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Adrian, Daniel; Reischman, Diann; Anderson, Kirk; Richardson, Mary; Stephenson, Paul – Journal of Statistics Education, 2020
Maps are a primary method of displaying statistical data that comes from a geographical frame. Maps are esthetically appealing and make it easier to identify geographic patterns in a dataset. However, few introductory statistical texts and courses explicitly present maps as a way to display data. In this article, we will present examples of…
Descriptors: Statistics, Teaching Methods, Introductory Courses, Maps
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Wu, Shimei; Zheng, Xinye; Guo, Jin; Li, Chuan-Zhong; Wei, Chu – Field Methods, 2020
The exercise of quantifying the energy consumption data assembled through household surveys, either by the recall-based approach or the meter-based approach, remains a challenging task, especially in rural areas of developing countries. In this article, we propose a device-based bottom-up accounting method for estimating household energy…
Descriptors: Surveys, Family (Sociological Unit), Energy, Evaluation Methods
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Bratt, Sharon – Canadian Journal of Action Research, 2020
Educational action research bridges the gap between theory and practice; where the learning design is the proposed hypothesis and the classroom is where it is field-tested by the teacher as researcher (McKernan, 2007; Stenhouse, 1975). Through this lens we see inquiry as a deepened understanding of one's own practice. The purpose of this study was…
Descriptors: Theory Practice Relationship, Curriculum Development, Data, Visual Aids
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Dunn, Karee E.; Airola, Denise T.; Hayakawa, Takuya – Current Issues in Education, 2020
In this study, teacher education students' concerns, sense of efficacy, and anxiety related to the future use of data to drive educational decision-making were explored. In alignment with prior research with practicing teachers, this sample of pre-service teachers reported concerns (thoughts, preoccupations, and feelings) that indicate they are…
Descriptors: Preservice Teachers, Self Efficacy, Anxiety, Student Attitudes
McKay, Heather; Haviland, Sara; Michael, Suzanne; Leibrandt, Sarah – Western Interstate Commission for Higher Education, 2020
Why do some innovations in policy or practice take off, while others fizzle out? Social scientists and policy experts have grappled with this question for decades, studying the diffusion of new ideas and examining how and why states, organizations, and institutions adopt innovations to their policies or practices. In recent years, states have…
Descriptors: Educational Innovation, Data Collection, Shared Resources and Services, Elementary Secondary Education
National Governors Association, 2020
On behalf of the National Governors Association (NGA), and with support from the Robert Wood Johnson Foundation (RWJF), the State Health Access Data Assistance Center (SHADAC) has developed this resource, which highlights states that have released data thresholds, sometimes referred to as gating criteria or benchmarks, to guide schools, school…
Descriptors: COVID-19, Pandemics, Elementary Secondary Education, School Closing
McNair, Tia Brown; Bensimon, Estela Mara; Malcom-Piqueux, Lindsey – Association of American Colleges and Universities, 2020
Drawing from campus-based research projects sponsored by the AAC&U and the Center for Urban Education at the University of Southern California, "From Equity Talk to Equity Walk" provides practical guidance on the design and application of campus change strategies for achieving equitable outcomes. The authors offer advice on how to…
Descriptors: Equal Education, Higher Education, College Environment, Alignment (Education)
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Leu, Katherine – RTI International, 2020
Postsecondary education is awash in data. Postsecondary institutions track data on students' demographics, academic performance, course-taking, and financial aid, and have put these data to use, applying data analytics and data science to issues in college completion. Meanwhile, an extensive amount of higher education data are being collected…
Descriptors: Learning Analytics, Postsecondary Education, Academic Achievement, Graduation Rate
Fink, John; Jenkins, Davis – Community College Research Center, Teachers College, Columbia University, 2020
This guide presents examples and instructions for data analyses colleges can conduct to better understand student enrollments and completions in particular programs. Such analyses can help colleges scrutinize representation of historically marginalized groups in programs leading to greater opportunity after graduation. There is an equity…
Descriptors: Data Analysis, Enrollment, Graduation, College Programs
Moeyaert, Mariola; Bursali, Semih; Ferron, John – Grantee Submission, 2020
The COVID-19 outbreak emphasizes the need for alternative methods for data gathering and collaboration among researchers in a virtual research environment. One experimental design that is well suited in a social distancing research context is the single-case experimental design (SCD). SCDs can handle disruptions as: (a) they do not require large…
Descriptors: Research Design, Computer Oriented Programs, Research Methodology, Case Studies
Jacob M. Schauer; Arend M. Kuyper; E. C. Hedberg; Larry V. Hedges – Grantee Submission, 2020
States often turn to a data masking procedure called microsuppression in order to reduce the risk of disclosing student records when sharing data with external researchers. This process removes records deemed to have high risk for disclosure should data be released. However, this process can induce differences between the original data and the…
Descriptors: Student Records, Disclosure, Privacy, State Policy
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Jacob M. Schauer; Arend M. Kuyper; Eric C. Hedberg; Larry V. Hedges – Journal of Research on Educational Effectiveness, 2020
States often turn to a data masking procedure called microsuppression in order to reduce the risk of disclosing student records when sharing data with external researchers. This process removes records deemed to have high risk for disclosure should data be released. However, this process can induce differences between the original data and the…
Descriptors: Student Records, Disclosure, Privacy, State Policy
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Filderman, Marissa J.; Austin, Christy R.; Toste, Jessica R. – Intervention in School and Clinic, 2019
The process of implementing intensive reading interventions using data-based decision-making (DBDM) becomes increasingly challenging as students move into the secondary grades and reading tasks correspondingly become more complex. This article provides teachers with guidelines to support effective implementation of DBDM for students with or at…
Descriptors: Data Use, Reading Difficulties, At Risk Students, Secondary School Teachers
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Jimerson, Jo Beth; Cho, Vincent; Scroggins, Kimberly A.; Balial, Ritu; Robinson, Reginald R. – Educational Studies, 2019
Just as accountability policies have led to increased levels of teacher data use, teachers have begun to increase the extent to which students track and analyse data about their own learning. Although some might argue that such "student-involved data use" (SIDU) might empower or motivate students to take charge of their own learning…
Descriptors: Data Use, Data Analysis, Teacher Guidance, Elementary School Teachers
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Poce, Antonella; Amenduni, Francesca; Re, Maria Rosaria; De Medio, Carlo – Open Praxis, 2019
The rapidly growing number of learning materials and repositories makes the issue of how to find the most relevant and best quality resources to be integrated in teaching and learning offers. Thus, effective quality assessment tools are more and more needed. In the present paper, a case-study focusing on quality assurance in a Virtual Mobility…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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