- Conference Session
- Engineering Economics New Frontiers
- Collection
- 2015 ASEE Annual Conference & Exposition
- Authors
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Simon Thomas Ghanat P.E., The Citadel; Kenneth Brannan, The Citadel; Ronald W. Welch, The Citadel; Kevin C Bower P.E., The Citadel
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Diversity
- Tagged Divisions
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Engineering Economy
essential to incorporate teaching and learningmethods that adequately address the different learning styles in the classroom, and to developways to promote student motivation6 and engagement. As stated in the literature, engineeringstudents are predominantly active, visual, and sensing learner types 6- 9. However, most teachingmethods in engineering are geared toward reflective, verbal, and intuitive learner types6. This isthe exact opposite of the suggestions made from multiple learning style studies stated in theliterature 6-9. Teaching in engineering is generally more focused on theory, verbal, and passivelearning, as opposed to deductive learning supported by Felder as the preferred learning methodusing practical applications, visual
- Conference Session
- Engineering Economics New Frontiers
- Collection
- 2015 ASEE Annual Conference & Exposition
- Authors
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Zia A. Yamayee, University of Portland; Mojtaba B. Takallou P.E., University of Portland; Robert J. Albright P.E., University of Portland
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Engineering Economy
StudentOutcomes7,8,9Student Outcomes are closely tied to the PEOs. In a general sense,students who achieve the abilities in the 11 ABET Engineeringoutcomes should be prepared to attain the PEOs a few years aftergraduation.Several assessment methods, both direct and indirect, are used formeasuring the degree to which Student Outcomes are beingachieved and for continuously improving the program. Directassessment methods require students to demonstrate their knowledgeand skills, and provide data that directly measure achievement ofexpected outcomes. Indirect assessment methods, such as surveys andinterviews, gather reflection about learning. These methods are likely tosuffer from validity and reliability problems as individual perception oftheir actual performance may
- Conference Session
- Engineering Economics Teaching Tools
- Collection
- 2015 ASEE Annual Conference & Exposition
- Authors
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Ted Eschenbach P.E., University of Alaska Anchorage; Neal A Lewis, University of Bridgeport
- Tagged Divisions
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Engineering Economy
tend to buy when stocks are higher than average and sell when stocks are at or near their lows.15 – 17, 26 There is evidence that fundamental analysis is linked to successful investing.27 – 29 In finance texts, this is presented as a violation of the semi-strong form of the efficient market hypothesis—all publicly available information is generally reflected in market prices. There is evidence that on average technical analysis (relying on past trends or patterns in stock prices) doesn’t support “beating the market.” In finance texts, this is presented as the weak form of the efficient market hypothesis is generally true—market prices generally reflect all information about stock price movements.28