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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
Christine Dickason; Sharmila Mann; Nick Lee – Bellwether, 2025
"Pathways to Implementation" highlights innovative strategies and effective models in career pathways policy, implementation, and programming, as well as challenges states encounter in this work. This seven-part series addresses the key elements of Bellwether's framework for career pathways policy implementation. Each brief defines the…
Descriptors: Career Pathways, Educational Cooperation, State Programs, Program Implementation
Prophet-Bullock, Ebony E. – ProQuest LLC, 2023
This qualitative case study sought to discover how school-level data teams can intentionally use effective data practices to identify and implement high-leverage interventions that support all students, including Black and Latinx boys, in attaining the necessary academic requirements for high school graduation. The researcher analyzed data from…
Descriptors: High School Students, African American Students, Hispanic American Students, Males
Clare Waterman; Katherine Shields; Tracy McMahon – Education Development Center, Inc., 2022
This Toolkit presents lessons learned from the process of implementing a new system for collecting student-level work-based learning (WBL) data in high school career and technical education (CTE) programs. As part of a study on career academies and WBL, a research team worked closely with a district CTE office and school staff to design and…
Descriptors: Vocational Education, Work Experience Programs, Data Collection, Goal Orientation
Mette Fentz Haastrup; Line Laursen Corydon; Berit Elisabeth Alving; Thomas Kaarsted – International Journal of Science Education, Part B: Communication and Public Engagement, 2025
This theory paper proposes "Involving Students in Participatory Research in Education" (INSPIRE), a pedagogical framework for curriculum-based citizen science (CS) activities within citizen humanities at high schools. From an instructional perspective, this framework can support teachers, researchers and CS educators in developing an…
Descriptors: Authentic Learning, Student Centered Learning, Citizen Participation, Humanities
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
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
Mihyun Son; Minsu Ha – Education and Information Technologies, 2025
Digital literacy is essential for scientific literacy in a digital world. Although the NGSS Practices include many activities that require digital literacy, most studies have examined digital literacy from a generic perspective rather than a curricular context. This study aimed to develop a self-report tool to measure elements of digital literacy…
Descriptors: Test Construction, Measures (Individuals), Digital Literacy, Scientific Literacy
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
Corinne Thatcher Day – Mathematics Teacher: Learning and Teaching PK-12, 2025
Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, High School Students
Hardy, Lisa; Dixon, Colin; Hsi, Sherry – Journal of the Learning Sciences, 2020
This paper contributes a theoretical framework informed by historical, philosophical and ethnographic studies of science practice to argue that data should be considered to be actively produced, rather than passively collected. We further argue that traditional school science laboratory investigations misconstrue the nature of data and overly…
Descriptors: Data Collection, Data Analysis, Science Instruction, Grade 9
Pangrazio, Luci; Selwyn, Neil – Pedagogy, Culture and Society, 2021
The ongoing 'datafication' of contemporary society has a number of implications for schools and schooling. One is the increasing calls for schools to help develop young people's understandings about the role that digital data now plays in their everyday lives -- especially in terms of the 'data economy' and 'surveillance capitalism'. Reporting on…
Descriptors: Data Collection, Data Analysis, Technology Uses in Education, Data Processing
Grasty, Sarah – Science Teacher, 2020
Fisheries scientists make sure that fish populations ("fisheries") are managed properly, neither over- or under-utilized, to maintain long-term economic and ecological stability. Scientists collect data and conduct surveys to determine fish populations, and then make recommendations about how many fish may be caught by commercial and…
Descriptors: Ichthyology, Animal Husbandry, Science Process Skills, Data Collection
Arnold, Karen D.; Owen, Laura; Lewis, Jonathan – Journal of College Access, 2020
Making college access and success more equitable at a national scale requires alternatives to intensive in-person modes of pre-college advising. Text-message advising campaigns are a promising intervention model for delivering college application and financial aid assistance affordably to large populations of college-intending, low-income…
Descriptors: Academic Advising, Telecommunications, Handheld Devices, College Bound Students

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