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Showing 1 to 15 of 42 results Save | Export
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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
Yu Wang – ProQuest LLC, 2024
The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…
Descriptors: Multiple Choice Tests, Cognitive Tests, Cognitive Measurement, Educational Diagnosis
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Greving, Sven; Lenhard, Wolfgang; Richter, Tobias – Journal of Computer Assisted Learning, 2020
Retrieval practice promotes retention more than restudying (i.e., the "testing effect") and is applied to many educational settings. However, little research has investigated means to enhance this effect in educational settings. Theoretical accounts assume retrieval practice to be the most effective whenever retrieval is difficult but…
Descriptors: Multiple Choice Tests, Recall (Psychology), Retention (Psychology), Adaptive Testing
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Wise, Steven L.; Soland, James; Dupray, Laurence M. – Journal of Applied Testing Technology, 2021
Technology-Enhanced Items (TEIs) have been purported to be more motivating and engaging to test takers than traditional multiple-choice items. The claim of enhanced engagement, however, has thus far received limited research attention. This study examined the rates of rapid-guessing behavior received by three types of items (multiple-choice,…
Descriptors: Test Items, Guessing (Tests), Multiple Choice Tests, Achievement Tests
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Barnard, John J. – Practical Assessment, Research & Evaluation, 2018
Measurement specialists strive to shorten assessment time without compromising precision of scores. Computerized Adaptive Testing (CAT) has rapidly gained ground over the past decades to fulfill this goal. However, parameters for implementation of CATs need to be explored in simulations before implementation so that it can be determined whether…
Descriptors: Computer Assisted Testing, Adaptive Testing, Simulation, Multiple Choice Tests
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Andrich, David; Marais, Ida – Journal of Educational Measurement, 2018
Even though guessing biases difficulty estimates as a function of item difficulty in the dichotomous Rasch model, assessment programs with tests which include multiple-choice items often construct scales using this model. Research has shown that when all items are multiple-choice, this bias can largely be eliminated. However, many assessments have…
Descriptors: Multiple Choice Tests, Test Items, Guessing (Tests), Test Bias
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Abidin, Aang Zainul; Istiyono, Edi; Fadilah, Nunung; Dwandaru, Wipsar Sunu Brams – International Journal of Evaluation and Research in Education, 2019
Classical assessments that are not comprehensive and do not distinguish students' initial abilities make measurement results far from the actual abilities. This study was conducted to produce a computerized adaptive test for physics critical thinking skills (CAT-PhysCriTS) that met the feasibility criteria. The test was presented for the physics…
Descriptors: Foreign Countries, High School Students, Grade 11, Physics
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Albacete, Patricia; Silliman, Scott; Jordan, Pamela – Grantee Submission, 2017
Intelligent tutoring systems (ITS), like human tutors, try to adapt to student's knowledge level so that the instruction is tailored to their needs. One aspect of this adaptation relies on the ability to have an understanding of the student's initial knowledge so as to build on it, avoiding teaching what the student already knows and focusing on…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Multiple Choice Tests, Computer Assisted Testing
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Sun, Bo; Zhu, Yunzong; Xiao, Yongkang; Xiao, Rong; Wei, Yungang – IEEE Transactions on Learning Technologies, 2019
In recent years, computerized adaptive testing (CAT) has gained popularity as an important means to evaluate students' ability. Assigning tags to test questions is crucial in CAT. Manual tagging is widely used for constructing question banks; however, this approach is time-consuming and might lead to consistency issues. Automatic question tagging,…
Descriptors: Computer Assisted Testing, Student Evaluation, Test Items, Multiple Choice Tests
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Lau, Paul Ngee Kiong; Lau, Sie Hoe; Hong, Kian Sam; Usop, Hasbee – Educational Technology & Society, 2011
The number right (NR) method, in which students pick one option as the answer, is the conventional method for scoring multiple-choice tests that is heavily criticized for encouraging students to guess and failing to credit partial knowledge. In addition, computer technology is increasingly used in classroom assessment. This paper investigates the…
Descriptors: Guessing (Tests), Multiple Choice Tests, Computers, Scoring
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Schultz, Madeleine – Journal of Learning Design, 2011
This paper reports on the development of a tool that generates randomised, non-multiple choice assessment within the BlackBoard Learning Management System interface. An accepted weakness of multiple-choice assessment is that it cannot elicit learning outcomes from upper levels of Biggs' SOLO taxonomy. However, written assessment items require…
Descriptors: Foreign Countries, Feedback (Response), Student Evaluation, Large Group Instruction
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Vuk, Jasna; Morse, David T. – Research in the Schools, 2009
In this study we observed college students' behavior on two self-tailored, multiple-choice exams. Self-tailoring was defined as an option to omit up to five items from being scored on an exam. Participants, 80 undergraduate college students enrolled in two sections of an educational psychology course, statistically significantly improved their…
Descriptors: College Students, Educational Psychology, Academic Achievement, Correlation
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Abad, Francisco J.; Olea, Julio; Ponsoda, Vicente – Applied Psychological Measurement, 2009
This article deals with some of the problems that have hindered the application of Samejima's and Thissen and Steinberg's multiple-choice models: (a) parameter estimation difficulties owing to the large number of parameters involved, (b) parameter identifiability problems in the Thissen and Steinberg model, and (c) their treatment of omitted…
Descriptors: Multiple Choice Tests, Models, Computation, Simulation
Sie Hoe, Lau; Ngee Kiong, Lau; Kian Sam, Hong; Bin Usop, Hasbee – Online Submission, 2009
Assessment is central to any educational process. Number Right (NR) scoring method is a conventional scoring method for multiple choice items, where students need to pick one option as the correct answer. One point is awarded for the correct response and zero for any other responses. However, it has been heavily criticized for guessing and failure…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Adaptive Testing, Scoring
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Segall, Daniel O. – Psychometrika, 2001
Proposed and evaluated two new methods of improving the measurement precision of a general test factor. One provides a multidimensional item response theory estimate based on administrations of multiple-choice test items that span general and nuisance dimensions, and the other chooses items adaptively to maximize the precision of the general…
Descriptors: Ability, Adaptive Testing, Item Response Theory, Measurement Techniques
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