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Jonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
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Tahereh Firoozi; Hamid Mohammadi; Mark J. Gierl – Journal of Educational Measurement, 2025
The purpose of this study is to describe and evaluate a multilingual automated essay scoring (AES) system for grading essays in three languages. Two different sentence embedding models were evaluated within the AES system, multilingual BERT (mBERT) and language-agnostic BERT sentence embedding (LaBSE). German, Italian, and Czech essays were…
Descriptors: College Students, Slavic Languages, German, Italian
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Wallace N. Pinto Jr.; Jinnie Shin – Journal of Educational Measurement, 2025
In recent years, the application of explainability techniques to automated essay scoring and automated short-answer grading (ASAG) models, particularly those based on transformer architectures, has gained significant attention. However, the reliability and consistency of these techniques remain underexplored. This study systematically investigates…
Descriptors: Automation, Grading, Computer Assisted Testing, Scoring
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Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
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Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
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Uzun, N. Bilge; Aktas, Mehtap; Akay, Cenk – Journal of Educational Technology, 2023
The challenges experienced in measurement and evaluation during the distance education process among student and instructor groups are discussed in the study. A qualitative meta-synthesis method is used in this research. Twenty studies were included in the meta-synthesis. The challenges experienced by the instructors are program utilization,…
Descriptors: Measurement Techniques, Evaluation Methods, Distance Education, Literature Reviews
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Mücahit Öztürk – Open Praxis, 2024
This study examined the problems that pre-service teachers face in the online assessment process and their suggestions for solutions to these problems. The participants were 136 pre-service teachers who have been experiencing online assessment for a long time and who took the Foundations of Open and Distance Learning course. This research is a…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Distance Education
Aaron McVay – ProQuest LLC, 2021
As assessments move towards computerized testing and making continuous testing available the need for rapid assembly of forms is increasing. The objective of this study was to investigate variability in assembled forms through the lens of first- and second-order equity properties of equating, by examining three factors and their interactions. Two…
Descriptors: Automation, Computer Assisted Testing, Test Items, Reaction Time
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Toker, Turker – International Journal of Curriculum and Instruction, 2023
Achievement tests are among the most widely used data collection tools to measure the knowledge and skill levels of individuals. For this reason, the existence of valid and reliable achievement tests that can perfectly reveal the competencies that a person should have in any discipline is of great importance. The purpose of this research is to…
Descriptors: Basic Skills, Evaluation Methods, Test Items, Test Validity
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Kübra Karakaya Özyer – Journal of Social Studies Education Research, 2024
The study aims to assess online assessment practices in a public university, addressing questions about self-efficacy levels, tools used, challenges faced, and proposed solutions. The chosen methodology employs a cross-sectional survey design, collecting both quantitative and qualitative data from 50 instructors in Türkiye through a convenience…
Descriptors: Foreign Countries, Student Evaluation, Computer Assisted Testing, College Students
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Divayana, Dewa Gede Hendra; Sudirtha, I. Gede; Suartama, I. Kadek – International Journal of Instruction, 2021
This research had the main objective to develop a new form/design in the development of test instruments that valid and reliable. The form of the test instrument that was developed adopted the Superitem concept and was integrated into software called Wondershare. Through the integration, digital format test instruments were realized with the…
Descriptors: Computer Assisted Testing, Distance Education, Assessment Literacy, Test Construction
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Julie Lazzara; Matthew Bloom; Virginia Clinton-Lisell – Open Praxis, 2024
This study examined faculty and student perceptions of renewable assignments within an OER-enabled pedagogy framework. Building on Wiley and Hilton's (2018) framework, this study focused on the subset of practices that result in renewable assignments. Renewable assignments leverage OER permissions (reuse, redistribute, retain, remix, revise) to…
Descriptors: Undergraduate Students, College Faculty, Open Educational Resources, Electronic Learning
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Gliksman, Yarden; Berebbi, Shir; Hershman, Ronen; Henik, Avishai – Applied Cognitive Psychology, 2022
Math fluency (MF) is the ability to quickly and accurately solve simple math exercises. Proficiency in MF is one of the buildings of arithmetic achievement during school. However, so far only paper and pencil tests have been used to assess MF. In the current study, we present the BGU-MF (Ben-Gurion University Math Fluency) test, a new computerized…
Descriptors: Foreign Countries, Mathematics Skills, Mathematics Tests, Computer Assisted Testing
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Chen, Dandan; Hebert, Michael; Wilson, Joshua – American Educational Research Journal, 2022
We used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger…
Descriptors: Reliability, Scoring, Essays, Automation
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Snekalatha, S.; Marzuk, S. Mohamed; Meshram, Swapnatai A.; Maheswari, K. Uma; Sugapriya, G.; Sivasharon, K. – Advances in Physiology Education, 2021
Medical education has gone online because of the COVID-19 pandemic. Formative assessment is essential to facilitate the learning process in medical education. However, various challenges arise during online assessment, which include reliability, when done without monitoring and practical concerns like Internet connectivity issues. This study was…
Descriptors: Medical Students, Student Attitudes, Test Reliability, Test Validity
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