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Baah, Eric Adjei – Waikato Journal of Education, 2022
In this article, I present how I navigated unexpected apprehension that I faced while communicating with teacher participants during my PhD data collection (via interviews, observations and document study). I mediated the apprehension by strategies such as disclosing my teacher identity, expressing an interest in their practice and assuring them…
Descriptors: Data Collection, Research Problems, Interpersonal Relationship, Foreign Countries
Sanchez, Irene M. – National College Attainment Network, 2021
Text Steps was a project piloted by Ascendium Education Group in 2015 and expanded to 13 school districts in Wisconsin between 2018 and 2020. Its goal was to combat summer melt through a texting program. Summer melt, in which college-intending high school students are unable to enroll in the fall for any number of reasons, is a well-documented…
Descriptors: Summer Programs, Access to Education, High School Students, College Attendance
National College Attainment Network, 2021
Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…
Descriptors: College Programs, Success, Data Collection, Data Analysis
Hoffman, Nancy; O'Connor, Anna; Mawhinney, Joanna – Jobs for the Future, 2022
The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…
Descriptors: College School Cooperation, Partnerships in Education, High Schools, Universities
Rodney McCrowre; Burcu Adivar – Industry and Higher Education, 2024
This study aims to analyse the impact of demographic and educational factors on in digital upskilling. We address the relationship between digital skills, critical thinking skills and the student learning experience in courses with embedded upskilling programs. Statistical analysis and exploratory research are used to analyse the data collected by…
Descriptors: Digital Literacy, Skill Development, Competence, Critical Thinking
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
Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
Van Wart, Sarah; Lanouette, Kathryn; Parikh, Tapan S. – Journal of the Learning Sciences, 2020
Data increasingly mediates how we understand the world. As such, there is growing interest in designing initiatives to help young people learn about data--not only the techno-mathematical skills necessary to work with data, but also the dispositions needed to participate in data-centric ways of knowing and doing. In this article, we argue that as…
Descriptors: Data, Social Problems, Data Collection, Data Use
Andrew P. Jaciw; Sze-Shun Lau; Jenna Zacamy; Li Lin – Empirical Education Inc., 2023
The Collaboration and Reflection to Enhance Atlanta Teacher Effectiveness (CREATE) is a three-year teacher residency program that seeks to recruit, support, and retain a diverse, highly effective, and culturally competent educator workforce that is committed to working in high-needs schools and to improving student outcomes. This evaluation…
Descriptors: Diversity, Teacher Effectiveness, Program Evaluation, Program Effectiveness
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Regional Educational Laboratory Pacific, 2021
These are the appendices to the report, "Using High School Data to Predict College Success in Palau" (ED610714). Prior research, particularly for the United States, has shown that earning a community college credential increases an individual's likelihood of gaining stable employment, earning a living wage, and working in a higher-paying…
Descriptors: Foreign Countries, College Readiness, High School Students, College Preparation
Bonnéry, Daniel; Feng, Yi; Henneberger, Angela K.; Johnson, Tessa L.; Lachowicz, Mark; Rose, Bess A.; Shaw, Terry; Stapleton, Laura M.; Woolley, Michael E.; Zheng, Yating – Journal of Research on Educational Effectiveness, 2019
There is demand among policy-makers for the use of state education longitudinal data systems, yet laws and policies regulating data disclosure limit access to such data, and security concerns and risks remain high. Well-developed synthetic datasets that statistically mimic the relations among the variables in the data from which they were derived,…
Descriptors: Data Collection, Access to Information, Privacy, Information Dissemination
Kanim, Stephen; Cid, Ximena C. – Physical Review Physics Education Research, 2020
Is physics education research based on a representative sample of students? To answer this question we skimmed physics education research papers from three journals for the years 1970-2015 looking for the number of research subjects, the course the subjects were enrolled in, and the institution where the research was conducted. We combined this…
Descriptors: Physics, Science Education, Educational Research, Demography
Campaign for College Opportunity, 2019
With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…
Descriptors: Data Collection, Data Analysis, Higher Education, Access to Education
Spector, J. Michael – Educational Technology Research and Development, 2016
This special issue of "ETR&D" is devoted to ethics in the broad domain of educational technology. Many ethical issues arise involving the study and use of educational technologies. A well-known issue involves the digital divide and the degree to which the introduction of new technologies is increasing the digital divide and…
Descriptors: Ethics, Data Collection, Data Analysis, Educational Technology