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Chernikova, Olga; Heitzmann, Nicole; Stadler, Matthias; Holzberger, Doris; Seidel, Tina; Fischer, Frank – Review of Educational Research, 2020
Simulation-based learning offers a wide range of opportunities to practice complex skills in higher education and to implement different types of scaffolding to facilitate effective learning. This meta-analysis includes 145 empirical studies and investigates the effectiveness of different scaffolding types and technology in simulation-based…
Descriptors: Simulation, Higher Education, Instructional Effectiveness, Scaffolding (Teaching Technique)
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Abrandt Dahlgren, Madeleine; Fenwick, Tara; Hopwood, Nick – Teaching in Higher Education, 2016
Despite the widespread interest in using and researching simulation in higher education, little discussion has yet to address a key pedagogical concern: difficulty. A "sociomaterial" view of learning, explained in this paper, goes beyond cognitive considerations to highlight dimensions of material, situational, representational and…
Descriptors: Simulation, Higher Education, Social Theories, Experiential Learning
Bell, Margaret E. – Simulation/Games for Learning, 1982
Describes the game STRATAGEM and its usage by university students preparing for examinations. The game, which comprises questions coded by topic and level of complexity (recall, application, and inference), is designed to focus student attention on important content, foster accurate assessment of team potential, and encourage risk-taking.…
Descriptors: Difficulty Level, Educational Games, Group Dynamics, Higher Education
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Wise, Steven L.; Finney, Sara J.; Enders, Craig K.; Freeman, Sharon A.; Severance, Donald D. – Applied Measurement in Education, 1999
Examined whether providing item review on a computerized adaptive test could be used by examinees to inflate their scores. Two studies involving 139 undergraduates suggest that examinees are not highly proficient at discriminating item difficulty. A simulation study showed the usefulness of a strategy identified by G. Kingsbury (1996) as a way to…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Higher Education
McKinley, Robert L.; Reckase, Mark D. – 1983
Real test data of unknown structure were analyzed using both a unidimensional and a multidimensional latent trait model in an attempt to determine the underlying components of the test. The models used were the three-parameter logistic model and a multidimensional extension of the two-parameter logistic model. The basic design for the analysis of…
Descriptors: Data Analysis, Difficulty Level, Goodness of Fit, Higher Education
Lazarte, Alejandro A. – 1999
Two experiments reproduced in a simulated computerized test-taking situation the effect of two of the main determinants in answering an item in a test: the difficulty of the item and the time available to answer it. A model is proposed for the time to respond or abandon an item and for the probability of abandoning it or answering it correctly. In…
Descriptors: Computer Assisted Testing, Difficulty Level, Higher Education, Probability
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Etzion, Dalia; Segev, Eli – Simulation and Games, 1984
Describes a study which used a graduate-level business game to examine consequences of objectively determined fit between managers' specialized competence and their functional roles in terms of individual and group performance. The game simulates a work environment of top-level management in industrial firms with responsibility for making…
Descriptors: Administrator Education, Competence, Difficulty Level, Educational Games