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Hilbert, Sven; Coors, Stefan; Kraus, Elisabeth; Bischl, Bernd; Lindl, Alfred; Frei, Mario; Wild, Johannes; Krauss, Stefan; Goretzko, David; Stachl, Clemens – Review of Education, 2021
Machine learning (ML) provides a powerful framework for the analysis of high-dimensional datasets by modelling complex relationships, often encountered in modern data with many variables, cases and potentially non-linear effects. The impact of ML methods on research and practical applications in the educational sciences is still limited, but…
Descriptors: Artificial Intelligence, Online Courses, Educational Research, Data Analysis
Marjorie Cohen; Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2020
By partnering with researchers, state CTE administrators have the opportunity to better understand CTE programming and practices across their states. This is the fourth in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE) Research Network Lead. Designed for CTE practitioners and state…
Descriptors: Vocational Education, Educational Research, Research Utilization, Data Use
Vriesema, Christine Calderon; Gehlbach, Hunter – Educational Researcher, 2021
Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Student Surveys
Wang, Yinying – TechTrends: Linking Research and Practice to Improve Learning, 2016
Against the backdrop of the ever-increasing influx of big data, this article examines the opportunities and concerns over big data in education. Specifically, this article first introduces big data, followed by delineating the potential opportunities of using big data in education in two areas: learning analytics and educational policy. Then, the…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Policy
Lester, Jaime; Klein, Carrie; Rangwala, Huzefa; Johri, Aditya – ASHE Higher Education Report, 2017
The purpose of this monograph is to give readers a practical and theoretical foundation in learning analytics in higher education, including an understanding of the challenges and incentives that are present in the institution, in the individual, and in the technologies themselves. Among questions that are explored and answered are: (1) What are…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Nese, Joseph F. T.; Lai, Cheng-Fei; Anderson, Daniel – Behavioral Research and Teaching, 2013
Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…
Descriptors: Longitudinal Studies, Data Analysis, Educational Research, Hierarchical Linear Modeling
Bocala, Candice; Henry, Susan F.; Mundry, Susan; Morgan, Claire – Regional Educational Laboratory Northeast & Islands, 2014
The "Practitioner Data Use in Schools: Workshop Toolkit" is designed to help practitioners systematically and accurately use data to inform their teaching practice. The toolkit includes an agenda, slide deck, participant workbook, and facilitator's guide and covers the following topics: developing data literacy, engaging in a cycle of…
Descriptors: Workshops, Teaching Methods, Literacy, Data Analysis
Miller, Barbara; Pasley, Joan – Evidence & Policy: A Journal of Research, Debate and Practice, 2012
Knowledge derived from practice forms a significant portion of the knowledge base in the education field, yet is not accessible using existing empirical research methods. This paper describes a systematic, rigorous, grounded approach to collecting and analysing practice-based knowledge using the authors' research in teacher leadership as an…
Descriptors: Evidence Based Practice, Data Collection, Data Analysis, Educational Research
Martinez, Laura; Hayes, Cheryl D. – Children's Aid Society, 2013
Social return on investment (SROI) offers a new strategy to measure and communicate the value of outcomes achieved by programs that provide social, health, and education services to children and their families. It can be a powerful tool for demonstrating the monetary value of programs and services and for communicating that value in a way that can…
Descriptors: Outcomes of Education, Community Schools, Outcome Measures, Integrated Services
Martinez, Laura; Hayes, Cheryl D.; Silloway, Torey – Children's Aid Society, 2013
Social return on investment (SROI) analysis offers a practical new approach for measuring and communicating the value of outcomes achieved by programs that provide social, health, and educational services to children and their families. This guide highlights the key steps in conducting SROI research, issues in data-gathering and analysis, as well…
Descriptors: Outcomes of Education, Community Schools, Outcome Measures, Integrated Services
Means, Barbara; Bakia, Marianne; Murphy, Robert – Routledge, Taylor & Francis Group, 2014
At a time when more and more of what people learn both in formal courses and in everyday life is mediated by technology, "Learning Online" provides a much-needed guide to different forms and applications of online learning. This book describes how online learning is being used in both K-12 and higher education settings as well as in…
Descriptors: Electronic Learning, Educational Research, Elementary Secondary Education, Higher Education
Strayhorn, Terrell L. – NASPA Journal, 2008
Drawing on Sanford's notions of challenge and support, coupled with Tinto's theory on retention, this quantitative investigation sought to measure the association between supportive relationships and success in college for a sample of Black men. Results suggest that supportive relationships are associated with higher levels of satisfaction but not…
Descriptors: Academic Achievement, African Americans, Males, Surveys
Heritage, Margaret; Chen, Evan – Phi Delta Kappan, 2005
Without using data to inform their actions at every step of the way, teachers and administrators will probably not reach their goals for school improvement. In this article, the authors describe a CRESST initiative that helps educators develop the skills to collect, analyze, and be guided by data. Five steps to effective date use are described in…
Descriptors: Academic Achievement, Educational Improvement, Data Collection, Data Analysis
Simpson, Mary; Tuson, Jennifer – 2003
This book offers an introduction for teachers, students, and other educational practitioners to the techniques that transform informal observation into a recognized research tool. It is intended for those with little or no experience with formal observation. Four chapters focus on: (1) "Observation as a Data-Gathering Technique" (how observation…
Descriptors: Data Analysis, Data Collection, Educational Research, Elementary Secondary Education
Gay, Lorraine R. – CEDR Quarterly, 1979
An introductory educational research course should be comprehensive so as to meet the needs of many students and be a self-contained unit. This course outline follows the sequence of activities involved in an actual research study. Some course topics are debatable because evaluation, research, and statistics overlap considerably. (CP)
Descriptors: Course Content, Course Objectives, Data Analysis, Educational Research