Abstract | ||
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Science, Technology, Engineering, and Mathematics (STEM) outreach programs are becoming increasingly popular and widespread, providing the necessary opportunity to engage K-12 students in these fields. However, it is unclear what the best measures of effectiveness are for these types of programs. It is known that behavioral, academic, and changes in career-related choices can be observed among STEM program participants but limited objective evidence exists to support the goodness of any single measure.Moreover, the reliability of the data sources, namely the youth, parent, teacher, or administrative records that provide key information about the program experience is unknown. There are also short-term (e. g., improved grades, improved self-confidence) and long-term (e. g., removal of barriers to advancement in math and science) outcomes which present even more difficulties in determining the ideal measures of success.This paper explores these issues in the context of a STEM outreach program called the Arizona Science of Baseball, managed by the University of Arizona, employing systems engineering principles. Participants in a 2012 pilot program were 7th and 8th grade students from Mansfield Middle School in Tucson, Arizona which provide a useful case for testing and evaluating a variety of measures. (C) 2013 The Authors. Published by Elsevier B.V. Selection and/or peer-review under responsibility of Georgia Institute of Technology. |
Year | DOI | Venue |
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2013 | 10.1016/j.procs.2013.01.111 | 2013 CONFERENCE ON SYSTEMS ENGINEERING RESEARCH |
Keywords | Field | DocType |
STEM, Outreach Programs, System Engineering Principles, Science of Baseball, Effectiveness Measures, Outcomes | Medical education,Objective Evidence,Computer science,Outreach,Artificial intelligence,Machine learning | Journal |
Volume | ISSN | Citations |
16 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ricardo Valerdi | 1 | 233 | 29.76 |
Jose Monreal Jr. | 2 | 0 | 0.68 |
Daniel Valenzuela | 3 | 35 | 6.65 |
Kenji Hernandez | 4 | 0 | 0.34 |