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Showing 1 to 15 of 145 results Save | Export
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Möller, Annette; George, Ann Cathrice; Groß, Jürgen – International Journal of Research & Method in Education, 2023
Methods based on machine learning have become increasingly popular in many areas as they allow models to be fitted in a highly-data driven fashion and often show comparable or even increased performance in comparison to classical methods. However, in the area of educational sciences, the application of machine learning is still quite uncommon.…
Descriptors: Foreign Countries, Learning Analytics, Classification, Artificial Intelligence
Wolfgang Weidermann; Keith C. Herman; Wendy Reinke; Alexander von Eye – Grantee Submission, 2022
Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis…
Descriptors: Student Behavior, Behavior Patterns, Monte Carlo Methods, Statistical Analysis
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Smith, Jennifer; Musharraf, Mashrura; Veitch, Brian; Khan, Faisal – IEEE Transactions on Learning Technologies, 2022
For the offshore energy industry, virtual environment technology can enhance conventional training by teaching basic offshore safety protocols such as onboard familiarization and emergency evacuation. Virtual environments have the added benefit of being used to investigate the impact of different training approaches on competence. This pilot study…
Descriptors: Energy, Industry, Computer Simulation, Training
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Henninger, Mirka; Debelak, Rudolf; Strobl, Carolin – Educational and Psychological Measurement, 2023
To detect differential item functioning (DIF), Rasch trees search for optimal split-points in covariates and identify subgroups of respondents in a data-driven way. To determine whether and in which covariate a split should be performed, Rasch trees use statistical significance tests. Consequently, Rasch trees are more likely to label small DIF…
Descriptors: Item Response Theory, Test Items, Effect Size, Statistical Significance
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Wyner, Yael; Doherty, Jennifer H. – Journal of Biological Education, 2021
Even highly urban environments are settings for outdoor learning of local biodiversity, for they contain easily accessible street tree diversity that students walk pass daily. This study uses pre/post assessments and a tree observation curriculum grounded in scientific observation practice to understand the everyday and scientific tree observation…
Descriptors: Middle School Students, Early Adolescents, Urban Environment, Public Schools
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Huang, Hui-Ling – Children's Literature in Education, 2020
This article explores a narrative approach adopted by three Taiwanese children's books that feature old trees as storytellers and memory-keepers to address aspects of emotional and psychological adaptation when facing drastic life changes. Although these stories are told from the perspective of old trees, the nostalgic tone serves a specific…
Descriptors: Childrens Literature, Memory, Foreign Countries, Forestry
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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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Bos, Rogier; van den Bogaart, Theo – Digital Experiences in Mathematics Education, 2022
This design-based study addresses the issue of how to digitally support students' problem-solving by providing heuristics, in the absence of the teacher. The problem is that, so far, digital tutoring systems lack the ability to diagnose students' needs in open problem situations. Our approach is based on students' ability to self-diagnose and find…
Descriptors: Heuristics, Problem Solving, Help Seeking, Intelligent Tutoring Systems
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Eren, Hande Busra; Caliskan, Gokhan – Physical Educator, 2023
In this study, classifications were made from the data obtained from the Health-Related Physical Fitness Report cards and BMIs of students through data mining methods, artificial neural networks, and decision trees models. Then the classification performances of both models were compared. The body weight and height measurements of the students in…
Descriptors: Physical Fitness, High School Students, Report Cards, Body Composition
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Ames, Allison J. – Educational and Psychological Measurement, 2022
Individual response style behaviors, unrelated to the latent trait of interest, may influence responses to ordinal survey items. Response style can introduce bias in the total score with respect to the trait of interest, threatening valid interpretation of scores. Despite claims of response style stability across scales, there has been little…
Descriptors: Response Style (Tests), Individual Differences, Scores, Test Items
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González-Esparza, Lydia Marion; Jin, Hao-Yue; Lu, Chang; Cutumisu, Maria – AERA Online Paper Repository, 2022
Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…
Descriptors: Student Behavior, Intelligent Tutoring Systems, Feedback (Response), Persistence
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Wang, Ze – Large-scale Assessments in Education, 2022
In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…
Descriptors: Comparative Analysis, Evaluation Methods, Grade 8, Mathematics Achievement
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Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – Computer Science Education, 2020
Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…
Descriptors: Computer Science Education, Programming, Coding, Student Attitudes
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McLean, Sarah; Meadows, Ken N.; Heffernan, Austin; Campbell, Nicole – Advances in Physiology Education, 2020
Failed experiments are a common occurrence in research, yet many undergraduate science laboratories rely on established protocols to ensure students are able to obtain results. While it is logistically challenging to facilitate students' conducting their own experiments in the laboratory, allowing students to "fail" in a safe environment…
Descriptors: Decision Making, Internet, Self Efficacy, Science Experiments
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Whitenack, Lisa B.; Drew, Joshua A. – Journal of Biological Education, 2019
Given the importance of phylogenetic trees to understanding common ancestry and evolution, they are a necessary part of the undergraduate biology curriculum. However, a number of common misconceptions, such as reading across branch tips and understanding homoplasy, can pose difficulties in student understanding. Students also may take phylogenetic…
Descriptors: Evolution, Genetics, Paleontology, Biology
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