(2007) to an engineering problem frame of reference and the physical posed to them (the Midwest location codes, with kappa values of .748 Floods problem). and .746 respectively.”Kong, Douglas, In the “qualitative study of “The kappa values were found to be 100%Rodgers, Diefes- student team projects,” the for the definition category, 93% for theDux, & research team used constant evaluation category, and 84% for theMadhavan (2017) comparative analysis to comparison category.” analyze student work products, specifically their
engineering, particularly for ill-defined engineering problems where thebeginning of the modeling process requires an engineer to make assumptions (e.g. modeling anoddly-shaped beam as a prismatic rectangle) and discretize elements (e.g. modeling theindividual forces of people on a bridge as a distributed load over the entire span) to simplify theproblem. Making assumptions and discretizing elements are part of engineering judgment [1].Engineering judgment is defined as “judgment to make a final call on the reasonableness of theanalysis or design” (p.287, [1]). In practice, engineering judgment can be equated to expertise,which is developed as an engineer spends more time in the profession.This study is part of a larger project studying students
asynchronous online learningenvironments encouraged mixed (i.e. higher and lower) performer collaboration [17]. Casqueroet al. [17] suggested that course environments mediate these relationships between studentinteractions and performance. Although researchers [18] have found that student onlineinteractions correlate positively to student course performance in a small (40 students,) f2f,project-based, engineering course, a need exists to understand the potentially uniquerelationships that exist between student interactions and student performance in the context oflarge, f2f engineering courses.Interaction Types and FrequencyAmong small groups of engineering students, Zhu and Zhang [19] found that network densitywas positively correlated to team
Butt is a doctoral student at the School of Engineering Education, Purdue University. He is currently working as a research assistant on the CourseMIRROR project funded by the Institute of Education Sciences (IES). He is interested in designing educational tools and exploring their impact on enhancing students’ learning experiences. Before Purdue University, Ahmed has worked as a lecturer for two years at the University of Lahore, Pakistan. Additionally, he has been associated with the software industry in various capacities, from developer to consultant. c American Society for Engineering Education, 2020 Perceived Motivational Constructs and Engineering Students' Academic
., vol. 61, no. August, pp. 98–111, 2017.[21] K. Yelamarthi, “A Scholarship Model for Student Recruitment and Retention in STEM Disciplines IoT Modular Architecture View project,” 2010.[22] J. L. Elizabeth Shin, S. R. Levy, and B. London, “Effects of role model exposure on STEM and non-STEM student engagement,” Inc J. Appl. Soc. Psychol., vol. 46, pp. 410– 427, 2012.[23] S. Steingass, S Jon; Sykes, “Centralizing Advising to Improve Student Outcomes - ProQuest,” Peer Rev., vol. 10, no. 1, pp. 18–20, 2008.[24] S. D. Museus and J. N. Ravello, “Characteristics of Academic Advising That Contribute to Racial and Ethnic Minority Student Success at Predominantly White Institutions,” NACADA J., vol. 30
classification.Alexandria Benedict, University of North Carolina at Charlotte Alexandria Benedict is an undergraduate student at the University of North Carolina at Charlotte pursuing her Bachelor of Science in Computer Science. She is a recipient of the STARS Scholarship, and is a research assistant under the RPP STEM Ecosystem Project which helps study the effects of computational thinking inside classrooms. Furthermore, she has been a teaching assistant under Dr. Mohsen Dorodchi for the Introductory Computer Science course at UNCC for the past 2 years. c American Society for Engineering Education, 2020 Scaffolding a Team-based Active Learning Course to Engage Students: A
isrequired from the students during the activities. This section has four subscales, described asfollows:1. Interactive instruction: An activity must involve the collective construction of knowledge; students' interactions create that construction. The items for this subscale include group activities performed during class, such as solving problems, hands-on activities, and group discussions; or outside the classroom, such as completing homework, working on a project, and studying outside of class.2. Constructive instruction: Promotes behaviors in "which learners generate or produce additional externalized outputs or products beyond what was provided in the learning material" [15]. Constructive activities include activities such as
learning activities interact with other influencessurrounding the curriculum to influence and form student competence in a complex fashion28.4.1 Contextual model of Accidental Competency formationOn the basis of the early data reported in Walther and Radcliffe15 a contextual model ofAccidental Competency formation was developed. Formal Assessment Curriculum 2. O ele men Exams Research projects
[cited; Available from: http://www.qsrinternational.com/products/productoverview/N6.htm.33. Russell, M., A. Goldberg, and K. O'Connor, Computer-based testing and validity: a look back into the future. Assessment in Education, 2003. 10(3): p. 279-293.34. Kruhlak, R., et al. Online Practice and Assessment in First Year Physics. in Canadian Association of Physicists Congress. 2005. Vancouver, Canada.35. Gordijn, J. and W. Nijhof, Effects of complex feedback on computer-assisted modular instruction. Computers and Education, 2002. 39(2): p. 183-200.36. Chen, P.M., An automated feedback system for computer organization projects. IEEE Transactions on Education, 2004. 47(2): p. 232-240
contacted at tal2@psu.edu.Mark Wharton, Pennsylvania State University Mark J. Wharton is an Assistant Professor of Electrical Engineering at Penn State. He teaches undergraduate courses in Electronics Electronics I, II, and III) and Senior Project Design, the EE capstone design course. He received his B.S. in Electrical Engineering from Penn State and his M.S. from the University of Colorado in Boulder. Prior to working at Penn State, Mark spent over Page 13.690.1 30 years in industry as an Electronic Design Engineer. He can be contacted by phone at 814-865-2091 or by email at MarkWharton@psu.edu.John
2006-2042: REPRESENTATION ISSUES IN ENGINEERING EDUCATION:ENGINEERING ISSUES AND PARALLELS FROM THE VISUAL &PERFORMING ARTSWilliam Lee, University of South Florida Bill Lee is a Professor of Chemical Engineering with a significant interest in the practical and philosophical aspects of the educational process. He currently has several projects with faculty in the Visual and Performing Arts, exploring issues in the educational process, problem solving, and creativity.Mernet Larson, University of South Florida Mernet Larson is a Professor of Art History who has written and taught in the areas of art history, art theory, art criticism, and educational aspects of art. She is also a professional
for accrediting programs in engineering. Baltimore, MA: ABET, Inc.12. Wiggins, G. (1998). Educative Assessment: Designing Assessment to Inform and Improve Student Performance. San Francisco: Jossey-Bass.13. Moore, T. and Diefes, H.A., “Developing Model-Eliciting Activities for Undergraduate Students Based on Advanced Engineering Content,” Frontiers in Education Conference, Savannah, GA., 2004.14. Zawojewski, J., Lesh, R., and English, L., “A Models and Modeling Perspective on the Role of Small Group Learning Activities,” Beyond Constructivism: Models and Modeling Perspectives on Mathematics Problem Solving, Learning, and Teaching, Mahwah, NJ: Lawrence Erlbaum, 2003.15. Smith, K. A., Teamwork and Project Management, New York
right direction by not justbeing a constructivist facilitator but also by providing the necessary support to develop therequired skills8,9 needed to work in a team, solve problems and manage time. Therefore, thelecturer actually plays a very important role in shaping students' perceptions of the learningapproach that in turn will deeply impact their learning10. As Woods11 stated that it may not be thefault of the teaching method but the way it is introduced to the students which causes students todevelop the negative perception.ACKNOWLEDGEMENTThe project is funded by the Centre for Teaching and Learning (CTL), Universiti TeknologiMalaysia under the Instructional Development Grant (IDG).REFERENCES1. Khairiyah Mohd-Yusof, Syed Helmi Syed Hassan
scheduled days. The courses selected for the study at the institution areidentified as i) a freshman design class teaching computer-aided design, ii) a sophomoreintroductory circuits laboratory, iii) a junior design class in controls and electronics, and iv) asenior capstone project class.On the day of the module delivery, the case study was first introduced to students through a shortpresentation by the instructor assigned to this role during which the one-page case study wasread aloud. It is also suggested to include a brief, relevant video clip of a key interview or newssegment on the subject to supplement the text. Whenever possible, contrasting viewpoints bydifferent stakeholders can also be expressed through the selection of video clips to
systematic analysis that leverages thereflection framework introduced earlier. Specifically, we noted that reflection on experience canbe framed as an intentional and dialectical thinking process where an individual revisits featuresof an experience with which he/she is aware and uses one or more lenses in order to assignmeaning(s) to the experience that can guide future action (and thus future experience).Experiences: Since reflection on experience clearly involves experience, a useful area ofinvestigation is to consider the range of experiences that students currently have. It is natural tobe drawn to thinking about student experiences such as large-scale projects, co-op opportunities,and internship opportunities. What is possible to overlook is
for the TESS (N = 153) Rotated Factor Loadings 1 2 3 4 5 6Engineering Pedagogical Content Knowledge Self-efficacy 1 I can explain the different aspects of the engineering design process. 1.059* 2 I can discuss how given criteria affect the outcome of an engineering 1.028* design project. 3 I can explain engineering concepts well enough to be effective in teaching 0.996 engineering. 4 I can assess my students' engineering design products. 0.974 5 I know how to teach engineering concepts effectively. 0.939 6
Education. 37. Lawanto, O. and S. Johnson. Students' cognitive self‐appraisal, self‐management, and the level of difficulty of an engineering design project: Are they related? in 2009 ASEE Annual Conference and Exposition, June 14, 2009 ‐ June 17, 2009. 2009. Austin, TX, United states: American Society for Engineering Education. 38. Harper, B. and P. Terenzini. The effects of instructors' time in industry on students' co‐curricular experiences. in 2008 ASEE Annual Conference and Exposition, June 22, 2008 ‐ June 24, 2008. 2008. Pittsburg, PA, United states: American Society for Engineering Education. 39. Strayhorn, T. Measuring the educational benefits of diversity in STEM education: A multi
. a commitment to quality, timeliness, and Nonecontinuous improvementl. the knowledge to manage change and improve Noneproductivitym. an ability to use the concepts learned in 9. Learning how to find and use resources forfundamental communication courses and possess answering questions or solving problemsmore developed skills in research and writing in a 11. Learning to analyze and critically evaluate ideas, arguments, anddiscipline specific context. points of viewn. the ability to apply project management techniques Noneo. the ability to use appropriate engineering tools in Nonethe building, testing, operation, and maintenance
view as the reasons toattend (or not attend) graduate school, when and where they might attend and what type ofgraduate degree they consider pursuing. The final section asks a single open ended question thatprobes any other thoughts, opinions, or information students have about their decision making Page 22.1565.6process.Four versions of the same survey were developed with appropriate differences in wording. Toensure content validity, the instrument was reviewed by student participants in the ethnographicobservations, and then reviewed by several members of the project advisory board from theparticipating institutions. These reviews helped
funded projects are focused on retention, it becomes clear that the commonapproach of tracking a first-matriculator cohort does not fully represent the situation, as it countsthose who leave the cohort, but completely ignores those who enter later, or leave and return.How Do Engineering Colleges Define Retention?The authors conducted a cursory and unscientific survey of a number of Associate Deans withwhom they had prior professional contact, both to see how they replied to retention percentagequestion, and to identify any other circumstances that may be missing from the enumerationabove. Of theten respondents, six clearly focused only on the incoming freshmen cohort,essentially relying on the NCES standard calculations for retention and
is a tablet-based tutoring system usedto teach Kirchhoff’s Law. It also interprets a student’s handwritten work and providestutorial feedback in response to errors. The pencast tutorials we consider differ from thesesystems in that pencasts present prerecorded tutorial information, while these systems areinteractive and provide feedback in response to student work.Our work is most similar to research on the use of multimedia for instruction. Lieu12included an interactive multimedia CD as a supplement to the conventional course textbook for an Engineering Graphics course. The contents of this CD helped studentsvisualize graphical concepts covered in the class such as orthogonal projection. The CDpresented concepts using a mixture of animation
AC 2011-1963: EDUCATING BROAD THINKERS: A QUANTITATIVE ANAL-YSIS OF CURRICULAR AND PEDAGOGICAL TECHNIQUES USED TOPROMOTE INTERDISCIPLINARY SKILLSDavid B. Knight, Pennsylvania State University, University Park David Knight is a PhD candidate in the Higher Education Program at Pennsylvania State University and is a graduate research assistant on two NSF-funded engineering education projects. His research interests include STEM education, interdisciplinary teaching and research, organizational issues in higher education, and leadership and administration in higher education. Email: dbk144@psu.edu Page 22.519.1
affirmingtransaction beliefs sets a high benchmark for engineering undergraduates. The success ofinterventions to boost metacognitive processing22 and critical thinking24 indicate that facilitatingand supporting deliberate growth in these factors is a viable possibility for curricular change thatwould yield positive benefits. Overall these and related findings provide support for ongoinginitiatives to include more design projects, problem-based learning, cooperative education (co-op) experiences, and professional internships in engineering programs in order to continue todevelop students‟ abilities to analyze, interpret, critique, and respond personally to information,particularly in the context of ambiguity and the ill-defined problems that
use COMSOL Multiphysics® to developmodules to help students connect high-level mass, momentum, and energy balances withthe underlying physical phenomenon at the continuum scale. These modules are part of alarger project of Desktop Experiment Modules (DEMos) that enable students toexperiment to deduce cause / effect in a demonstration tool. We focus on microfluidicsand fuel cells because few examples exist in the chemical engineering literature in thisarea. These modules were implemented in chemical engineering in a special microdevicecourse for undergraduate upper-classmen and beginning graduate students, a senior levelelective course on Computational Methods, and a junior-level transport / unit operationscourse.Introduction and Motivation
assignment, laboratories, and, often, group projects. Adding to the confusion,engineering faculty do not always understand how the common forms of “active learning” differfrom each other and most are not inclined to search for answers Of the most known and utilizedclassroom-based pedagogies in engineering education today, and appear to be moving in thesame broad direction, are: problem-based learning, cooperative learning, and collaborativelearning 2. Page 15.919.2Problem-based learning (PBL) starts when students are confronted with an open-ended, ill-structured, real-world problem and work in teams to identify learning needs and develop a
of online textbooks affect student learning outcomes? We examined these questions by implementing online textbooks in three undergraduateengineering courses: IME 421 Manufacturing Organizations, ME 302 Introduction toThermodynamics, and ME 422 Mechanical Controls. The following are course descriptionsfrom the university course catalog:IME 421 Manufacturing Organizations (3 units)Theory and principles for manufacturing organizations. Competitive advantage. Strategicplanning and operations management for organizations and teams in a rapidly changingenvironment. Engineering management concepts and practices. Team-based projects and cases.ME 302 Introduction to Thermodynamics (3 units)Properties of working fluids and fundamental
material with the students.(2)There are several strands of pedagogies of engagement under the umbrella of active learningmethods that have received attention by engineering educators world-wide. (2, 3) For many Page 24.949.2faculty, there remain questions about what “active learning” is and how it differs from traditionalengineering education, since the latter involves activities through homework assignment,laboratories, and, often, group projects. Adding to the confusion, engineering faculty do notalways understand how the common forms of “active learning” differ from each other and mostare not inclined to search for answers. Of the most known and
Impact of Model Eliciting Activities on Development of Critical Thinking,” presented at the Proceedings of the Canadian Engineering Education Association, Montreal, 2013, pp. 1–7.17. C. L. Frisby, “Construct Validity and Psychometric Properties of the Cornell Critical Thinking Test (Level Z): a Contrasted Groups Analysis,” Psychological Reports, 1992.18. R. Benjamin and M. Chun, “A New Field of Dreams: The Collegiate Learning Assessment Project.,” Peer Review, vol. 5, no. 4, pp. 26–29, 2003.19. R. H. Ennis, J. Millman, and T. N. Tomko, “Cornell Critical Thinking Tests Level X & Level Z: Manual,” 1985.20. R. H. Ennis, “Critical thinking assessment,” Theory into practice, 1993.21. P. C. Abrami, R. M
alternatives to prevalent educationalpractices. For example, a variety of educational approaches were presented in the plenarysession of the 2011 ASEE annual conference. Examples of some of the approaches presentedincluded active learning, formative assessment as a strategy to support learning, and problem-based learning. Each description of an approach included a summary of research-based evidenceon specific educational impacts. The National Science Foundation, which funds projects forimproving STEM education through its Course, Curriculum and Laboratory Improvement(CCLI) and Transforming Undergraduate Education in STEM (TUES) programs, has sponsoredforums in which panels of practitioners and scholars were commissioned to investigate the issueof