Paper ID #34474WIP: Integration of Computational Modeling Active Learning ActivitiesWithin a Core Graduate Organ Systems Physiology CourseDr. Timothy E. Allen, University of Virginia Dr. Timothy E. Allen is an Associate Professor in the Department of Biomedical Engineering at the University of Virginia. He received a B.S.E. in Biomedical Engineering at Duke University and M.S. and Ph.D. degrees in Bioengineering at the University of California, San Diego. Dr. Allen’s teaching activities include coordinating the core undergraduate teaching labs and the Capstone Design sequence in the BME department at the University of
Paper ID #27198Project-Based Active Learning Techniques Enhance Computer ProgrammingAcademic and Career Self-Efficacy of Undergraduate Biomedical Engineer-ing StudentsMr. S. Cyrus Rezvanifar, University of Akron S. Cyrus Rezvanifar is a Ph.D. student in Biomedical Engineering at The University of Akron. He has also served as a research assistant in Cleveland Clinic Akron General since 2016, where he conducts research on biomechanics of human knee joint and patellar instability. In 2016, he received a doctoral teaching fellowship from the College of Engineering at The University of Akron. Through this teaching program, he
project was done todetermine the frequency of requiring different types of programming, and whethergeneralizations can be made about the state of undergraduate BME education in this respect. Anumber of specific questions were addressed here, some more completely than others, asexplained in the results. To what extent is there a common set of computer skills that biomedical engineering undergraduates are expected to have? What is the distribution of the different types of computer programming courses across universities, in terms of the languages learned, computer skills for laboratory and design settings, and requirements for modeling and simulation? If there is a requirement for more than one computer language
Health, where she focused on wireless health monitoring for stroke and pediatric asthma. Her current research is on engineering education, specializing in pedagogy strategies to promote learning in design-build-test courses, including senior design, computer programming, and computer-aided-design courses.Dr. Beth A Lopour, University of California, Irvine Beth Lopour has been an Assistant Professor of Biomedical Engineering and Mechanical and Aerospace Engineering at the University of California, Irvine since 2013. She received her B.S. in Mechanical Engi- neering from Northwestern University in 2004 and her PhD in Mechanical Engineering from UC Berkeley in 2009, where her research focused on representations of sleep
learning in a blended classroom.This hypothesis was tested in BME 4641 Bioelectricity, an upper-level elective course withstudents majoring in biomedical engineering or electrical and computer engineering. Twoportfolios of learning activities were designed. Portfolio 1 was traditional and consisted ofsummative assessments based on homework problems and quarterly tests. In addition tosummative assessments, Portfolio 2 included low-stakes formative assessments such as in-classinteractive questions and surveys, team-based discussions, and practice problems. Summativeassessments were the same as those in Portfolio 1 but were weighted less to accommodate thebroader range of learning activities. All students completed Portfolio 2 for the first quarter
Paper ID #30525Work in Progress. Building a Learning Continuum: Forging ConnectionsAcross a Bioengineering Curriculum for Improved Student LearningDr. Sabrina Jedlicka Jedlicka, Lehigh UniversityProf. Eugene Thomas Pashuck, Lehigh UniversityDr. Susan F. Perry, Lehigh University American c Society for Engineering Education, 2020WIP: Building a Learning Continuum: Forging Connections Across a Bioengineering Curriculum for Improved Student LearningAbstract:It is becoming increasingly clear that higher education must adapt to address the needs and learningstyles of a new generation of students and to
influenced by the background of the IMED students themselves, many of whomhave technical (e.g., science and engineering) undergraduate degrees and felt as though the BioEstudents did not contribute a similar level of expertise. Accordingly, one IMED student providedthe following from the post-program survey: “[m]ost IMED students already have strongbackgrounds in science and engineering. The interdisciplinary team in clinical immersion didnot allow me to learn to communicate to an audience with a different technical vocabulary.”Interestingly, there was no significant effect of the program on students’ agreement that needsidentification is necessary for the development of medical products. Indeed, although only six of21 students had previously
the implant they designed can be used in an operation room by surgeons, achieved a betterunderstanding of implant design principles, and learned the importance of surgical procedure andhuman anatomy in biomedical engineering. It provided realistic engineering experiences forstudents and increased their interest in biomedical engineering compared to only studyingthrough computer simulation or lecture. This additional task, considering surgical procedure andtools in design, also required students to develop extensive knowledge of human anatomy andproblem-solving skills. Students expressed that a higher level of proficiency in these engineeringareas were achieved after the course.It is worth noting that most of the students in this study
her MS and Ph.D. in Biomedical Engineering from the University of North Carolina at Chapel Hill and BS in Engineering from Tufts University.Dr. Stephanie M. George, East Carolina University Stephanie M. George received her BS in Engineering Science and Mechanics from Virginia Tech and her PhD in Biomedical Engineering from Georgia Tech and Emory University. She is currently an Assistant Professor of Engineering at East Carolina University and holds an active NSF REU award; Biomedical Engineering in Simulations, Imaging and Modeling (BME-SIM). Her research interests include cardio- vascular mechanics and imaging using computational fluid dynamics. c American Society for Engineering
;• to acquire and use the data thus generated; to interface microcontrollers to analog and digitalactuators and other electronic devices to cause actions in the physical world; and to interfacemicrocontrollers to other computational devices.To accomplish these objectives, the major components of the course were:• review of written material with associated video walk-throughs;• completion of laboratory exercises, with students submitting videos of functioning assignments;• presentation of laboratory exercises in journal form;• module discussion groups;• module quizzes;• a Final Project, in which students were expected to incorporate tools learned in each module.COURSE ORGANIZATIONIWM is a laboratory course hosted entirely
section. In this study, the combination of these learningmethods has been demonstrated to improve student satisfaction in the course.Course DescriptionIn this work, we present a three-year analysis of the junior-level Biotransport laboratory courseat Purdue University’s BME Program. Structured as a guided inquiry-based lab, this courseimplements three 4-6 week modules with a focus on various applications of Biotransportphenomena allowing students to explore the experimental design process. Other tenants of thecourse focus on the design-build-test-learn cycle23 and an integration of experimental inquiryand application of theory through computational modeling of the system under study. Thesemodules focus on the transport phenomena of (1) nutrient
sections. Cronbach’s alpha was computed to assessinternal consistency among the questions for assessing learner satisfaction (Control, 0.67;Intervention, 0.57).Both individual scores and the total score indicated that students in the Control section hadsignificantly higher satisfaction levels with the teaching style, learning environment, andquantity of learning relative to effort than in the Intervention section. Satisfaction with theopportunities for self-assessment was not different between the two sections.An open-ended question asked students to reflect on their level of satisfaction with their ownlearning and achievement in the course. Most students in both sections indicated that they weresatisfied with their learning (Control, 72 of 112
sequence in the BME department at the University of Virginia, and his research interests are in the fields of computational biology and bioinformatics. He is also interested in evaluating the pedagogical approaches optimal for teaching lab concepts and skills, computational mod- eling approaches, and professionalism within design classes. Dr. Allen also serves as PI and director for an NSF-funded Multi-Scale Systems Bioengineering REU site at U.Va. c American Society for Engineering Education, 2019 Retrospective Multi-year Analysis of Team Composition Dynamics and Performance within a Yearlong Integrative BME Laboratory SequenceAbstractUndergraduate Biomedical Engineering majors at the University
bioengineering, service learning, universal design, tissue and protein engineering labs, bioengineering ethics, leadership, and capstone proposal writing and design. She is committed to enhancing diversity and inclusivity in en- gineering, and creating opportunities for undergraduate students to engage in K-12 educational outreach. Dr. Hendricks has over a decade of experience leading educational outreach and summer camp programs at both Duke University and the University of Washington.Dr. Ken Yasuhara, University of Washington Ken Yasuhara is an instructional consultant and assistant director at the Office for the Advancement of Engineering Teaching & Learning (ET&L) at the University of Washington. He completed an
Paper ID #22432Benefits of Active Learning Embedded in Online Content Material Support-ing a Flipped ClassroomDr. Jean-Michel I. Maarek, University of Southern California Jean-Michel Maarek is professor of engineering practice and director of undergraduate affairs in the De- partment of Biomedical Engineering at the University of Southern California. His educational interested include engaged and active learning, student assessment, and innovative laboratories c American Society for Engineering Education, 2018 Benefits of active learning embedded in online content material
extrinsic goal orientation, task value), expectancy (controlbeliefs about learning, self-efficacy), and affect (test anxiety). The learning strategies sectionmeasures cognitive (rehearsal, elaboration, organization, critical thinking), metacognitive(planning, monitoring, regulating), and resource management (time and studying environment,effort management, peer learning, help-seeking) strategies. Students responded to individualitems on a 7-point Likert scale ranging from “not at all true of me” (1 point) to “very true of me”(7 points). The scale score was computed by computing the mean of the items making up thescale. Some items were negatively worded, so scores were reversed before computing the meanscore for the scale.General Self-Efficacy (GSE
, conceptual understanding, studentretention, and student satisfaction. This paper focuses on the implementation of a flipped classroom for anundergraduate biomedical engineering introductory biomechanics course. To flip the classroom, content videoswere created by teaching assistants (TAs) to provide a fist exposure to content material. Students were asked towatch videos prior to coming to class while in-class time was dedicated to practice and feedback via problemsolving. With content disseminated in videos, valuable in-class time was spent utilizing team-based learning tosolve problems in small groups of two to four based on self-selected seating arrangements.A unique aspect of this course was the amount of input, participation, and leadership
feedback, mastery at each step. Learning as All versions of cognitive The learner processes Lectures emphasizing Cognitive theory state that information and creates structural understanding of “knowing” consists of an accurate representation content; having mental models of what is presented in Demonstrations of that have been created and instruction…[i]t is often skills by model; stored in compared to the workings Guided inquiry such the learner’s long-term of a computer as
University (Fort Collins, CO, USA). She has experience working as a graduate teaching assistant for computer aided engineering, biomedical engi- neering capstone design, and biomedical engineering introductory classes. Nicole’s engineering education interests include active learning, metacognitive thinking, and the use of technology platforms. Her doc- toral research is focused on the material properties of spinal cord tissues to contribute to the understanding and treatment of spinal cord injuries.Jasmine Erin Nejad, Colorado State University Jasmine Nejad is a PhD student in the Biomedical Engineering program at Colorado State University (CSU). She completed her B.S. in Biochemistry and M.S. in Biomedical Engineering at
assumption. As Mollona [20] puts it, interactive computational simulation provideslearners an environment to deepen learning.B. Simulation modeling to reduce cognitive loadIn learning circulation system & hemodynamics, students need to have a basic understanding ofphysiological parameters such as heartbeat, blood pressure, or cardiac muscle strength in order torelate them to a patient’s clinical symptoms. Although they do not need to know the intricatedetails, the amount of information involved takes up students’ much needed cognitive resources,leading to increased cognitive load [21, 22], and distracts them from focusing on the problem.The mathematic algorithms built in the interactive simulation model is designed to reduce suchcognitive load
experience.AcknowledgmentThe authors would like to acknowledge the Doctoral Teaching Program in College of Engineeringat The University of Akron for providing teaching fellowships for S. Cyrus Rezvanifar.References[1] Hassini, E., 2006. Student–instructor communication: The role of email. Computers &Education, 47(1), pp.29-40.[2] Gramoll, K., Hines, W. and Kocak, M., 2005, June. Delivery and assessment of teachingStatics over the internet to community college students. In ASEE Annual Conf. Proc., Portland,OR (pp. 12-15).[3] Frees, S. and Kessler, G.D., 2004, October. Developing collaborative tools to promotecommunication and active learning in academia. In Frontiers in Education, 2004. FIE 2004. 34thAnnual (pp. S3B-20). IEEE.[4] Atamian, R. and DeMoville, W
Paper ID #22456Work in Progress: Flipping Synchronous Online Courses to Increase Engage-ment and Enhance LearningDr. Karen R Thickman, University of Washington Karen R. Thickman is a lecturer in the Department of Bioengineering at the University of Washington. She received an A.B. in biophysical chemistry from Dartmouth College, and a Ph.D. in molecular bio- physics from the Johns Hopkins University School of Medicine. She was an assistant teaching professor at Carnegie Mellon University in the Computational Biology Department for five years before transitioning to the University of Washington. Thickman’s teaching interests
devices, benchmarking and recommending glioblastoma treatment for investment, andmodeling and designing experimental studies towards development of pediatric medical devices.Currently, we aim to examine student and faculty perceptions of learning, problem-solving, and teamworkskills with the use of rotating facilitators within an introductory BME course. We will also aim toexamine the influence of student population (BME major versus BME minor) on these perceptions.Introduction: Biomedical engineering (BME) poses several challenges in engineering education.Specifically, the interdisciplinary nature and breadth of the field demands skill and knowledge acquisitionacross biology, chemistry, computer science, and many engineering disciplines
-216, February 01 2006.[6] V. Potkonjak et al., "Virtual laboratories for education in science, technology, and engineering: A review," Computers & Education, vol. 95, pp. 309-327, 2016/04/01/ 2016.[7] E. Scanlon, C. Colwell, M. Cooper, and T. Di Paolo, "Remote experiments, re-versioning and re-thinking science learning," Computers & Education, vol. 43, no. 1-2, pp. 153-163, 2004.[8] J. Ma and J. V. Nickerson, "Hands-on, simulated, and remote laboratories: A comparative literature review," ACM Comput. Surv., vol. 38, no. 3, p. 7, 2006.[9] J. E. Corter, S. K. Esche, C. Chassapis, J. Ma, and J. V. Nickerson, "Process and learning outcomes from remotely-operated, simulated, and hands-on student
reported lab notebooks, but those who Topics Techniques did often also emphasized written Statistics/Experimental Statistical tests (ANOVA, t-tests, communication in their lab learning design etc.) and visualizations outcomes and had lab notebooks account for 13.075% of the overall Anatomy & Physiology BIOPAC use, filtering, sampling, and data processing grade. Participation was on the lower end of the grade percentage for those Design process
facilitate learning laboratory skills while practicing social distancing.references[1] D. D. Burkey, D. D. Anastasio, and A. Suresh, “Improving Student Attitudes Toward the Capstone Laboratory Course Using Gamification,” ASEE Annu. Conf. Exhib., vol. June 23-26, no. Atlanta, GA, 2013.[2] A. Antonaci, R. Klemke, and M. Specht, “The Effects of Gamification in Online Learning Environments : A Systematic Literature Review,” Informatics, vol. 6, no. 32, pp. 1–22, 2019.[3] R. Alsawaier, “The Effect of Gamification on Motivation and Engagement,” Int. J. Inf. Learn. Technol., 2017.[4] M. R. N. Gari, G. S. Walia, and A. D. Radermacher, “Gamification in Computer Science Education: a Systematic Literature Review,” ASEE
Paper ID #23052Work in Progress: Exploring the STEM Education and Learning Impactsof Socially-relevant Making through the Challenge Problem of Making Pros-thetics for KidsMr. Jeffrey Craig Powell, UNC Charlotte Jeff Powell is a graduate student at UNC-Charlotte studying Biological Sciences. He is a graduate of UNC-Chapel Hill’s Biomedical Engineering program. As a student at UNC-CH, Jeff started The Helping Hand Project, a 501c3 non-profit and student volunteer group which supports children with upper limb differences. This includes using 3D-printers to create prosthetic devices for children. The non-profit includes chapters
Paper ID #21577Work in Progress: A New Approach to Student Learning of Real-time Biomed-ical Digital Signal ProcessingDr. Willis J. Tompkins, University of Wisconsin-Madison Willis J. Tompkins received the B.S. and M.S. degrees in electrical engineering from the University of Maine at Orono in 1963 and 1965, respectively, and the Ph.D. degree in biomedical electronic engi- neering from the University of Pennsylvania in 1973. He is currently Professor Emeritus of Biomedical Engineering at the University of Wisconsin-Madison, where he was on the faculty from 1974 until he re- tired in 2014. He previously served for five years
for Engineering Education, 2018 Work in Progress: Problem Based Learning in a Flipped Classroom Applied to Biomedical Instrumentation TeachingIntroductionBiomedical instrumentation is a required course in our Biomedical Engineering (BME) programfor all concentrations: electrical, mechanical, pre-med and tissue engineering. The course hasbeen part of the curriculum since its inception and it is part of a larger set of courses related withmedical devices, as shown in Figure 1. In the early years of the program, the required coursesincluded other courses taught by the Electrical and Computer Engineering (ECE) Department; itincluded courses such as electronics and linear circuits. With the evolution of the BME profession,the
engineering students in learning solid modeling skillsIntroductionEngineering graphics and solid modeling are essential tools for design and manufacturing in thefield of biomedical engineering. Over the past decade, advancements in additive manufacturinghave made building design prototypes from computer models much easier. For example, recentimprovements have been made to development of medical devices [1] or surgical procedures [2]based on specific anatomical characteristics of each individual patient. In addition, solid modelsgenerated in computer-aided design (CAD) programs such as SolidWorks (Dassault Systèmes,Vélizy-Villacoublay, France) are often easily importable to commercial numerical analysissoftware packages such as finite element and