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Rice, Paul; Beeson, Paul; Blackmore-Wright, James – TechTrends: Linking Research and Practice to Improve Learning, 2019
Educational videos are becoming more prevalent within a higher education context and the use of videos is now taken for granted. However, the full impact videos have on learning is under researched and not fully known. This study was conducted to investigate the effectiveness of quiz questions embedded throughout a video. Students from different…
Descriptors: Educational Technology, Video Technology, Multiple Choice Tests, Outcomes of Education
Aray, Henry; Pedauga, Luis – Educational Measurement: Issues and Practice, 2019
This article presents a novel experimental methodology in which groups of students were offered the option to choose between two equivalent scoring rules to assess a multiple-choice test. The effect of choosing the scoring rule on marks is tested. Two major contributions arise from this research. First, it contributes to the literature on the…
Descriptors: Multiple Choice Tests, Scoring, Student Attitudes, Decision Making
Siegfried, Christin; Wuttke, Eveline – Citizenship, Social and Economics Education, 2019
Due to their test economy and objective evaluability, multiple-choice items are used much more frequently to test knowledge than constructed-response questions. However, studies point out that dependencies may exist between the individual test result and the test format (multiple-choice or constructed-response). Studies testing economic knowledge…
Descriptors: Multiple Choice Tests, Test Bias, Sex Fairness, Gender Differences
Kaleci, Devkan; Akleman, Ergun – World Journal on Educational Technology: Current Issues, 2019
One of the most important goals in E-learning is to guarantee that participants reach the learning objectives. We have observed that having the knowledge of the subject is not sufficient for reaching learning objectives. The participants must also develop understanding that they know the subject, which we have named confidence. In this work, we…
Descriptors: Electronic Learning, Evaluation, Knowledge Level, Self Esteem
A Hybrid Approach for Automatic Generation of Named Entity Distractors for Multiple Choice Questions
Patra, Rakesh; Saha, Sujan Kumar – Education and Information Technologies, 2019
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly popular in the last two decades. Despite a large amount of research effort, system generated MCQs are…
Descriptors: Multiple Choice Tests, High Stakes Tests, Semantics, Evaluation Methods
Wu, Qian; De Laet, Tinne; Janssen, Rianne – Journal of Educational Measurement, 2019
Single-best answers to multiple-choice items are commonly dichotomized into correct and incorrect responses, and modeled using either a dichotomous item response theory (IRT) model or a polytomous one if differences among all response options are to be retained. The current study presents an alternative IRT-based modeling approach to…
Descriptors: Multiple Choice Tests, Item Response Theory, Test Items, Responses
Samuel, Thomas; Azen, Razia; Campbell-Kyureghyan, Naira – Journal of Education and Learning, 2019
Training programs, in industry, are a common way to increase awareness and change the behavior of individuals. The most popular way to determine the effectiveness of the training on learning outcomes is to administer assessments with Multiple Choice Questions (MCQ) to the participants, despite the fact that in this type of assessment it is…
Descriptors: Outcomes of Education, Multiple Choice Tests, Pretests Posttests, Training Methods
van de Heyde, Valentino; Siebrits, Andre – Physics Teacher, 2019
In any science field, including physics, it is important to remain abreast of new assessment methods to cater to the 21st-century student. The rationale of this paper is to argue for a move away from the use of lower-order thinking skills (LOTS) in e-assessment in favor of higher-order thinking skills (HOTS), in line with Bloom's Revised Taxonomy.…
Descriptors: Thinking Skills, Physics, Science Instruction, Computer Assisted Testing
Atalmis, Erkan Hasan; Kingston, Neal Martin – SAGE Open, 2018
This study explored the impact of homogeneity of answer choices on item difficulty and discrimination. Twenty-two matched pairs of elementary and secondary mathematics items were administered to randomly equivalent samples of students. Each item pair comparison was treated as a separate study with the set of effect sizes analyzed using…
Descriptors: Test Items, Difficulty Level, Multiple Choice Tests, Mathematics Tests
Sunbul, Onder; Yormaz, Seha – International Journal of Evaluation and Research in Education, 2018
In this study Type I Error and the power rates of omega (?) and GBT (generalized binomial test) indices were investigated for several nominal alpha levels and for 40 and 80-item test lengths with 10,000-examinee sample size under several test level restrictions. As a result, Type I error rates of both indices were found to be below the acceptable…
Descriptors: Difficulty Level, Cheating, Duplication, Test Length
Sunbul, Onder; Yormaz, Seha – Eurasian Journal of Educational Research, 2018
Purpose: Several studies can be found in the literature that investigate the performance of ? under various conditions. However no study for the effects of item difficulty, item discrimination, and ability restrictions on the performance of ? could be found. The current study aims to investigate the performance of ? for the conditions given below.…
Descriptors: Test Items, Difficulty Level, Ability, Cheating
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
Madyarov, Irshat; Movsisyan, Vahe; Madoyan, Habet; Galikyan, Irena; Gasparyan, Rubina – ETS Research Report Series, 2021
The "TOEFL Junior"® Standard test is a tool for measuring the English language skills of students ages 11+ who learn English as an additional language. It is a paper-based multiple-choice test and measures proficiency in three sections: listening, form and meaning, and reading. To date, empirical evidence provides some support for the…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Standardized Tests
Savoldi, Fabio; Yeung, Andy W. K.; Tanaka, Ray; Mohammad Zadeh, Lisa S.; Montalvao, Carla; Bornstein, Michael M.; Tsoi, James K. H. – Anatomical Sciences Education, 2021
Learning bone anatomy of the skull is a complex topic involving three-dimensional information. The impact of the use of human dry skulls and cone beam computed tomography (CBCT) imaging was investigated in the teaching of undergraduate dental students. Sixty-four first-year students in the University of Hong Kong were randomly divided into eight…
Descriptors: Anatomy, Dental Schools, Dentistry, Foreign Countries
Merry, Justin W.; Elenchin, Mary Kate; Surma, Renee N. – Advances in Physiology Education, 2021
Multiple choice exams are ubiquitous, but advice on test-taking strategies varies and is not always well informed by research. This study evaluated the question of whether students benefit or are harmed when they change their initial answers on multiple choice questions in the context of physiology and biology courses. Previously marked…
Descriptors: Multiple Choice Tests, Physiology, Biology, Science Instruction

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