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Office for Civil Rights, US Department of Education, 2024
The Civil Rights Data Collection (CRDC) is a mandatory survey of all public schools and school districts in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico. It gathers information about student access to educational programs, activities, staff, and school climate factors from public schools serving students in preschool…
Descriptors: Students with Disabilities, Public Schools, Access to Education, Educational Environment
Kim, Nana; Bolt, Daniel M. – Educational and Psychological Measurement, 2021
This paper presents a mixture item response tree (IRTree) model for extreme response style. Unlike traditional applications of single IRTree models, a mixture approach provides a way of representing the mixture of respondents following different underlying response processes (between individuals), as well as the uncertainty present at the…
Descriptors: Item Response Theory, Response Style (Tests), Models, Test Items
Kusaka, Satoshi – Journal of Education and Learning, 2021
Information and Communication Technology (ICT) education has been actively implemented around the world recently. ICT curriculum in schools is intended to improve students' programming-oriented thinking rather than to train them as programmers. The core of ICT education is 'computational thinking'. Computational thinking is taking an approach to…
Descriptors: Cross Cultural Studies, Thinking Skills, Information Technology, Programming
Lucena Rodgríguez, Carmen; Mula-Falcón, Javier; Segovia, Jesús Domingo; Cruz-González, Cristina – Journal of Turkish Science Education, 2021
The health emergency caused by the COVID-19 pandemic has transformed and decisively affected the entire education system, which has resulted in an urgent need to adapt it to an online scenario. Science education is an area that has been highly affected by and, as a consequence, science teachers were forced to make an extra effort to create virtual…
Descriptors: COVID-19, Science Instruction, Educational Change, Pandemics
Monroe, Scott – Journal of Educational and Behavioral Statistics, 2021
This research proposes a new statistic for testing latent variable distribution fit for unidimensional item response theory (IRT) models. If the typical assumption of normality is violated, then item parameter estimates will be biased, and dependent quantities such as IRT score estimates will be adversely affected. The proposed statistic compares…
Descriptors: Item Response Theory, Simulation, Scores, Comparative Analysis
Greitans, Karlis; Namsone, Dace – International Baltic Symposium on Science and Technology Education, 2021
This review study includes 19 articles from 2016 to 2021 focusing on in-service science teachers' professional development targeted to promote student conceptual understanding. The present study is guided by the following research question: "What characterizes high-quality in-service science teachers' professional development targeted to…
Descriptors: Faculty Development, Concept Formation, Scientific Concepts, Intervention
Oleson, Alannah; Wortzman, Brett; Ko, Amy J. – ACM Transactions on Computing Education, 2021
Design is a distinct discipline with its own practices, tools, professions, and areas of scholarship. However, practitioners from other fields often leverage aspects of design in their own work, leading to subfields like engineering design and architecture design that are neither wholly design nor wholly the intersecting discipline. Similarly,…
Descriptors: Elementary Secondary Education, Computer Science Education, Design, Role
Gresse von Wangenheim, Christiane; Hauck, Jean C. R.; Pacheco, Fernando S.; Bertonceli Bueno, Matheus F. – Education and Information Technologies, 2021
Teaching Machine Learning in school helps students to be better prepared for a society rapidly changing due to the impact of Artificial Intelligence. This requires age-appropriate tools that allow students to develop a comprehensive understanding of Machine Learning in order to become creators of smart solutions. Following the trend of visual…
Descriptors: Elementary Secondary Education, Computer Science Education, Artificial Intelligence, Instructional Materials
Dagiene, Valentina; Hromkovic, Juraj; Lacher, Regula – Informatics in Education, 2021
Computing as a discipline has common roots with mathematics and written languages, and computing as a way of thinking and handling has been integral to human culture since ever. This is not only a reasonable argument for convincing society to consider informatics as one of the very fundamental pillars of education, but it also puts the potential…
Descriptors: Information Science Education, Curriculum Development, Elementary Secondary Education, Constructivism (Learning)
Sengupta, Pratim; Dickes, Amanda; Farris, Amy Voss – MIT Press, 2021
The importance of coding in K-12 classrooms has been taken up by both scholars and educators. "Voicing Code in STEM" offers a new way to think about coding in the classroom--one that goes beyond device-level engagement to consider the interplay between computational abstractions and the fundamentally interpretive nature of human…
Descriptors: Coding, STEM Education, Elementary Secondary Education, Computation
Glassow, Leah Natasha; Jerrim, John – Large-scale Assessments in Education, 2022
Unequal access to qualified teachers for children of different socioeconomic status--also known as inequitable teacher sorting--has been increasingly put forth as one potential factor contributing to the socioeconomic achievement gap. Despite this, few studies have investigated cross-national differences in teacher sorting, and none have examined…
Descriptors: Foreign Countries, Achievement Tests, Mathematics Tests, International Assessment
Baysal, Yunus Emre; Mutlu, Fatma; Nacaroglu, Oguzhan – Research in Pedagogy, 2023
The purpose of this study is to determine the effect size of gender on motivation towards science learning by combining the results of studies, which were conducted to determine the effect of gender on motivation towards science learning, via the meta-analysis method. In this context, master's thesis, doctoral dissertations, and articles, which…
Descriptors: Gender Differences, Student Motivation, Science Education, Meta Analysis
Autenrieth, Robin L.; Lewis, Chance W.; Butler-Purry, Karen L. – Journal of STEM Education: Innovations and Research, 2018
Ongoing efforts across the U.S. to encourage K-12 students to consider engineering careers have been motivated by concerns that the workforce pipeline for this profession is shrinking. Enlightening K-12 teachers about engineering is one strategy to encourage student interest in the discipline. The Enrichment Experiences in Engineering…
Descriptors: Engineering Education, Science Instruction, Summer Science Programs, Teacher Effectiveness
May, Laura; Crisp, Thomas; Bingham, Gary E.; Schwartz, Renée S.; Pickens, Mario T.; Woodbridge, Kate – Reading Research Quarterly, 2020
The authors conducted a qualitative content analysis of the 400 National Science Teachers Association Outstanding Science Trade Books for Students K-12 from 2010-2017 selected for their instructional usefulness in science classrooms. The authors examined these expert-recommended science trade books to better understand their design and to identify…
Descriptors: Content Analysis, Science Instruction, Kindergarten, Elementary Secondary Education
Lori Rubino-Hare; Brooke A. Whitworth; Francis Boateng; Nena Bloom – Journal of Research in Science Teaching, 2024
Advances in online geospatial technologies (GST) have expanded access to K-12 classrooms which has implications for the support teachers require to effectively integrate GSTs to promote learning. Previous studies have shown the impact of GST-integrated lessons on student engagement, spatial thinking skills, and/or content knowledge; however, most…
Descriptors: Geography Instruction, Geographic Information Systems, Elementary Secondary Education, Technology Integration