levels are unaware of communal values inherent inSTEM occupations. Recent research on gender differences in math ability shows that the gap in mathperformance and course taking has largely closed [63, 64]. Not only is female students’performance on math tests very similar to that of male students, female students take at least asmany math classes in high school as do their male counterparts with a similar level of class rigor[65]. Different characteristics of classroom teaching show substantial effects on students’academic self-concept and their interest in a subject [66]. Comparisons in the classroom set anexternal frame of reference for the self-assessment and attribution of achievements [67]. Teachers’support in the attribution of
through which we examined the various influences on faculty’sactions is Fishbein and Ajzen’s reasoned action model for behavior, which is summarized inFigure 1. The core idea of the reasoned action model is that any behavior is directly predicted byan intention to perform that behavior, and that intention is created through three main factors:attitude, perceived norm, and perceived behavioral control. Attitude toward a behavior, whetherpositive or negative, is informed by a person’s assessment of the outcomes of performing thebehavior (behavioral beliefs). The perceived norm, or social pressure to perform a behavior, isinformed by a person’s beliefs about others performing or approving of the behavior (normativebeliefs). A person’s perceived
, computational thinking is a fundamental skill for everyone that involves problemsolving, designing systems, and understanding human behavior by drawing on the conceptsfundamental to computer science by thinking at multiple levels of abstraction. There are fourcategories of computational thinking: data practices, modeling and simulation practices,computational problem solving practices, and systems thinking practices [35]. Data practices involve the collecting, creating, manipulating, analyzing and visualizingdata. Modeling and simulation practices comprise using computational models to understand aconcept and find and test a solution, and assess, design and construct computational models.Computational problem solving practices include preparing
academic year, with over 500,000 in science, technology,engineering, or math (STEM) fields [3]. At the same time, findings from a 2018 national collegehealth assessment indicated that 60% of college students reported feeling overwhelming anxiety,40% reported experiencing depression, and 15% reported having both depression and anxiety[4]. In engineering education, international students are often discussed as a part of anotheridentity group (e.g., Black international students [5], female international students [6]); there is asmall but emerging body of literature on mental health in engineering education (e.g., Jensen [7]and Sanchez-Pena [8]). Given the large population of these students in engineering, it isimperative that we expand and deepen our
engineering withmarginalized identities navigate their workplace cultures, specifically looking at howthey can authentically be themselves. The data shown within this presentation werecollected as part of a larger NSF-funded study qualitatively assessing themanifestation of racism within the technology industry.From literature, we know that Black engineers leave their workplaces at a higher ratethan White engineers. This is largely due to the toxic workplace environments definedby White men that are unwelcoming for minoritized people [1], [2]. With this work,we intend to understand their experiences and combat racism in tech. The narrativesshared by the participants will provide a depiction of what is occurring in tech. Theintention of this is to
elements,electromechanical systems, applied control systems, and mechatronics design; as well as anintroduction to various applied mechatronic system case studies such as: autonomoussystems/vehicles, industrial automation, solar-fuel cell renewable energy systems, micro-electromechanical systems, and quantum engineering.1. The course stimulated my interest in mechatronics field.2. The instructor effectively explained and illustrated the mechatronics course concepts.3. The instructional materials increased my knowledge and skills in mechatronics.4. The tests/assessments accurately assess what I have learned in this course.5. This class has increased my interest in mechatronics field of study.6. This course gave me confidence to do more advanced
surgeon controlling the surgical platform that performs the action. There could alsobe a technical flaw with the performance of the platform. These could be taken back to a fault inthe design of the platform. The patient upon whom the surgery is performed will need to be wellinformed about how the surgical platform works in order to assess whether or not they will opt infor robotic surgery. This can be viewed as a matter of informed consent. However, if a patient isnot fully informed about how the robotic platform works, they may claim that their right toinformed consent has been violated. What might be at issue is the intention of a hospital to usesurgical platforms and the training of surgeons to employ a robotic platform, in contrast with
, The peer mentors consisted of both “peer” (e.g., CSwhen CS classes are taught without iterative assessment students who are at a similar academic rank as those in thethen instructors may overestimate students’ starting PINC program) and “near-peer” (e.g., CS students whoknowledge, leading to assignments that are too difficult have advanced CS training such as those in the MSand fail to engage students’ interest [17,18]. program) mentors. The mixture of various
educational mission to teach explicitly the institution’s and profession’svalues, how to identify and assess relevant facts, and how to critically evaluate an argument. Ourteaching of critical thinking in engineering needs to expand to include information literacy andbroader conceptions of criticality. 23 Our arguments, if they are of high quality, will win the day,if we take the time to lay them out clearly for students. The time has come we when can nolonger take multicultural arguments for granted as commonly accepted knowledge, such that itsuffices to lightly reference them in the introductions to our research on diversity in STEM. Thisrequires a deeper, concerted effort to truly understand our students and the debates of the day inwhich they are
situation is unique in that we have continued to maintain our existing single-disciplinarycapstone projects while bringing these new service-based multidisciplinary projects online.Furthermore, while previous work has examined the impact on students and capstoneinstructional faculty [1,8], we examine this change from additional perspectives including thoseof students, faculty (both instructional and administrative), and our community partners.To better understand the impact of the transition to PBSL project we conducted surveys andinterviews with capstone students, faculty, and community partners to assess their beliefs aboutthe projects and what benefits and challenges they have encountered. From these sources, wehave identified several findings
colleges across campus. The surveys wereanonymous so it is unfortunately not possible in most cases to isolate the responses from studentsin the focus section from other students in the course, the exception being when students mentionrequirements of their specific section.Students were asked Likert-style questions about whether they agreed or disagreed that they hadmet the following course goals. The scale ranged from 1 (strongly disagree) to 5 (stronglyagree). The results are summarized in Table 1 and discussed below.Table 1 Student Assessment of Their Attainment of Course Goals Mean Standard
whileexplaining some of the information. The materials were explained and the rationale for usingthem in their demonstrations. By providing each team with the specific template to be followedwhen completing the plan over the next few weeks, the STAR Center could ensure that eachteacher was submitting a plan that would include all criteria required. The template includedbasic sections for the grade level audience, the lesson title and a brief overview buteventually required more specific sections to correlate the assessments and outcomes,discussion of the instructional strategies and sequencing, and the rationale and casualexplanation of the engineering that was used in the classroom. Overall the template wasused as an outline to maintain a similar
two in-class days with several pre and post assessments that areconducted in class, online, with student groups, and individual students. The EV/AV activity isfully described in previously published work 3. In brief, students are given a reading assignment15 before they come to class. They are also asked individual questions that they answer online.The questions asked were slightly modified from the previous work 3 and can be seen on Table 1.On the first day of the activity, the instructors lead a discussion and then students are grouped.They read five articles about Electric Vehicle (EV) adoption 32–36 and participate in a student-centered activity. After class, the students answer individual questions online that reflect theirclassroom
, CO, USA) in 2018. There she gained experience working as a graduate teaching assistant for computer aided engineering, biomedical engineering capstone design, and biomedical engineering introductory classes. She served as a Graduate Teaching Fellow for the College of Engineering during the 2016/2017 academic year. Nicole is currently a instructional post-doctoral fellow in the Transforming Engineering Education Laboratory within the Biomedical Engineering Department at the University of Michigan. Her engineering education interests include collaborative active learning, assessment methods and accreditation, and curriculum design.Dr. Aileen Huang-Saad, University of Michigan Aileen is faculty in Engineering
- puter Engineering and (by courtesy) Engineering Education and Director of the Vertically Integrated Projects (VIP) Program at Purdue University. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineer- ing Education, all from Purdue. Prior to this she was Co-Director of the EPICS Program at Purdue where she was responsible for developing curriculum and assessment tools and overseeing the research efforts within EPICS. Her research interests include the professional formation of engineers, diversity, inclusion, and equity in engineering, human-centered design, engineering ethics, and leadership.Mr. Sean Eddington, Purdue University Sean Eddington (Ph.D., Purdue University) will be an assistant professor of Communication
this issue, we can consider how theactors who have produced and endorsed engineering codes of ethics may have seen theirenterprise as a social one.The existence of any regulatory instrument, whether we refer to laws, standards, policydocuments or codes of conduct, implies that its authors perceive a risk of transgression. Whenengineering societies produce codes of ethics, how great a risk of transgression do they perceive?Who is assessing this risk, and is it seen to differ for different persons who are subject to thecode…say, for the neophyte vs. the senior practitioner? Who counts among the morallydependable and who among the fallen or suspect? As Pfatteicher makes clear, codes of ethicsoperate on the presumption that knowledgeable
twice as much time on 0 0 0 2 4 6 8 10 12 14 16 18 20 Classestheir game-based coursework than the average re- Figure 2: Hours students spend, outside of class, onported over all other courses. With the next highest their coursework.value in the chart at 1.51, the MEE 381 students are investing roughly 35% more time in the classthan the next highest course.3.2 Depth and Breadth of LearningTo assess whether this extra time translates to improved learning, we compared students who tookthe game-based numerical methods course to a control
at least twice, and that was an important aspect for the course. Access to receivinguniversity engineering professors should be early and often for transfer students to assuage any Page 13.1297.5anticipated difficulties in making faculty connections8 and to facilitate student success.11 The major design project was team-based, and this required that the students enrolled inthe course be distributed among teams. To start the process of making team assignments,students were asked to do a self assessment of skill sets that would be needed for the project andfor computer programming, a major content area in EngE2984. The survey used is
Foundation, the U.S. Department of Education FIPSE program, the National Endowment for the Humanities, and the Colorado Commission on Higher Education and has published widely in the areas of engineering education assessment, pedagogy, and curricular design. He has won the Helen Plants award for best non-traditional session at the FIE conference (1995, 2006), the William H. Corcoran Award (best paper in Chemical Engineering Education, 1999), and the William Elgin Wickenden Award from the American Society for Engineering Education for best paper published in the Journal of Engineering Education (2005
PIV systems. It is believed that such asystem may be a great asset in high level education. The ePIV system addresses theshortcomings of existing PIV solutions and allows access to the highly visual PIV technology ineducation. In the following sections, details of the ePIV hardware as well as the software will bepresented. Then class design of this technology, examples, and ABET outcome assessment willbe discussed. Finally, discussion and concluding remarks will be presented.2. Particle Image VelocimetryPIV technique has been used extensively in research environments and has been available formore than two decades5. A typical PIV system consists of a digital camera, a pulse laser such asa Class IV Nd-YAG laser, an optical arrangement such as
give four exams during the semesterwhile others give two or three. Another major reason is that some of the thermodynamicssections meet twice a week for 1.5 hours instead of the traditional 1 hour class sessions. Page 13.313.5Therefore, each time an exam is given, a half-hour of lecture time is lost. With four exams, aninstructor is losing two hours of classroom instruction. The instructor giving the four exams,however, considers the trade-offs are worth it, because this helps assess the student’scompetency in detail on focused subject matter with this number of examinations. Classroom
to put in place anengineering thermodynamics course with problem-based learning, then assessment of that goalcan be done by asking whether the course with the required characteristics has beenimplemented. However, questions about the degree to which the course changes made adifference can be addressed only if new goals with respect to student learning, retention, orsuccess are formulated. If these goals were articulated at the beginning, then alternatives to theproblem-based approach could have been explored before launching the problem-basedcurriculum. Conversations about alternative approaches might have been contentious andseemingly unproductive, and delayed implementation of the first prototype, but the result mighthave been more
require a transformational change in how we prepare our learners across all ages. Therefore, fundamental research that describes the knowledge, skills, and attitudes learners’ bring to their engineering education that influences what they learn as well as how students develop the ability to learn, think, innovate, and problem solve like an engineer will challenge current assumptions about how we teach and assess for understanding. Learning to engineer will require three major strands of inquiry that centers on understanding: 1) learners acquisition, comprehension, and synthesis of domain specific knowledge to achieve contextual goals; 2) the learning progressions of learners and their
Management; and to survey students,professors, and field personnel who experienced the job site to classroom webcam educationalactivities was completed in the fall of 2006. This initial use of live wireless webcam technologyfor CM field trips was received with enthusiasm by students, faculty, and the field personnel thatworked with the equipment.Use and assessment of the equipment continued during the spring semester of 2007 at 5 jobsitesin two states. This paper summarizes the experiences and data collected during the wirelesswebcam field trips to demonstrate the value of wireless field trips as a tool to enhance theeducational experiences of CM students. In addition, best practices and operational instructions,which were developed based on these
that checks and balances can be applied to make the design more robust to societalpressures.We live in a culture that has been described as given over to “technicism”5 or “technopoly.”6These terms express the realization that contemporary North American culture overly relies ontechnical solutions to problems and has too much faith in science and engineering to give uspower over the natural world and other humans. The tendency to idolize technology will increasethe risks of technology. Without a respect for the limits of technology, technological development Page 13.1312.5can take place at a pace that leaves no time for careful risk assessment
middler students’ inclusion of active learning techniques benefiting physics courses, may have beeninfluenced by Northeastern University’s recent re-structuring of the fiscal academic schedule fromquarters to semesters; thus, new course content has been assessed and adjusted over numerous iterationsover the past several years in an effort to determine the correct material content. As such, it is not unlikelythat their experience differed slightly from those of the freshmen and senior students.Table 6. Seniors: Suitability of Courses for TL (Traditional Lecture) and AL (Active Learning). 1b: Lecture n=37 2b: Active n=36 Class Type
initiating and developing a course in contract law for engineers. Dr. Orndoff joined FGCU with more than 10 years of field experience and has worked in multiple areas of civil engineering with the Illinois Department of Transportation. Her areas of expertise include sustainability, asset management, decision-making, economic development, performance assessment, policy, organizational assessment, and public relations. Her engineering research incorporates economics, public administration, public policy, political science, public finance, planning, and sociology aspects. Key to her engineering research is the focus on multiple stakeholders and their considerations in the decision –making process