Conference Session

The 2017 Zone Best Paper Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Eileen Haase Ph.D., Johns Hopkins University; Harry R. Goldberg, Johns Hopkins University

Tagged Topics

Council of Sections

high school, while many only have a weakbiology background. At the start of the course, the students were asked to complete a survey usedto assess their learning preferences1. Almost two-thirds of the students (62%) were multimodal,learning through a combination of visual, aural, read/write, or kinesthetic modes. For the 38% ofstudents who preferred a single learning style, most preferred read/write (18%) modes oflearning. Only 3% of students had an aural learning preference, while 9% had a visual learningpreference, and 8% leaned towards kinesthetic (Fig. 1). We used this information to support ourview that a diverse learning environment with a variety of activities would significantly enhancethe students’ understanding of the material

Conference Session

The 2017 Zone Best Paper Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sean St. Clair, Oregon Institute of Technology

Tagged Topics

Council of Sections

, taught the same material to each section, and ensuredthat each section was working with the same knowledge base and skill set. Students wereintroduced to the basics of truss analysis during the first two lecture periods. The interventiontook place during the third lecture period, wherein each of the three sections had a differentexperience. 3One group used a tool-type software to complete a truss analysis exercise. Dr. Frame17, thesoftware used, is a structural analysis program used in both industry and education. It allows theuser to quickly model, analyze, and manipulate two-dimensional structural models. Figure 1 is ascreenshot of the software showing a truss model that has been built and

Conference Session

Best Zone Paper Competition

Collection

2011 ASEE Annual Conference & Exposition

Authors

Rebecca A Bates, Minnesota State University, Mankato; Andrew Petersen, University of Toronto Mississauga

Tagged Topics

Council of Sections

-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 implementationcosts and multiple advantages for both students and faculty. Along with the obvious benefit ofdeveloping team problem solving and discussion skills, students receive fast feedback on theirperformance, the instructor spends less time reviewing the exam (in class and with individuals),and the classroom

Conference Session

Best Zone Paper Competition

Collection

2011 ASEE Annual Conference & Exposition

Authors

Amelito G. Enriquez, Canada College

Tagged Topics

Council of Sections

in the MathPlacement test. Almost all participants scored higher in the placement test compared to their pre-program scores. For sixty four percent of them, the improvement in their scores was highenough to place them to at least the next higher math class. Engineering Institute participantsshowed improved understanding of the engineering profession and the engineering educationalsystem. Participants from both programs also expressed positive overall attitude and opinions ofthe program objectives, content, activities and implementation.1. IntroductionCommunity colleges serve as the gateway to higher education for large numbers of students inthe U.S., especially minority and low-income students. Yet for many students, the communitycollege

Conference Session

Best Zone Paper Competition

Collection

2011 ASEE Annual Conference & Exposition

Authors

Donna M. Rizzo, University of Vermont

Tagged Topics

Council of Sections

of Vermont (UVM) incorporated systems thinking and asystems approach to engineering problem solving within their programs. A systems thinkingapproach regards social, environmental and economic factors as necessary components of theproblem solution. Because it is a whole systems approach it also encompasses sustainability. Wehave integrated systems thinking in the following ways; 1) new material has been included intokey courses (e.g. the first-year introductory and senior design courses), 2) a sequence of threerelated environmental and transportation systems courses have been included within the curricula(i.e., Introduction to Systems, Decision Making, and Modeling), and 3) service-learning (S-L)projects have been integrated into key

Conference Session

Best Zone Paper Competition

Collection

2011 ASEE Annual Conference & Exposition

Authors

Dan Budny P.E., University of Pittsburgh

Tagged Topics

Council of Sections

, we hope to provide other educators in both science andengineering with useful tools to assist them in developing and/or enhancing the use of writingwithin their own classrooms.IntroductionABET accreditation requirements emphasize the importance of “soft” skills in planning andachieving excellence in engineering education. In addition to “hard” knowledge, engineersneed to experience and understand “communication, teamwork, and the ability to recognizeand resolve ethical dilemmas.”[1] These skills are powerful when combined with awarenessskills involving “understanding the impact of global and social factors, knowledge ofcontemporary issues, and the ability to do lifelong learning.”[1] What is the most effectiveway of incorporating this into

Conference Session

The 2017 Zone Best Paper Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Todd Easton, Kansas State University

Tagged Topics

Council of Sections

the basicvariables can be identified with the identity matrix in the tableau. The value of these variablesare the right hand side. All other variables are called nonbasic and have a value of 0 at thecurrent solution. The algorithm finds the most improving column (most negative element in thefirst row) and enters it. The algorithm selects a row through the ratio test, which is the right handside divided by the selected column element, if the column element is positive and infinityotherwise. The minimum value of the ratio test selects the row. The intersection of the selectedrow and column is the pivot element. A pivot uses elementary row operations to make thepivoted element a 1 and every other element in the column a 0. This process repeats