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Portilla, Ximena A.; Mattera, Shira; Wulfsohn, Samantha – MDRC, 2020
Improving the quality of teaching and instruction takes time and planning and may be costly and require intensive work. This is particularly true when trying to make improvements among multiple preschool sites, because preschool systems often lack a cohesive infrastructure for supporting high-quality implementation of curricula and teacher…
Descriptors: Preschool Education, Preschool Curriculum, Curriculum Implementation, Educational Quality
Soricone, Lisa – Jobs for the Future, 2020
Our nation needs a baseline understanding of the current landscape of high school skilled trades education--and a road map of what could or should happen next--to build on the promise that trades education offers to meet both individual and societal needs. To understand the state of skilled trades education in America's high schools, Jobs for the…
Descriptors: High School Students, Vocational Education, Skilled Occupations, Building Trades
Kent, Alexandra; Antaki, Charles – Applied Linguistics, 2020
Police call-takers need to gather as much data as is needed, as quickly as possible, to determine whether and what action should be taken. On analysing 514 calls to a UK centre handling emergency (999) and non-emergency (101) calls, we find that the call-taker's first substantive question already carries a diagnosis of the merits of the caller's…
Descriptors: Police, Telecommunications, Questioning Techniques, Data Collection
Collier-Meek, Melissa A.; Sanetti, Lisa M.; Fallon, Lindsay; Chafouleas, Sandra – Assessment for Effective Intervention, 2020
Treatment fidelity data are critical to evaluate intervention effectiveness, yet there are only general guidelines regarding treatment fidelity measurement. Initial investigations have found treatment fidelity data collected via direct observation to be more reliable than data collected via permanent product or self-report. However, the comparison…
Descriptors: Intervention, Evaluation Methods, Fidelity, Observation
Schubatzky, Thomas; Bock, Benjamin; Haagen-Schützenhöfer, Claudia – EURASIA Journal of Mathematics, Science and Technology Education, 2020
This article reports how physics pre-service teachers (PSTs) organize their investigations during an exploratory data analysis scenario, which we call scientific investigations by data exploration. In order to analyze the PSTs' investigations, we developed a learning environment in which learners investigate aspects influencing the particulate…
Descriptors: Physics, Preservice Teachers, Science Process Skills, Inquiry
Penuel, William R.; Farrell, Caitliin C.; Daniel, Jula – Teachers College Record, 2020
Background/Context: Research on data and evidence use suggest that productive use depends on interactive processes, including sustained interactions between educators and researchers. Recent research on research-practice partnerships (RPPs) has examined conditions under which these sustained collaborations support evidence use. Findings from these…
Descriptors: Data Use, Dropout Prevention, Educational Research, Partnerships in Education
Parham, Alfred; Adair, Angela C.; Reames, Ellen H. – Alabama Journal of Educational Leadership, 2020
Many school leaders who sought to enculturate distributive leadership and shared decision-making within their schools/school districts may not have adequate data tools that would encourage teachers and educational leaders to actively participate during times of decision-making. School organizations may struggle in this area and could benefit from…
Descriptors: Data Use, Leadership, Participative Decision Making, Principals
Matayoshi, Jeffrey; Karumbaiah, Shamya – Journal of Educational Data Mining, 2020
Affect dynamics, the investigation of how student affect transitions from one state to another, is a popular area of research in adaptive learning environments. Recently, the commonly used transition metric "L" has come under critical examination when applied to data that exclude self-transitions (i.e., transitions where a student…
Descriptors: Psychological Patterns, Student Adjustment, Statistics, Data Analysis
Grabarek, Jana; Kallemeyn, Leanne M. – Teachers College Record, 2020
Background/Context: The importance attached to practicing data use is evident in its inclusion in federal law, competitive grant programs, state teaching license requirements, and professional development (PD) workshops around the world. Yet, practitioners and scholars have identified misconceptions clouding data use practice, questioned its…
Descriptors: Data Use, Academic Achievement, Educational Improvement, Literature Reviews
Sancho-Gil, Juana M. – Digital Education Review, 2020
In the last fifty years, the remarkable development of digital technology, that has permeated practically all social, economic, and cultural, political, and technological realms is producing several phenomena that have a direct impact in education. In this paper, I discuss first, the fact that more and more we refer to digital technology as just…
Descriptors: Educational Technology, Technology Uses in Education, Influence of Technology, Data
Karacaoglu, Ömer Cem; Bayrakci, Mustafa – International Online Journal of Education and Teaching, 2020
The purpose of this qualitative study, based on the Survey Method, was to introduce a new technique to collect data on educational practices. For this purpose, a sample practice was designed to implement with a volunteer study group comprising 36 editors in a publishing company. The task details of the sample practice were determined via DACUM…
Descriptors: Data Collection, Methods, Educational Research, Educational Practices
Dean, Kayla P.; Bertling, Joy G. – Art Education, 2020
Encompassing complex scatter plots, visually friendly infographics, and surprising works of contemporary art, data visualizations are as diverse as the disciplines from which they emerge. Over the past few decades, a strand of data visualizations has emerged that engage with ecological and sustainability topics and issues, such as concerns for the…
Descriptors: Visual Aids, Data, Ecology, Artists
Oslington, Gabrielle; Mulligan, Joanne; Van Bergen, Penny – Educational Studies in Mathematics, 2020
This paper describes elementary students' awareness and representation of the aggregate properties and variability of data sets when engaged in predictive reasoning. In a design study, 46 third-graders interpreted a table of historical temperature data to predict and represent future monthly maximum temperatures. The task enabled students to…
Descriptors: Grade 3, Elementary School Students, Logical Thinking, Thinking Skills
Goretzko, David; Heumann, Christian; Bühner, Markus – Educational and Psychological Measurement, 2020
Exploratory factor analysis is a statistical method commonly used in psychological research to investigate latent variables and to develop questionnaires. Although such self-report questionnaires are prone to missing values, there is not much literature on this topic with regard to exploratory factor analysis--and especially the process of factor…
Descriptors: Factor Analysis, Data Analysis, Research Methodology, Psychological Studies
Prinsloo, Paul – Teaching in Higher Education, 2020
'Data as technology' has always been, and continues to be an essential part of the structuring of South African society and education, during and post-colonialism and post-apartheid. In the reconfiguration of South African education post-apartheid, student data constitutes a data frontier as un-mapped, under-utilised and ready for the picking.…
Descriptors: Foreign Countries, Higher Education, Data Use, Neoliberalism

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