response.We are currently implementing these ISMs in a Vibrations course taught by one of the authors. Apreliminary assessment of five of the ISMs has indicated that most students have found the ISMsto be very helpful in visualizing and understanding the topics that have been discussed in class.We intend to use the assessment of the students in the class to determine the effectiveness ofproviding these ISMs and improvements that may be implemented in the future.Introduction and MotivationA course in Vibrations is a mainstay of virtually every undergraduate Mechanical Engineeringcurriculum, offered either as a mandatory course or a technical elective. At a minimum, anundergraduate course in Vibrations involves the study of the motion of single (SDOF
Computer Engineering at the University of Central Florida (UCF), Orlando, FL. His research interests include Machine Learning and Neuromorphic Computing, Emerging Nanoscale Electronics including Spin-based Devices, Reconfigurable and Adaptive Computer Architectures, and Low-Power and Reliability-Aware VLSI Circuits.Dr. Ronald F. DeMara P.E., University of Central Florida Ronald F. DeMara is a Professor in the Department of Electrical and Computer Engineering at the Univer- sity of Central Florida (UCF), where he has been a full-time faculty member since 1993. His educational research interests focus on classroom instructional technologies and the digitization of STEM assess- ments. He is Principal Investigator of the
. colleges and universities may participate in the competition either as partof an academic course or as an out-of-class project, with a faculty advisor. Each student teamsubmits a design package that proposes an innovative design to solve a real-world problem thatairports are facing and a self-assessment of the educational experience of participating in thecompetition. The self-assessment includes both student and faculty inputs.This study aimed to address two research questions: 1. What are the metrics were used by student teams to measure sustainability in the 2013 – 2017 1st place winning proposals of ACRP airport design competition? 2. What are the motivations for the 2013 – 2017 1st place winning teams to include
the first year of acurriculum. Beach et al. [5] studied the current nature of robotics competitions, and proposed amethod of formulating competitions to entice students to push the boundaries of what robots cando, rather than simply completing tasks and playing games. Not only in college level STEMeducation, robotic competitions have been widely used for K-12 education; whereby, studieshave shown improved STEM and other assessment (ACT, SAT) scores as a function of K-12student participation in robotics competitions [6] [7]. Moreover, competitions have been shownto enhance students’ motivation to learn in both the K-12 and university setting [8]. Additionally,the benefit of robotics projects in promoting teamwork and leadership skills which
withoutbecoming discouraged. Beyond reach at present (what students ZPD (what student can cannot do) do with assistance) Prior knowledgeFigure 1. Illustration of ZPDEngineering educators have studied engineering undergraduates’ lab report writing with moststudy results predominately focused on best practices for supporting lab report instruction inclassroom settings [7-14]. The best practices include tutoring support and automated feedback,peer evaluations, self-evaluations, and assessment standards, and a web-based writing supportsystem. Having said that, studies
eachvariable were assessed using Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy andBartlett's test of sphericity. KMO = 0.820 and Bartlett’s test yield significance at (χ2 (1225) =7553.26, p < 0.001), both measure suggested the dataset was appropriate for factor analysis [43],[44]. The factor extraction method used in the exploratory factor analysis was ordinary leastsquares (OLS). A recent study found that OSL yields “factor loading matrices that exhibited lessbias and error” than maximum likelihood and principal axis methods [45, p. 189]. This method ofextraction is appropriate as the data were within the acceptable range of skewness and kurtosis.Scree plots were used to visualize the number of factors that should be retained for each
Paper ID #28847A Multi-Year Case Study in Blended Design: Student Experiences in aBlended, Synchronous, Distance Controls CourseProf. Alisa Gilmore P.E., University of Nebraska, Lincoln Alisa N. Gilmore is an Associate Professor of Practice in the department of Electrical and Computer En- gineering at the University of Nebraska – Lincoln. Her expertise is in teaching and developing courses in robotics, telecommunications, circuits and control systems. She serves as the chair of the Continuous Improvement of Teaching and Learning committee in the College of Engineering, and assessment coor- dinator for the ECE department
havethe opportunity to earn academic credit for their engineering design work. A key difference in thisframework as compared to other typical capstone designs, independent studies, or research creditcourses is that undergraduate TAs and project managers within the project teams are responsiblefor developing many of the assignments distributed to those students enrolled the course as theproject progresses. The methods of student assessment within this framework include: individualor small-group weekly assignments, design notebook checks, peer and self-evaluations,participation, summative technical reports, and the Humanitarian Library. Additionally, unlikemany traditional problem set or laboratory courses, student skills are developed through
goal of this research is to explore the stepsthat the participants take when solving an ill-structured engineering problem and investigate theirproblem solving behavior. This includes assessing how much time they spend working on theproblem, whether they ask any questions or seek assistance during the problem solving process,whether they generate multiple alternative solutions, and how design processes of a studentcompare to those of a faculty member and a practicing engineer. Examining such differences inthe problem solving processes of participants will help to understand the differences betweenacademic preparation in solving ill-structured problems and problem solving approaches used bypracticing engineers. It will also help to guide
support from their Employer or academic institution to dedicate time to participating (Membership/Volunteerism) in ASME. Content Development: After scoping the project, the team of assigned interns collaborated regularly over the course of seven months. Initial research involved assessment of existing materials within ASME as well as externally relevant organizations such as IEEE, AIAA, ASCEASHRAE, and non-engineering entities. Figure 1 demonstrates an example of the ECLIPSE Project schedule. Figure 1: Project Timetable Based on research, the team was not able to identify a clear and straightforward path for ECEs to present the ASME business case to their Employers. Therefore, it was determined that severaltypes
to consider howthese factors interact with one another. Students’ affective attributes are complex in nature; thus,research methods and analyses should holistically examine how these attributes interact, notsimply as a set of distinct constructs. Prior research into engineering students’ affectiveattributes, in which we used a validated survey to assess student motivation, identity, goalorientation, sense of belonging, career outcome expectations, grit and personality traits,demonstrated a positive correlation between perceptions of belongingness in engineering andtime spent in the program. Other prior research has examined interactions between affectiveattributes, for example engineering identity as a predictor of grit (consistency of
achievement incourses taught simultaneously through alternative course designs remains limited. The purposeof this study was to examine the effects of these varied instructional methods by investigating thestudent achievement outcomes of engineering students enrolled in the same course taughtthrough three different instructional models. The study also aims to assess more specific flippedcourse design components (video lectures) on student outcomes as well as to evaluate the datathrough the context of the Technological Pedagogical Content Knowledge (TPACK) andConstructivist theoretical models.Beginning in the fall of 2018, a 200-level mechanical/aerospace course, Statics, was taught bythree different faculty members at a large university in the
RPPmodel, this partnership might best be described as a Community of Practice in which equal valueis placed on in-service teachers, Ph.D. students in CS and engineering majors, and students with ahistory of robotics learning experiences in elementary schools, all supported by the staff,infrastructure, and grants of the K-12 STEM Center. External independent assessment has beenprovided by STEM Program Evaluation, Assessment, and Research (SPEAR) consultants withsubstantial experience in evaluating education interventions such as BOTS.Called Building Opportunities with Teachers in Schools (BOTS), the collaborators aimed todesign a low-cost, scalable solution that focuses on improving the teachers’ confidence inteaching computer science through
helped to improve their understanding. Further, student performance onexams improved over the course of several semesters as the previous projects were integrated intothe course as additional learning tools. Assessment of the projects over several semesters, as both a deliverable by students and alearning tool for students, will be further discussed in this paper.Introduction At Northeastern University, the transport course focusing on heat and mass transfer is oneof the most theoretically dense courses in Chemical Engineering. This course must first re-introduce the general concept of transport and draw connections to the students’ learning ofmomentum transport, which for many of them occurred in a class they took a whole
-readers. He holds 31 patents related to semiconductor devices and microfabrication. His current research interests include instrumentation for combustion sci- ence, novel methods for environmental remediation, and microelectronics including surface acoustic wave (SAW) devices. In addition to teaching in the field of electrical engineering, he coordinates the senior en- gineering capstone program which is a multidisciplinary, two-semester course sequence with projects sponsored by industrial partners. Within this role, he focuses on industrial outreach and the teaching and assessment of professional skills. He received his Ph.D. and S.M. degrees from MIT in 2007 and 1999, respectively, and a B.S.E.E. degree from the
established that the twogroups were effectively equivalent in terms of their conceptual understanding before the labstook place. With this result, subsequent performance of the groups could be meaningfullycompared. Due to curricular constraints, we could not implement meaningful pre-post testing foreach of the groups, and so different assessments were instead used for comparing the two groupsthroughout the course. In particular, common post-tests designed for the study were administeredat the end of each lab for all students, and a common final exam was administered to all studentsat the end of the course. As such, these assessment results are analysed and compared betweenthe two groups. The qualitative portion of the data is comprised
in improving research on these efforts [7]. A study in 2011 highlights therecent increase in faculty members’ willingness to participate in these outreach efforts [8]. Otherresearch efforts focus on understanding the student experience of these outreach efforts and thepotential for increasing access and opportunities to different communities [9]. Another branch ofresearch within engineering education outreach efforts focuses on the development of tools tohelp guide the formative assessment of STEAM outreach programs [10]. Yet, from our review ofexisting literature in engineering education, research on outreach efforts tends to focus onSTEAM curriculum assessment and impact for students engaged in the outreach efforts, and fewexplore the
and accessibility of information has increasinglycreated a concern for the security of private corporations’ critical infrastructure [3]. Privatecompanies have been successfully targeted because of weaknesses in employee awareness,personal information availability, and IT vulnerabilities [3]. Therefore, for-profit organizationshave been encouraged to use OSINT as a risk assessment tool to determine the vulnerabilitiesthat are present in a company [3]. For example, [3] conducted a study that used OSINT toimplement a vulnerability assessment and effectively collected personally identifiableinformation from a company’s employees. Similarly, [10] showed how spear phishing attackscan result from using open sources available on a company’s personal
Applicability Foundational • IT staff • Assess infrastructure readiness for the service • Service providers • Provide guidance for infrastructure changes • Service managers needed to support the service or improve delivery quality • Proactively identify issues • Troubleshoot issues • Provide relevant data to IT organizations collaborating on addressing an issue Meta
by mid-April for interviews. Individual interviews are held by the CAPS selection committee, comprised of the CAPS PI and a Mentor+ faculty advisor from the applicant’s department. Through interview questions, students were assessed on their potential for academic success, passion and dedication to the STEM field and what obstacles they perceive to pursuing their goals. Each interviewer thoroughly documented interview answers and feedback. Scholars are finally selected based on four criteria: the funding agency criteria (citizenship and fulltime enrolment); academic ability (e.g., GPA); financial need as determined by the campus financial aid office; and their potential to succeed based
and summative. CM 5: How to structure a literature review CM 6: How to structure a research prospectus CM 7: Test Assessment: Test Performance Successful selection of a research seed projectZooming In – Deep Study and Summary of a Single Paper (7 meetings) CM 8: Abstracts, Conclusions, Figures, Tables, Schematics etc. CM 9: Materials and Methods 1 CM 10: Materials and Methods 2 CM 11: Class meeting 4: Analysis and Conclusions 1 CM 12: Class Meeting 5: Analysis and Conclusions 2 CM 13: Putting it all together Papers - Peer Evaluations 1 CM 14: Putting it all together Papers - Peer Evaluations 1 Assessment: Participation (20 %): Meeting with the faculty partner to get feedback. Incorporating feedback into the
not major, but they were necessary for theadoption of the program to an institution like UIC. These changes were incorporated to ensurethat the program met the goals and kept its critical components (i.e., ENG 294 course, dual-mentoring, and team-based structure). After the first year of the program, we plan to report onstudent outcomes and assessment data as well as provide a more detailed report of theadjustments made to ERSP at UIC.References[1] M. Barrow, S. Thomas, and C. Alvarado, “Ersp: A structured cs research program for early- college students,” in Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016, pp. 148–153.[2] n.d., “ERSP | Instructor resources.” [Online]. Available
teaching excellence initiatives. Her main teaching interests include solid mechanics and engineering mathematics.Dr. Kathryn Dimiduk, Cornell University Kathryn Dimiduk is the Director of the Teaching Excellence Institute in the College of Engineering at Cornell University. She received her B.A. in Physics from Cornell University and her Ph.D. in Applied Physics from Stanford University. Her current research interests are in engineering education.Dr. Andrew van Paridon c American Society for Engineering Education, 2020 Effect of Mastery-graded Exams on Student Outcomes in Statics and Mechanics of Solids CourseAbstractWe piloted a mastery-style assessment method in one section
STEM pedagogy, design thinking, project-based learning and educational entrepreneurship.Dr. Carla B. Zoltowski, Purdue University-Main Campus, West Lafayette (College of Engineering) Carla B. Zoltowski is an assistant professor of engineering practice in the Schools of Electrical and Com- puter Engineering and (by courtesy) Engineering Education at Purdue University. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineering 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 academic and research interests include the profes- sional formation of
and community assessments using design ethnography, and translating those strategies to design tools and education. She teaches design and en- trepreneurship courses at the undergraduate and graduate levels, focusing on front-end design processes.Mr. Varghese Ittoop Vadakumcherry, University of Michigan Varghese Vadakumcherry is a senior at the University of Michigan, currently pursuing a degree in Me- chanical Engineering. He has a great interest in Design Science and is currently working with Dr. Shanna Daly in developing methods conducive to the design process, particularly in the early stages of concept generation and selection. c American Society for Engineering Education, 2018
practices [17], and they also happen to be a greattool for teaching and assessing student performance in leading others.Despite the use of team activities by faculty, only 8 out of 42 faculty respondents specificallycalled out principles such as “work[ing] well in teams” or dealing with “conflict management”and other aspects of teamwork as “important principles to convey.” These observations show thatfaculty want to use teamwork in their classes, but they do not often teach principles of teamwork.This observation aligns with the work of Lingard & Barkataki [18]. This disconnect betweenteam activities that many faculty already employ, and the awareness that such team activitiesneed intentional instruction represents an important opportunity for
improvements were related to the support andadministrative processes5. According to Nadeau6, the major barriers to enhance the Leanmethodology in academia are the correct determination of added value, different types of waste,and defining a client of the process improvements. Kang and Manyonge10 in their study definedthe types of waste which can be found in HEI with focus on the waste of over-processing andexcessive motion. They considered three basic categories for process improvement: Students,Research, and Staff, and included the teaching assessment and research life cycle processes inthe list of processes for improvement using Lean tools. The authors described a 5S project forprocessing and storing of students information which resulted in reduced
groups duringclass. Peer evaluations were conducted at the end of the semester. The peer evaluations were thesame for all sections. Students were asked to give themselves and their groupmates a grade outof 100. The grades were averaged across the group for the final peer evaluation score.During both semesters, students were assigned online multiple choice pre- and post-quizzes thatwere graded on completion, not correctness. The course assessment also included four examswhich included the final. The grade weightings across semesters and class types are shown inTable 1. All exams included a group take-home exam worth 30% of the exam grade and an in-class individual exam worth 70% of the exam grade. The first three individual exams usedsimilar
, but the25th and 75th quartiles for the class overall are $-4 and +20, respectively.Figure 1. Difference in average dollars between female to male peer bonusallocations of femalesThis plot shows that across all three projects courses, the median difference between men’s andwomen’s assessments through bonus distribution of female teammates is similar, meaning thereis little overall difference in how men and women assess their female teammates. However, therange in bonus money allocation is much wider in First Year Engineering Projects andEngineering for the Community than in Invention and Innovation. In particular, the First YearEngineering Projects course had bonus discrepancies in which the average women’s bonussuggestion was up to $30
in engineering education and professional development for 9-12 grade science faculty designated to teach engineering. His research revolves around developing and validating curricular methods to improve en- gineering education in informal, traditional, distance, and professional environments. Dr. Goodridge currently teaches courses in ”Teaching, Learning, and Assessment in Engineering Education” and ”Engi- neering Mechanics: Statics.” Dr. Goodridge is an engineering councilor for the Council on Undergraduate Research (CUR) and serves on ASEE’s project board. Dr. Goodridge actively consults for projects includ- ing the development of an online curriculum style guide for Siemens software instruction, development of