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Teaching Engineering Economy As A Hybrid Online Course: Tools, Methods, Assessment, And Continuous Improvement

Conference Session
Effective Tools for Teaching Engineering Economy
Collection
2007 Annual Conference & Exposition
Authors
Phil Rosenkrantz, California State Polytechnic University-Pomona
Tagged Divisions
Engineering Economy
is an attempt to provide credibleevidence that on-line technologies can produce learning outcomes that are at least equivalent toface-to-face classes.Part 2 - On-line Teaching Options, Strategies, and ConsiderationsThere are many books and articles that talk about on-line teaching and learning in highereducation. To provide context for the rest of the paper, it is helpful to reference a very excellentarticle that presents the usage of web technology as a ten-level continuum 1. Note: An emailresponse from one of the developers of the ten-level continuum indicated that there is really a 12level continuum. The Twelve Level Continuum is reflected in Table 2
Relevance Score: 0.00994744

Student Selection Of Information Relevant To Solving Ill Structured Engineering Economic Decision Problems

Conference Session
Effective Tools for Teaching Engineering Economy
Collection
2007 Annual Conference & Exposition
Authors
Sarah Ryan, Iowa State University; John Jackman, Iowa State University; Rahul Marathe, Iowa State University; Pavlo Antonenko, Iowa State University; Piyamart Kumsaikaew, Iowa State University; Dale Niederhauser, Iowa State University; Craig Ogilvie, Iowa State University
Tagged Divisions
Engineering Economy
) Page 12.1316.7can be present in some information context and a subject makes a decision (yes or no) aboutwhether the signal is present. This decision is based on the amount of evidence perceived by thesubject. In our context the decision corresponds to whether an information element is relevant orirrelevant to solving a problem. The amount of evidence is considered to be a random variablewith a normal distribution. The probability distribution reflects the inherent noise (either in theinformation or a subject’s internal decision making process). The decision is modeled as twonormal distributions having the same variance. One distribution corresponds to pure noise (nosignal present) and the other distribution is the signal with noise. The model
Relevance Score: 0.00994744