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Baran, Evrim; AlZoubi, Dana; Morales, Anasilvia Salazar – TechTrends: Linking Research and Practice to Improve Learning, 2023
Computational analysis methods and machine learning techniques introduce innovative ways to capture classroom interactions and display data on analytics dashboards. Automated classroom analytics employ advanced data analysis, providing educators with comprehensive insights into student participation, engagement, and behavioral trends within…
Descriptors: Automation, Learning Analytics, Stakeholders, Computation
Snow, Eric; Rutstein, Daisy; Basu, Satabdi; Bienkowski, Marie; Everson, Howard T. – International Journal of Testing, 2019
Computational thinking is a core skill in computer science that has become a focus of instruction in primary and secondary education worldwide. Since 2010, researchers have leveraged Evidence-Centered Design (ECD) methods to develop measures of students' Computational Thinking (CT) practices. This article describes how ECD was used to develop CT…
Descriptors: Evidence Based Practice, Test Construction, Computation, Cognitive Tests
What Works Clearinghouse, 2016
This guide is subject to WWC version 2.0 standards. The Fractions practice guide will provide evidence-based guidance on the teaching and learning of fractions among students in the elementary and middle grades. The guide will offer concrete recommendations for practices that improve students' conceptual understanding of fractions, operational…
Descriptors: Elementary Education, Secondary Education, Elementary School Mathematics, Middle Schools