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Attendance Works, 2021
States have an essential guiding role in the collection and use of attendance data. State guidance ensures that attendance is taken daily in a consistent manner and is monitored to detect and address inequitable access to learning opportunities. The recent shift to distance and blended learning as a result of the coronavirus pandemic disrupted the…
Descriptors: Attendance, Data Collection, State Government, Government Role
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Stelmach, Rachel D.; Fitch, Elizabeth; Chen, Molly; Meekins, Meagan; Flueckiger, Rebecca M.; Colaço, Rajeev – American Journal of Evaluation, 2022
Monitoring, evaluation, and research activities generate important data, but they often fail to change policies or programs. In addition, local program staff and partners often feel disconnected from these activities, which undermines their ownership of data and results. To bridge the gaps between monitoring, evaluation, and research and to give…
Descriptors: Evidence Based Practice, Evaluation, Research, Global Approach
Collyer, Lee; Bolen, Tammy – Washington Office of Superintendent of Public Instruction, 2022
The Washington Social Emotional Learning Committee was established in 2019 through Senate Bill (SB) 5082 to address the growing body of evidence that shows the need for improving not only a student's academic abilities, but also their social and emotional competencies which are critical to every child's development. SB 5082 requires the Committee…
Descriptors: Social Emotional Learning, State Legislation, Educational Legislation, Program Implementation
Fermanich, Mark; Finster, Matthew – Region 5 Comprehensive Center, 2022
This study aimed to identify best practices for collecting and reporting state teacher supply and demand data. The study examined data systems for monitoring teacher demand and supply data, such as district position vacancies by certification area, candidate recruitment, and the performance and productivity of educator preparation programs.…
Descriptors: Teacher Supply and Demand, Teacher Certification, Teacher Education Programs, Diversity
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Boticki, Ivica; Akçapinar, Gökhan; Ogata, Hiroaki – Interactive Learning Environments, 2019
In this paper log data on e-book usage is used as part of a learning analytics approach to generate user models which describe university students' characteristics in multiple dimensions. E-book usage is logged and analysed to extract information on how users use e-books for academic purposes. Two cases contributing to user modelling are…
Descriptors: Electronic Publishing, Data Collection, Data Analysis, Books
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Pustulka, Paula; Bell, Justyna; Trabka, Agnieszka – Field Methods, 2019
This article addresses methodological issues related to the consequences of researchers' range of insider identities that emerge over the course of completing subsequent stages of qualitative migration research projects. Taking on a temporal approach to the insider status evolving over the course of field entry, data collection, data analysis, and…
Descriptors: Migration, Social Science Research, Interviews, Researchers
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Garvey, Jason C. – Journal of College Student Development, 2019
To promote inclusivity in quantitative research about lesbian, gay, bisexual, and queer (LGBQ) students, scholars must first understand how sexual orientation data are collected in higher education survey research (Garvey, 2014; Rankin & Garvey, 2015). There is one research question that guides this study: How is sexual orientation demographic…
Descriptors: College Students, Sexual Orientation, LGBTQ People, Student Surveys
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Reed, Megan H.; Jenkins, Tom; Kenyon, Lisa – Science Teacher, 2019
Nitrogen- or phosphorus-based fertilizers, used in agriculture, can run off into nearby waterways during periods of heavy rain or high flow and cause harmful blooms (Paerl et al. 2016), low oxygen (Joyce 2000), and decreased biodiversity (Sebens 1994). Studies of the effects wetlands can have on water and habitat quality (Verhoeven and Meuleman…
Descriptors: Natural Resources, Biodiversity, Grade 9, Ecology
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Chick, Nancy; Nowell, Lorelli; Lenart, Bartlomiej A. – Teaching & Learning Inquiry, 2019
The diversity of scholars, teachers, and practitioners in the Scholarship ofTeaching and Learning (Soll) is a strength but also makes it a complex field to understand and navigate, and perhaps even more complex to contribute to, despite its youth. Beyond the ongoing efforts to define and theorize the field, So TL needs a rigorous inventory taking…
Descriptors: Scholarship, Instruction, Learning, Educational Research
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Clevenger, Kimberly Ann; Sinha, Gaurav; Howe, Cheryl A. – Measurement in Physical Education and Exercise Science, 2019
Several geospatial approaches have been used to characterize physical activity during recess using global positioning system (GPS) data. GPS and accelerometer data from 23 children collected during recess were analyzed using four previously used approaches: (1) dot map, (2) fishnet grid, (3) hot spot analysis, which determines clusters of high/low…
Descriptors: Elementary School Students, Physical Activity Level, Physical Activities, Geographic Information Systems
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Cantarero, Rodrigo; de Guzman, Maria Rosario T.; Taylor, Sarah; Hong, Soo-Hong; Choi, Jeong-Kyun – Journal of Extension, 2019
Extension professionals are increasingly using geographic information system (GIS) technology to develop and inform programs and services. In this article, we use a mapping exercise to demonstrate how the unit of data can be applied and inadvertently misrepresented in GIS mapping. We contrast the use of counts, percentages, and location quotients…
Descriptors: Geographic Information Systems, Maps, Teaching Methods, Extension Agents
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Boroujeni, Mina Shirvani; Dillenbourg, Pierre – Journal of Learning Analytics, 2019
The large-scale and granular interaction data collected in online learning platforms such as massive open online courses (MOOCs) provide unique opportunities to better understand individuals' learning processes and could facilitate the design of personalized and more effective support mechanisms for learners. In this paper, we present two…
Descriptors: Online Courses, Large Group Instruction, Learning Processes, Study Habits
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Xing, Wanli – Distance Education, 2019
Massive open online courses (MOOCs) face persistent challenges related to student performance, including high rates of attrition and low student achievement scores. Previous studies that have examined the performance of students in MOOCs have done so using qualitative analysis and the quantitative analysis of small samples. This study is the first…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Sink, Christopher A.; Adkins, Clara; Cooney, Myya; Garverick, Tiffany – Professional School Counseling, 2019
This article addresses school counselor evidence-based accountability practice by summarizing the findings of a hands-on evaluation of readily accessible, free online accountability software that can be used for data collection, management and analysis, and presentations. Using germane school data, four preservice counselors individually rated…
Descriptors: Computer Software, Accountability, Evidence Based Practice, School Counseling
Bernstein, Sima; Barnett, W. Steven; Ackerman, Debra J. – National Institute for Early Education Research, 2019
Because pre-academic and social-emotional capabilities at kindergarten entry predict later academic and social success, there has been great concern with the level of "readiness" at kindergarten entry. Many states require a kindergarten readiness assessment (KRA). However, how readiness is defined, who or what entity is doing the…
Descriptors: School Readiness, Kindergarten, Definitions, Student Characteristics
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