-side in the course due to the widespread adoption of these twolanguages across STEM fields and the accessibility to novice programmers. MATLAB has anextensive collection of built-in functions, toolboxes, and visualization capabilities well-suited toSTEM applications. Python is open source and is emerging as the standard language for openscientific computing. “The learning progression across two programming languages is critical todeveloping a student’s ability to generalize across various computational tools”[2]. Thus, we usedboth MATLAB and Python for the course. With competency in both of these languages, studentscould extend their skills into other languages such as C, Java, or FORTRAN as needed.This paper is written in a “steal this course
Paper ID #7252A Computer-Controlled Biodiesel ExperimentDr. William M. Clark, Worcester Polytechnic Institute William Clark is an associate professor in the Chemical Engineering Department at Worcester Polytechnic Institute. He holds a B.S. from Clemson University and a Ph.D. from Rice University, both in Chemical Engineering. He has taught thermodynamics, separation processes, and unit operations laboratory for over 25 years. In addition to research efforts in teaching and learning, he has conducted disciplinary research in separation processes.Mr. Nicholas Janeiro Medeiros, Worcester Polytechnic InstituteDonal James
AC 2007-1550: VISUAL LEARNING IN A MATERIAL/ENERGY BALANCE CLASSRichard Zollars, Washington State University Dr. Zollars is a professor in, and director of, the School of Chemical Engineering and Bioengineering at Washington State University. He received his Ph.D. from the University of Colorado. He has been teaching engineering for 28 years. His interests are colloidal/interfacial phenomena, reactor design and engineering education.Christopher Hundhausen, Washington State University Dr. Hundhausen is an assistant professor of computer science in the School of Electrical Engineering and Computer Science at Washington State University. Director of the Visualization and End User
Paper ID #13795Assessing Studio-based Learning in a Material/Energy Balance ClassesDr. Richard L. Zollars, Washington State University Richard Zollars has been on the faculty at Washington State University for 36 years. He has had numer- ous educational grants, including two in support of an on-going investigation of the use of studio-based learning techniques in regular classroom settings.Dr. Christopher Hundhausen, School of Electrical Engineering and Computer Science, Washington State Uni-versity Christopher Hundhausen is an associate professor in the School of Electrical Engineering and Computer Science at Washington
Paper ID #25324Using or Viewing a Demonstration of Inquiry-Based Computer Simulations:The Effectiveness of Both in Learning Difficult Concepts in Heat TransferDr. Katharyn E. K. Nottis, Bucknell University Dr. Nottis is an Educational Psychologist and Professor Emeritus of Education at Bucknell University. Her research has focused on meaningful learning in science and engineering education, approached from the perspective of Human Constructivism. She has authored several publications and given numerous presentations on the generation of analogies, misconceptions, and facilitating learning in science and engineering
represented among Research & Development (25%),Plant and Process Support (18%), and Process Design and Analysis (29%), with other roles alsorepresented. The respondents with PhDs had more years of experience (35% over 21 years),while those with a BS degree tended to have less experience (45% less than 5 years).After the initial questions on the background of the respondent, the first question asked, “whichof the following is most appropriate for your industry?” Using computer applications was themost important computing tool for industry with over 60% choosing this option. The otheroptions of statistics/analytics, programming, and machine learning were ranked as less important.As seen in the 1997 and 2003 surveys nearly all chemical engineers use
AC 2012-4402: IMPROVEMENTS IN COMPUTATIONAL METHODS COURSESIN CHEMICAL ENGINEERINGDr. Joshua A. Enszer, University of Maryland Baltimore County Joshua Enszer is a full-time lecturer in chemical engineering at the University of Maryland, Baltimore County. He has taught core and elective courses across the curriculum, from introduction to engineering science and material and energy balances to process control and modeling of chemical and environmental systems. His research interests include technology and learning in various incarnations: electronic port- folios as a means for assessment and professional development, implementation of computational tools across the chemical engineering curriculum, and game-based
: REvolutionizing engineering and computer science Departments (IUSE PFE\RED) - Formation of Accomplished Chemical Engineers for Transform- ing Society. She is a member of the CBE department’s ABET and Undergraduate Curriculum Committee, as well as faculty advisor for several student societies. She is the instructor of several courses in the CBE curriculum including the Material and Energy Balances, junior laboratories and Capstone Design courses. She is associated with several professional organizations including the American Institute of Chemical Engineers (AIChE) and American Society of Chemical Engineering Education (ASEE) where she adopts and contributes to innovative pedagogical methods aimed at improving student learning
Paper ID #25565Identifying Challenging Spreadsheet Skills Using Reading and HomeworkAnalytics from an Interactive TextbookProf. Matthew W. Liberatore, University of Toledo Matthew W. Liberatore is a Professor of Chemical Engineering at the University of Toledo. He earned a B.S. degree from the University of Illinois at Chicago and M.S. and Ph.D. degrees from the University of Illinois at Urbana-Champaign, all in chemical engineering. His current research involves the rheology of complex fluids as well as active learning, reverse engineering online videos, and interactive textbooks. His website is: http://www.utoledo.edu
AC 2010-505: LEARNING THROUGH REVERSE ENGINEERINGShannon O'Brien, Manhattan CollegeJ.Patrick Abulencia, Manhattan College Page 15.838.1© American Society for Engineering Education, 2010 Learning through Reverse EngineeringAbstractEngineering students have always practiced the skill of problem solving by repetition. Professorswould assign problem after problem for students to attempt, struggle, and hopefully learn.Although practice through repetition is a viable method to improve student ability, many stillhave difficulty.Cognitive psychologists have identified several traits of “expert” problem solvers. First, expertsare known to be skilled in recognizing familiar
learning material will enable instructors to easily select, share, expand, and modify Page 23.69.5the materials to fit students with various learning capabilities and career goals.Due to the complex nature of the biofuel processes and students’ limited exposure to biofueltechnology, most students would feel incompetent in dealing with problems related to biofuel.To help students overcome this barrier, we have also been creating a series of web modules toaccompany the classroom modules by exploiting two instructional strategies: computer-assistedinstruction and visual learning. Computer-assisted instruction is an innovative instructionalstrategy
materials touse in the classroom. These include: the bioengineering educational materials bank1:(http://www.bioemb.net) the materials digital library pathway2: (http://matdl.org), theMassachusetts Institute of Technology open courseware site3 (http://ocw.mit.edu), andthe Multimedia Educational Resource for Learning and Online Teaching site4 Page 23.1314.2(http://www.merlot.org).In the summer of 2006, several faculty began a “Fuel Cell Curriculum DevelopmentProject” with seed support from the CACHE Corporation (Computer Aids forChemical Engineering), with additional support from the United States Department ofEnergy, Michigan Technological University, and now
at Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical un- derpinnings of learning with computer-based multimedia resources; knowledge representation through interactive concept maps; meta-analysis of empirical research, and investigation of instructional princi- ples and assessments for engineering designs. Dr. Adesope holds a Ph.D. in Educational Psychology and M.Sc. in Educational Technology from Simon Fraser University, Canada.Dr. Shane A. Brown P.E., Washington State University Dr. Shane Brown conducts research on cognition and conceptual change in engineering. He received
quasi-experimental study compared two implementation methods forinquiry-based activities to address misconceptions about thermal radiation and rate versusamount of heat transferred with undergraduate engineering majors. One group of participantsused computer simulations while the other group primarily did physical experiments. Changes inconceptual understanding were assessed using the Heat and Energy Concept Inventory (HECI;[21], [22]) and two of its sub-tests: Rate versus Amount and Radiation. Both implementationgroups sampled were predominantly composed of white males with self-reported GPAs of 3.0and higher. Findings showed that participants who used physical experiments to learn theconcepts had significantly higher mean post-test scores on
Paper ID #12331A Unit Operations Laboratory Experiment Combined with a Computer Sim-ulation to Teach PID Controller TuningDr. William M. Clark, Worcester Polytechnic Institute Professor Clark holds B.S. and Ph.D degrees in Chemical Engineering from Clemson University and Rice University, respectively. He has been teaching in the Chemical Engineering Department at Worcester Polytechnic Institute since 1986. His teaching interests include thermodynamics, separations processes and unit operations laboratory. He conducts research in separations processes and teaching and learning, particularly in combining laboratory experience
Paper ID #15628Computer-Aided Design for Dimensional Stability of Injection Molded Fiber-Reinforced PolymersMr. Christopher J. Hershey, Michigan State University Christopher Hershey is a third year Chemical Engineering doctoral student and a Graduate Research Assistant in the Department of Chemical Engineering and Materials Science at Michigan State University. He received dual BS degrees in Chemical Engineering and Computational Chemistry at Michigan State University. During his undergraduate studies, he worked as a Resident Assistant for four years as well as an Undergraduate Research Assistant focusing on computational
introduce students to the career while ensuringthat they have the necessary background skills (unit conversions, graphing, etc.). ChE 1013 is athree-hour course taught in the spring semester. The students learn to program with Excel andVBA and use these skills in a design project and competition. The design project varies fromyear to year but always involves students designing and running their own experiments to controla chemical reaction for a defined purpose. This is potentially chaotic, but small class sizesenable the professor to manage this in a safe and beneficial manner. In 2008, the enrollment inChE 1013 exceeded the available space in the largest computer classroom and the instructor’sability to safely manage the design project and
project.Procedure: Description of the study For the purposes of this study, active learning in the class room consisted of thetime when the student were actively solving problems alone or in a group, verballyanswering and asking questions to/from the instructor or working on internet-basedresearch or computer simulation. The other class time, not attribute to active learning,consisted of the instructor lecturing, verbally responding to questions from the studentsand verbally posing questions from the students. During the first two to three weeksegment (segment A) of the fall 2007 semester (seven 50 minute classes), as introductoryconcepts were covered, the instructor used the same teaching style for both sectionswhich included spending approximately
from those of traditional lecture-based courses. For example, in Hi-PeLE, one mayencounter individual or team-based projects or both. Students interact with the facilitator of learning (i.e.,the professor), classmates, TAs, and even former instructors and vendors. Projects, primarily team-based,may be theoretical, computational, or experimental in nature and in some cases a combination of these arealso used. For those versions of Hi-PeLE that use an innovative and creative student-centered component(part of the Linear Engineering Sequence, LES) a working prototype of a proposed device may berequired as an outcome. Furthermore, a course offered in a Hi-PeLE format may involve studentparticipation in reading and/or discussion in formal or
he also provides leader- ship education as well as scenario-based learning about chemical processes to the chemical engineering department. c American Society for Engineering Education, 2020 Development of Learning Modules for Process Plant Operation Richard Turton (presenter), Brent Bishop, and Fernando Lima Department of Chemical and Biomedical Engineering West Virginia University, Morgantown, WV 26508AbstractAdvances in course content for the capstone design course in chemical engineering over the past30 years have been very significant. Many of these advances have been facilitated by theincrease in computing power now available to students through
at WSU. He is married with three children.509-338-5724.Ashfaq Ansery, Washington State UniversityBaba Abdul, Washington State University Baba Abdul received an MSc. in Chemical Engineering from Ahmadu Bello University, Nigeria in 2005. He is currently a doctoral candidate in the Voiland School of Chemical Engineering and Bioengineering at Washington State University. His research interests include transport processes in minimal support helicosymmetric minichannels and aspects of engineering education (New Engineering Learning Systems & Bringing Technical Research into the classroom). Page 22.1410.1
. (1962) and Ph.D. (1967) degrees in Chemical Engineering from the University of Alberta, Edmonton. Dr. Svrcek’s teaching and research interests centre on process control and design. He is a registered professional engineer in Alberta and Ontario and is actively involved in research with industry. Page 12.581.1© American Society for Engineering Education, 2007 Effective Teaching and Learning in Chemical Process Engineering Design1. IntroductionBefore the age of electronic calculators, mainframe or personal computers, engineers coulddesign many of the structures and
Engineering Entrepreneurship Certificate program in the Bagley College of En- gineering at MSU to enhance business skills in engineering students. Thompson received her Bachelors Degree in Industrial and Systems Engineering and a M.B.A. from Mississippi State University.Mr. John Louis Gazzini, Nimbus Mobile LLCRead Sprabery, Computer Engineering at Mississippi State University Page 23.54.1 c American Society for Engineering Education, 2013A Heat Conduction iPhone and iPad App for Engineering EducationAbstractStudies have shown that most students learn by doing. This is increasingly becomingtrue in today’s generation which is full of texting, tweeting, and emails
AC 2009-1529: ENHANCING STUDENT LEARNING VIA THE USE OF VISUALLYORIENTED SOFTWARE MODULESRichard Zollars, Washington State University Dr. Zollars is a professor in, and Associate Director of, the Gene and Linda Voiland School of Chemical Engineering and Bioengineering at Washington State University. He received his Ph.D. from the University of Colorado. He has been teaching engineering for 30 years. His interests are colloidal/interfacial phenomena, reactor design and engineering education.Christopher Hundhausen, Washington State University Dr. Hundhausen is an associate professor of computer science in the School of Electrical Engineering and Computer Science at Washington State University
by interviewing engineers and building up sales group. • Supported sale work for various professional software and techniques. Graduate Research Assistant, Wayne State University, Detroit, MI, 2002-2006. Summer Intern, Ford Motor Company, Advanced Manufacture Technology Developing Center (AMTD), Dearborn, MI, May- August, 2003. Process Engineer, Tsingda Smartech Co. Ltd., Beijing, China, 2002. PROFESSIONAL SERVICE & HONORS • Session Chair, Modular Design and Process Intensification, the 9th International Conference on Foundations of Computer-Aided Process Design (FOCAPD), July 14- 18, 2019, Copper Mountain, Colorado, USA. • Co-chair for 2018 AIChE Annual Meeting - Conceptual Process Design in Refining
-mentoringworkshop.11 Qualitatively, pairing new students with peer mentors can help new collegestudents navigate the social and cultural adjustments to campus life,12 providing “shared learning,shared caring, reciprocity, commitment to each other’s personal and professional growth.”13Peer mentoring has a documented effect on social integration. In a study by Yeh et al.,adolescents who recently immigrated from China who participated in a peer mentoring programshowed higher peer attachment-trust and need for closeness scores.14 Koppang described a peermentoring program designed to build relationships and foster interaction between education Page
Mechanics and Heat Transfer course, ChE 332, into two sections. Onesection was taught using a novel pedagogy that combines Cooperative, Hands-on, Active, and Problembased learning (CHAPL). The other was taught initially in a manner that attempted to simply removethe hands-on component of the pedagogy. In response to student feedback, this was shifted to an inter-group collaborative environment with each group providing hands-on demonstrations for the rest of theclass. As shown by a focus group study, survey, and end-of-semester written course evaluations, thestudents in the CHAPL section showed greater enthusiasm for the course. Sections of the studentsreports from projects in the class were also analyzed using a critical thinking rubric (CTR
, June 1, 2000 to May 31, 2003. 26. Cornwell, P.J., "Concept Maps in the Mechanical Engineering Curriculum", Proceedings of the 1996 ASEE Annual Conference, Washington D.C., June 1996. 27. Formal Concept Analysis Foundations and Applications Series: Lecture Notes in Computer Science Subseries:Lecture Notes in Artificial Intelligence , Vol. 3626 Ganter, Bernhard; Stumme, Gerd; Wille, Rudolf (Eds.). 28. Stutt, A. (1997) Knowledge Engineering Ontologies, Constructivist Epistemology, Computer Rhetoric: A Trivium for the Knowledge Age. Proceedings of Ed-Media-97, June 1997, Calgary, Canada. 29. Kolb, D., and Fry, R., 1975, “Towards an applied theory of experiential learning”, In Theories of group
Teaching Professor in the Department of Chemical and Biomolecular Engineering at North Carolina State University where he teaches courses in Senior Design, Unit Opera- tions, Transport Phenomena, Material & Energy Balances and Mathematical/Computational Methods. Dr. Cooper’s research interests include effective teaching, process safety education and conceptual learning.Dr. Cheryl A. Bodnar, Rowan University Dr. Bodnar is an Associate Professor in the Experiential Engineering Education Department at Rowan University. Her research interests relate to the incorporation of active learning techniques such as game- based learning in undergraduate classes as well as integration of innovation and entrepreneurship into the
AC 2009-1312: WEB-BASED CLASSES FOR ENHANCEMENT OFPRELABORATORY LECTURESTiffany Hesser, University of New Haven Tiffany Hesser is currently a Visiting Instructor and Organic Laboratory Coordinator at the University of New Haven in Connecticut. She is also involved with the The Summer Institute for Young Women in Science and the Chemistry and Math Enrichment Program.Michael Collura, University of New Haven Dr. Collura, Professor of Chemical Engineering at the University of New Haven, received his B.S. Chemical Engineering from Lafayette College and the M.S. and Ph.D. in Chemical Engineering from Lehigh University. His professional interests include the application of computers to