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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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
Shin, Hyo Jeong; Wilson, Mark; Choi, In-Hee – Journal of Educational Measurement, 2017
This study proposes a structured constructs model (SCM) to examine measurement in the context of a multidimensional learning progression (LP). The LP is assumed to have features that go beyond a typical multidimentional IRT model, in that there are hypothesized to be certain cross-dimensional linkages that correspond to requirements between the…
Descriptors: Middle School Students, Student Evaluation, Measurement Techniques, Learning Processes
Tanisli, Dilek – Eurasian Journal of Educational Research, 2016
Problem Statement: Gaining reasoning skills in early years affects the formal proving skills in the following years, thus it is quite significant. The acquiring of this skill is only possible with the approaches that the teachers used in the process. At this point, the problem to be researched in terms of making proofs is seen in how middle school…
Descriptors: Teacher Influence, Instructional Effectiveness, Middle School Students, Middle School Teachers
Acosta, Joie D.; Chinman, Matthew; Ebener, Patricia; Phillips, Andrea; Xenakis, Lea; Malone, Patrick S. – Journal of Educational & Psychological Consultation, 2016
Restorative practices in schools lack rigorous evaluation studies. As an example of rigorous school-based research, this article describes the first randomized control trial of restorative practices to date, the Study of Restorative Practices. It is a 5-year, cluster-randomized controlled trial (RCT) of the Restorative Practices Intervention (RPI)…
Descriptors: Randomized Controlled Trials, Justice, Conflict Resolution, Intervention
Jansen in de Wal, Joost; Hornstra, Lisette; Prins, Frans J.; Peetsma, Thea; van der Veen, Ineke – Educational Psychology, 2016
This study's aim was to examine the prevalence, development and domain specificity of fifth- and sixth-grade elementary school students' achievement goal profiles. Achievement goals were measured for language and mathematics among 722 pupils at three points in time. These data were analysed through latent profile analysis and latent transition…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Grade 6
Wüstenberg, Sascha; Greiff, Samuel; Vainikainen, Mari-Pauliina; Murphy, Kevin – Journal of Educational Psychology, 2016
Changes in the demands posed by increasingly complex workplaces in the 21st century have raised the importance of nonroutine skills such as complex problem solving (CPS). However, little is known about the antecedents and outcomes of CPS, especially with regard to malleable external factors such as classroom climate. To investigate the relations…
Descriptors: Individual Differences, Problem Solving, Difficulty Level, Foreign Countries
Bülbül, M. Sahin – European Journal of Physics Education, 2013
This study describes an approach for blind students thought health physics about how they could set a hypothesis and test it. The participant of the study used some health materials designed for high school blind student and tested her hypothesis with the data she gathered with those materials. It was asked that she should hypothesize which could…
Descriptors: Science Instruction, Physics, Blindness, Hypothesis Testing
Redding, Larry R. – ProQuest LLC, 2012
This study explored the long-term benefits of the Reading Recovery ® program for economically disadvantaged students who were successfully discontinued after the first grade. The hypothesis was tested that students exiting first grade with grade-level reading abilities and with similar low socio-economic status (economically disadvantaged), who…
Descriptors: Sustained Silent Reading, Reading Instruction, Reading Programs, Economically Disadvantaged
Brown, Mamie Lee – ProQuest LLC, 2010
This purpose of this research study was to investigate the role of effective principals and how that role relates to the improvement of adolescent reading skills. This research study identified three strategies that were utilized by principals in an effort to develop effective reading skills in adolescent students which are: (1) effective program…
Descriptors: Curriculum Development, High Schools, Junior High Schools, Middle Schools
Feng, Mingyu; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different instructional strategies by applying an educational data mining technique, learning decomposition. We use logistic regression to determine how much learning is caused by…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Sampling, Statistical Inference
Bintz, William P.; Moore, Sara D.; Hayhurst, Elaine; Jones, Rubin; Tuttle, Sherry – Middle School Journal (J3), 2006
In this article, the authors who are an interdisciplinary team of middle school educators collaboratively developed and implemented an interdisciplinary unit designed to help middle school students: (1) think like mathematicians and scientists; (2) develop specific areas of expertise in math and science; and (3) use literature as a tool to learn…
Descriptors: National Standards, Hypothesis Testing, Interdisciplinary Approach, Literacy
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
Fagergren, Peter J. – Online Submission, 2003
Academic achievement under a four-day school week is compared to the traditional five-day school week. Test scores from the CAT [California Achievement Test], ITBS [Iowa Test of Basic Skills], TASK [Stanford Test of Academic Skills], SAT [Stanford Achievement Test], TAP [Tests of Academic Proficiency], and MAT [Metropolitan Achievement Test] were…
Descriptors: School Schedules, Academic Achievement, Middle School Students, Secondary School Students
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