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Showing all 8 results Save | Export
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Schachter, Rachel E.; Yeomans-Maldonado, Gloria; Piasta, Shayne B. – Journal of Literacy Research, 2023
Despite a growing focus on access to and use of emergent literacy assessment in early childhood, little is known about early childhood teachers' data practices and their associations with children's emergent literacy skills. A questionnaire was used to confirm and elaborate findings from prior qualitative work (Schachter & Piasta, 2022)…
Descriptors: Early Childhood Education, Early Childhood Teachers, Emergent Literacy, Data Collection
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Gómez-Torres, Emilse – Statistics Education Research Journal, 2021
This paper describes the evolution of "recognition of need for data" and "strategical thinking", two types of thinking identified by Wild and Pfannkuch in their Framework for Statistical Thinking in Empirical Enquiry, as well as its relevance for math teacher professional development. The research was carried out with ten…
Descriptors: Thinking Skills, Mathematics Teachers, Secondary School Teachers, Data Analysis
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Robertson, Judy; Tisdall, E. Kay M. – Journal of Media Literacy Education, 2020
Given the importance of data skills to the economy and the skills shortage within data science, educational policy makers have identified the importance of including technical and analytical data skills in the school curriculum. An equally important aim is to educate children and young people to become "data citizens" who are aware of…
Descriptors: Children, Adolescents, Elementary School Students, Secondary School Students
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Araitz Uskola – Journal of Baltic Science Education, 2016
Inquiry-based educational Araitz Uskola contexts including observation of the Moon have been found to facilitate students' understanding of the Sun-Earth-Moon system. However, the role that the collected data play in the knowledge construction process is unclear, as the process that students develop from the collected data has not previously been…
Descriptors: Astronomy, Science Education, Knowledge Level, Data Collection
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Marsh, Julie A.; Kennedy, Kate – Teachers College Record, 2020
Background/Context: Researchers have amassed considerable evidence on the use of student performance data (e.g., benchmark and standardized state tests) to inform educational improvement, but few have examined the use of nonacademic indicators (e.g., indicators of social and emotional well-being) available to educators, and whether the factors…
Descriptors: Social Emotional Learning, Educational Practices, Educational Improvement, Well Being
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Kynda Faythe – Kansas English, 2017
The concept of data based decision making has been in the forefront of educational reform for decades. Despite the fact that data could better inform the educational decisions teachers make, some educators lack understanding of data and assessment. This could lead to misinterpretation and poor use of the scores. The purpose of this literature…
Descriptors: Literacy Education, Learning Analytics, Decision Making, English Teachers
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Wexler, Jade; Swanson, Elizabeth; Vaughn, Sharon; Shelton, Alexandra; Kurz, Leigh Ann – Middle School Journal, 2019
It is essential for middle school leaders to develop and promote school-wide literacy models, organizational structures that have a significant impact on the learning environment for all students in their building. However, school-wide literacy models can be difficult to implement and sustain over time. Drawing from an Office of Special Education…
Descriptors: Sustainability, Early Adolescents, Middle School Students, Educational Environment
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use