percentage of A, A- and B grades, whilethe pre-OER group received a higher percentage of B-, C+, C, C- and D grades. Figure 3: Grade distribution percentages for pre-OER and post-OER groupsBefore beginning statistical comparisons, a few observations regarding the composition of thepre-OER and post-OER student groups needs to be made. First, all the students in the studywere taught by the same instructor using the same instructional methods (except for the OERinitiated changes in the post-OER group) and the same grading methods. Final course gradeswere assigned based on guaranteed grade thresholds (total score > 90% guarantees an A grade,total score > 80% guarantees a B grade, etc.) and natural breaks in student scores; no curvingwas
A thematic analysis of students’ perspectives and opinions on the construction of exam support sheets Shant A. Danielian, Vikram R. Arun, Natascha T. BuswellAbstractWith large amounts content and material taught by university professors and instructors, studentsface difficulty in trying to memorize course content in order to perform well on exams. Toresolve this issue, professors often allow students to create and use support sheets, also known ascheat sheets or crib sheets, which contain useful information to aid them during an exam. Thiseases the burden of rote memorization and might reduce student stress or anxiety during theexam.The creation of the support sheet lies in the hands of the
classes at localschools.AcknowledgmentsThanks to Foaad Khosmood for the suggestion of the googly eyes.Bibliography 1. A. Denker, A. Dilek, B. Sarıoğlu, J. Savaş, Y. Gökdel, "RoboSantral: An Autonomous Mobile Guide Robot," IEEE International Conference on Industrial Technology (ICIT), Seville, pp. 459-463, 2015 2. E. Saad, M. Neerincx, K. Hindriks, “Welcoming Robot Behaviors for Drawing Attention”, International Conference on Human-Robot Interaction, 2019 3. L. Ni, C. Schaefer, T. Buntin, “A Robotic Tour Guide Using a NAO T14 Humanoid with a Wheeled Mobile Platform”, 2nd International Conference on Robotics and Automation Engineering (ICRAE), 2017 4. S. Wang, H. Christensen, “TritonBot: First Lessons
Paper ID #31809Full Paper: [Fostering Entrepreneurship Through Targeted Adversity: ASenior Design Case Study]Mr. Nicholas Hosein, UC Davis Nicholas is a PhD candidate at the University of California Davis with a background in computer ar- chitecture, algorithms and machine learning. His current focus is advancing the electrical engineering curriculum at UC Davis to be more industry relevant in terms of skill sets taught.Prof. Lee Michael Martin, University of California, Davis Lee Martin studies people’s efforts to enhance their own learning environments, with a particular focus on mathematical, engineering, and design
A Learn-by-Doing Approach in Teaching Introduction to the Internet of ThingsIntroduction The Internet of Things (IoT) is made up of devices connected to the Internet, gatheringand sharing data through sensors, actuators, and microcontrollers. There are many areas of IoTapplications such as smart buildings, smart grid, smart transportation, smart manufacturing, e-healthcare, and many other. A new forecast from International Data Corporation (IDC) estimatesthat there will be 41.6 billion connected IoT devices in 20251. The development of IoTapplications requires knowledge and skills in various engineering fields such as embeddedsystems, sensor technologies, electronics, and computer
Full Paper: The Biola Uno Project; A cost-friendly and Experience-enriching Learning Module for Introductory Embedded SystemsAbstract:The purpose of the Biola Uno Project is to provide an engineering curriculum that bridges analogand digital circuits courses for pre-engineering students. In the engineering coursework, digitalcircuits and embedded systems are highly valuable subjects for many students and apply tofuture classes such as mechatronics or introductory robotics. In embedded system courses,students may usually assume a “black box” and make technical assumptions of an overall circuitdesign. Typical digital circuit courses fail to cover material that deals with the actual build of themicrocontroller, which is a
output. Several individual components were added to the project to evaluateindividual learning for all team members. Table 1 shows each milestone with the alignedassessment indicator and the grade distribution. The deliverables grades were used as theevaluation metrics for the corresponding outcomes to ease the assessment process. Milestone 1,2, 3 (a, b), and 4(a) were used to evaluate SLO (5), and Milestone 3 (c) was used to assess SLO(3).Table 2: Final Project Milestones Deliverables Milestone Assessment Indicator Grade Distribution Milestone 1: Provide leadership 10
flatsurfaces and limited applicability to components used in structural engineering which havegreater detail in their connections and cross-sectional shapes.Few studies were found in the literature addressing visualization skills specific to structural steelcomponents. A paper, by Meyer, et. al, suggests using physical models as a means to illustratesteel design concepts to students. The paper describes various ways of communicating steelmember behavior through physical models, yet the effect on student performance was notassessed8. (a) Physical and CAD models utilized in a first-year (b) Typical MRT6 and DAT:SR7 test questions for program in a remedial course5 assessing spatial ability4
Average Change: +1.4% +15.5% +8.7% +7.8% Change from Best Previous -1.2% +10.6% +3.6% +2.8% Table 2: Various grade score and grade statistics.Figure 1(a) shows the grade distribution of the current approach. Figure 1(b) shows thepercentage of students who took and who counted each possible total number of quizzes (out of10 offered). This figure shows that over 80% of students took all quizzes, and over 90% ofstudents took at least eight quizzes. Normalized Grade Distribution % Students Taking & Counting Quizzes 25
graduation. These relate to the knowledge, skills, and behaviors that students acquire asthey progress through the program.”2,3 Through the 2018-2019 cycle, ABET CAC had thefollowing student outcomes for computing programs:Table 1 ABET CAC Criterion 3, Student Outcomes, 2018-2019The program must enable students to attain, by the time of graduation …(a) An ability to apply knowledge of computing and mathematics appropriate to the program’s student outcomes and to the discipline.(b) An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution.(c) An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.(d) An ability to
impact on engineering education. Eur. J. Eng. Educ. 37, 125–132 (2012).6. Ennis, R. H. A Logical Basis for Measuring Critical Thinking Skills. Educ. Leadersh. 43, 44–48 (1985).7. Facione, P. A. Critical Thinking: What It Is and Why It Counts. Crit. Think. 33 (1992).8. Paul, R. & Elder, L. Critical thinking: Tools for taking charge of your learning and your life. (Prentice Hall,2001).9. McKenna, A. F. Adaptive Expertise and Knowledge Fluency in Design and Innovation. in CambridgeHandbook of Engineering Education Research (eds. Johri, A. & Olds, B. M.) 227–242 (Cambridge UniversityPress, 2013).10. Felder, R. M. On Creating Creative Engineers. Eng. Educ. 77, 222–227 (1987).11. Lunt, B. M. & Helps, C. R. G. Problem solving in engineering
D 0 C 8 C 1 B 7 B 3 A 12 A 10 0 5 10 15 0 5 10 Number of Students
. Journal of Engineering Education, 92(1), 49–56.Miles, M. B., Huberman, A. M., & Saldaña, J. (2013). Qualitative data analysis: A methods sourcebook. SAGE Publications, Incorporated.Nelson, B. A., Wilson, J. O., Rosen, D., & Yen, J. (2009). Refined metrics for measuring ideation effectiveness. Design Studies, 30(6), 737–743.Niler, A. A., Asencio, R., & DeChurch, L. A. (2019). Solidarity in STEM: How Gender Composition Affects Women’s Experience in Work Teams. Sex Roles, 1–13.Pahl, G., Beitz, W., Feldhusen, J., & Grote, K.-H. (2007). Engineering design: a systematic approach (Vol. 157). Springer Science & Business Media.Secules, S. (2019). Making the Familiar Strange: An Ethnographic Scholarship of
satisfaction withdesign-focused laboratories which they see as more intellectually challenging than traditional “cook-book” laboratories.References:[1] L. D. Feisel and A. J. Rosa, “The role of the laboratory in undergraduate engineering education” Journal of engineering education, vol. 94, no. 1, pp. 121–130, 2005.[2] D. B. Luckie, J. R. Aubry, B. J. Marengo, A. M. Rivkin, L. A. Foos, and J. J. Maleszewski, “Less teaching, more learning: 10-yr study supports increasing student learning through less coverage and more inquiry” Adv Physiol Educ, vol. 36, pp. 325–335, 2012.[3] J. R. V. Flora, “Asking students to design their own laboratory experiments” presented at the American Society of Engineering Education Annual Conference, St. Louis, MO
with others about this. • Is this continuum helpful for conversations or interventions? • Are the categories described in a way that creates a defense (is that bad)? • Are these categories, steps, or orientations (I have used these interchangeably)? • Do I have the necessary disciplinary background to develop this (who should help me)? • How does this relate to engineering and engineering education? References [1] Fortney, B.S., Morrison, D., Rodriguez, A.J. Upadhvav, B. (2019) “Equity in science teacher education: towardan expanded definition” Cultural Studies of Science Education 14: 259. https://doi.org/10.1007/s11422-019-09943-w[2] Ridgeway, M. L., (2019) “Against the grain: science education researchers and social
College Graduates with Degrees in Science, Technology, Engineering, and Mathematics, Executive Office of the President. [2] Higher Education Research Institute at UCLA (2010). Degrees of Success: Bachelor’s Degree Completion Rates Among Initial STEM Majors, HERI Report Brief. [3] National Academy of Sciences and National Academy of Engineering and Institute of Medicine (2011). Expanding Underrepresented Minority Participation: America’s Science and Technology Talent at the Crossroads, The National Academies Press, ISBN: 978-0-309-15968-5. [4] Graham, M. J., Frederick, J., Byars-Winston, A., Hunter, A.-B, & Handelsman, J. (2013). Increasing Persistence of College Students in STEM, Science Education, 341(6153
student creativity b. Uses open-ended problems c. Uses design methodology d. Incorporates the formulation of design statements and specifications e. Provides opportunities to evaluate alternative solutions f. Allows students to evaluate design feasibility g. Provides opportunities to consider economic factors, safety, reliability, aesthetics, ethics, and social impact 2) My team and I have considered the following throughout the design process: a. Principles of engineering b. Principles of science c. Principles of mathematics d. Public health design constraints e. Safety and welfare design constraints f. Global
algorithm biasbased on the survey analysis. One limitation we face is that our survey data covers a relativelysmall set of questions. In future research, we would like to gather more qualitative data as well asexpand the scope of questions. We hope to develop evidenced-based instructional activities tohelp students become more aware of ethical considerations when designing automated decisionmaking systems.Bibliography: [1] Friedman, B., & Nissenbaum, H. (1996). Bias in computer systems. ACM Transactions on Information Systems (TOIS), 14(3), 330–347. https://doi.org/10.1145/230538.230561 [2] Noble, S. (2018). Algorithms of oppression: How search engines reinforce racism. [3] Study Reveals Major Racial Bias in Leading
Paper ID #31799Cal Poly EE/CPE Diversity, Inclusion and Equity ProjectDr. Tina Smilkstein, Cal Poly San Luis Obispo Dr. Tina Smilkstein received her MS and PhD from UC Berkeley in 2003 and 2007 respectively. Her undergraduate work was done at Nanzan University in Nagoya Japan. After spending time in industry in Japan she returned to the US and did her graduate work. Her main interests are in integrated circuits, medical technology, and creating a successful environment for all students.Miss Jissell Christine Jose, California Polytechnic University San Luis Obispo Jissell Jose is a 4th year electrical engineering major at
Project Ponderosa – Bridging Engineering Education to Vocational Training Dr. Scott Boskovich, California State Polytechnic University, Pomona, CA 91768 and Dr. Chris Burns, Boys Republic, Chino Hills, CA 91709AbstractThe application of robotics and automation in industry continues to be an increasing area ofgrowth. Subsequently, this requires an increased demand for design engineering students as wellas knowledgeable users trained for equipment maintenance. However, this can becomeproblematic to adequately provide a realistic environment for both teaching design of roboticssystems as well as the maintenance. In recent years
(and faculty)feel more visible, and personal experiences on visibility. Efforts have been made, in small andlarge ways, to show students that their heritage, lifestyle, learning style, and other unique andvaluable parts of them are accepted by their classmates and never something to feel less-thanabout. For other students, we’ve made efforts to show them that it’s cool to embrace diversitythrough visibility and positive reinforcement and created work that made them have a stake inhow successfully all students are.If this is accepted as a presentation, I would like to continue the talk into a discussion with theattendees.INTRODUCTION:This paper is on the power of visibility. This paper is notscientific; It is an introduction and report on
Engaging students in evaluation of engineering situation through information literacyAbstractThe Accreditation Board for Engineering and Technology (ABET) requires that students inaccredited programs be able to, “recognize ethical and professional responsibilities inengineering situations and make informed judgments, which must consider the impact ofengineering solutions in global, economic, environmental, and societal contexts” (2018). Whilecovering the technical content of engineering courses, faculty sometimes forget our students’need to acquire these crucial non-engineering skills as a part of their preparation to enter into theprofession. This paper describes the process of integrating some of