Danielle S.; Trausan-Matu, Stefan – Grantee Submission, 2019
Intelligence Tutoring Systems (ITSs) focus on promoting knowledge acquisition, while providing relevant feedback during students' practice. Self-explanation practice is an effective method used to help students understand complex texts by leveraging comprehension. Our aim is to introduce a deep learning neural model for automatically scoring…
Descriptors: Computer Assisted Testing, Scoring, Intelligent Tutoring Systems, Natural Language Processing
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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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McGuire, Katherine L. – Journal of Cognition and Development, 2022
Children have traditionally been viewed as less reliable witnesses than are adults. More recently, a concept known as developmental reversals, has brought this view into question. Developmental reversals have demonstrated that in certain contexts, children produce fewer false memories than adults. The primary paradigm used to demonstrate…
Descriptors: Memory, Cognitive Processes, Context Effect, Accuracy
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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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Mgbechikwere, Ikoro Francisca – International Society for Technology, Education, and Science, 2022
COVID-19 pandemic lockdown is an emergency period in education where assessment of teaching and learning became inevitable to determine effectiveness of the digital processes used. The objectives of this research are to; (a) investigate the types of assessment used during the COVID-19 pandemic in Nigeria; (b) establish the effectiveness of the…
Descriptors: Foreign Countries, Evaluation, Computer Assisted Testing, COVID-19
Marini, Jessica P.; Westrick, Paul A.; Young, Linda; Shaw, Emily J. – College Board, 2022
This study examines relationships between digital SAT scores and other relevant educational measures, such as high school grade point average (HSGPA), PSAT/NMSQT Total score, and Average AP Exam score, and compares those relationships to current paper and pencil SAT score relationships with the same measures. This information can provide…
Descriptors: Scores, College Entrance Examinations, Comparative Analysis, Test Format
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