’ acquisition of, and their ability to use, each type ofknowledge. Although this paper discusses how these methods can be applied to a specificthermodynamics course, the principles of instruction can be applied to a variety of engineeringcourses. A graphic overview of the organization of this paper and key points from each sectionare shown in Table 1.A Framework of Student Cognition: Three Categories of Knowledge The knowledge used during problem solving can be broken into different categories.1,2Pol et al.3, for example, identify declarative, procedural, and strategic knowledge as the types ofknowledge required for problem solving. Mayer and Wittrock4 listed six separate categories intheir description of the knowledge needed for problem solving
engineering projects. The National Academyof Engineering [1, 2] argues that the “Engineer of 2020” must not only be technically capable, butalso be able to understand the contextual requirements and consequences of their work.ABET program accreditation criteria[3] promote contextual engineering practice in several of itsoutcomes criteria [italics added]: (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability (f) an understanding of professional and ethical responsibility (h) the broad education necessary to understand the impact of engineering
organizations (n=512). The second survey (AppendixB) was given at the end of the course, with similar questions to reveal whether there had beenany shift in attitude (n=436). Here are selected results and discussion:Table 1. Familiarity with the following human services areas, 1=not familiar Æ 5=very familiar Human services Before After Statistically significant? Housing Aid 2.27 2.63 Yes, p
misconceptions. These factors include (1) the unfamiliarityof the relevant education literature to many engineering educators, (2) the lack of concept inventories withgood estimates of internal consistency and validity that address core engineering areas and (3) the lack oftested educational materials in engineering similar to those that have been developed and tested inphysics. However, significant progress is happening related to each of these issues. There is awidespread and rapidly growing awareness of the benefits of active-engagement methods in engineeringeducation (Prince, 2004) and significant progress has been made in developing concept inventories forcore engineering topics (Evans, 2003; Reed-Rhoads and Imbrie, 2007; Streveler et al., 2008
for Engineering Education, 2011 m-Outreach for Engineering Continuing Education: A Model for University-Company Collaboration New Jersey Institute of Technology and Cell Podium, LLCThe most prevalent channel today capable of conveying educational and training content is thecell/smart phone. Cell/smart phones possess a unique combination of ubiquity, portability,connectively and low cost which together could make them a valuable educational tool.1 As amethod for providing training and education, m-learning is commonly defined as “e-learningcarried out by means of mobile computational devices” that are “small, autonomous andunobtrusive enough to accompany us in every moment of life”.2Today cell phones
describes how to provide collaborative learning opportunities and fast feedback onexam performance by adding a team component to examinations. The method is supported byresearch in collaborative and active learning pedagogy and has been applied to computer sciencecourses ranging from first-year programming to graduate-level artificial intelligence. This paperrelates the use of team tests in two different university settings, with a range of implementations.Furthermore, it offers suggestions for customizing the technique to fit a specific classroomenvironment.1. INTRODUCTIONFinding the time and opportunity to incorporate active and collaborative learning in your classescan be challenging. Team testing is a collaborative learning activity with low