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Christopher Wheatley; James Wells; John Stewart – Physical Review Physics Education Research, 2024
The Brief Electricity and Magnetism Assessment (BEMA) is a multiple-choice instrument commonly used to measure introductory undergraduate students' conceptual understanding of electricity and magnetism. This study used a network analysis technique called modified module analysis-partial (MMA-P) to identify clusters of correlated responses, also…
Descriptors: Multiple Choice Tests, Energy, Magnets, Undergraduate Students
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Patricia Dowsett; Nathanael Reinertsen – Australian Journal of Language and Literacy, 2023
Senior secondary Literature courses in Australia all aim, to various extents, to develop students' critical literacy skills. These aims share emphases on reading, reflecting and responding critically to texts, on critical analysis and critical ideas, and on forming interpretations informed by critical perspectives. Critical literacy is not…
Descriptors: Foreign Countries, High School Students, Literacy, Multiple Choice Tests
Victoria Crisp; Sylvia Vitello; Abdullah Ali Khan; Heather Mahy; Sarah Hughes – Research Matters, 2025
This research set out to enhance our understanding of the exam techniques and types of written annotations or markings that learners may wish to use to support their thinking when taking digital multiple-choice exams. Additionally, we aimed to further explore issues around the factors that contribute to learners writing less rough work and…
Descriptors: Computer Assisted Testing, Test Format, Multiple Choice Tests, Notetaking
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Christian Myles; Laura Gorman; James F. X. Jones – Anatomical Sciences Education, 2025
Textbook anatomy depiction of the hepatobiliary tree is present in 55%-62% of the population. Misidentification of hepatobiliary variants can lead to bile duct injuries in cholecystectomies. A better understanding of variants has been cited as a key area for improvement in anatomy education. The aim of this study was to compare the effectiveness…
Descriptors: Computer Peripherals, Printing, Science Instruction, Teaching Methods
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Mingfeng Xue; Mark Wilson – Applied Measurement in Education, 2024
Multidimensionality is common in psychological and educational measurements. This study focuses on dimensions that converge at the upper anchor (i.e. the highest acquisition status defined in a learning progression) and compares different ways of dealing with them using the multidimensional random coefficients multinomial logit model and scale…
Descriptors: Learning Trajectories, Educational Assessment, Item Response Theory, Evolution
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Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Attention, Natural Language Processing
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Berenbon, Rebecca F.; McHugh, Bridget C. – Educational Measurement: Issues and Practice, 2023
To assemble a high-quality test, psychometricians rely on subject matter experts (SMEs) to write high-quality items. However, SMEs are not typically given the opportunity to provide input on which content standards are most suitable for multiple-choice questions (MCQs). In the present study, we explored the relationship between perceived MCQ…
Descriptors: Test Items, Multiple Choice Tests, Standards, Difficulty Level
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Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
Automated multiple-choice question (MCQ) generation is valuable for scalable assessment and enhanced learning experiences. How-ever, existing MCQ generation methods face challenges in ensuring plausible distractors and maintaining answer consistency. This paper intro-duces a method for MCQ generation that integrates reasoning-based explanations…
Descriptors: Automation, Computer Assisted Testing, Multiple Choice Tests, Natural Language Processing
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Laura S. Kabiri; Thomas M. McCabe; Catherine R. Barber; Augusto X. Rodriguez – HAPS Educator, 2025
Student-centered teaching techniques and equitable assessments are crucial in high-quality education. Asking students to write multiple-choice questions (MCQs) over course content and including them on exams may address both concurrently. Much of the work surveying students' responses to this practice involved graduate level education in…
Descriptors: Learner Engagement, Student Satisfaction, Student Developed Materials, Multiple Choice Tests
Alan D. Koenig; John J. Lee; Eric Savitsky; Gabriele Nataneli; Karson Lindstrom; David L. Schriger; Tyler Savitsky – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2025
The urgent need to train military and civilian responders in combat casualty care during large-scale operations presents challenges due to the variability of learner preparedness and the resource demands of traditional curriculum development. This study examines the application of generative artificial intelligence (AI) in authoring and evaluating…
Descriptors: Artificial Intelligence, Computer Uses in Education, Medical Education, Multiple Choice Tests
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Harnejan K. Atwal; Kenjiro W. Quides – Journal of Microbiology & Biology Education, 2024
Many 4-year public institutions face significant pedagogical challenges due to the high ratio of students to teaching team members. To address the issue, we developed a workflow using the programming language R as a method to rapidly grade multiple-choice questions, adjust for errors, and grade answer-dependent style multiple-choice questions,…
Descriptors: Programming Languages, Public Colleges, Grading, Holistic Evaluation
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Archana Praveen Kumar; Ashalatha Nayak; Manjula Shenoy K.; Chaitanya; Kaustav Ghosh – International Journal of Artificial Intelligence in Education, 2024
Multiple Choice Questions (MCQs) are a popular assessment method because they enable automated evaluation, flexible administration and use with huge groups. Despite these benefits, the manual construction of MCQs is challenging, time-consuming and error-prone. This is because each MCQ is comprised of a question called the "stem", a…
Descriptors: Multiple Choice Tests, Test Construction, Test Items, Semantics
Xiangyi Liao – ProQuest LLC, 2024
Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…
Descriptors: Item Response Theory, Educational Research, Measurement, Evaluation Methods
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Badali, Sabrina; Rawson, Katherine A.; Dunlosky, John – Educational Psychology Review, 2023
Multiple-choice practice tests are beneficial for learning, and students encounter multiple-choice questions regularly. How do students regulate their use of multiple-choice practice testing? And, how effective is students' use of multiple-choice practice testing? In the current experiments, undergraduate participants practiced German-English word…
Descriptors: Undergraduate Students, Drills (Practice), Multiple Choice Tests, Student Behavior
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Gayman, C. M.; Jimenez, S. T.; Hammock, S.; Taylor, S.; Rocheleau, J. M. – Journal of Behavioral Education, 2023
Interteaching is a behavioral teaching method that has been empirically shown to increase student learning outcomes. The present study investigated the effect of combining interteaching with cumulative versus noncumulative exams in two sections of an online asynchronous class. Interteaching was used in both sections of the course. The…
Descriptors: Teaching Methods, Testing, Online Courses, Asynchronous Communication
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