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Bull, Ally – New Zealand Council for Educational Research, 2015
Science capabilities are a set of ideas for teachers to think with about science education. There are five: gathering and interpreting data, using evidence, critiquing evidence, interpreting representations of science, and engaging with science. This paper explores what student progress in developing capabilities might look like. It draws on…
Descriptors: Lifelong Learning, Science Education, Data Collection, Data Interpretation
Sabourin, Jennifer; Kosturko, Lucy; FitzGerald, Clare; McQuiggan, Scott – International Educational Data Mining Society, 2015
While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data…
Descriptors: Privacy, Student Records, Data Processing, Data Collection
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Roth, Wolff-Michael – Research in Science Education, 2013
General scientific literacy includes understanding the grounds on which scientific claims are based. The measurements scientists make and the data that they produce from them generally constitute these grounds. However, the nature of data generation has received relatively little attention from those interested in teaching science through inquiry.…
Descriptors: Inquiry, Ethnography, Decision Making Skills, Data
Clow, Doug – Teaching in Higher Education, 2013
Learning analytics, the analysis and representation of data about learners in order to improve learning, is a new lens through which teachers can understand education. It is rooted in the dramatic increase in the quantity of data about learners and linked to management approaches that focus on quantitative metrics, which are sometimes antithetical…
Descriptors: Foreign Countries, Data, Data Analysis, Measures (Individuals)
Dorner, Lisa M.; Kim, Sujin; Floros, Alice; Mujanovic, Midheta – International Journal of Qualitative Studies in Education (QSE), 2017
Skills developed through qualitative research and community partnerships can be essential for developing education students' cultural competency and understandings about diverse student populations. Toward this end, we developed a qualitative "service-research" project in a teacher education course focused on child development, whereby…
Descriptors: Qualitative Research, Interpersonal Competence, Competency Based Teacher Education, Undergraduate Students
de Chaisemartin, Talia – Global Partnership for Education, 2017
An estimated 274 million primary school children in low and middle income countries are not learning the basic foundational skills necessary to lead productive and healthy lives. The Global Partnership for Education (GPE) is committed to improved and more equitable student outcomes, and has framed this as goal 1 of its strategic plan for…
Descriptors: International Programs, Partnerships in Education, Equal Education, Developing Nations
Diliberti, Melissa; Jackson, Michael; Kemp, Jana – National Center for Education Statistics, 2017
This report presents findings on crime and violence in U.S. public schools, using data from the 2015-16 School Survey on Crime and Safety (SSOCS:2016). First administered in school year 1999-2000 and repeated in school years 2003-04, 2005-06, 2007-08, 2009-10, and 2015-16, SSOCS provides information on school crime-related topics from the…
Descriptors: Crime, Violence, Discipline, School Safety
Chung, Gregory K. W. K. – Teachers College Record, 2014
Background: Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new "microscopes" when they are…
Descriptors: Online Systems, Data Analysis, Data Collection, Data Interpretation
Rodriguez, Sheila M.; Estacion, Angela – Regional Educational Laboratory Northeast & Islands, 2014
As the name indicates, the College Readiness Data Catalog Tool focuses on identifying data that can indicate a student's college readiness. While college readiness indicators may also signal career readiness, many states, districts, and other entities, including the U.S. Virgin Islands (USVI), do not systematically collect career readiness…
Descriptors: College Readiness, Data, Educational Indicators, Data Collection
Tomlinson, Carol Ann – Educational Leadership, 2015
This article describes a language arts teacher's two-tiered way of using assessment data, which uses both standardized assessment data and teacher-created "skills" inventories. Standardized test data may help see where a learner performed in a previous year on items that often do not line up too well with future content. Standardized…
Descriptors: Standardized Tests, Skill Analysis, Data Analysis, Progress Monitoring
Zablith, Fouad; Fernandez, Miriam; Rowe, Matthew – Interactive Learning Environments, 2015
Linked Data increases the value of an organisation's data over the web by introducing explicit and machine processable links at the data level. We have adopted this new stream of data representation to produce and expose existing data within The Open University (OU) as Linked Data. We present in this paper our approach for producing the data,…
Descriptors: Data, Metadata, Open Universities, Social Networks
Konold, Clifford; Higgins, Traci; Russell, Susan Jo; Khalil, Khalimahtul – Educational Studies in Mathematics, 2015
Statistical reasoning focuses on properties that belong not to individual data values but to the entire aggregate. We analyze students' statements from three different sources to explore possible building blocks of the idea of data as aggregate and speculate on how young students go about putting these ideas together. We identify four general…
Descriptors: Statistical Analysis, Mathematical Logic, Data Analysis, Mathematical Concepts
Ainley, Janet; Gould, Robert; Pratt, Dave – Educational Studies in Mathematics, 2015
This paper is in the form of a reflective discussion of the collection of papers in this Special Issue on "Statistical reasoning: learning to reason from samples" drawing on deliberations arising at the Seventh International Collaboration for Research on Statistical Reasoning, Thinking, and Literacy (SRTL7). It is an important part of…
Descriptors: Statistical Analysis, Mathematical Logic, Data Analysis, Mathematics Skills
Kelly, Anthony – International Journal of Leadership in Education, 2015
This paper introduces and explores the concept of "salutogenesis" as a way of interpreting school leadership research and its findings in two significant areas: its effect on student outcomes and the motivation of incumbents. In its original setting, salutogenesis describes an approach that focuses on health, rather than on disease, but…
Descriptors: Instructional Leadership, Research, Outcomes of Education, Motivation

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