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Data Quality Campaign, 2022
For decades, schools nationwide have collected household income data to identify those eligible for free and reduced-price lunch programs. State leaders have long used this information as a proxy for student economic disadvantage--yet this data is insufficient to understand and address students' needs. Measures based on FRL data lack critical…
Descriptors: State Policy, Student Needs, Measurement Techniques, Disadvantaged Youth
Averi Pakulis; Nadia Gronkowski – First Focus on Children, 2024
Home visiting connects expectant parents, new caregivers, and their young children with a support person, called a home visitor. The home visitor meets regularly with the family, develops a relationship with them, and supports them to achieve their goals and meet their needs. To reach the thousands of additional families who could benefit from…
Descriptors: Community Programs, Home Programs, Models, Language Usage
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Bornn, Luke; Mortensen, Jacob; Ahrensmeier, Daria – Canadian Journal for the Scholarship of Teaching and Learning, 2022
This paper presents a novel design for an upper-level undergraduate statistics course structured around data rather than methods. The course is designed around curated datasets to reflect real-world data science practice and engages students in experiential and peer learning using the data science competition platform Kaggle. Peer learning is…
Descriptors: Undergraduate Study, Cooperative Learning, Peer Influence, Undergraduate Students
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Konold, Clifford; Finzer, William; Kreetong, Kosoom – Statistics Education Research Journal, 2017
We gave participants diagrams of traffic on two roads with information about eight attributes, including the type of each vehicle, its speed, direction and the width of the road. Their task was to record and organize the data to assist city planners in its analysis. Successfully encoding the information required the creation of a case, a physical…
Descriptors: Models, Data, Worksheets, Visual Aids
Thomer, Andrea K. – ProQuest LLC, 2017
Research conducted at scientifically significant sites produces an abundance of important and highly valuable data. Yet, though sites are logical points for coordinating the curation of these data, their unique needs have been under supported. Previous studies have shown that two principal stakeholder groups -- scientific researchers and local…
Descriptors: Data Collection, Scientific Research, Researchers, Administrators
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Son, Ji Y.; Blake, Adam B.; Fries, Laura; Stigler, James W. – Journal of Statistics and Data Science Education, 2021
Students learn many concepts in the introductory statistics course, but even our most successful students end up with rigid, ritualized knowledge that does not transfer easily to new situations. In this article we describe our attempt to apply theories and findings from learning science to the design of a statistics course that aims to help…
Descriptors: Statistics Education, Introductory Courses, Teaching Methods, Data Analysis
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Zeng, Ziheng; Chaturvedi, Snigdha; Bhat, Suma – International Educational Data Mining Society, 2017
Characterizing the nature of students' affective and emotional states and detecting them is of fundamental importance in online course platforms. In this paper, we study this problem by using discussion forum posts derived from large open online courses. We find that posts identified as encoding confusion are actually manifestations of different…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Culver, K. C.; Harper, Jordan; Kezar, Adrianna – Pullias Center for Higher Education, 2021
A customized guide about liberatory design thinking processes that have been tested within college settings to support changes that enhance equity in policies and practices within institutions. This research is based on case studies of several institutions, including focus group interviews with the campus design teams and an analysis of artifacts.…
Descriptors: Design, Program Design, Colleges, Universities
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
Bos, Johannes M.; Graczewski, Cheryl; Dhillon, Sonica; Auchstetter, Amelia; Cassasanto-Ferro, Julia; Kitmitto, Sami – American Institutes for Research, 2022
The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…
Descriptors: Program Effectiveness, Grade 9, Secondary School Students, Secondary School Teachers
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Chiu, Ming Ming – Journal of Learning Analytics, 2018
Learning analysts often consider whether learning processes across time are related (1) to one another or (2) to learning outcomes at higher levels. For example, are a group's temporal sequences of talk (e.g., correct evaluation [right arrow] correct, new idea) during its problem solving related to its group solution? I show how to address these…
Descriptors: Statistical Analysis, Models, Data Analysis, Regression (Statistics)
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Athanases, Steven Z.; Bennett, Lisa H.; Wahleithner, Juliet Michelsen – Journal of Literacy Research, 2015
Consensus exists that effective teaching includes capacity to adapt instruction to respond to student learning challenges as they arise. Adaptive teachers may keep pace with rapidly evolving youth literacies and students' increasing cultural and linguistic diversity. Teachers are challenged to critically examine pedagogy when some contexts expect…
Descriptors: Preservice Teachers, English Instruction, Data, Secondary Education
Teranishi, Robert; Lok, Libby; Nguyen, Bach Mai Dolly – Educational Testing Service, 2013
In 2013, the National Commission on Asian American and Pacific Islander Research in Education (CARE) and the White House Initiative on Asian Americans and Pacific Islanders (WHIAAPI)--with support from ETS and Asian Americans and Pacific Islanders in Philanthropy (AAPIP)--began an Asian American and Pacific Islander (AAPI) data quality campaign.…
Descriptors: College Students, Asian American Students, Pacific Islanders, Consciousness Raising
Education Trust, 2016
All across the country, leaders in colleges and universities are asking the same question: What can we do to improve student success, especially for the low-income students and students of color whose graduation rates often lag behind? This second practice guide: "Using Data to Improve Student Outcomes: Learning from Leading Colleges"…
Descriptors: Data Analysis, Information Utilization, Student Improvement, Outcomes of Education
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Bennett, Lisa H.; Athanases, Steven Z.; Wahleithner, Juliet Michelsen – Action in Teacher Education, 2016
Teacher inquiry holds promise in teacher education, but only if student teachers take up inquiry practices as they leave preservice and transition to teaching. As they learn to conduct inquiry during preservice, student teachers may begin to internalize dispositions that promote ongoing inquiry experiences. Through analysis of questionnaires…
Descriptors: Preservice Teachers, Preservice Teacher Education, Student Teacher Attitudes, Inquiry
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