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Baryktabasov, Kasym; Jumabaeva, Chinara; Brimkulov, Ulan – Research in Learning Technology, 2023
Many examinations with thousands of participating students are organized worldwide every year. Usually, this large number of students sit the exams simultaneously and answer almost the same set of questions. This method of learning assessment requires tremendous effort and resources to prepare the venues, print question books and organize the…
Descriptors: Information Technology, Computer Assisted Testing, Test Items, Adaptive Testing
Ozsoy, Seyma Nur; Kilmen, Sevilay – International Journal of Assessment Tools in Education, 2023
In this study, Kernel test equating methods were compared under NEAT and NEC designs. In NEAT design, Kernel post-stratification and chain equating methods taking into account optimal and large bandwidths were compared. In the NEC design, gender and/or computer/tablet use was considered as a covariate, and Kernel test equating methods were…
Descriptors: Equated Scores, Testing, Test Items, Statistical Analysis
Bengs, Daniel; Kroehne, Ulf; Brefeld, Ulf – Journal of Educational Measurement, 2021
By tailoring test forms to the test-taker's proficiency, Computerized Adaptive Testing (CAT) enables substantial increases in testing efficiency over fixed forms testing. When used for formative assessment, the alignment of task difficulty with proficiency increases the chance that teachers can derive useful feedback from assessment data. The…
Descriptors: Computer Assisted Testing, Formative Evaluation, Group Testing, Program Effectiveness
Guher Gorgun; Okan Bulut – Education and Information Technologies, 2024
In light of the widespread adoption of technology-enhanced learning and assessment platforms, there is a growing demand for innovative, high-quality, and diverse assessment questions. Automatic Question Generation (AQG) has emerged as a valuable solution, enabling educators and assessment developers to efficiently produce a large volume of test…
Descriptors: Computer Assisted Testing, Test Construction, Test Items, Automation
Arif Cem Topuz; Kinshuk – Educational Technology Research and Development, 2024
Online assessments of learning, or online exams, have become increasingly widespread with the rise of distance learning. Online exams are preferred by many students and are perceived as a quick and easy tool to measure knowledge. On the contrary, some students are concerned about the possibility of cheating and technological difficulties in online…
Descriptors: Computer Assisted Testing, Student Evaluation, Evaluation Methods, Student Attitudes
Santi Lestari – Research Matters, 2025
The ability to draw visual representations such as diagrams and graphs is considered fundamental to science learning. Science exams therefore often include questions which require students to draw a visual representation, or to augment a partially provided one. The design features of such questions (e.g., layout of diagrams, amount of answer…
Descriptors: Science Education, Secondary Education, Visual Aids, Foreign Countries
Patel, Nirmal; Sharma, Aditya; Shah, Tirth; Lomas, Derek – Journal of Educational Data Mining, 2021
Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…
Descriptors: Learning Analytics, National Competency Tests, Evaluation Methods, Prediction
Lynch, Sarah – Practical Assessment, Research & Evaluation, 2022
In today's digital age, tests are increasingly being delivered on computers. Many of these computer-based tests (CBTs) have been adapted from paper-based tests (PBTs). However, this change in mode of test administration has the potential to introduce construct-irrelevant variance, affecting the validity of score interpretations. Because of this,…
Descriptors: Computer Assisted Testing, Tests, Scores, Scoring
Stenger, Rachel; Olson, Kristen; Smyth, Jolene D. – Field Methods, 2023
Questionnaire designers use readability measures to ensure that questions can be understood by the target population. The most common measure is the Flesch-Kincaid Grade level, but other formulas exist. This article compares six different readability measures across 150 questions in a self-administered questionnaire, finding notable variation in…
Descriptors: Readability, Readability Formulas, Computer Assisted Testing, Evaluation Methods
Lewis, Jennifer; Lim, Hwanggyu; Padellaro, Frank; Sireci, Stephen G.; Zenisky, April L. – Educational Measurement: Issues and Practice, 2022
Setting cut scores on (MSTs) is difficult, particularly when the test spans several grade levels, and the selection of items from MST panels must reflect the operational test specifications. In this study, we describe, illustrate, and evaluate three methods for mapping panelists' Angoff ratings into cut scores on the scale underlying an MST. The…
Descriptors: Cutting Scores, Adaptive Testing, Test Items, Item Analysis
Guher Gorgun; Okan Bulut – Educational Measurement: Issues and Practice, 2025
Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…
Descriptors: Artificial Intelligence, Quality Control, Technology Uses in Education, Automation
Ally, Said – International Journal of Education and Development using Information and Communication Technology, 2022
Moodle software has become the heart of teaching and learning services in education. The software is viewed as a trusted modern platform for transforming learning and teaching modes from conventional face-to-face to fully online classes. However, its use for online examination is very limited despite having a state-of-the-art Quiz Module with…
Descriptors: Integrated Learning Systems, Computer Assisted Testing, Information Security, Evaluation Methods
Umi Laili Yuhana; Eko Mulyanto Yuniarno; Wenny Rahayu; Eric Pardede – Education and Information Technologies, 2024
In an online learning environment, it is important to establish a suitable assessment approach that can be adapted on the fly to accommodate the varying learning paces of students. At the same time, it is essential that assessment criteria remain compliant with the expected learning outcomes of the relevant education standard which predominantly…
Descriptors: Adaptive Testing, Electronic Learning, Elementary School Students, Student Evaluation
Saputra, H.; Suhandi, A.; Setiawan, A.; Permanasari, A.; Firmansyah, J. – Physics Education, 2023
This study proposes an online practicum model supported by Wireless Sensor Network (WSN) to implement a physics practicum after the COVID-19 Pandemic. This system is guided by exploratory inquiry questions to help structure students' mindsets in answering investigative questions. Online practicum is also integrated with video conferencing, chat,…
Descriptors: Science Tests, Computer Assisted Testing, Physics, Practicums
Traditional vs Intersectional DIF Analysis: Considerations and a Comparison Using State Testing Data
Tony Albano; Brian F. French; Thao Thu Vo – Applied Measurement in Education, 2024
Recent research has demonstrated an intersectional approach to the study of differential item functioning (DIF). This approach expands DIF to account for the interactions between what have traditionally been treated as separate grouping variables. In this paper, we compare traditional and intersectional DIF analyses using data from a state testing…
Descriptors: Test Items, Item Analysis, Data Use, Standardized Tests