Conference Session

ChE: Bioengineering, nanotechnology, and systems engineering in the Classroom

Collection

2007 Annual Conference & Exposition

Authors

Milo Koretsky, Oregon State University; Danielle Amatore, Oregon State University; Shoichi Kimura, Oregon State University; Alexandre Yokochi, Oregon State University

Tagged Divisions

Chemical Engineering

donation of a Phenom.ED benchtop scanning electron microscope bythe FEI corporation through their beta test program, and the LL Stewart Faculty Scholars Grantfor the development of the WISE learning tool. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.11. References1. http://www.nano.gov/html/facts/faqs.html. Accessed 01/15/07.2. Fonash, Stephen J., Carl A. Batt, Paul Hallacher, Thomas Manning, and Anna Waldron, Nanotechenology Undergraduate Education: A Report and Recommendations Based on a Workshop Held on September 11-12, 2002 at the National Science Foundation.3. Fonash, S. J. “Education and

Conference Session

ChE: Bioengineering, nanotechnology, and systems engineering in the Classroom

Collection

2007 Annual Conference & Exposition

Authors

Thomas Marlin, McMaster University; Andrew Hrymak, McMaster University; John MacGregor, McMaster University; Vladimir Mahalec, McMaster University; Prashant Mhaskar, McMaster University; Christopher Swartz, McMaster University

Tagged Divisions

Chemical Engineering

, 2007.7. Woods, D. (1994). Problem-Based Learning: How to Gain the Most from PBL, D.R. Woods, Waterdown, Ontario.8. Armstrong, R. (2006). (http://mit.edu/che-curriculum/index.html) last visited February 7, 2007.9. Pritchard, C. (2003) Make It a Double, PRISM, 12 (8), 37-38 , April 200310. Rugarcia, A., R. Felder, D. Woods, and J. Stice (2000). The Future of Engineering Education, Chem. Engr. Ed., 34, 16.11. Qin, S. J. and T. Badgwell (2003) A Survey of Industrial Model Predictive Control Technology, Contr. Eng. Practice, 11, 733-76412. MacGregor, J.F., H. Yu, S. Garcia-Munoz and J. Flores-Cerrillo, “Data-base Latent Variable Methods for Process Analysis, Monitoring and Control”, Computers & Chem. Eng., 29

Conference Session

ChE: Innovations in the Classroom

Collection

2007 Annual Conference & Exposition

Authors

Lisa Bullard, North Carolina State University; Richard Felder, North Carolina State University

Tagged Divisions

Chemical Engineering

averageof the midterm exam grades (40%, with the lowest of the three grades counting half as much aseach of the other two), the final exam grade (30%), homework grades, with team grades adjustedfor individual team citizenship (20%), and problem session quizzes and in-class exercises (10%).The grading criteria were as follows: >97=A+, 93–96.9=A, 90–92.9=A–, 87–89.9=B+,..., 63–66.9=D, 60–62.9=D–, <60=F. A grade of C– or better is required to move on to the next coursein the departmental curriculum. The course grade distribution was as follows, with “A” denoting grades of A+, A, and A–, and similarly for B, C, and D: A–18%, B–36%, C–27%, D–6%, F–9%, (S, U, IN)–4%. Gradesof S and U (satisfactory and unsatisfactory) are given to students

Conference Session

Chemical Engineering Poster Session & Unit Operations Lab Bazaar

Collection

2013 ASEE Annual Conference & Exposition

Authors

Arthur Felse, Northwestern University

Tagged Divisions

Chemical Engineering

. 3 -8 2Surface concentration of PCE is 2 g/m of soil. Diffusivity of PCE in soil is 8.8 x 10 m /s. Student teams were asked to develop an emergency management plan for a lab (teachingor research lab) in the department. They were asked to do a walk-around of the space anddetermine the locations of nearest eye wash, safety shower, first aid kits, and spill kits. Theywere also asked to identify emergency exit routes, rally points, and emergency contactinformation for that space. Students used the lab space floor plan to mark the location of safetydevices and kits, and to chart emergency routes. Example of an emergency management plan isgiven in figure 5. Student teams then compared their

Conference Session

Bringing Industrial Applications into the Classroom

Collection

2013 ASEE Annual Conference & Exposition

Authors

Maddalena Fanelli, Michigan State University; Daina Briedis, Michigan State University; Dennis J. Miller, Michigan State University; Martin C Hawley, Michigan State University

Tagged Divisions

Chemical Engineering

to be evacuated.For the thorough safety review, students are asked to include the following additionalinformation: 1. a flow diagram showing key valves, pumps, feed and product tanks; 2. material compatibility information and general operating limits for the stand and auxiliary equipment (as shown in Table 3); 3. a simple What If analysis including at least three possible failure modes (as shown in Table 4) and any recommendations and action items that require attention from the safety perspective. Table 1. List of starting materials, additives, products, and by-products for the experiment. ID Chemical Name(s) Function in the Process 1 2

Conference Session

Curriculum Development and Assessment in Chemical Engineering

Collection

2014 ASEE Annual Conference & Exposition

Authors

Vincent Wilczynski, Yale University; Isabella M. Quagliato, Yale University: School of Engineering & Applied Science

Tagged Divisions

Chemical Engineering

Conference Session

Perspectives and Approaches to Teaching Simulation and Design-Based Courses

Collection

2013 ASEE Annual Conference & Exposition

Authors

Richard Turton P.E., West Virginia University

Tagged Divisions

Chemical Engineering

times during its life. Plantoperations are, in principle, addressed in the traditional process control course(s) in theundergraduate curriculum. However, the operability of complete processes is usually outside thescope of these courses.An observation from teaching process design over a period of approximately 25 years is thatstudents have become increasing adept at using computer software and performing increasinglycomplex simulations using simulator software. Parametric optimization and extensive heatintegration are examples of improvements that can be and that are now easily simulated butwould have been nearly impossible or prohibitively time consuming only 25 years ago. Thisimprovement in software acuity seems to come at the price of

Conference Session

Demonstration and Project Enhancements in Chemical Engineering Education

Collection

2010 Annual Conference & Exposition

Authors

Allen Yang, Cornell University; Kathryn Dimiduk, Cornell University; Susan Daniel, Cornell University

Tagged Divisions

Chemical Engineering

them. The remainingstudents indicated that they were attracted to this profession because of a specific interest inchemistry and mathematics, or other specialized interests.Free response question: What career path(s) are you interested in?Table 1 summarizes the student responses to this second question. Unlike the numbers in theabstract, which were rounded off percentages for the entire class, these numbers are percentagesof the respondents whose answer included a career in the category.Table 1. Student Career Interests(Totals exceed 100% as some students listed more than one career choice) Career Interests Percent of Respondents Biology related (pharmaceutical, biomedical

Conference Session

SPECIAL SESSION: Interdisciplinary Course Design Opportunities for Chemical Engineers

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jeffrey A Nason, Oregon State University; Bill J. Brooks, Oregon State University; Milo Koretsky, Oregon State University

Tagged Divisions

Chemical Engineering

Conference Session

Chemical Engineering Pedagogy

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Charles E. Baukal Jr. P.E., John Zink Co. LLC

Tagged Topics

Diversity

Tagged Divisions

Chemical Engineering

. 17, nos. 1-2, pp. 179-183, 1997.[18] A. Richardson, Verbalizer-visualizer: A cognitive style dimension, Journal of MentalImagery, vol. 1, pp. 109-126, 1977.[19] R. M. Felder and L. K. Silverman, Learning and Teaching Styles in Engineering Education,Engineering Education, vol. 78, no. 7, pp. 674-681, 1988.[20] B. A. Solomon and R.M. Felder. Index of Learning Styles Questionnaire, 1991. Online:http://www.engr.ncsu.edu/learningstyles/ilsweb.html. [Accessed August 16, 2013]. [21] S. M. Montgomery, Addressing diverse learning styles through the use of multimedia,Frontiers in Education Conference, Proceedings, November 1995, Atlanta, GA, pp. 3a2.13 -3a2.21, 1995.[22] R. E. Mayer and L.J. Massa, Three facets of visual and verbal learners: Cognitive

Conference Session

Virtual Instruction of Chemical Engineering Courses

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Olivia Reynolds, Washington State University; Kitana Kaiphanliam, Washington State University; Olufunso Oje; Aminul Islam Khan, Washington State University; Jacqueline Gartner Ph.D., Campbell University; Prashanta Dutta, Washington State University; Olusola Adesope, Washington State University; Bernard J. Van Wie, Washington State University; David B. Thiessen, Washington State University; Kristin Bryant, Washington State University

Tagged Divisions

Chemical Engineering

. References1. Freeman, S., et al., Active learning increases student performance in science, engineering, and mathematics | Council of Graduate Schools. Proceedings of the National Academy of Sciences, 2014. 111(23): p. 8410-8415.2. Prince, M., Does Active Learning Work? A Review of the Research. Journal of Engineering Education, 2004. 93(3): p. 223-231.3. Chi, M.T.H., Active-Constructive-Interactive: A Conceptual Framework for Differentiating Learning Activities. Topics in Cognitive Science, 2009. 1(1): p. 73-105.4. Menekse, M., et al., Differentiated Overt Learning Activities for Effective Instruction in Engineering Classrooms. Journal of Engineering Education. Journal of Engineering Education, 2013. 102(3): p. 346

Conference Session

Experiential Learning in Chemical Engineering

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

David R. Wagner, San Jose State University; Fanny Huang

Tagged Divisions

Chemical Engineering

lab was effective, the sample size shouldbe expanded to 30 or more to represent a more significant population and reduce error. Inaddition to evaluating more students, the user experience can be improved with additionalexperimental data and enhanced graphics with moving images or changing images. This wouldincrease engagement and visual association, which would be beneficial when the virtual lab isacting as a pre-lab to a physical unit operations lab. However, this preliminary study shows thatvirtual labs can effectively assist students in understanding fundamental fluidization theories. 9References[1] S. U. Rahman, N. M. Tukur, and I. A. Khan, “PC-Based Teaching Tools for Fluid Mechanics

Conference Session

Work in Progress: Hands-on Activities

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ilhem F. Hakem, Carnegie Mellon University; Richard Tang, Carnegie Mellon University; Michael R. Bockstaller, Carnegie Mellon University

Tagged Divisions

Chemical Engineering

elastic modulus. On a morefundamental level the elastic modulus is proportional to the change in free energy G ofdeformation. Hence, Young’s Modulus ~ (dG/dl) = (dH/dl) – T(dS/dl)where l denotes the length of the sample, T is the (absolute) temperature and H and S refer toenthalpy and entropy, respectively [5]. If Young’s modulus is determined by the cohesive energydensity of materials then the effect of entropic forces can be neglected and thus Young’s Modulus~ (dH/dl). Metals and ceramics are thus also called ‘enthalpy elastic’.Rubbers, defined as weakly crosslinked amorphous polymers above the glass transitiontemperature, defy this trend. Rubbers are an important class of polymer materials that are widelyused for their

Conference Session

Works in Progress in Chemical Engineering Education

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Carl F. Lund, University at Buffalo

Tagged Divisions

Chemical Engineering

homeworkwrappers.SummaryThis formative assessment of the use of homework wrappers focused upon completion andagreement rate (accuracy). The observed rates are both lower than hoped for, but the studysuggest ways that both the wrappers and their implementation might be improved.References[1] C. R. F. Lund, "Can Students Self-Generate Appropriately Targeted Feedback on Their OwnSolutions in a Problem-Solving Context," in ASEE Virtual Annual Conference, 2020: ASEE, p.17, doi: 10.18260/1-2--34256.[2] Ambrose, S. A. et al. How Learning Works: Seven Research-Based Principles for SmartTeaching. The Jossey-Bass Higher and Adult Education Series. 2010, San Francisco: Jossey-Bass. 199pp.

Conference Session

Work-In-Progress Postcard Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Mechteld Veltman Hillsley, Pennsylvania State University, University Park; Xueyi Zhang, Pennsylvania State University

Tagged Divisions

Chemical Engineering

engineering education, 95(2), 123-138. 8. Cooney, E., & Alfrey, K., & Owens, S. (2008, June), Critical Thinking In Engineering And Technology Education: A Review Paper presented at 2008 Annual Conference & Exposition, Pittsburgh, Pennsylvania. https://peer.asee.org/3684 9. Adair, D., & Jaeger, M. (2016). Incorporating critical thinking into an engineering undergraduate learning environment. International Journal of Higher Education, 5(2), 23.

Conference Session

Work-In-Progress Postcard Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kitana M Kaiphanliam, Washington State University; Olivia Reynolds, Washington State University; Jacqueline Gartner Ph.D., Campbell University; Olusola Adesope, Washington State University; Bernard J. Van Wie, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Chemical Engineering

Nozzle in Undergraduate Engineering Classes', Am. Soc. for Eng. Ed. Annual Conf. & Exposition 2015, Seattle, Washington, 14-17 June.11. Burgher J. K., D. Finkel, B. J. Van Wie, O. O. Adesope, S. Brown and J. W. Atkinson, 'New Hands-on Fluid Mechanics Cartridges and Pedagogical Assessment', Am. Soc. for Eng. Ed. Annual Conf. & Exposition 2013, Atlanta, Georgia, 23-26 June.12. University of Cambridge, Cognition and Brain Sciences Unit, “Rules of thumb on magnitude of effect sizes,” (2018),

Conference Session

Chemical Engineering Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Daniel D. Anastasio, Rose-Hulman Institute of Technology; Heather Chenette, Rose-Hulman Institute of Technology; Gregory T. Neumann, Rose-Hulman Institute of Technology; Tony Ribera, Rose-Hulman Institute of Technology

Tagged Divisions

Chemical Engineering

Sciences Education 14, no. 3, 2015[7] B. D. Jones, J. M. Watson, L. Rakes, and S. Akalin, “Factors that impact students’ motivation in an online course: Using the MUSIC Model of Academic Motivation,” Journal of Teaching and Learning with Technology, vol. 1, no. 1, pp. 42–58, 2012.[8] B. D. Jones and G. Skaggs, “Measuring Students’ Motivation: Validity Evidence for the MUSIC Model of Academic Motivation Inventory.,” International Journal for the Scholarship of Teaching and Learning, vol. 10, no. 1, p. n1, 2016.[9] W. C. Lee, C. Brozina, C. T. Amelink, and B. D. Jones, “Motivating Incoming Engineering Students with Diverse Backgrounds: Assessing a Summer Bridge Program’s Impact on Academic

Conference Session

E-Learning in Chemical Engineering

Collection

2009 Annual Conference & Exposition

Authors

Richard Zollars, Washington State University; Christopher Hundhausen, Washington State University; Pawan Agrawal, Washington State University

Tagged Divisions

Chemical Engineering

problem that we have found to be troublesome for introductory students:that of translating a written problem description into visual form. Page 14.571.9Bibliography1 R.M. Felder and L.K. Silverman, "Learning and Teaching Styles in Engineering Education," Engr. Education, 78(7), 674-681 (1988).2 D. Norman and S. Draper, User-centered system design, Lawrence Erlbaum Assoc., Mahwah, NJ, (1986). Page 14.571.10

Conference Session

E-Learning in Chemical Engineering

Collection

2009 Annual Conference & Exposition

Authors

David Silverstein, University of Kentucky

Tagged Divisions

Chemical Engineering

. Journal of  Engineering Education, 1998. 87(2). 11.  Heinrich, E., M. Bhattacharya, and R. Rayudu, Preparation for lifelong learning using ePortfolios.  European Journal of Engineering Education, 2007. 32(6): p. 653 663. 12.  Johnson, D., R. Johnson, and K. Smith, The State of Cooperative Learning in Postsecondary and  Professional Settings. Educational Psychology Review, 2007. 19(1): p. 15 29. 13.  Leifer, L., et al. (December 5, 2002) ITR Folio  Thinking, Executive Summary. 14.  Wheeler, S., P. Yeomans, and D. Wheeler, The good, the bad and the wiki: Evaluating student generated content for collaborative learning. British Journal of Educational Technology, 2008.  39(6): p. 987 995. 15.  Heys, J.J., Group

Conference Session

ChE: Curriculum Reform & Assessment

Collection

2006 Annual Conference & Exposition

Authors

Richard Turton, West Virginia University; Joseph Shaeiwitz, West Virginia University

Tagged Divisions

Chemical Engineering

elective(s) in unit operations could be Table 1: Suggested Traditional Chemical Engineering Curriculum Required Subjects Basic Sciences basic skills/freshman class math material and energy balances chemistry thermodynamics physics fluid mechanics biology heat transfer mass transfer/separations Possible Electives transport phenomena§ safety reaction engineering biochemical engineering control materials/polymers unit operations laboratory class(es

Conference Session

Work in Progress: Hands-on Activities

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Negar Beheshti Pour, University of California - Berkeley; David B. Thiessen, Washington State University; Bernard J. Van Wie, Washington State University; Kitana Kaiphanliam, Washington State University; Aminul Islam Khan, Washington State University; Prashanta Dutta, Washington State University; Olivia Reynolds, Washington State University; Katelyn Dahlke, University of Wisconsin - Madison; Olusola Adesope, Washington State University; Olufunso Oje, Washington State University; Jacqueline Gartner Ph.D., Campbell University

Tagged Divisions

Chemical Engineering

things: Simple experiments in the thermal and fluid sciences, in 2009 ASEE Annual Conference and Exposition Proceedings, Austin, Texas.7. Moor, S., and Piergiovanni, P., Experiments in the classroom: Examples of inductive learning with classroom friendly laboratory kits, in 2003 ASEE Annual Conference and Exposition Proceedings, Nashville, Tennessee.8. Connor, J., Goff, R., Assessment of providing in-class, hands-on, activities to Virginia Tech’s first year engineering students, in 2001 ASEE Annual Conference and Exposition Proceedings. Albuquerque, New Mexico.9. Garrison, L., Garrison, T., A demo every day: Bringing fluid mechanics to life, in 2015 ASEE Annual Conference and Exposition Proceedings, Seattle, Washington.10

Conference Session

Best Practices for Chemical Engineering Lab-Based Courses

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joshua A. Enszer, University of Delaware

Tagged Divisions

Chemical Engineering

standard levels. They recommend building these kinds of rubrics from the outside in– that is, for each criterion, describe the highest standard level, then the lowest standard level,and then fill in the middle level(s). They note that this kind of rubric becomes more difficult togenerate with the more levels one desires. Stevens and Levi also present what they call a“scoring guide rubric,” which focuses more on the criteria and presents only the description ofthe highest standard level. Exploration of the use of rubrics in chemical engineering has beenpresented previously. Newell et al. [3] suggest applying four standards levels, rather than three orfive, to avoid there being a middle or “neutral” option.MethodsDevelopment and Implementation of

Conference Session

Chemical Engineering Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Christopher J. Hershey, Michigan State University; K. (Jay) Jayaraman, Michigan State University

Tagged Divisions

Chemical Engineering

. Ueda and J. F. Davalos, J. Prof. Issues Eng. Educ. Pract., 129, 155 (2003).3. W. Hall and S. Palmer, J. Mat. Educ., 37, 155 (2015).4. Polymer Properties Test Report (Polypropylene, sample report), C-Mold/AC Technology Polymer Laboratories, (1995).5. P. H. Foss, H. C. Tseng, J. Snawerdt, Y. J. Change, W. H. Yang and C. H. Hsu, Polym. Compos., 35, 671 (2014).

Conference Session

Chemical Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Xuesong Li P.E., Washington State University; Bernard J. Van Wie, Washington State University

Tagged Divisions

Chemical Engineering

on learner motivation, metacognition, and knowledge transfer. Journal of Computer Assisted Learning, 2012. 28(5): p. 477-487.8. Brown, S.E., A ; Montfort, D ; Adam, J ; Van Wie, B ; Olusola, A ; Poor, C ; Tobin, C ; Flatt, A, Effectiveness of an Interactive Learning Environment Utilizing a Physical Model. Journal Of Professional Issues In Engineering Education And Practice, 2014. 140(3).9. Easley, A.P.-W., The effectiveness of a hands-on desktop module for learning open channel flow concepts, in Department of Civil and Environmental Engineering, 2012, Washington State University.10. Abdul, B., Van Wie, B. J., Babauta, J. T., Golter, P. B., Brown, G. R., Bako, R. B., Ahmed, A. S., Shide, E. G., Anafi

Conference Session

Introductory Experiences in Chemical Engineering

Collection

2015 ASEE Annual Conference & Exposition

Authors

Noelle K Comolli, Villanova University

Tagged Divisions

Chemical Engineering

learned the most from. The statistics lab was more of an “experience” than a lab, and was done using jellybeans rather than a chocolate product (so that all the students could eat the candy at theend and avoid food allergy issues). After a lesson on population statistics and some Excelbasics (focused on statistics and graphing), each team was provided a bag of jelly beansfrom the same company. Teams were to compare their number of each type (flavor) ofjelly bean to the total number as well as the results for all of the teams in the class. Asurvey of the student’s favorite flavor was also done to compare to see if the mostpopular flavor (s) were the most prevalent in the population. While the “lab” was simple,and many of the students were aware

Conference Session

Instructional and Learning Assessment in Chemical Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University

Tagged Divisions

Chemical Engineering

Fundamentals Concept Inventory (CEFCI). Education for Chemical Engineers 7, e32-e40 (2012).3 Felder, R. M. & Spurlin, J. Applications, Reliability and Validity of the Index of Learning Styles. Int. J. Engng Ed 21, 103-112 (2005).4 Litzinger, T. A., Lee, S. H., Wise, J. C. & Felder, R. M. A Psychometric Study of the Index of Learning Styles©. Journal of Engineering Education 96, 309-319, doi:10.1002/j.2168-9830.2007.tb00941.x (2007).5 Soloman, B. A. & Felder, R. M. Index of Learning Styles Questionnaire.

Conference Session

Chemical Engineering Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paul B. Golter, Washington State University; Olusola Adesope, Washington State University; Bernard J. Van Wie, Washington State University

Tagged Divisions

Chemical Engineering

authors wish to acknowledge support from the National Science Foundation through GrantsDUE-1023121, DUE-14324674 and DUE-1546979. We further acknowledge graduate studentsA.N., who developed the graphs used in the survey, and J.K.B., who developed the interviewprotocol being adapted.References:1. Brown, S., et al., Effectiveness of an interactive learning environment utilizing a physical model. Journal of Professional Issues in Engineering Education and Pracice, 2014. 140(3).2. Burgher, J.K., et al. Comparing misconceptions in fluid mechanics using interview analysis pre and post hands-on learning module treatment. in Annual Conference of the American Society for Engineering Education 2014. Indianapolis, IN.3

Conference Session

Best Practices for Chemical Engineering Lab-Based Courses

Collection

2019 ASEE Annual Conference & Exposition

Authors

Andrew Maxson, Ohio State University

Tagged Divisions

Chemical Engineering

Engineering Education, 2(1):n1, 2010.[3] Vivek SinghBaghel and S Durga Bhavani. Multiple team formation using an evolutionary approach. In 2018 Eleventh International Conference on Contemporary Computing (IC3), pages 1–6. IEEE, 2018.[4] Anon Sukstrienwong. Genetic algorithm for forming student groups based on heterogeneous grouping. In 3rd European Conference of Computer Science (ECCS’12), pages 92–97, 2012.[5] Virginia Yannibelli and Anal´ıa Amandi. Collaborative learning team formation considering team roles: An evolutionary approach based on adaptive crossover, mutation and simulated annealing. Research in Computing Science, 147(4):61–74, 2018.

Conference Session

Work in Progress: Hands-on Activities

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Katelyn Dahlke, Washington State University; Bernard J. Van Wie, Washington State University; Jacqueline Gartner Ph.D., Campbell University; Olusola Adesope, Washington State University; Prashanta Dutta, Washington State University; David B. Thiessen, Washington State University

Tagged Divisions

Chemical Engineering

models in the fluid mechanics classroom." International Journal ofEngineering Education 32.6 (2016): 2501-2516.[5] Krathwohl, David R., and Lorin W. Anderson. A taxonomy for learning, teaching, andassessing: A revision of Bloom's taxonomy of educational objectives. Longman, 2009.[6] Hazen, Benjamin T., Yun Wu, and Chetan S. Sankar. "Factors that influence dissemination inengineering education." IEEE Transactions on Education 55.3 (2012): 384-393.

Conference Session

ChE: Innovations in Student Learning

Collection

2007 Annual Conference & Exposition

Authors

Paul Golter, Washington State University; Bernard Van Wie, Washginton State University; Gary Brown, Washington State University

Tagged Divisions

Chemical Engineering

they will lead theirrespective home teams through. Each core concept also has a hands-on module that allows forexperimentation and illustration. After the jigsawgroups have developed their teaching modules, thehome teams rotate through the core concepts. As allof this is going on the professor and TA(s) coach thegroups, spending time listening, asking guidingquestions, and correcting misconceptions. After this,the home teams have a design project thatincorporates all of the concepts covered.The hands on modules are small scale apparatusmounted on wheeled stands along with a whiteboard.The resulting unit is roughly six feet tall and four feetwide. Even though the modules are largely selfcontained and require minimal hookups, electricity