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Badawi, Maria Altaib; Elhussien, Faiza Abdalla – Arab World English Journal, 2022
The current qualitative and quantitative study methods intend to investigate the quality of electronic examinations and the obstacles of changing the examinations' process from the participants' experiences and perspectives. The study generates feedback to enhance the adoption and improvement of the e. examination process. Due to the COVID-19…
Descriptors: Computer Assisted Testing, Educational Quality, College Faculty, Teacher Attitudes
Arslan, Kürsat; Semenderoglu, Adnan; Uyanik, Ercan – Malaysian Online Journal of Educational Technology, 2022
This study aimed to discuss the online/e-assessment methods applied in the education faculties of state universities during the COVID-19 pandemic and to reveal student satisfaction and achievement in such methods. Accordingly, the relationships between student grades, the preferred method, and student satisfaction levels were examined by…
Descriptors: Preferences, Student Satisfaction, Academic Achievement, Computer Assisted Testing
Olivera-Aguilar, Margarita; Lee, Hee-Sun; Pallant, Amy; Belur, Vinetha; Mulholland, Matthew; Liu, Ou Lydia – ETS Research Report Series, 2022
This study uses a computerized formative assessment system that provides automated scoring and feedback to help students write scientific arguments in a climate change curriculum. We compared the effect of contextualized versus generic automated feedback on students' explanations of scientific claims and attributions of uncertainty to those…
Descriptors: Computer Assisted Testing, Formative Evaluation, Automation, Scoring
Tsai, Cheng-Ting; Wu, Ja-Ling; Lin, Yu-Tzu; Yeh, Martin K.-C. – Educational Technology & Society, 2022
With the rapid increase of online learning and online degree programs, the need for a secure and fair scoring mechanisms in online learning becomes urgent. In this research, a secure scoring mechanism was designed and developed based on blockchain technology to build transparent and fair interactions among students and teachers. The proposed…
Descriptors: Electronic Learning, Online Courses, Computer Security, Scoring
Parker, Mark A. J.; Hedgeland, Holly; Braithwaite, Nicholas; Jordan, Sally – European Journal of Science and Mathematics Education, 2022
The study investigated student reaction to the alternative mechanics survey (AMS), a modified force concept inventory, which used automatically marked free-response questions and offered limited feedback to students after their answers had been submitted. Eight participants were observed in completing the AMS, and they were interviewed to gain…
Descriptors: Student Attitudes, Feedback (Response), Learning Processes, Physics
Yang, Yu'an; Goodhue, Daniel; Hacquard, Valentine; Lidz, Jeffrey – Language Acquisition: A Journal of Developmental Linguistics, 2022
"Wh"-phrases in Mandarin have an interrogative (like English "what") and an indefinite (like English "a/some") interpretation. Previous comprehension studies find that children can access both interpretations around 4.5 years old; studies with younger children focus on production and find that children between 2 and…
Descriptors: Phrase Structure, Mandarin Chinese, Morphemes, Language Processing
Odzemir, Hasan Fehmi; Toraman, Cetin; Korkmaz, Gunes – Educational Process: International Journal, 2022
Background/purpose: The aim of this research is to examine the meanings through metaphors that academics derive from their experiences regarding the measurement and evaluation practices when emergency remote teaching was conducted due to the COVID-19 pandemic, to identify the problems they experienced with the measurement and evaluation practices,…
Descriptors: College Faculty, Satisfaction, Measurement Techniques, Evaluation Methods
Wright, Laura; Harkins, Heather; Kopriva, Rebecca; Auty, William; Malkin, Linda; Myers, Blake – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2022
The use of technology in assessment continues to evolve the field of educational measurement. This article reports on development and use of new accessible, technology-enhanced assessments designed to measure the three-dimensional science abilities of middle school students. The assessments were piloted with over 70 teachers and 8,000 students…
Descriptors: Middle School Students, Student Evaluation, Science Instruction, Computer Assisted Testing
Alexander, Ben; Owen, Sean; Thames, Cliff B. – Asian Association of Open Universities Journal, 2020
Purpose: This study, a post hoc observational one, attempted to determine if career and technical education (CTE) students in the state of Mississippi would academically benefit from taking multiple formative assessments in an online format prior to completing their summative exams. Most CTE students in the state of Mississippi are required to…
Descriptors: Computer Assisted Testing, Formative Evaluation, Summative Evaluation, Vocational Education
Crisp, Victoria; Shaw, Stuart – Research Matters, 2020
For assessment contexts where both a paper-based test and an on-screen assessment are available as alternatives, it is still common for the paper-based test to be prepared first with questions later transferred into an on-screen testing platform. One challenge with this is that some questions cannot be transferred. One solution might be for…
Descriptors: Computer Assisted Testing, Test Items, Test Construction, Mathematics Tests
van Groen, Maaike M.; Eggen, Theo J. H. M. – Journal of Applied Testing Technology, 2020
When developing a digital test, one of the first decisions that need to be made is which type of Computer-Based Test (CBT) to develop. Six different CBT types are considered here: linear tests, automatically generated tests, computerized adaptive tests, adaptive learning environments, educational simulations, and educational games. The selection…
Descriptors: Computer Assisted Testing, Formative Evaluation, Summative Evaluation, Adaptive Testing
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
Daniels, Lia M.; Bulut, Okan – Journal of Computer Assisted Learning, 2020
In computer-based testing (CBT) environments instructors can provide students with feedback immediately. Commonly, instructors give students their percentage correct without additional descriptive feedback. Our objectives were (a) to compare students' perceived usefulness of a percentage-only score report vs. a descriptive feedback report in a CBT…
Descriptors: Computer Assisted Testing, Feedback (Response), Value Judgment, Student Attitudes
Sutter, Claudia C.; Campbell, Laurie O.; Lambie, Glenn W. – Computers in the Schools, 2020
The present study investigated the predictability of a computer-adaptive, curriculum-based reading assessment for measuring second-grade students' overall and comprehension reading achievement on a standardized reading achievement test. Specifically, second-grade student scores (N = 428) of the Istation's Indicators of Progress for Early Reading…
Descriptors: Prediction, Standardized Tests, Reading Tests, Grade 2
Boorse, Jaclin; Van Norman, Ethan R. – Psychology in the Schools, 2021
Prior research on the Measures of Academic Progress (MAP), a computer-adaptive test distributed by the Northwest Evaluation Association, has primarily focused on the Reading MAP for screening/benchmarking in elementary grades. The purpose of this study was to explore the functional form of growth and the extent to which student variability in…
Descriptors: Achievement Tests, Mathematics Tests, Adaptive Testing, Computer Assisted Testing

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