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Abd Elgalil, Heba Mohamed; Abd El-Hakam, Fatma El-Zahraa; Farrag, Islam Mostafa; Abdelmohsen, Shaimaa Ramadan; Elkolaly, Hala – Innovations in Education and Teaching International, 2023
The Corona virus-19 pandemic has forced universities globally to shut down and shift their educational and assessment activities to online platforms. This study explores the perception of undergraduate preclinical medical students about online assessment during the ongoing pandemic. A cross-sectional study based on a semi-structured online…
Descriptors: Undergraduate Students, Student Attitudes, Computer Assisted Testing, COVID-19
Etter, Sarah – ProQuest LLC, 2023
The purpose of the research was to examine the impact of administrators' instructional technology leadership development on teacher efficacy for preparing students for high-stake online testing. The ten Texas administrators were interviewed two times in this multiple case study to determine if their capacity for instructional technology leadership…
Descriptors: Educational Technology, Leadership Training, Self Efficacy, Teacher Administrator Relationship
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Bahari, Akbar; Zhang, Xue; Ardasheva, Yuliya – Interactive Learning Environments, 2023
The lack of comprehensive language proficiency assessment models recognizing the nonlinearity and dynamicity of individual differences, as well as the fundamental differences between paper- and computer-assisted language assessments (CALA) served as the rationale to conduct the present study. Drawing on dynamic systems theory, a Nonlinear Dynamic…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Stephanie Michelle McMillan-Dorman – ProQuest LLC, 2023
McMillan-Dorman, Stephanie Michelle. Examining the Relationship Between Middle School Students' Participation on i-Ready Computer Adaptive Tests and Math Achievement Scores (Under the direction of Theodore Kaniuka, Ed.D.) Despite over 50 years of effort, educators have witnessed a multiplicity of educational reforms make little to no effect on…
Descriptors: Middle School Students, Student Participation, Tests, Computer Assisted Testing
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Philip Slobodsky; Mariana Durcheva – International Journal for Technology in Mathematics Education, 2023
The mode of assessment is one of the most important factors influencing learning. E-assessment usually includes only checking the final answer, thus limiting teacher's ability to check the complete solution, and it does not allow inclusion of math proofs problems that constitute an important part of math content. The e-assessment module of Halomda…
Descriptors: Mathematics Instruction, Learning Processes, Algebra, Validity
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Wang, Wei; Dorans, Neil J. – ETS Research Report Series, 2021
Agreement statistics and measures of prediction accuracy are often used to assess the quality of two measures of a construct. Agreement statistics are appropriate for measures that are supposed to be interchangeable, whereas prediction accuracy statistics are appropriate for situations where one variable is the target and the other variables are…
Descriptors: Classification, Scaling, Prediction, Accuracy
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Xu, Lingling; Wang, Shiyu; Cai, Yan; Tu, Dongbo – Journal of Educational Measurement, 2021
Designing a multidimensional adaptive test (M-MST) based on a multidimensional item response theory (MIRT) model is critical to make full use of the advantages of both MST and MIRT in implementing multidimensional assessments. This study proposed two types of automated test assembly (ATA) algorithms and one set of routing rules that can facilitate…
Descriptors: Item Response Theory, Adaptive Testing, Automation, Test Construction
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Nurdin, Erdawati; MZ, Zubaidah Amir; Nufus, Hayatun; Thakur, Deepti; Shah, Firdous A.; Dube, Rakesh; Wijaya, Tommy Tanu – Malikussaleh Journal of Mathematics Learning, 2021
The COVID-19 outbreak has an impact on the provision of education. One of them is the process of online assessment or examination. Difficulties occur during online exams; weak supervision can increase cheating behavior among students. Generally, teachers or lecturers think about how to prevent this behavior. However, what if they are allowed to…
Descriptors: Mathematics Tests, Computer Assisted Testing, Cheating, Student Attitudes
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Robinson, Daniel H. – Educational Psychology Review, 2021
In an article published in an open-access journal, (Pennebaker et al. "PLoS One," 8(11), e79774, 2013) reported that an innovative computer-based system that included daily online testing resulted in better student performance in other concurrent courses and a reduction in achievement gaps between lower and upper middle-class students.…
Descriptors: Computer Assisted Testing, Academic Achievement, Student Evaluation, College Students
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Goldhammer, Frank; Hahnel, Carolin; Kroehne, Ulf; Zehner, Fabian – Large-scale Assessments in Education, 2021
International large-scale assessments such as PISA or PIAAC have started to provide public or scientific use files for log data; that is, events, event-related attributes and timestamps of test-takers' interactions with the assessment system. Log data and the process indicators derived from it can be used for many purposes. However, the intended…
Descriptors: International Assessment, Data, Computer Assisted Testing, Validity
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Rohr-Mentele, Silja; Forster-Heinzer, Sarah – Empirical Research in Vocational Education and Training, 2021
Competence development and measurement are of great interest to vocational education and training (VET). Although there are many instruments available for measuring competence in diverse settings, in many cases, the completed steps of validation are neither documented nor made transparent in a comprehensible manner. Understanding what an…
Descriptors: Foreign Countries, Vocational Education, Test Validity, Competence
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Nigam, Aditya; Pasricha, Rhitvik; Singh, Tarishi; Churi, Prathamesh – Education and Information Technologies, 2021
There have been giant leaps in the field of education in the past 1-2 years. Schools and colleges are transitioning online to provide more resources to their students. The COVID-19 pandemic has provided students more opportunities to learn and improve themselves at their own pace. Online proctoring services (part of assessment) are also on the…
Descriptors: Supervision, Artificial Intelligence, Computer Assisted Testing, Educational Research
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Johnstone, Sally M. – Change: The Magazine of Higher Learning, 2021
When colleges and universities quickly moved their classes online last March, many faculty members gave students the option of pass/fail (P/F) grading. Usually P/F implies a student must reach the minimum passing grade of D to be awarded a P. This brings up the question of what passing a course with a D means. How much of the course material did…
Descriptors: Pass Fail Grading, Student Evaluation, Competency Based Education, Undergraduate Students
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Doewes, Afrizal; Pechenizkiy, Mykola – International Educational Data Mining Society, 2021
Scoring essays is generally an exhausting and time-consuming task for teachers. Automated Essay Scoring (AES) facilitates the scoring process to be faster and more consistent. The most logical way to assess the performance of an automated scorer is by measuring the score agreement with the human raters. However, we provide empirical evidence that…
Descriptors: Man Machine Systems, Automation, Computer Assisted Testing, Scoring
Adrienne A. Fitzer – ProQuest LLC, 2021
Twenty-three college students participated in two studies evaluating an application designed to measure stimulus overselectivity in pictures depicting facial affect. We analyzed whether this application worked as designed by evaluating whether it could provide a robust analysis of the types of errors users make (e.g., by matching by the top…
Descriptors: Autism Spectrum Disorders, College Students, Visual Stimuli, Responses
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