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Tamar Fuhrmann; Leah Rosenbaum; Aditi Wagh; Adelmo Eloy; Jacob Wolf; Paulo Blikstein; Michelle Wilkerson – Science Education, 2025
When learning about scientific phenomena, students are expected to "mechanistically" explain how underlying interactions produce the observable phenomenon and "conceptually" connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing…
Descriptors: Mechanics (Physics), Thinking Skills, Scientific Concepts, Concept Formation
Achilleas Mandrikas; Constantina Stefanidou; Constantine Skordoulis – Journal of STEM Education: Innovations and Research, 2024
A STEM education program entitled "Come rain or shine" implemented in a primary rural school in southern Greece as part of the "Diffusion of STEM (DI-STEM)" project and the results of its implementation are presented in this paper. The educational program deepened in weather education and intended to develop eight scientific…
Descriptors: Foreign Countries, STEM Education, Elementary Education, Program Implementation
Tytler, Russell; Ferguson, Joseph; White, Peta – Learning: Research and Practice, 2020
Increasingly, learning in science and mathematics is considered in terms of induction into the multimodal language practices of the disciplinary community. A strong strand of research in this tradition has involved students being challenged to invent multimodal language forms, and their ideas refined through structured guidance. Often, however,…
Descriptors: Science Instruction, Mathematics Instruction, Inquiry, Teaching Methods
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
Kinnebrew, John S.; Segedy, James R.; Biswas, Gautam – IEEE Transactions on Learning Technologies, 2017
Research in computer-based learning environments has long recognized the vital role of adaptivity in promoting effective, individualized learning among students. Adaptive scaffolding capabilities are particularly important in open-ended learning environments, which provide students with opportunities for solving authentic and complex problems, and…
Descriptors: Computer Assisted Instruction, Problem Solving, Learning, Student Behavior
Liu, Ran; Davenport, Jodi; Stamper, John – International Educational Data Mining Society, 2016
The increasing use of educational technologies in classrooms is producing vast amounts of process data that capture rich information about learning as it unfolds. The field of educational data mining has made great progress in using log data to build models that improve instruction and advance the science of learning. Thus far, however, the…
Descriptors: Educational Technology, Data Analysis, Automation, Data
Gustafson, Brenda; Mahaffy, Peter; Martin, Brian – Journal of Computers in Mathematics and Science Teaching, 2015
This paper focuses on one Grade 5 class (9 females; 9 males) who worked in student-pairs to view five digital learning object (DLO) lessons created by the authors and meant to introduce students to the nature of models, the particle nature of matter, and physical change. Specifically, the paper focuses on whether DLO design elements could assist…
Descriptors: Grade 5, Cooperative Learning, Resource Units, Scientific Concepts
Smith, Leigh – ProQuest LLC, 2015
This applied dissertation was designed to provide perceptual teacher data as well as summative testing data to educational leaders concerning the effects of implementing Investigations in Number, Data, and Space® (Investigations) in three Title I elementary school settings, two Title I schools, and one non-Title I school. Data collected during…
Descriptors: Program Evaluation, Program Implementation, Investigations, Elementary School Teachers
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – International Educational Data Mining Society, 2015
The field of EDM has focused more on modeling student knowledge than on investigating what sequences of different activity types achieve good learning outcomes. In this paper we consider three activity types, targeting sense-making, induction and refinement, and fluency building. We investigate what mix of the three types might be most effective…
Descriptors: Information Retrieval, Data Analysis, Learning Activities, Grade 4
Kozina, Ana – Educational Studies, 2015
In this study, we analyse the predictive power of home and school environment-related factors for determining pupils' aggression. The multiple regression analyses are performed for fourth- and eighth-grade pupils based on the Trends in Mathematics and Science Study (TIMSS) 2007 (N = 8394) and TIMSS 2011 (N = 9415) databases for Slovenia. At the…
Descriptors: Aggression, Elementary Schools, Predictive Validity, Educational Environment
Council of the Great City Schools, 2015
This report measures trends in performance among urban schools receiving federal School Improvement Grant (SIG) awards as part of the American Recovery and Reinvestment Act of 2009 (ARRA). The Council of the Great City Schools aims to document how member districts of the Council of the Great City Schools implemented SIG and specifically what…
Descriptors: Grants, Federal Legislation, Federal Aid, Educational Improvement
Hatch, Trish; Chen-Hayes, Stuart F. – Professional School Counseling, 2008
A study of 3,000 school counselors was undertaken to assess their beliefs about necessary components of a school counseling program. This study was part of the database that the American School Counselor Association used to develop "The ASCA National Model: A Framework for School Counseling Programs." The School Counseling Program Component Scale…
Descriptors: Counseling Services, School Counseling, School Counselors, Counselor Attitudes
Eckman, Ellen Wexler – Journal of School Leadership, 2007
The coprincipalship has been suggested as an organizational structure that addresses the increasing workload and time demands of the principal as well as the shortage of qualified applicants for the position. This article presents the findings of a qualitative study of coprincipals in public and private schools in California, Illinois,…
Descriptors: Models, Principals, Qualitative Research, Faculty Workload
Stepanek, Jennifer; Peixotto, Kit – Regional Educational Laboratory Northwest, 2009
Response to intervention (RTI) is a framework for providing interventions and services at increasing levels of intensity until students succeed. The framework helps teachers and schools provide instruction and interventions matched to student needs, monitor progress frequently to guide decisions about changes in instruction or goals, and apply…
Descriptors: Student Needs, Intervention, Academic Achievement, Learning Disabilities
Denton, Jon J.; Davis, Trina J.; Smith, Ben L.; Strader, R. Arlen; Clark, Francis E.; Wang, Li – eEducation Group, 2005
This multi-year program was based on the premise a digital divide exists between the technology skill levels of public school faculties compared to those of undergraduate teacher education candidates. The Technology Mentor Fellowship Program (TMFP) matched technologically-proficient pre-service teachers with K-12 teachers to model technology as an…
Descriptors: Preservice Teacher Education, Mentors, Elementary Secondary Education, Technology Integration
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