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Hardy, Lisa; Dixon, Colin; Van Doren, Seth; Hsi, Sherry – Science Teacher, 2022
In science classrooms, students usually see and work with data that's intended to tell them right away about the natural world. Students then often treat the data we provide to them as factual, rather than as a source of evidence (Duschl 2008; Sandoval and Millwood 2005; Berland and Reiser 2009; McNeill and Berland 2017; Hancock, Kaput, and…
Descriptors: Data Collection, Data Analysis, Science Experiments, High School Students
Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
Warstat, Selina; Proemmel, Andreas – Teaching Statistics: An International Journal for Teachers, 2020
Scientific statistical working in a team is a special challenge for students in high schools, especially with a civic statistical problem. Ideally, they are following the PPDAC cycle: they formulate a problem together, plan an investigation, collect the data, use software to analyze the data, and formulate results in a seminar paper. This article…
Descriptors: High School Students, Civics, Statistics, Problem Solving
Data Quality Campaign, 2022
Students have many options as they leave high school and enter postsecondary education or the workforce. But during the six years that the Data Quality Campaign has reviewed report cards from all 50 states and the District of Columbia, it has been found that states have struggled to provide a robust picture of all of these options on their report…
Descriptors: Postsecondary Education, High School Graduates, Employment, Military Service
Bowen, Natasha K.; Lucio, Robert; Patak-Pietrafesa, Michele; Bowen, Gary L. – Children & Schools, 2020
To support student success effectively, school teams need information on known predictors of youth behavior and academic performance. In contrast to measures of behavioral and academic outcomes that are commonly relied on in schools, the School Success Profile (SSP) for middle and high school students provides comprehensive information on…
Descriptors: Success, Predictor Variables, Behavior, Expectation
Hwang, Joyce – New America, 2021
Youth apprenticeship is a strategy for building a more inclusive economy by creating affordable, reliable, and equitable pathways from high school to good jobs and college degrees. As youth apprenticeship programs develop and expand across the U.S., it is critical that practitioners develop plans for capturing, analyzing, and leveraging data at…
Descriptors: Apprenticeships, High School Students, Partnerships in Education, Data Analysis
Chan, Hsun-Yu; Wang, Xueli – New Directions for Institutional Research, 2019
In this chapter, we review the strengths of NCES survey data, provide an example of analyzing NCES survey data to explore the pathways between coursework in career and technical education in high school and postsecondary success, and offer suggestions for future data collection.
Descriptors: Surveys, Data Analysis, Vocational Education, High School Students
Flanagan, Matthew F.; Kutscher, Elisabeth L. – TEACHING Exceptional Children, 2021
Community-based instruction (CBI) is one type of community experience in which students with disabilities work toward instructional goals while engaged in activities occurring in a natural environment outside of a typical school setting (Hoover, 2016; Rowe et al., 2015). Educators who implement CBI capitalize on their students' time in the…
Descriptors: Community Based Instruction (Disabilities), Progress Monitoring, Students with Disabilities, High School Students
Bartholomew, Scott R.; McGraw, Tim; Fauber, Daphne; Charlesworth, Jon; Weitlauf, John – Technology and Engineering Teacher, 2020
Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields…
Descriptors: Sanitation, Water, Agriculture, High School Students
Morrison, Judith A.; Malone, Danielle; Sorensen Petersen, Sara – Journal of Special Education Technology, 2023
The project described in this article focused on the school's environment and students' connections with the school. The project took place in a large, comprehensive high school with eight 12th grade students, one with intellectual disabilities, three with learning disabilities, two with autism spectrum disorders, and two with health impairments.…
Descriptors: Grade 12, High School Students, Students with Disabilities, Data Collection
Burton, Erin Peters; Rich, Peter; Cleary, Timothy; Burton, Stephen; Kitsantas, Anastasia; Egan, Garrett; Ellsworth, Jordan – Science Teacher, 2020
Students often need to obtain, organize, clean, and analyze data in order to draw conclusions about a particular phenomenon (e.g., why tidal heights change). When conducting a science investigation in biology, chemistry, physics, or Earth science, data can be collected by the student or can be provided to them via secondary data sets. This article…
Descriptors: Computation, Thinking Skills, Data Collection, Data Analysis
Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
The nine appendices in this publication accompany the full report, "High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection. Data File Documentation. NCES 2020-004" (ED607366). They include: (1) Glossary of Terms; (2) Student Financial Aid Records Instrument…
Descriptors: Longitudinal Studies, High School Students, Data Collection, Academic Records
Zhu, Pei; Garcia, Ivonne; Alonzo, Erick – MDRC, 2019
The growing awareness of the importance of the first year of high school for future success has prompted schools and districts across the country to develop interventions designed for ninth-graders. "Growth mindset" is an intervention that aims to increase students' desire to take on challenges and to enhance their persistence in school…
Descriptors: High School Students, Learning Motivation, Intervention, Grade 9
Advance CTE: State Leaders Connecting Learning to Work, 2019
Wisconsin was one of the 10 states selected to participate in New Skills for Youth (NSFY). NSFY, launched by JPMorgan Chase & Co. in 2016, is a $75 million, five-year initiative, aimed at strengthening and expanding high-quality career pathways for youth. As part of this initiative, the Council of Chief State School Officers, Advance CTE and…
Descriptors: Career Readiness, State Programs, Vocational Education, Sustainability
Advance CTE: State Leaders Connecting Learning to Work, 2021
Indianapolis, Indiana, is one of the six sites selected to participate in the "New Skills ready network." This five-year initiative, launched by JPMorgan Chase & Co. in 2020, aims to improve student completion of high-quality career pathways. In the first year of the initiative, the Indianapolis, Indiana, "New Skills ready…
Descriptors: Skill Development, Educational Attainment, Equal Education, Career Pathways