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Okan Yetisensoy – Journal of Pedagogical Research, 2025
Generative artificial intelligence (GenAI) models have led to many positive changes in educational settings; however, the validity of the content they produce remains a significant topic of academic discussion. This research aims to determine the validity of content produced by text-to-image models within the context of social studies education.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Validity, Models
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Jones, Natalie D.; Azzam, Tarek; Wanzer, Dana Linnell; Skousen, Darrel; Knight, Ciara; Sabarre, Nina – American Journal of Evaluation, 2020
One of the most widely used communication tools in evaluation is the logic model. Despite its extensive use, there has been little research into the visualization aspect of the logic model. To assess the impact that design modifications would have on its effectiveness, we applied established visualization principles to revise a program model.…
Descriptors: Logical Thinking, Models, Visualization, Accuracy
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Guspatni, Guspatni – Chemistry Education Research and Practice, 2021
Student-generated drawings are known to be effective in building and revealing students' conceptions of chemistry. Some chemistry concepts, moreover, include changes and processes that cannot be merely represented by static drawings. Computer-based animations are needed to represent the dynamics. In this study, 25 chemistry student teachers, who…
Descriptors: Visual Aids, Freehand Drawing, Animation, Computer Simulation
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Tutz, Gerhard; Berger, Moritz – Journal of Educational and Behavioral Statistics, 2016
Heterogeneity in response styles can affect the conclusions drawn from rating scale data. In particular, biased estimates can be expected if one ignores a tendency to middle categories or to extreme categories. An adjacent categories model is proposed that simultaneously models the content-related effects and the heterogeneity in response styles.…
Descriptors: Response Style (Tests), Rating Scales, Data Interpretation, Statistical Bias