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Showing 1 to 15 of 51 results Save | Export
Erin W. Post – ProQuest LLC, 2024
Multivariate count data is ubiquitous in many areas of research including the physical, biological, and social sciences. These data are traditionally modeled with the Dirichlet Multinomial distribution (DM). A new, more flexible Dirichlet-Tree Multinomial (DTM) model is gaining in popularity. Here, we consider Bayesian DTM regression models. Our…
Descriptors: Regression (Statistics), Multivariate Analysis, Statistical Distributions, Bayesian Statistics
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Min Qi; Xinyang Hu; Hualin Bi – Journal of Baltic Science Education, 2024
The redox reaction is a core concept of upper-secondary school chemistry curriculum. Accurate diagnosis of students' conceptual understanding of the redox reaction from a cognitive structure perspective is critical for enhancing their understanding of chemical concepts. This study utilized Bayesian networks to investigate the cognitive structures…
Descriptors: Bayesian Statistics, Cognitive Measurement, Diagnostic Tests, Cognitive Structures
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Owen Henkel; Hannah Horne-Robinson; Maria Dyshel; Greg Thompson; Ralph Abboud; Nabil Al Nahin Ch; Baptiste Moreau-Pernet; Kirk Vanacore – Journal of Learning Analytics, 2025
This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…
Descriptors: Learning Analytics, Learning Management Systems, Mathematics Instruction, Middle School Students
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Belland, Brian R.; Kim, Nam Ju – Journal of Educational Research, 2021
Strong information literacy, collaboration, and argumentation skill are essential to success in problem-based learning (PBL). Computer-based scaffolding can help students enhance these skills during PBL. In this study, we investigated predictors of the quality of arguments high school environmental science students wrote in support of their…
Descriptors: Prediction, High School Students, Persuasive Discourse, Information Literacy
Christian Michael Smith; Noah Hirschl – Educational Researcher, 2023
In 2015, Wisconsin began mandating the ACT college entrance exam and the WorkKeys career readiness assessment. With population-level data and several quasi-experimental designs, we assess how this policy affected college attendance. We estimate a positive policy effect for middle/high-income students, no effect for low-income students, and greater…
Descriptors: Disadvantaged Youth, Low Income Students, College Attendance, College Readiness
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Mangino, Anthony A.; Smith, Kendall A.; Finch, W. Holmes; Hernández-Finch, Maria E. – Measurement and Evaluation in Counseling and Development, 2022
A number of machine learning methods can be employed in the prediction of suicide attempts. However, many models do not predict new cases well in cases with unbalanced data. The present study improved prediction of suicide attempts via the use of a generative adversarial network.
Descriptors: Prediction, Suicide, Artificial Intelligence, Networks
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Stoevenbelt, Andrea H.; Wicherts, Jelte M.; Flore, Paulette C.; Phillips, Lorraine A. T.; Pietschnig, Jakob; Verschuere, Bruno; Voracek, Martin; Schwabe, Inga – Educational and Psychological Measurement, 2023
When cognitive and educational tests are administered under time limits, tests may become speeded and this may affect the reliability and validity of the resulting test scores. Prior research has shown that time limits may create or enlarge gender gaps in cognitive and academic testing. On average, women complete fewer items than men when a test…
Descriptors: Timed Tests, Gender Differences, Item Response Theory, Correlation
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Ritter, Frauke; Standl, Bernhard – Informatics in Education, 2023
We live in a digital age, not least accelerated by the COVID-19 pandemic. It is all the more important in our society that students learn and master the key competence of algorithmic thinking to understand the informatics concepts behind every digital phenomena and thus is able to actively shape the future. For this to be successful, concepts must…
Descriptors: Algorithms, Information Science Education, Computer Science Education, COVID-19
Christian Michael Smith; Noah Hirschl – Grantee Submission, 2022
In 2015, Wisconsin began mandating the ACT college entrance exam and the WorkKeys career readiness assessment. With population-level data and several quasi-experimental designs, we assess how this policy affected college attendance. We estimate a positive policy effect for middle/high-income students, no effect for low-income students, and greater…
Descriptors: Disadvantaged Youth, Low Income Students, College Attendance, College Readiness
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Frick, Theodore W.; Myers, Rodney D.; Dagli, Cesur – Educational Technology Research and Development, 2022
In this naturalistic design-research study, we tracked 172,417 learning journeys of students who were interacting with an online resource, the Indiana University Plagiarism Tutorials and Tests (IPTAT) at https://plagiarism.iu.edu. IPTAT was designed using First Principles of Instruction (FPI; Merrill in Educ Technol Res Dev 50:43-59, 2002,…
Descriptors: Time, Educational Principles, Instructional Design, Instructional Effectiveness
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Campo, Marcelo; Amandi, Analia; Biset, Julio Cesar – Education and Information Technologies, 2021
Moodle represents a great contribution to the educational world since it provides an evolving platform for Virtual Learning Management Systems (VLMS) that became a standard de facto for most of the educational institutions around the world. Through the pedagogical functions provided, it collects in the many globally spread out databases a huge…
Descriptors: Computer Software, Computer Simulation, Integrated Learning Systems, Teaching Methods
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Kubsch, Marcus; Stamer, Insa; Steiner, Mara; Neumann, Knut; Parchmann, Ilka – Practical Assessment, Research & Evaluation, 2021
In light of the replication crisis in psychology, null-hypothesis significance testing (NHST) and "p"-values have been heavily criticized and various alternatives have been proposed, ranging from slight modifications of the current paradigm to banning "p"-values from journals. Since the physics education research community…
Descriptors: Data Analysis, Bayesian Statistics, Educational Research, Science Education
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Sinharay, Sandip – Measurement: Interdisciplinary Research and Perspectives, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics
Sinharay, Sandip – Grantee Submission, 2018
Producers and consumers of test scores are increasingly concerned about fraudulent behavior before and during the test. There exist several statistical or psychometric methods for detecting fraudulent behavior on tests. This paper provides a review of the Bayesian approaches among them. Four hitherto-unpublished real data examples are provided to…
Descriptors: Ethics, Cheating, Student Behavior, Bayesian Statistics
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De Bondt, Niki; Donche, Vincent; Van Petegem, Peter – Social Psychology of Education: An International Journal, 2020
Research indicates that educational stratification may lead to a lower-track school culture of futility and a less academically-oriented culture among lower-track teachers, leading to both reduced study involvement and lower educational achievement among their students. This study investigated whether an anti-school culture in the lower tracks [in…
Descriptors: Technical Education, Vocational High Schools, Secondary Education, Intelligence
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