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Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
Li, Shan; Huang, Xiaoshan; Wang, Tingting; Pan, Zexuan; Lajoie, Susanne P. – Journal of Learning Analytics, 2022
This study examines the temporal co-occurrences of self-regulated learning (SRL) activities and three types of knowledge (i.e., task information, domain knowledge, and metacognitive knowledge) of 34 medical students who solved two tasks of varying complexity in a computer-simulated environment. Specifically, we explored how task complexity…
Descriptors: Correlation, Metacognition, Task Analysis, Difficulty Level
Abulela, Mohammed A. A.; Rios, Joseph A. – Applied Measurement in Education, 2022
When there are no personal consequences associated with test performance for examinees, rapid guessing (RG) is a concern and can differ between subgroups. To date, the impact of differential RG on item-level measurement invariance has received minimal attention. To that end, a simulation study was conducted to examine the robustness of the…
Descriptors: Comparative Analysis, Robustness (Statistics), Nonparametric Statistics, Item Analysis
Asiret, Semih; Sünbül, Seçil Ömür – Educational Sciences: Theory and Practice, 2016
In this study, equating methods for random group design using small samples through factors such as sample size, difference in difficulty between forms, and guessing parameter was aimed for comparison. Moreover, which method gives better results under which conditions was also investigated. In this study, 5,000 dichotomous simulated data…
Descriptors: Equated Scores, Sample Size, Difficulty Level, Guessing (Tests)
Kardipah, Seipah; Wibawa, Basuki – TechTrends: Linking Research and Practice to Improve Learning, 2020
This quasi-experimental study was conducted to investigate the effectiveness of PBL (problem-based learning) in a Flipped-Blended learning environment for improving the performance in a Computer Application Course of Bachelor of Economics for first year students at the Muhammadiyah School of Economics Jakarta, Indonesia. The respondents of this…
Descriptors: Blended Learning, Computer Simulation, Computer Literacy, Instructional Effectiveness
Bajwa, Neet Priya; Perry, Michelle – Mathematical Thinking and Learning: An International Journal, 2021
Elementary school students struggle in interpreting the equal sign as a symbol denoting equivalence. Although many have advocated using a pan-balance scale to help students develop this understanding, less is known about what features associated with this model support learning. To attempt to control and examine these features, the investigators…
Descriptors: Mathematics Skills, Mathematics Instruction, Elementary School Students, Concept Formation
Fitzpatrick, Joseph; Skorupski, William P. – Journal of Educational Measurement, 2016
The equating performance of two internal anchor test structures--miditests and minitests--is studied for four IRT equating methods using simulated data. Originally proposed by Sinharay and Holland, miditests are anchors that have the same mean difficulty as the overall test but less variance in item difficulties. Four popular IRT equating methods…
Descriptors: Difficulty Level, Test Items, Comparative Analysis, Test Construction
Matlock, Ki Lynn; Turner, Ronna – Educational and Psychological Measurement, 2016
When constructing multiple test forms, the number of items and the total test difficulty are often equivalent. Not all test developers match the number of items and/or average item difficulty within subcontent areas. In this simulation study, six test forms were constructed having an equal number of items and average item difficulty overall.…
Descriptors: Item Response Theory, Computation, Test Items, Difficulty Level
Shiroyama, Tomotaka – Research-publishing.net, 2022
The aim of this study is to compare how two different Virtual Exchanges (VE) contribute to language learning in a Japanese university context. Task-Based Language Teaching (TBLT) using VE has been a focus in this study. There are huge advantages of using technology in language teaching such as increasing language use opportunities, feedback, and…
Descriptors: Pilot Projects, Comparative Analysis, Difficulty Level, Second Language Learning
Öllinger, Michael; Hammon, Stephanie; von Grundherr, Michael; Funke, Joachim – Educational Technology Research and Development, 2015
Causal mapping is often recognized as a technique to support strategic decisions and actions in complex problem situations. Such drawing of causal structures is supposed to particularly foster the understanding of the interaction of the various system elements and to further encourage holistic thinking. It builds on the idea that humans make use…
Descriptors: Problem Solving, Causal Models, Cognitive Mapping, Computer Simulation
Sotgiu, Maria Alessandra; Mazzarello, Vittorio; Bandiera, Pasquale; Madeddu, Roberto; Montella, Andrea; Moxham, Bernard – Anatomical Sciences Education, 2020
Neuroanatomy has been deemed crucial for clinical neurosciences. It has been one of the most challenging parts of the anatomical curriculum and is one of the causes of "neurophobia," whose main implication is a negative influence on the choice of neurology in the near future. In the last decades, several educational strategies have been…
Descriptors: Neurology, Anatomy, Neurosciences, Learning Processes
Martin-Fernandez, Manuel; Revuelta, Javier – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
This study compares the performance of two estimation algorithms of new usage, the Metropolis-Hastings Robins-Monro (MHRM) and the Hamiltonian MCMC (HMC), with two consolidated algorithms in the psychometric literature, the marginal likelihood via EM algorithm (MML-EM) and the Markov chain Monte Carlo (MCMC), in the estimation of multidimensional…
Descriptors: Bayesian Statistics, Item Response Theory, Models, Comparative Analysis
Ozturk, Nagihan Boztunc; Dogan, Nuri – Educational Sciences: Theory and Practice, 2015
This study aims to investigate the effects of item exposure control methods on measurement precision and on test security under various item selection methods and item pool characteristics. In this study, the Randomesque (with item group sizes of 5 and 10), Sympson-Hetter, and Fade-Away methods were used as item exposure control methods. Moreover,…
Descriptors: Computer Assisted Testing, Item Analysis, Statistical Analysis, Comparative Analysis
Moothedath, Shana; Chaporkar, Prasanna; Belur, Madhu N. – Perspectives in Education, 2016
In recent years, the computerised adaptive test (CAT) has gained popularity over conventional exams in evaluating student capabilities with desired accuracy. However, the key limitation of CAT is that it requires a large pool of pre-calibrated questions. In the absence of such a pre-calibrated question bank, offline exams with uncalibrated…
Descriptors: Guessing (Tests), Computer Assisted Testing, Adaptive Testing, Maximum Likelihood Statistics
Schroeder, Noah L. – Educational Technology & Society, 2017
According to cognitive load theorists, the incorporation of extraneous features, such as pedagogical agents, into the learning environment can introduce extraneous cognitive load and thus interfere with learning outcome scores. In this study, the influence of a pedagogical agent's presence in an instructional video was compared to a video that did…
Descriptors: Teaching Methods, Cognitive Processes, Difficulty Level, Teacher Influence

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