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Jameson, Greg; Brüschweiler, Rafael – Journal of Chemical Education, 2020
The Boltzmann distribution lies at the heart of essentially all of statistical thermodynamics. In most textbooks, this distribution is introduced either "ad hoc" or it is mathematically derived by constrained entropy optimization using the method of Lagrange multipliers. Unfortunately, when students enroll in a statistical thermodynamics…
Descriptors: Computer Simulation, Science Instruction, Thermodynamics, Statistics
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Evans, Nathan J.; Hawkins, Guy E.; Brown, Scott D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Theories of perceptual decision making have been dominated by the idea that evidence accumulates in favor of different alternatives until some fixed threshold amount is reached, which triggers a decision. Recent theories have suggested that these thresholds may not be fixed during each decision but change as time passes. These collapsing…
Descriptors: Decision Making, Reaction Time, Task Analysis, Perception
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Wu, Jiun-Yu; Hsiao, Yi-Cheng; Nian, Mei-Wen – Interactive Learning Environments, 2020
This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…
Descriptors: Social Media, Discussion Groups, Artificial Intelligence, Classification
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Hepworth, Katherine; Ivey, Cesunica E.; Canon, Chelsea; Holmes, Heather A. – Journal of Geoscience Education, 2020
An interdisciplinary undergraduate atmospheric science modeling course was cotaught at a midsize public university by three professors from atmospheric science, statistics, and design using a blended learning approach. The in-class portion of the course taught upper-level students numerical weather prediction modeling and statistical evaluation…
Descriptors: Undergraduate Students, Interdisciplinary Approach, Blended Learning, Data
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Reston, Enriqueta D.; Poliquit, Elmer S. – Statistics Education Research Journal, 2020
This paper addresses a critical component of the infrastructure necessary for professional development toward more effective teaching and learning of research and statistical methods. In particular, an interdisciplinary in-service model is proposed, which has the potential to better prepare educators to address institution-specific needs amidst…
Descriptors: Faculty Development, Teacher Effectiveness, Outcomes of Education, Statistics
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Rodríguez Silva, José Luis Ángel; Sánchez Aguilar, Mario – Statistics Education Research Journal, 2020
One of the aims of this work is to highlight the need for connecting the practice and theoretical studies of industrial engineers. One reason for this need is the fact that students tend to graduate without proper preparation for practice, spreading thus a bad reputation of statistics and its potential, and even affecting students' dispositions…
Descriptors: School Business Relationship, Industry, Engineering Education, Industrial Education
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Günhan, Burak Kürsad; Röver, Christian; Friede, Tim – Research Synthesis Methods, 2020
Meta-analyses of clinical trials targeting rare events face particular challenges when the data lack adequate numbers of events for all treatment arms. Especially when the number of studies is low, standard random-effects meta-analysis methods can lead to serious distortions because of such data sparsity. To overcome this, we suggest the use of…
Descriptors: Meta Analysis, Medical Research, Drug Therapy, Bayesian Statistics
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Selvi, Hüseyin; Alici, Devrim; Uzun, Nezaket Bilge – Asian Journal of Education and Training, 2020
This study aims to comparatively examine the resultant findings by testing the measurement invariance with structural equation modeling in cases where the missing data is handled using the expectation-maximization (EM), regression imputation, and mean substitution methods in the complete data matrix and the 5% missing data matrix that is randomly…
Descriptors: Error of Measurement, Structural Equation Models, Attitude Measures, Student Attitudes
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Lischka, Alyson E., Ed.; Dyer, Elizabeth B., Ed.; Jones, Ryan Seth, Ed.; Lovett, Jennifer N., Ed.; Strayer, Jeremy, Ed.; Drown, Samantha, Ed. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
These proceedings are a written record of the research presented at the 44th annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (PME-NA) held in Nashville, Tennessee, and virtually. This year's conference theme is "Critical Dissonance and Resonant Harmony." The aim of this…
Descriptors: Educational Psychology, Mathematics Education, Conferences (Gatherings), Conference Papers
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BenDavid-Hadar, Iris – International Journal of Educational Management, 2018
Purpose: Resource allocation is a key policy instrument that affects the educational achievement distribution (EAD). The literature on methods of allocation is focused mainly on equity issues. The purpose of this paper is to develop a composite funding formula, which adds to the equity-based element (i.e. a needs-based element compensating for…
Descriptors: Educational Finance, Resource Allocation, Funding Formulas, Educational Equity (Finance)
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Cooper, Justin T.; Gage, Nicholas A.; Alter, Peter J.; LaPolla, Stefanie; MacSuga-Gage, Ashley S.; Scott, Terrance M. – Preventing School Failure, 2018
A survey study of 248 educators in four states was conducted to identify respondents' formal training, use, and perceived effectiveness of 37 evidence-based classroom management practices within four general categories: (a) antecedent-based, (b) instructionally based, (c) consequence-based, and (d) self-management. Results indicated that, on…
Descriptors: Classroom Techniques, Evidence Based Practice, Self Disclosure (Individuals), Teacher Surveys
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Hashim, Ayesha K.; Strunk, Katharine O.; Dhaliwal, Tasminda K. – Peabody Journal of Education, 2018
To address disproportionalities in suspensions for students of color, many districts have prohibited schools from suspending students for willful defiance of school authorities and implemented restorative justice programs (RJP) that address student misconduct using alternative conflict resolution practices. However, there is limited evidence on…
Descriptors: Suspension, Resistance (Psychology), Functional Behavioral Assessment, African American Students
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Dougherty, Kevin D.; Dougherty, Ryan J. – Christian Higher Education, 2018
An increasing number of Christian colleges are adding football programs as a way to boost enrollment among men and ethnic minorities. No systematic study has attempted to measure these outcomes. We tested the relationship of football to percent male, percent non-White, and first-year retention at 125 U.S. colleges and universities affiliated with…
Descriptors: Team Sports, Athletes, College Athletics, Student Recruitment
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Hsing-Yu Hou; Pei-Jung Wu; Chih-Teng Chen; Li-Wen Huang – International Journal of Information and Communication Technology Education, 2025
This study created an all-English learning environment for teachers and students by integrating the theoretical framework of the University Competence Assessment Network common competency with the pedagogical method of English as a Medium of Instruction (EMI). The study targeted approximately 45 students, ranging from sophomore to senior, taking…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Language of Instruction
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Wernette, Maliah J.; Emory, Jan – Journal of School Nursing, 2017
Inadequate sleep among adolescents is considered an epidemic in the United States. Late night bedtimes could be an important factor in academic performance and health with consequences continuing throughout adulthood. The purpose of this study was to explore the relationships between late night bedtimes, academic performance (grade point average…
Descriptors: Residential Schools, High School Students, Sleep, Academic Achievement
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