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Cochran-Smith, Marilyn; Ell, Fiona; Grudnoff, Lexie; Ludlow, Larry; Haigh, Mavis; Hill, Mary – Teacher Education Quarterly, 2014
Many scholars have concluded that teacher education research needs to take a complex view, resist simplification, and account more fully for teacher education's contexts and processes as well as its impact on teacher candidates' and school students' learning (Cochran-Smith & Zeichner, 2005; Grossman & McDonald, 2008; Opfer & Pedder,…
Descriptors: Teacher Education Programs, Educational Research, Program Descriptions, Educational Theories
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Madhavan, Krishna; Johri, Aditya; Xian, Hanjun; Wang, G. Alan; Liu, Xiaomo – Advances in Engineering Education, 2014
The proliferation of digital information technologies and related infrastructure has given rise to novel ways of capturing, storing and analyzing data. In this paper, we describe the research and development of an information system called Interactive Knowledge Networks for Engineering Education Research (iKNEER). This system utilizes a framework…
Descriptors: Engineering Education, Information Systems, Information Retrieval, Social Networks
Letkowski, Jerzy – Journal of Case Studies in Education, 2014
Descripting Statistics provides methodology and tools for user-friendly presentation of random data. Among the summary measures that describe focal tendencies in random data, the mode is given the least amount of attention and it is frequently misinterpreted in many introductory textbooks on statistics. The purpose of the paper is to provide a…
Descriptors: Statistical Data, Data Interpretation, Statistics, Qualitative Research
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Eklund, Brandon; Prat-Resina, Xavier – Journal of Chemical Education, 2014
ChemEd X Data is an open web tool that collects and curates physical and chemical data of hundreds of substances. This tool allows students to navigate, select, and graphically represent data such as boiling and melting points, enthalpies of combustion, and heat capacities for hundreds of molecules. By doing so, students can independently identify…
Descriptors: Chemistry, Science Instruction, Web Sites, Internet
Afterschool Alliance, 2014
The Afterschool Alliance, in partnership with MetLife Foundation, is proud to present the final issue brief in their latest series of four issue briefs examining critical issues facing middle school youth and the vital role afterschool programs play in addressing these issues. This brief explores afterschool and data utilization to improve…
Descriptors: After School Programs, Middle School Students, Academic Standards, Student Needs
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Malone, Nolan; Narayan, Krishna; Mark, Lauren; Miller, Kirsten; Kekahio, Wendy – Regional Educational Laboratory Pacific, 2014
As educators are increasingly called on to use data to inform improvement initiatives (and are being held accountable for doing so), there is a corresponding need for program leaders to monitor progress. Program monitoring--the systematic and continual observation and recording of key program aspects--can provide leaders with realistic assessments…
Descriptors: Program Evaluation, Leadership Role, Planning, Program Development
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Harris, Jennifer; Davidson, Laura; Hayes, Ben; Humphreys, Kelly; LaMarca, Paul; Berliner, BethAnn; Poynor, Leslie; Van Houten, Lori – Regional Educational Laboratory West, 2014
Listening closely to what students say about their school experiences can be beneficial to educators for understanding and addressing school-related topics and problems and rethinking policies and practices. The purpose of this toolkit is to provide educators with a purposeful and systematic way to elicit and listen to student voice to inform…
Descriptors: Student Attitudes, Data Collection, Data Analysis, Educational Improvement
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Ziv Feldman – Mathematics Teaching in the Middle School, 2014
This article describes an exciting exploration-based activity in which students develop an alternative definition of factor that can help them solve problems like the one presented above. Students work in groups to collect data, analyze the data to make conjectures, and then spend a significant amount of time debating and justifying their…
Descriptors: Learning Activities, Active Learning, Problem Solving, Data Collection
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Herzog, Serge – New Directions for Institutional Research, 2014
Estimating the effect of campus math tutoring support, this study demonstrates the use of propensity score weighted and matched-data analysis and examines the correspondence with results from parametric regression analysis.
Descriptors: Probability, College Mathematics, Tutoring, Data Analysis
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Howell, Roy D. – Measurement: Interdisciplinary Research and Perspectives, 2014
Building on the work of Bollen (2007) and Bollen & Bauldry (2011), Bainter and Bollen (this issue) clarifies several points of confusion in the literature regarding causal indicator models. This author would certainly agree that the effect indicator (reflective) measurement model is inappropriate for some indicators (such as the social…
Descriptors: Statistical Analysis, Measurement, Causal Models, Data Interpretation
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Nor, Mohamed Yusoff Mohd. – International Education Studies, 2014
In a modern society, the schools have become very important entities because they form a social institution, which interests many people and involves the role of various interest groups and stakeholders in the society. The community where a school resides and the parents of children of those who go to that school will be proud if their school if…
Descriptors: School Effectiveness, Academic Achievement, Measurement Techniques, Data
López Puga, Jorge – Teaching Statistics: An International Journal for Teachers, 2014
The aprioristic (classical, naïve and symmetric) and frequentist interpretations of probability are commonly known. Bayesian or subjective interpretation of probability is receiving increasing attention. This paper describes an activity to help students differentiate between the three types of probability interpretations.
Descriptors: Probability, Bayesian Statistics, Data Interpretation, Instructional Materials
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Sinharay, Sandip; Haberman, Shelby J. – Educational Measurement: Issues and Practice, 2014
Standard 3.9 of the Standards for Educational and Psychological Testing ([, 1999]) demands evidence of model fit when item response theory (IRT) models are employed to data from tests. Hambleton and Han ([Hambleton, R. K., 2005]) and Sinharay ([Sinharay, S., 2005]) recommended the assessment of practical significance of misfit of IRT models, but…
Descriptors: Item Response Theory, Goodness of Fit, Models, Tests
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John, Ginelle; Stage, Frances K. – New Directions for Institutional Research, 2014
Numbers of students of color enrolling in higher educational institutions is expected to increase across all racial groups. With continued increases in minority enrollments, minority-serving institutions have and will continue to play a major role in educating student of color. A large national data set was used to examine the numbers of…
Descriptors: Minority Group Students, Higher Education, Bachelors Degrees, Statistical Data
Grantmakers for Education, 2014
In 2011, Grantmakers for Education (GFE) partnered with the Monitor Institute to develop the K-12 Education Strategy Landscape Tool--an asset mapping tool that used interactive data visualization to provide a clear picture of the who, what, where, and when of education grantmaking. The prototype launched in January of 2012. Over a dozen funders…
Descriptors: Grants, Educational Finance, Private Financial Support, Visual Aids
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