, persistence, completion, andsuccess [6], [7]. Weidman [8] and Weidman, Twale, and Stein [9] note that graduate students’socialization occurs in four stages: Anticipatory, Formal, Informal, and Personal. It is identifiedthat the high attrition rates for ethnic minority doctoral candidates is because they have notprogressed through all of the stages. Through research it has been broadly concluded thatdoctoral student support features such as faculty mentors and individualized developmentopportunities build capacities that are central in successfully completing a plan of study.The AGEP Alliance Model for Advancing the Faculty Careers of Underrepresented MinoritySTEM Doctoral Candidates who are Instructors at Historically Black Universities has
planned to be administered toengineering graduate students among all 14 current ERC with the help of the centers’ leadershipteam. Participants will be asked to rate their level of knowledge about leadership and theirfrequency of embodying leadership skills in daily work both before joining the ERC and at thecurrent time. Exploratory Factor Analysis and Cronbach Alpha analysis will be conducted afterthe quantitative data is collected to provide evidence for both construct validity and reliability.The pre scores and post scores over the leadership knowledge and skill items from allparticipants will be analyzed to examine if ERC engineering graduate students significantlyimproved their level of leadership understanding and skills by serving as
plan is that students are now asked to describe not only how theyhave experienced the leadership behaviours for their orientations, but also what they think thesetypes of leaders would look for in followers. Students capture their content on charts and thendebrief in a whole class sharing activity.As instructors we have run this activity in eight classrooms (both virtually and in person)between September 2020 and April 2022. We are in the process of completing an institutionalethics review protocol to formally evaluate this initiative and our undergraduate engineeringleadership courses as a whole. For now, we use this WIP paper to share key themes emergingfrom our own classroom observation and student reflections.Instructor ObservationsOur
especially liked the trying of the mirco-bits and other tools wecould use in the class room”. Another example is “The discovery-based and group discussionbased sessions really helped me better understand how technology and science work together toproduce results. I regularly use discovery-based instruction as well as groups in my classroom,but now since I have gone through those steps myself, it has given me a better idea of where tolook for problems as the students are learning. The instructional strategy workshops were alsovery beneficial. All professors provided me with tools that I plan to use in my classroom.”.Overall, teachers had a positive experience with the six-week summer program. Their averagerate is 3.72, ranging from 3 to 4. 3 means
. K. Phillips, G. Klein, and W. R. Sieck, "Expertise in judgment and decision making: A case for training intuitive decision skills," Blackwell handbook of judgment and decision making, pp. 297-325, Malden, MA: Blackwell Publishing, 2004.[8] C. M. Seifert, A. L. Patalano, K. J. Hammond, and T. M. Converse, "Experience and expertise: The role of memory in planning for opportunities," Expertise in Context, pp. 101-123, Menlo Park, CA: AAAI Press/ MIT Press, 1997.[9] G. Klein, and R. R. Hoffman, "Macrocognition, mental models, and cognitive task analysis methodology," Naturalistic Decision Making and Macrocognition, pp. 57-80, Hampshire, U.K.: Ashgate, 2008.[10] S. E. Dreyfus, “The Five-Stage Model of
greater than 10 lbs./sq.-ft. load hanging fromthe ceiling [9]. This data is a key factor when considering the safe use of ceiling space to facilitatestorage.3. 5S Implementation Plan / Safety AssessmentRemodeling of existing setup is the desired state of the workspace after all objectives have beenmet. Aforesaid 5S garage space design may require installation of fixturing to support wall andceiling optimization. Garage wall optimization typically involves the installation of shelving, pegboard or rail systems for easy access to tools and utilities. Ceiling space optimization typicallyinvolves the installation of overhead storage. Two overhead storage kits sized 4ft X 8ft, weighing59.7lbs each were purchased for the future state design. Each
distributed control system demonstrated a successful deployment to the punch machine.Extrapolating from this small-scale example the same structure and process has real worldapplication in automated systems.KeywordsO-PAS, IEC61499, distributed automation, 4DIAC, distributed control nodesIntroduction & BackgroundOpen process automation standards (O-PAS) have been developed in response to the automationand control industry’s interest in creating a more open and interchangeable system within theindustry. The Open Process Automation Forum (OPAF) began this undertaking in late 2016 [1]with the goal of creating process automation standards for the benefit of industrial plants andfacilities. Three versions of the O-PAS have been planned and versions 1.0
negotiated whenconducting longitudinal large-scale SMS-based research, such that other researchers consideringor planning longitudinal research in any research topic area will not need to “reinvent the wheel.”In this paper, we translate our interpretations of extant literature and demonstrate how we chose toapply these principles in our study. While we have sorted the considerations into categories, allresearch decisions are iterative in that the decisions made in one category inform advantages andlimitations in other categories. Then, the subsequent section introduces our study in the contextof studying graduate attrition mechanisms as an example platform by which to show how weconsidered and negotiated these aspects in our study design.Survey
semester. The two primary reason theinstructor for CE483 developed the flipped classroom for the Fall of 2021 was to free up in-classtime to work complex design problems for a common real-world building plan. The intent was tohelp students connect concepts to a single building design as they progressed through the course.The results were compared to the non-flipped course in the Fall of 2021.The instructor created 1-2 videos for each lesson. The average length of each video wasapproximately 20 minutes. The videos were posted on Microsoft Stream and accessed bystudents on Microsoft Teams. Figure 4 shows examples of videos created by the instructor. Thisinstructor took the approach to vary delivery of the course material. They used PowerPoint toshow
Wanted to use engineering solutions to address social problems Not Sure Other:2. When you began your engineering degree, how confident were you that you would complete it? (Check one) Not very confident; I was already unsure of my plan to study engineering There was about a 50% chance that I would complete a degree in engineering I was fairly confident that I would complete a degree in engineering I was very confident that I would complete a degree in engineering Other:3. At the present time, how confident are you that you will complete a degree at this institution? (Check one) Not very confident; it is highly likely I will not complete any college degree at this institution
ofleadership positions that can help others in the promotion processes.References[1] Alexander, A., Karvonen, M., Ulrich, J., Davis, T., & Wade, A. (2012). Community college faculty competencies. Community College Journal of Research and Practice, 36(11), 849-862.[2] Dalkey, N. C. (1972). The Delphi method: An experimental study of group opinion. Futures, 1(5), 408-426.[3] Delbecq, A. L., Van de Ven, A. H., & Gustafson, D. H, (1975). Group techniques for program planning: A guide to nominal group and Delphi processes. Glenview, IL: Scott, Foresman.[4] Childress, V., & Rhodes, C. (2006). Engineering student outcomes for grades 9-12. Research in Engineering and Technology Education. National Center
difficult concepts in thermal-fluid sciencecourses as indicated by increased achievement scores? (Enhancement) and (3) What are studentperceptions of using mobile devices for solving real-life problems? This poster will provide anoverview of the research plan and describe some preliminary research efforts.BackgroundMobile learning in the classroom presents several benefits to students. The rising costs of paper-based textbooks is making access to subject matter content increasingly cost prohibitive formany students [10, 11], especially those coming from low socio-economic backgrounds.Instructors can help economically marginalized students overcome such barriers by using OpenEducational Resources (OER) that students can access via mobile devices
students place more importanceon their future career plans as what influences their interest the most.The quantitative data paints a different, but not contradictory, picture. All grade levels seemed togain interest in STEM from attending the camps, but it was the 7th graders who benefitted themost, with 8th graders next, and 9th graders last. The linear formation of the grades indicates thatit is important to have opportunities for younger students in STEM since that is when they aremost likely to benefit from said opportunities.Looking at all the data, the camps appear to have a stronger impact on younger pre-high schoolstudents. On the other hand, 9th graders were less likely to be swayed, less likely to receiveinfluence from family based on
shows benchmarking data taken from the pre-tests completed by the firstcohort of BME 2900W students. We plan to share additional preliminary data at the 2022 AnnualMeeting, including qualitative analysis of the open response questions from the pre-tests. Weanticipate that after completion of BME 4901W, students will demonstrate an increasedunderstanding of the breadth of technical information sources available. We also anticipate thatthe laboratory reports completed by students who received this intervention will showimprovement across all three learning outcomes as well as increased utilization of specializedresources such as experimental protocols and engineering handbooks as signified by internalcitations and lists of references.Table 1
developed coursematerials for an introductory course on electronic circuits. Further refinements were introduced inSpring 2016 to address some shortcomings after the first change.The new course places emphasison intuition in addition to mathematical rigor. Every aspect of the course is carefully planned toenable students meet the objectives mentioned earlier and develop skills necessary to analyze PROBLEM 3. (40 points) Determine the expression for input to output incrementalcomplex circuits. The introduced changes vout1 enabled us to offer anvintroductory out2
for assessing how people did a project because I don't think that I would be able to see clearly enough what they actually did. Value Planning Time Time, you know it's, it's a, we spend a lot of time making our courses. And you know, if we are going to revamp assessments in some way, you know, it's not just change, change, the whole change the exam problems each year. It's well, now we have to really change the course…You know, and we have to
the survey, we plan to add more detailed feedback tosome questions on Canvas and provide more instructions on how to troubleshoot problems inhands-on labs to help students learn better.REFERENCES[1] R. T. Abler, D. Contis, J. B. Grizzard, and H. L. Owen, "Georgia tech information security center hands-on network security laboratory," IEEE Transactions on Education, vol. 49, no. 1, pp. 82-87, 2006, doi: 10.1109/TE.2005.858403.[2] J. C. Brustoloni, "Laboratory experiments for network security instruction," J. Educ. Resour. Comput., vol. 6, no. 4, pp. 5–es, 2006, doi: 10.1145/1248453.1248458.[3] P. Li and T. Mohammed, "Integration of virtualization technology into network security laboratory," in 2008 38th Annual
square lab and the Volume of arectangular box lab. With thoughtful planning on the difficulties and arrangement of labs,students can learn the more challenging concepts in assembly programming effectively. Figure 10: Median number of total program runs per student for each COD lab. Error bars represent the 95% confidence interval. Figure 11: Median number of total minutes spent per student for each COD lab. Error bars represent the 95% confidence interval.Figure 12 shows the median number of program runs for each COD lab in the development andsubmission mode. The data suggests that students are utilizing the built-in simulator to developand troubleshoot their programs. This observation is
implement the VLs. AAE 35201 is a one-credit laboratory course inaerospace structural mechanics [1] that accompanies AAE 35200 Structural Analysis I Lecture([40], [41]), which is a three-credit lecture course. The AAE 35201 lab course deals withbending members (i.e., Labs 1, 2, and 4), torsion members (i.e., Lab 3), buckling members (i.e.,Lab 5), and rotating-bending members (i.e., Lab 6A), and stress concertation (i.e., Lab 6B) asoutlined in Table 1. For the physical labs, we currently have Labs 1–6A. On the other hand, Lab6B, the stress concentration lab, is presently a virtual-only lab that we implemented in 2020–2021. Although it is labeled Lab 6B and is a part of Lab 6, it can be inserted into any lab,allowing for course planning and
of this pilot canadequately answer our four research questions with access to a larger sample size.Future WorkUpon amending the study based on community feedback obtained during the ASEE NSF postersession, we will expand this study during the fall 2022 semester to include fifteen engineeringstudents, tripling the sample size of this pilot. We also plan to run this same study withpractitioners (after performing a pilot) to investigate if any differences exist between these twopopulations.AcknowledgementsThis work is supported by NSF Research in the Formation of Engineers [RFE DUE# 2113844,2113845, 2113846]. This work is also supported by the USDE Graduate Assistance in Areas ofNational Need (GAANN) Fellowship [P200A180055]. We would also like
collect participants’ biometric data(eye movements, pupil dilation, and EDA). Figure 1 describes the research design. Figure 1: Research Design of Study3.3.1. Programming Tasks: The two short programs that we are planning to use in this study arethe minimum sun and the rainfall problem. The minimum sum problem provides the program withan array of integers as input and adds the sum of all elements of the array and the minimum valueof the array. The rainfall program uses a sentinel-controlled while loop to read the integers(rainfall) as input and output the average of these integers. The sentinel condition stops takinginput when the user enters 99999. Additionally, the program excludes negative numbers whilecalculating
using a countersink in the design of the holes on the table.This allowed the lip to form, as it seemed to be part of the printing process, but kept the holeaccurate to the dimension that it was designed to be. After making this adjustment and keepingthe radius of the hole at 0.25 in. as originally proposed, the pulley started to work as planned andthe design was tested further. Multiple tests were done using the mass set and string to replicate2D and 3D equilibrium problems.In these tests, the shaft of the pulley bent with any mass hung. This threw off the accuracy of theproblems, as the pulley wheel was pulled closer to the origin and the string was rubbing upagainst the holes in the table. The initial idea to fix this was trying different
training The research question introduced in section 1.0 is addressed by consideringdemographic stratification and comparing responses. Additionally, we analyzed the datato identify any factors that are influential as it may relate to gender and being a memberof an under-represented group as compared to the general population. We also analyzedthe direct statement or a single word from participants describing their overall experiencein the National I-Corps training program. In this study, we have classified African-American/Black, Hispanic/Latinx, andNative American as minoritized populations (URM). We are planning to include Asianpopulations’ data in a subsequent study.4.0 Results There were one-hundred responses to the survey
personal lives. • Administrative Support: Faculty and teaching staff have been the focus during this transition to ensure that students are supported. Therefore, administrative personnel may choose to offer some course releases or flexibility in the research expectations, especially during challenging times. • Academic Adviser: Academic advisors also play a critical role in helping ease some of the stress students might have. This is because the advisors are a gateway into the courses and hence, they can provide some guidance to students as to which course is more demanding in terms of time and effort. This will allow students to plan their coursework especially if there are other underlying issues
polymorphic selectionmilestones. This seems to encourage the importance of emphasizing substitutability [19] as theprimary benefit of inheritance, rather than reuse of code.This work demonstrates both the viability and limitations of using whiteboard interviews as amethod to evaluate student comprehension with respect to design. Despite challenges, thisapproach offers a novel means of evaluation, creates an opportunity for industry partnership, andcan aid students in preparing for real interviews.The most pressing concern is to validate the three-level model. Original plans for a larger-scalereplication study have been hampered by the pandemic. Plans now call for two separateapproaches: semi-structured interviews with industry professionals, and the
abroad. Typically one or two students in each of the groups had not traveledinternationally at all. After the course and program concluded, the vast majority of students (i.e.,70%) did not participate or did not plan to participate in study abroad activities.Table 2: Summary of Student Perception of Instruction (SPI) Spring 2018 Spring 2019 Spring 2020 Course Course Course Dept. CECS UCF Mean Dept. CECS UCF Mean (7 Dept. CECS UCF Question Mean (5
Efficiency; ENT221, Nanoscale Engineering; ENT 622, Machine Learning for Materials Science in CleanEnergy; and DSA 621, Data Science Tools in Energy Engineering. Several teaching laboratorieswere improved with the addition of new equipment and computational software.Initial planning of this proposal called for the development of a certificate program in cleanenergy directed towards engineers employed by industrial partners. As the program developed,industry partners indicated preference for an advanced degree in lieu of an undergraduatecertificate, hence several courses were developed for graduate-level.Clean Energy Option of MS DSASignificant government and industry strategic investments are being targeted towards achievingrenewable energy
federally funded program created under a Title I landmark act [43]. However, the exact numberof migratory or seasonal farmworkers’ children is only an estimate as there is no centralizeddatabase of migrant children and at any given year a child can reside in two, three or more statesmaking it difficult to aggregate state data [43]. [Redacted institution] created a summer academy, in a virtual format due to COVID-19,that spanned four weeks in Summer 2021 for high school aged migratory students residing inArizona. The summer academy targeted migratory students, specifically those who were identifiedas “priority for services,” and who need the motivation to succeed in school and beyond. “Priorityfor services” is an action plan under the Every
Paper ID #36603Virtue in Engineering Ethics EducationKenneth McDonald Dr. Kenneth McDonald is a Professor of Engineering Management, Department of Systems Engineering, West Point. His academic focus is on capacity development, planning, and consequence management. He also studies engineering ethics and how it applies in today’s complex world. Dr. McDonald has authored and co-authored over 50 technical publications to include book chapters and refereed publications on infrastructure, capacity development, geotechnical engineering, engineering management, value modeling and ethics. He is also co-author of the recently
engineering information literacy, engineers' information-seeking behaviors, digital library, and information discovery.Weiling Liu Professor and Head of Ofce of Libraries Technology (OLT) at University of Louisville, Louisville, Kentucky, USA. She manages OLT, provides leadership and coordination on technology projects, including evaluation, planning, and implementation, and supports library systems and applications. Her professional interests include statistical analysis, information retrieval, access, systems integration, e-resources management, resource discovery, project management, and data management. © American Society for Engineering Education, 2022