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Kishan Mistry; Glenn A. Hurst – Journal of Chemical Education, 2022
A simple experiment was developed to introduce students to the sustainable procurement of water through fog harvesting that can be used for drinking or irrigation purposes. Access to clean water and sanitation is problematic particularly within dry regions such as in areas of Peru, although there is a significant amount of fog in the mountainous…
Descriptors: Science Experiments, Sustainability, Water, Scientific Concepts
Bhavik Anil Patel – Journal of Chemical Education, 2022
Accuracy and precision are measures of experimental error and are fundamental to most chemical analysis laboratory classes. Assessment of accuracy and precision is often based on the comprehension of the results generated by students rather than on the quality of the data generated. This activity focused on developing a chemical analysis…
Descriptors: Chemistry, Science Laboratories, Accuracy, Data
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
Ioana Ramia; Belinda Parker; Julie People; Kate Ridgway; Oscar Kovacs; Zid Mancenido; Sarah Hayte, Contributor – Australian Education Research Organisation Limited, 2022
Using evidence-based practices (EBPs), and using them well, is a critical way to improve student outcomes. EBPs are practices supported by research, that is, there is broad consensus in the research community that they work. This report focuses on 4 EBPs with a well-documented evidence base that they can positively impact student outcomes (Archer…
Descriptors: Evidence Based Practice, Educational Practices, Direct Instruction, Mastery Learning
Ozlem Oktay; Ilknur Reisoglu; Seyda Gul; Dilek Teke; Mustafa Sozbilir; Ilayda Gunes; Rumeysa Yildiz; Gulsah Atila; Aysegul Yazar; Lauri Malmi; Päivi Kinnunen; Jarkko Lampiselkä; Arja Kaasinen – Scandinavian Journal of Educational Research, 2025
The aim of this study is to compare the master's (MA) theses in Türkiye (TR) and Finland (FIN) published between 2015-2019. A total of 765 theses were analysed in terms of year, discipline, methodological approach, research method, didactic foci, data collection tool, target group, and sample size. The results showed that FIN theses grounded on…
Descriptors: Foreign Countries, Masters Theses, STEM Education, Intellectual Disciplines
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
Office of Inspector General, US Department of Education, 2025
Section 487(a)(17) of the Higher Education Act of 1965, as amended (HEA), requires postsecondary schools participating in Title IV programs to annually report data, including data relevant to students' cost of attendance and financial aid and the schools' graduation rates, to the U.S. Department of Education's (Department) Integrated Postsecondary…
Descriptors: Educational Legislation, Federal Legislation, Higher Education, Compliance (Legal)
Sanjeewa Karunaratne; John D. Nugent – Association for Institutional Research, 2025
Survey nonresponse poses a significant challenge to the validity and reliability of research findings. In higher education, nonresponse warrants special attention because higher education institutions often make decisions based on empirical research. Nonresponse has been increasing in surveys of general populations, and survey researchers across…
Descriptors: Surveys, Higher Education, Disproportionate Representation, National Surveys
Patel, Pooja; Sarno, Dawn M.; Lewis, Joanna E.; Shoss, Mindy; Neider, Mark B.; Bohil, Corey J. – Applied Cognitive Psychology, 2019
Understanding how computer users allocate attention to features of potentially dangerous emails could help mitigate costly errors. Which features are salient? How stable is attention allocation across variation in email features? We attempted to measure the mental salience of several email features common in spam and/or phishing emails. We created…
Descriptors: Deception, Electronic Mail, Information Security, Data Collection
Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara – Research and Practice in Technology Enhanced Learning, 2019
Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate data coming from many different data sources, which may be stored in different formats and have varying levels of structure.…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Zakharova, Alena A.; Vekhter, Evgeniya V.; Shklyar, Aleksey V. – European Journal of Contemporary Education, 2019
At the stage of designing an educational environment, one of the most significant problems is the creation of effective visualization tools for collecting, organizing and analysing educational information. Existing approaches to visual information analysis have a number of disadvantages, which include a significant resource intensity and high…
Descriptors: Visualization, Design, Educational Environment, Data Collection
Pentimonti, J.; Petscher, Y.; Stanley, C. – National Center on Improving Literacy, 2019
Sample representativeness is an important piece to consider when evaluating the quality of a screening assessment. If you are trying to determine whether or not the screening tool accurately measures children's skills, you want to ensure that the sample that is used to validate the tool is representative of your population of interest.
Descriptors: Sampling, Screening Tests, Measurement, Test Validity
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
John Jerrim – Research Papers in Education, 2024
Administrative data are increasingly being used to study inequalities in education. Yet a well-known difficulty with such resources is the limited information they hold. A commonly used proxy for children coming from a low-income background is their eligibility for free school meals, yet this is likely to be of little use in measuring academic…
Descriptors: Foreign Countries, Low Income Students, Lunch Programs, Parent Background
Rennie Center for Education Research & Policy, 2024
This brief seeks to improve staff effectiveness while maximizing and streamlining support for students and families experiencing homelessness, ensuring they receive the assistance they need and deserve. The guidance is intended for, but not limited to, Massachusetts policymakers and Boston Public Schools (BPS) administrators, offering key insights…
Descriptors: Housing, Homeless People, Best Practices, Trauma Informed Approach

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