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Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
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
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Corrigan, M. J.; Gurdineer, E. E. – Journal of Child & Adolescent Substance Abuse, 2012
Objective: This article reports on two separate studies of reliability of the Adolescent Domain Screening Inventory (ADSI), test-retest and internal consistency analyses. The ADSI has shown adequate validity, although reliability has not been established. Methods: Study 1: Students were recruited from two undergraduate courses (N = 29).…
Descriptors: Evidence, Student Evaluation, Data Analysis, Screening Tests
Haertel, Edward H. – National Assessment Governing Board, 2003
The paper initially describes the sources of uncertainty in National Assessment of Educational Progress (NAEP) data and standard errors. As NAEP sample sizes have increased, greater precision has been attained by the program. For this reason, exclusion effects are increasingly important. Two scenarios of revised NAEP results are presented (for New…
Descriptors: Error of Measurement, Computation, Disabilities, Limited English Speaking