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Hsu, Chia-Ling; Chen, Yi-Hsin; Wu, Yi-Jhen – Practical Assessment, Research & Evaluation, 2023
Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian…
Descriptors: Bayesian Statistics, Computation, International Assessment, Achievement Tests
Bradley Bowen; Bryanne Peterson – Journal of STEM Education: Innovations and Research, 2024
Modeling and simulation activities are common in secondary technology and engineering education classrooms. Virtual simulations are used to integrate engineering design into classroom instruction. The performance outcomes of a student's final virtual design usually depend on the level of knowledge application. When applying the learned content to…
Descriptors: Models, Middle Schools, STEM Education, Secondary School Curriculum
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Tighezza, M'Hamed – International Journal of Science and Mathematics Education, 2014
The purpose of the present study was to examine the validity of modeling science achievement in terms of 3 social psychological variables (school connectedness, science attitude, and active learning) and 2 self-perception variables (self-confidence and science value). Two models were tested: full mediation and partial mediation. In the…
Descriptors: Foreign Countries, Science Achievement, Self Concept, Correlation
Sokal, Laura – Canadian Journal of Counselling and Psychotherapy, 2012
Many school counsellors have identified "cyber-bullying" among adolescent girls as a growing concern. In order to respond to this issue, this article begins with a new model of cyber-communications from the unique perspective of adolescent girls. Next, it explores the limitations of responding to this model, based on current understandings of…
Descriptors: Bullying, Females, Adolescents, School Psychology
Grimm, Kevin J.; Ram, Nilam; Estabrook, Ryne – Multivariate Behavioral Research, 2010
Growth mixture models (GMMs; B. O. Muthen & Muthen, 2000; B. O. Muthen & Shedden, 1999) are a combination of latent curve models (LCMs) and finite mixture models to examine the existence of latent classes that follow distinct developmental patterns. GMMs are often fit with linear, latent basis, multiphase, or polynomial change models…
Descriptors: Models, Computer Software, Programming, Statistical Analysis
Toptas, Veli; Celik, Serkan; Karaca, E. Tugce – Turkish Online Journal of Educational Technology - TOJET, 2012
Implementation of emerging technology in sub disciplines of mathematics education provides a potential for educators to elaborate the capacity of digitized learning for human being. Spatial thinking is considered as a factor of scientific deduction from a multi disciplinary point of view. This paper reports a study aimed at exploring the effect of…
Descriptors: Spatial Ability, Measurement, Research Design, Qualitative Research
Loadman, William; Sprague, Kim; Hamilton, Jennifer; Coffey, Deb; Faddis, Bonnie – Society for Research on Educational Effectiveness, 2010
In 2005, the U.S. Department of Education awarded eight Striving Readers grants to projects around the country. The goal of Striving Readers is to improve literacy skills and achievement for struggling readers in middle and high school and to increase the research base using randomized clinical research to address improvement in adolescent…
Descriptors: Exhibits, Literacy, Grants, Intervention
Popejoy, Kate – Online Submission, 2009
NO LIMIT! (New Outcomes: Learning Improvement in Mathematics Integrating Technology) in Washington state was a six-year initiative originally designed to enhance mathematics teaching and learning in the middle grades through integration of technology, alignment of pedagogical practice with NCTM standards, and strong mentorship of teachers. The…
Descriptors: Middle School Students, Middle School Teachers, Mathematics Achievement, Educational Technology
Zucker, Andrew A.; Tinker, Robert; Staudt, Carolyn; Mansfield, Amie; Metcalf, Shari – Journal of Science Education and Technology, 2008
The Technology Enhanced Elementary and Middle School Science II project (TEEMSS), funded by the National Science Foundation, produced 15 inquiry-based instructional science units for teaching in grades 3-8. Each unit uses computers and probeware to support students' investigations of real-world phenomena using probes (e.g., for temperature or…
Descriptors: Mathematical Models, Effect Size, Virtual Classrooms, Grade 7
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Novotna, Jarmila, Ed.; Moraova, Hana, Ed.; Kratka, Magdalena, Ed.; Stehlikova, Nad'a, Ed. – International Group for the Psychology of Mathematics Education, 2006
This document contains the second volume of the proceedings of the 30th Annual Conference of the International Group for the Psychology of Mathematics Education. Conference presentations are centered around the theme "Mathematics at the Centre." This volume features 60 research reports by presenters with last names beginning between Abr…
Descriptors: Program Effectiveness, Foreign Countries, Middle Schools, Textbooks