Recognizing the importance of certain areas in the physiology curriculum, and thepaucity of quantitative problems, we have initiated a project to create problems that can be doneby students electronically and independent of a particular textbook. This project uses thepowerful Courseware Authoring and Packaging Environment (CAPE) and ExperimentalLearning Management System (eLMS) that has been developed by the VaNTH ERC 8.CAPE/eLMS problems have many features which differentiate them from problems madeavailable through other learning management systems such as Blackboard. In a CAPE/eLMSproblem, the student interacts continuously with the computer. When a student enters the answerto a problem, he or she receives feedback immediately on whether he or she
, &Lee (2006) found that nearly all workplace problems are complex and ill-structured. Studentsoften only encounter complex ill-defined problems at the end of their four year engineeringprogram and enter the workforce without these critical skills requiring more on the job training.3How can we prepare students to solve these ill-defined complex problems that they willencounter as working engineers? The Vanderbilt-Northwestern-Texas-Harvard/MIT (VaNTH)Engineering Research Center attempted to answer this question in a Biomedical Engineeringcontext. The VaNTH project designed a biotransport engineering curriculum to help studentsdevelop innovation and efficiency.4,5,6 Innovation was operationalized as the adaptive ability toperform well in
AC 2009-793: A TALE OF TWO CITIES: DISTANCE-LEARNINGTECHNOLOGIES IN AN INTERINSTITUTIONAL BME DEPARTMENTMia Markey, University of Texas, Austin MIA K. MARKEY is an Associate Professor in The University of Texas Department of Biomedical Engineering. The mission of her Biomedical Informatics Lab is to design cost-effective, computer-based decision aids. The BMIL develops decision support systems for clinical decision making and scientific discovery using artificial intelligence and signal processing technologies. The BMIL's research portfolio also includes projects in biometrics. Dr. Markey’s primary interests in improving engineering education are the identification of effective strategies
and learning opportunities within their discipline.Bibliography1. Nelson, R.K. (2008). Physiology and the biomedical engineering curriculum: How approaches to physiology instruction advance subsequent learning of BME topics. Unpublished report.2. ABET Engineering Accreditation Commission (2007). Criteria for accrediting engineering programs.3. National Academy of Engineering (2004). The engineer of 2020. Washington DC: The National Academies Press.4. Silverthorn, D.U. (2002). Developing a concepts-based physiology curriculum for bioengineering: A VaNTH project. Second Joint EMBS/BMES Conference. Houston, TX: IEEE.5. Linsenmeier, R.A. (2003). What makes a biomedical engineer? IEEE Engineering in Medicine and
ideas, including “intentionally destroy dying heart tissue over time, so that the bodycan more easily compensate” (3.1), “add an additional heart to the body” (4.1), “implantsmall pumps in various parts of the body where flow is decreased to help maintain flow”(6.7) and “utilized enzymes to ‘eat’ the plaque build-up” (7.2). The full list is shown inPart B of the Appendix.Some of the new ideas developed using this process may already exist, but were notencountered during research. During the project, several ideas were developed whilegenerating ideas and then later found in literature upon further research. Due to a limitedknowledge-base of the authors in medicine, not all ideas could be fully researched.Though an important step before starting
. The rubrics have a different number of performance indicators (or dimensions) toallow for a comprehensive tool that describes multiple facets of the outcome to be assessed. Theperformance indicators of each rubric were built in view of the performance indicators of eachengineering course in the program. Each outcome specific rubric was agreed upon the facultyand calibrated on a “senior level” of intellectual maturity since ABET’s evaluation is based onattributes achieved by students upon graduation. The assignments were designed specifically tosatisfy each dimension of the rubric and consisted in questions or problems presented to thestudents in midterms and final exams/projects. The four levels of the rubrics are: Unsatisfactory,Marginal
scores andscores received when serving as a discussant. Right: There is a weak positive trend toward increased scores whenserving as a discussant and overall class participation.Retention and recallWe conducted a 12-month post-test of the students from the inaugural class to determine whetherlearning in the Socratic format improves retention and recall. Twenty multiple-choice questionswere selected from across the semester and re-issued to students using the same online quizprotocol that we used during the semester (QuestionPress). This study was reviewed andexempted by our Social and Behavioral Sciences Institutional Review Board (project 2013-0384-00).Average retention and recall measured mid-semester was 75±4% on the same questions used inthe
Awards Dinner and and Icebreakers Medical Ethics: Game Night Engineering 6 – 9 PM Scavenger Hunt Movie and 6 – 9 PM Design Projects 7 – 9 PM Discussion 7 – 9 PM 7 – 9 PMMicroscopyThis activity introduced participants to various techniques of microscopy, including opticalmicroscopy, scanning electron
and chemistry classes. He is currently conducting research on NSF projects in two areas. One is studying how strategies of engagement and feedback with support from internet tools and resources affect conceptual change and associated impact on students’ attitude, achievement, and per- sistence. The other is on the factors that promote persistence and success in retention of undergraduate students in engineering. He was a coauthor for best paper award in the Journal of Engineering Education in 2013.Dr. Casey Jane Ankeny, Arizona State University Casey J. Ankeny, PhD is lecturer in the School of Biological and Health Systems Engineering at Ari- zona State University. Casey received her bachelor’s degree in Biomedical
Capstone project involve computational systems modeling and/or analysis? Rate your answer on a scale of 1-5 (5 being extensive, 1 being none). 16. How do you feel that your ability to build and/or validate computational models has changed since last August? Rate your answer on a scale of 1-5 (5 being greatly improved, 1 being gotten much worse).For the results presented questions 10-14, 125 corresponds to “very low preference” to “veryhigh preference” for a job involving the skill in question. (All other scores are as indicated onthe survey questions.) Table 1 below summarizes the weighted averages of the scores for all 14questions in Round 1 and all 16 questions in Round 2 of the survey. In both surveys, the resultswere split