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van den Broek, Gesa S. E.; Gerritsen, Suzanne L.; Oomen, Iris T. J.; Velthoven, Eva; van Boxtel, Femke H. J.; Kester, Liesbeth; van Gog, Tamara – Journal of Educational Psychology, 2023
Multiple-choice questions (MCQs) are popular in vocabulary software because they can be scored automatically and are compatible with many input devices (e.g., touchscreens). Answering MCQs is beneficial for learning, especially when learners retrieve knowledge from memory to evaluate plausible answer alternatives. However, such retrieval may not…
Descriptors: Multiple Choice Tests, Vocabulary Development, Test Format, Cues
Ivan D. Mardini G.; Christian G. Quintero M.; César A. Viloria N.; Winston S. Percybrooks B.; Heydy S. Robles N.; Karen Villalba R. – Education and Information Technologies, 2024
Today reading comprehension is considered an essential skill in modern life, therefore, higher education students require more specific skills to understand, interpret and evaluate texts effectively. Short answer questions (SAQs) are one of the relevant and proper tools for assessing reading comprehension skills. Unlike multiple-choice questions,…
Descriptors: Reading Comprehension, Reading Tests, Learning Strategies, Grading
Celeste Combrinck – SAGE Open, 2024
We have less time and focus than ever before, while the demand for attention is increasing. Therefore, it is no surprise that when answering questionnaires, we often choose to strongly agree or be neutral, producing problematic and unusable data. The current study investigated forced-choice (ipsative) format compared to the same questions on a…
Descriptors: Likert Scales, Test Format, Surveys, Design
Kyung-Mi O. – Language Testing in Asia, 2024
This study examines the efficacy of artificial intelligence (AI) in creating parallel test items compared to human-made ones. Two test forms were developed: one consisting of 20 existing human-made items and another with 20 new items generated with ChatGPT assistance. Expert reviews confirmed the content parallelism of the two test forms.…
Descriptors: Comparative Analysis, Artificial Intelligence, Computer Software, Test Items
Guo, Wenjing; Wind, Stefanie A. – Journal of Educational Measurement, 2021
The use of mixed-format tests made up of multiple-choice (MC) items and constructed response (CR) items is popular in large-scale testing programs, including the National Assessment of Educational Progress (NAEP) and many district- and state-level assessments in the United States. Rater effects, or raters' scoring tendencies that result in…
Descriptors: Test Format, Multiple Choice Tests, Scoring, Test Items
Agarwal, Pooja K.; Nunes, Ludmila D.; Blunt, Janell R. – Educational Psychology Review, 2021
Given the growing interest in retrieval practice among educators, it is valuable to know when retrieval practice does and does not improve student learning--particularly for educators who have limited classroom time and resources. In this literature review, we developed a narrow operational definition for "classroom research" compared to…
Descriptors: Educational Research, Information Retrieval, Effect Size, Instructional Program Divisions
Schulte, Niklas; Holling, Heinz; Bürkner, Paul-Christian – Educational and Psychological Measurement, 2021
Forced-choice questionnaires can prevent faking and other response biases typically associated with rating scales. However, the derived trait scores are often unreliable and ipsative, making interindividual comparisons in high-stakes situations impossible. Several studies suggest that these problems vanish if the number of measured traits is high.…
Descriptors: Questionnaires, Measurement Techniques, Test Format, Scoring
Kang, Hyeon-Ah; Han, Suhwa; Kim, Doyoung; Kao, Shu-Chuan – Educational and Psychological Measurement, 2022
The development of technology-enhanced innovative items calls for practical models that can describe polytomous testlet items. In this study, we evaluate four measurement models that can characterize polytomous items administered in testlets: (a) generalized partial credit model (GPCM), (b) testlet-as-a-polytomous-item model (TPIM), (c)…
Descriptors: Goodness of Fit, Item Response Theory, Test Items, Scoring
Yang, Li-Ping; Xin, Tao – Educational Measurement: Issues and Practice, 2022
The upgrade educational information technology triggered by COVID-19 has shaped a new educational order and new educational forms. As a result, traditional educational measurement is now facing a systematic transformation, that is, from the Assessment of Learning (AoL) to Assessment for Learning (AfL), and finally to Assessment as Learning (AaL).…
Descriptors: Educational Assessment, Information Technology, Educational Technology, COVID-19
Jang, Jung Un; Kim, Eun Joo – Journal of Curriculum and Teaching, 2022
This study conducts the validity of the pen-and-paper and smart-device-based tests on optician's examination. The developed questions for each media were based on the national optician's simulation test. The subjects of this study were 60 students enrolled in E University. The data analysis was performed to verify the equivalence of the two…
Descriptors: Optometry, Licensing Examinations (Professions), Test Format, Test Validity
Opstad, Leiv; Pettersen, Ivar – Educational Process: International Journal, 2022
Background/purpose: Home-based exams were introduced during COVID-19 with an open-book format and limited control over dishonest student behavior. Such exams were used in lieu of traditional, closed-book school-based exams as a necessity due to the pandemic. This article investigates whether or not students' grades from home-based assessment exams…
Descriptors: Home Study, Tests, COVID-19, Pandemics
Anna Caroline Keefe – ProQuest LLC, 2022
Computer-assisted assessment continues to be incorporated into more and more mathematics courses. As this method of testing is used, questions are created to use through computer-assisted assessment. This study analyzed two types of questions used on computer-assisted assessment in Calculus I, II, and III courses. The first question type was…
Descriptors: Psychometrics, Computer Assisted Testing, Technology Integration, Calculus
Goran Trajkovski; Heather Hayes – Digital Education and Learning, 2025
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…
Descriptors: Artificial Intelligence, Educational Assessment, Computer Uses in Education, Test Format
Conoyer, Sarah J.; Wagner, Kyle B.; Janssen, Kristen K.; Jewell, Jeremy D.; McKenney, Elizabeth L. W. – Assessment for Effective Intervention, 2023
As content literacy intervention is expanded in schools, data-based decision-making practices need to also advance, especially in the areas of science. Vocabulary-matching curriculum-based measures (VM-CBM) may allow educators to identify students needing additional support in science vocabulary to assist with using and comprehending disciplinary…
Descriptors: Curriculum Based Assessment, Elementary School Science, Vocabulary, Benchmarking
Jeremy L. Hsu; Noelle Clark; Kate Hill; Melissa Rowland-Goldsmith – CBE - Life Sciences Education, 2023
Nearly all undergraduate biology courses rely on quizzes and exams. Despite their prevalence, very little work has been done to explore how the framing of assessment questions may influence student performance and affect. Here, we conduct a quasi-random experimental study where students in different sections of the same course were given…
Descriptors: Undergraduate Students, Biology, Science Education, Test Construction