Paper ID #32131Best 2019 Zone III Paper : Blended Learning: Electrical Circuits fornon-EE studentsDr. Amardeep Kaur, Missouri University of Science and Technology Amardeep Kaur is an Assistant Teaching Professor in the department of Electrical and Computer Engi- neering at Missouri University of Science and Technology. She teaches sophomore courses introducing digital design and electronic devices. She is a member of ASEE, IEEE and SWE. Her interests are engi- neering education and semiconductor physics.Dr. Theresa Mae Swift, Missouri University of Science and Technology c American Society for
Paper ID #32133Best Overall 2019 PIC Paper Winner & PIC II - Assessment of ProjectBased Learning Courses Using Crowd SignalsMr. Georgios Georgalis, Purdue University at West Lafayette Georgios is currently a Ph.D. candidate in the School of Aeronautics and Astronautics at Purdue Univer- sity and has completed his undergraduate degree at the National Technical University of Athens (NTUA). His research concentrates on a new approach to project risk assessment that is human-centric and allows for prediction of upcoming failures, which gives practitioners the opportunity to prevent them.Dr. Karen Marais, Purdue University at
the computational modeling of mechanics of materials, especially failure processes such as fracture and plasticity in semicrystalline polymers. c American Society for Engineering Education, 2019 Effects of Alternative Course Design and Instructional Methods in the Engineering ClassroomThis work-in-progress paper reports on the effects of alternative course design and instructionalmethods in the engineering classroom. The primary method of delivery in undergraduateengineering classrooms remains the traditional lecture format, or teacher-centered instruction,despite evidence that active learning, or student-centered teaching practices, are significantlymore effective
education: A survey of the research." InteractiveCollaborative Learning (ICL), 2015 International Conference on. IEEE, 2015.[4] Mealy, Bryan. “A single-course approach to computer design and assembly language programming”, ”,Proceedings of the 2016 American Society for Engineering Education (ASEE) Zone IV Conference[5] Nwokeji, Joshua C., and Terry S. Holmes. "The impact of learning styles on student performance in flippedpedagogy." 2017 IEEE Frontiers in Education Conference (FIE). IEEE, 2017.[6] Pratheesh, N., and T. Devi. "Assessment of student's learning style and engagement in traditional based softwareengineering education." Intelligent Interactive Systems and Assistive Technologies (IISAT), 2013 InternationalConference on. IEEE, 2013[7
will normally agree that ethics are importantand can select the correct answer for simple ESI questions. But what do engineering andcomputing students quickly draw to mind in relation to ESI? To explore this, students were askedto respond to two open-ended survey questions: (1) How do you view your role in society as anengineer or computer scientist? (2) List the ethical issues that you think are relevant to engineersand/or computer scientists. It was of interest to determine if student responses would vary fromthe beginning to the end of a term or across 15 settings where instructors had integrated contentand learning goals pertaining to ESI (ranging from first-year introductory courses to coursesfully focused on ethics at different
Figure 2.Another theme of the TRCV are questions that assess students’ ability to interpret geometryinformation in typical 3D problem figures (pictorial representation) and express that informationin formal vector notation (symbolic representation). Others have noted the interpretation of 3Dfigures as a common point of difficulty in statics [23]. Figure 4 illustrates our approach withitem 9 that instructs the student to read a position vector from a 3D figure. This skill is logicallyimportant to students’ ability to learn effectively from 3D figures illustrating inherently 3Dstatics concepts (e.g. how the cross product is used to compute a moment) and to solve 3D staticsproblems in general. Figure 4. Example 3D figure interpretation
Kuechler(2005) argue that while some multiple-choice questions do test only superficial knowledge,questions can be designed such that they target different levels of student learning andunderstanding. While multiple-choice exams are a logical way for a large number of exams to beimplemented and graded, it is difficult for instructors to design multiple-choice questions thattarget concepts requiring a deeper level of understanding, as opposed to strictly rememberingfacts. This challenge suggests the need for validating multiple-choice exams that claim to targetthese complex concepts. One way to potentially validate an instructor-created multiple-choiceexam is through an external measurement from an exam or assessment that has already beenvalidated
used in a specific classby a specific instructor. What was the instructor’s general philosophy and approach to includingindustry-based learning in the course? What did that integration look like within the context ofthe class being taught? And how might that approach be different for a course with differentcontent or at a different level in the curriculum?Classroom observations were conducted during the same time frame as the interviews. Fiveclasses were observed: Statics, Thermodynamics, Fluid Mechanics, Computational Methods, andSystem Dynamics. Those courses were selected in order to get a broad cross section of thecurriculum. They were also selected based on recommendations from students and alumni offaculty who they felt did a
retention in our engineering program over time. 2018 ASEE Mid-Atlantic Fall Conference, October 26-27, 2018 – Brooklyn Technical High SchoolReferences1. S. Sorby, “Educational Research in Developing 3-D Spatial Skills for Engineering Students,” International Journal of Science Education, vol. 31, no. 3, 2009, pp. 459-480.2. Norman, K.L., Spatial visualization – A gateway to computer-based technology. Journal of Special Educational Technology, XII(3), 1994, pp. 195–206.3. Smith, I.M., Spatial ability - Its educational and social significance. London: University of London, 1964.4. J. Wai, D. Lubinski, and C. P. Benbow, “Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its