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Yavuz Akbulut – European Journal of Education, 2024
The testing effect refers to the gains in learning and retention that result from taking practice tests before the final test. Understanding the conditions under which practice tests improve learning is crucial, so four experiments were conducted with a total of 438 undergraduate students in Turkey. In the first study, students who took graded…
Descriptors: Foreign Countries, Undergraduate Students, Student Evaluation, Testing
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Karen Singer-Freeman – Assessment Update, 2024
A common feature of many assessment plans is the use of multiple-choice questions. Although there are criticisms of multiple-choice questions, this assessment format is here to stay--multiple-choice questions are effective means of evaluation in large classes, central to many licensing and entry exams, used in most adaptive learning platforms, and…
Descriptors: Test Construction, Multiple Choice Tests, Student Evaluation, Learning Processes
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Maristela Petrovic-Dzerdz – Collected Essays on Learning and Teaching, 2024
Large introductory classes, with their expansive curriculum, demand assessment strategies that blend efficiency with reliability, prompting the consideration of multiple-choice (MC) tests as a viable option. Crafting a high-quality MC test, however, necessitates a meticulous process involving reflection on assessment format appropriateness, test…
Descriptors: Multiple Choice Tests, Test Construction, Test Items, Alignment (Education)
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Lae Lae Shwe; Sureena Matayong; Suntorn Witosurapot – Education and Information Technologies, 2024
Multiple Choice Questions (MCQs) are an important evaluation technique for both examinations and learning activities. However, the manual creation of questions is time-consuming and challenging for teachers. Hence, there is a notable demand for an Automatic Question Generation (AQG) system. Several systems have been created for this aim, but the…
Descriptors: Difficulty Level, Computer Assisted Testing, Adaptive Testing, Multiple Choice Tests
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Stanislav Pozdniakov; Jonathan Brazil; Mehrnoush Mohammadi; Mollie Dollinger; Shazia Sadiq; Hassan Khosravi – Journal of Learning Analytics, 2025
Engaging students in creating high-quality novel content, such as educational resources, promotes deep and higher-order learning. However, students often lack the necessary training or knowledge to produce such content. To address this gap, this paper explores the potential of incorporating generative AI (GenAI) to review students' work and…
Descriptors: Student Evaluation, Artificial Intelligence, Student Developed Materials, Feedback (Response)
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Wind, Stefanie A.; Ge, Yuan – Educational and Psychological Measurement, 2021
Practical constraints in rater-mediated assessments limit the availability of complete data. Instead, most scoring procedures include one or two ratings for each performance, with overlapping performances across raters or linking sets of multiple-choice items to facilitate model estimation. These incomplete scoring designs present challenges for…
Descriptors: Evaluators, Scoring, Data Collection, Design
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Neto, Joana; Neto, Félix; Furnham, Adrian – Assessment & Evaluation in Higher Education, 2023
The aim of this study is to examine whether a preference for specific assessment methods in higher education is associated with personality and character strengths. Two-hundred and seventy Portuguese students completed a survey of character strengths, a Big Five personality test and their preference for each of six higher education assessment…
Descriptors: Predictor Variables, Student Attitudes, Preferences, Evaluation Methods
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Jaya Shukla; Ram Manohar Singh – Metacognition and Learning, 2024
Knowledge exploration refers to actively seeking information, ideas, and experiences, often beyond immediate task requirements. Previous research on exploratory behaviour has predominantly focused on visual and perceptual forms of exploration, overlooking the academic aspect, where the aim is to bridge knowledge gaps. To test the effect of task…
Descriptors: Feedback (Response), Self Esteem, Student Motivation, Student Behavior
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Falcão, Filipe; Costa, Patrício; Pêgo, José M. – Advances in Health Sciences Education, 2022
Background: Current demand for multiple-choice questions (MCQs) in medical assessment is greater than the supply. Consequently, an urgency for new item development methods arises. Automatic Item Generation (AIG) promises to overcome this burden, generating calibrated items based on the work of computer algorithms. Despite the promising scenario,…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Test Items, Medical Education
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Wood, Eileen; Klausz, Noah; MacNeil, Stephen – Innovative Higher Education, 2022
Learning gains associated with multiple-choice testing formats that provide immediate feedback (e.g., IFAT®) are often greater than those for typical single-choice delayed feedback formats (e.g. Scantron®). Immediate feedback formats also typically permit part marks unlike delayed feedback formats. The present study contrasted IFAT® with a new…
Descriptors: Academic Achievement, Computer Assisted Testing, Feedback (Response), Organic Chemistry
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Iqbal, Zafar; Saleem, Khalid; Arshad, Hafiz Muhammad – Educational Studies, 2023
To improve the teaching-learning processes, the Government of Pakistan and UNESCO developed professional standards for teachers to standardise student assessments based on assessment types, use of assessment results, measurement theories, and assessment-related issues. Most tools developed for measuring teachers' knowledge of student assessment do…
Descriptors: Knowledge Level, Student Evaluation, Test Construction, Test Validity
Lance Shultz – ProQuest LLC, 2024
Multiple-true-false (MTF) assessments can provide granular feedback on course materials, which stems from the format of the MTF question and helps to enhance student understanding and illuminates misconceptions that can be hidden with other assessment types (Brassil & Couch, 2019). The purpose of this study was to document how students use and…
Descriptors: Objective Tests, Multiple Choice Tests, Test Items, Student Evaluation
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Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
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Lyon, Katherine; Roberson, Nathan; Lam, Mark; Riccardi, Daniel; Lightfoot, Jennifer; Lolliot, Simon – Teaching Sociology, 2023
Multiple-choice questions (MCQs) are widely used in large introductory courses. Recent research focuses on MCQ reliability and validity and overlooks questions of accessibility. Yet, access to the norms of academic discourse embedded in MCQs differs between groups of first-year students. We theorize these norms as part of the institutionalized…
Descriptors: English (Second Language), Multiple Choice Tests, Sociology, Psychology
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Michael Gurlea; Colleen Fitzpatrick; Stephanie van Hover; Ariel Cornett – High School Journal, 2023
This case study explored how a teacher, Ms. Walter, and her students experienced a unit of study on market structures in an Advanced Placement (AP) Microeconomics course. We employed qualitative research methods, drawing on the work of Nuthall and Alton-Lee, to connect students' experiences of classroom instruction to their reasoning on an…
Descriptors: High School Students, Economics Education, Microeconomics, Multiple Choice Tests
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