- Conference Session
- Engineering Economy Division Technical Session 2
- Collection
- 2017 ASEE Annual Conference & Exposition
- Authors
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Isaac W Wait, Marshall University; Sameh M. El-Sayegh, American University of Sharjah; Salwa Mamoun Beheiry, The American University of Sharjah
- Tagged Divisions
-
Engineering Economy
there is less than a 95% probability that the two groups are actually different.The significance of differences in overall student score for the questions of the pre- and post-testwere determined using a one-tailed t-test (Equation 4). x 0 t (Equation 4) s/ nWhere: ̅ = Mean score on concept inventory, end-of-semester = Mean score on concept inventory, beginning-of-semester s = Standard deviation, end-of-semester n = Number of students, end-of-semesterThe internal consistency of the concept inventory was evaluated with the Kuder-RichardsonFormula 20 approach (Equation 5). k j 1 p j q j k
- Conference Session
- Industrial Engineering Division Tech Session 2, IE-ing the Classroom
- Collection
- 2017 ASEE Annual Conference & Exposition
- Authors
-
Dia St. John, University of Arkansas; Eric Specking, University of Arkansas
- Tagged Divisions
-
Engineering Economy, Engineering Management, Industrial Engineering
Libraries’ Efforts in Inclusion and Outreach Activities Using Social Media,” LIBRI, vol. 65, no. 1, pp. 34–47, 2015.[11] B. M. Moskal, C. Skokan, L. Kosbar, A. Dean, C. Westland, H. Barker, Q. N. Nguyen, and J. Tafoya, “K-12 Outreach: Identifying the Broader Impacts of Four Outreach Projects,” Journal of Engineering Education, vol. 96, no. 3, pp. 173–189, 2007.[12] M. Borrego, “Development of engineering education as a rigorous discipline: A study of the publication patterns of four coalitions,” Journal of Engineering Education, vol. 96, no. 1, pp. 5–18, 2007.[13] E. Specking and R. Almaian, “An Analytic Hierarchy Process Approach to Engineering Outreach Decisions,” in IIE Annual Conference. Proceedings, 2013, p. 1078.[14] S. H