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Ernest C. Davenport Jr.; Mark L. Davison; Kyungin Park – Journal of Educational and Behavioral Statistics, 2024
The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show…
Descriptors: High School Students, Mathematics Instruction, Mathematics Achievement, Grade 9
Naz Fulya Çibik; Burçak Boz-Yaman – International Journal of Science and Mathematics Education, 2025
Considering the interdisciplinary nature of the sustainable development concept, this study aims to investigate the effect of a cross-curricular mathematical modeling course on pre-service teachers' sustainable development attitudes and mathematical modeling self-efficacies and to investigate their opinions about the course. The sample for this…
Descriptors: Preservice Teachers, Preservice Teacher Education, Interdisciplinary Approach, Sustainable Development
Lyrica Lucas; Anum Khushal; Robert Mayes; Brian A. Couch; Joseph Dauer – International Journal of Science Education, 2025
Educational reform priorities such as emphasis on quantitative modelling (QM) have positioned undergraduate biology instructors as designers of QM experiences to engage students in authentic science practices that support the development of data-driven and evidence-based reasoning. Yet, little is known about how biology instructors adapt to the…
Descriptors: Undergraduate Students, College Science, Biology, Classroom Observation Techniques
Jitu Halomoan Lumbantoruan; Tatang Herman – Journal of Education and Learning (EduLearn), 2025
The teacher's job is to prepare learning plans, create modules, implement, assess, and evaluate. The fact that teachers don't have modules yet. As a result, the mean logarithmic learning outcome of 74.80 is below the standard of 75. It is urgent to research because there is a gap between theory, expectations, and reality. The aim is to produce a…
Descriptors: Educational Improvement, Outcomes of Education, Cooperative Learning, Needs Assessment
Morano, Stephanie; Riccomini, Paul J. – Assessment for Effective Intervention, 2020
The present study examines the features and quality of visual representations (VRs) created by middle school students with learning disabilities and difficulties in mathematics in response to a released fraction item from the National Assessment of Educational Progress (NAEP). Relations between VR quality and scores on other measures of fraction…
Descriptors: Visual Aids, Fractions, Middle School Students, Students with Disabilities
Haberman, Shelby J. – ETS Research Report Series, 2020
Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].
Descriptors: Prediction, Scores, Tests, Testing Programs
Luo, Yong; Jiao, Hong – Educational and Psychological Measurement, 2018
Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the…
Descriptors: Bayesian Statistics, Item Response Theory, Probability, Computer Software
Chamberlin, Scott A.; Parks, Kelly – International Journal of Education in Mathematics, Science and Technology, 2020
The study was a comparison of general students of promise affect and mathematical students of promise affect after doing a mathematical modeling activity. Participants? gender (n=160), in grades 7-8, were nearly equal in number (81 girls & 79 boys). After completing a Model-eliciting Activity (MEA) in groups of three, participants completed…
Descriptors: Teaching Methods, Mathematics Instruction, Mathematical Models, Comparative Analysis
Clarke, David C.; Skiba, Philip F. – Advances in Physiology Education, 2013
A number of professions rely on exercise prescription to improve health or athletic performance, including coaching, fitness/personal training, rehabilitation, and exercise physiology. It is therefore advisable that the professionals involved learn the various tools available for designing effective training programs. Mathematical modeling of…
Descriptors: Exercise Physiology, Mathematical Models, Teaching Methods, Athletics
dos Santos, Regina Antunes Teixeira; Gerling, Cristina Capparelli; de Bortoli, Álvaro Luiz – Music Education Research, 2017
A short piano piece was prepared by undergraduate and graduate piano students (N = 15) without guidance from their piano teachers. Temporal parameters were analyzed in several time frames, from a phrase-to-phrase level to an interonset interval. At a macro level, local tempo was shown to be a crucial parameter that divided the students into two…
Descriptors: Undergraduate Students, Musical Instruments, Music Education, Graduate Students
Safargaliev, Ernst Raisovich; Eremina, Irina Ilyinichna; Konstantinovich, Savitsky Sergey; Camelina, Valentina Aleksandrovna – International Education Studies, 2015
Our model uses a complex quality assessment method of academic training of graduates. We have used a synthesized model, which is based on both positive and negative experience and uses qualimetric approach in quality assessment. The complex factor of the graduate's competency is a sum of scores for knowledge, skills and expertise in subjects that…
Descriptors: Graduate Students, Knowledge Level, Skill Analysis, Expertise
Gertenbach, Ryan; Bos, Beth – North American Chapter of the International Group for the Psychology of Mathematics Education, 2016
Multiple representations, multiple modalities, and technology can be helpful in the understanding of mathematical concepts when used in an appropriate manner (Shah & Freedman, 2003; Goldman, 2003), but this alone does not account for the student benefits of creating and using dynamic models over teacher generated graphs to construct…
Descriptors: Calculus, Mathematical Concepts, Mathematical Models, Mathematics Instruction
Große, Cornelia S. – European Journal of Science and Mathematics Education, 2015
The application of mathematics to real-world problems is moving more and more in the focus of attention of mathematics education; however, many learners experience huge difficulties in relating "pure" mathematics to everyday contents. In order to solve "modeling problems", it is first necessary to find a transition from a…
Descriptors: Foreign Countries, Mathematics, Mathematics Instruction, Mathematics Education
Levi, Inessa; Chahine, Iman; Garrett, Lauretta; Wang, Haifeng – Journal of Computers in Mathematics and Science Teaching, 2016
Difficulties in general education mathematics courses may be attributed to many factors, primarily low proficiency in symbol manipulation, a perception that mathematics is an area which eludes mastery, a lack of engagement and effective practice. Educational technology can be a powerful aid in overcoming these factors. This work describes the…
Descriptors: Mathematics Education, Active Learning, General Education, Homework
Keller, Bryan S. B.; Kim, Jee-Seon; Steiner, Peter M. – Society for Research on Educational Effectiveness, 2013
Propensity score analysis (PSA) is a methodological technique which may correct for selection bias in a quasi-experiment by modeling the selection process using observed covariates. Because logistic regression is well understood by researchers in a variety of fields and easy to implement in a number of popular software packages, it has…
Descriptors: Probability, Scores, Statistical Analysis, Statistical Bias