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Schramm, Thilo; Jose, Anika; Schmiemann, Philipp – Education Sciences, 2021
Phylogenetic trees are important tools for teaching and understanding evolution, yet students struggle to read and interpret them correctly. In this study, we extend a study conducted by Catley and Novick (2008) by investigating depictions of evolutionary trees in US textbooks. We investigated 1197 diagrams from 11 German and 11 United States…
Descriptors: Foreign Countries, Evolution, Textbooks, Textbook Content
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Kemper, Lorenz; Vorhoff, Gerrit; Wigger, Berthold U. – European Journal of Higher Education, 2020
We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…
Descriptors: Foreign Countries, Predictor Variables, Potential Dropouts, School Holding Power
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Herzing, Jessica M. E. – International Journal of Social Research Methodology, 2020
This study aims to address the questionnaire design challenges in cases wherein questions involve a large number of response options. Traditionally, these long-list questions are asked in open-ended or closed-ended formats. However, alternative interface design options are emerging in computer-assisted surveys that combine both interface designs.…
Descriptors: Foreign Countries, Questionnaires, Online Surveys, Test Format
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Berens, Johannes; Schneider, Kerstin; Gortz, Simon; Oster, Simon; Burghoff, Julian – Journal of Educational Data Mining, 2019
To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…
Descriptors: Risk Management, At Risk Students, Dropout Prevention, College Students
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Schramm, Thilo; Jose, Anika; Schmiemann, Philipp – CBE - Life Sciences Education, 2021
Evolutionary trees are central to learning about evolutionary processes, yet students at all educational levels struggle to read and interpret them. The synthetic tree-reading model (STREAM), based on published and not yet empirically tested models, was tested to determine whether the assumed hierarchy of the model could be substantiated and how…
Descriptors: Undergraduate Students, Graduate Students, Evolution, Visual Aids
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Schroeders, Ulrich; Schmidt, Christoph; Gnambs, Timo – Educational and Psychological Measurement, 2022
Careless responding is a bias in survey responses that disregards the actual item content, constituting a threat to the factor structure, reliability, and validity of psychological measurements. Different approaches have been proposed to detect aberrant responses such as probing questions that directly assess test-taking behavior (e.g., bogus…
Descriptors: Response Style (Tests), Surveys, Artificial Intelligence, Identification
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Wolgast, Anett; Barnes-Holmes, Yvonne – Frontline Learning Research, 2022
Being able to coordinate the perspectives of oneself and others is likely to be helpful in educational contexts. For example, teachers need flexible social perspective taking to understand their own perspectives and those of their students. Evidence suggests that reading facilitates social perspective taking because it involves readers…
Descriptors: Context Effect, Perspective Taking, Higher Education, Interpersonal Competence