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Alstete, Jeffrey W. – Journal of International Education in Business, 2023
Purpose: The increasing need for student engagement and the wide availability of digital teaching resources are providing opportunities for careful consideration and planning of assignments within and among business management courses. This paper aims to examine implementation strategies for integrating multiple business simulations with gradually…
Descriptors: Learner Engagement, Simulation, Business Administration Education, Experiential Learning
Obaid, Teeba; Nesbit, John C.; Mahmoody Ghaidary, Ahmad; Jain, Misha; Hajian, Shiva – Instructional Science: An International Journal of the Learning Sciences, 2023
Understanding scientific phenomena requires learners to construct mental models of causal systems. Simulation-based discovery learning offers learners the opportunity to construct mental models and test them against the behavior of a simulation. The purpose of this study was to investigate sequential patterns of learner actions and utterances…
Descriptors: Inferences, Simulation, Discovery Learning, Science Education
Ziying Li; A. Corinne Huggins-Manley; Walter L. Leite; M. David Miller; Eric A. Wright – Educational and Psychological Measurement, 2022
The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of…
Descriptors: Sequential Approach, Item Response Theory, Data, Simulation
Wind, Stefanie A. – Language Testing, 2023
Researchers frequently evaluate rater judgments in performance assessments for evidence of differential rater functioning (DRF), which occurs when rater severity is systematically related to construct-irrelevant student characteristics after controlling for student achievement levels. However, researchers have observed that methods for detecting…
Descriptors: Evaluators, Decision Making, Student Characteristics, Performance Based Assessment

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