this stage in the project, the authors’ objectives were threefold. The firstobjective was to assess if sophomore and junior students participating in the technicalintegrations of Capstone Design projects reported a better understanding of the technical aspectsof their respective courses (i.e. Fluid Mechanics or Heat Transfer) and gained an appreciation ofhow this material fit into the context of a larger design within the field of chemical engineering.Second, pertaining to the delivery of presentations within the introductory chemical andbiological engineering course, the authors wanted to determine if the presentations gave thefreshman students a greater understanding of the breadth of the chemical engineering discipline.A third objective
between the starting point and the endpoint.The challenge is how firm the decision has to be made at the onset. In this article we suggest arisk mitigation approach that offers a cost impact assessment of a wrong decision versus nodecision at all. The framework in Figure 1 illustrates the dynamics of the decision makingprocess and the need to know the uniqueness of each specific industry. When a decision isrequired it may be better to get on a trajectory that goes in the direction of the midpoint.Compute the cost of that trajectory rather than waiting until you have all the answers at the end.A system engineering and process management approach is taken to introduce the dynamics ofthe longitudinal dimension and offer risk mitigation along that
leadership and organizational change. The program consisted of atwo-day off-site residency to build cohort community, followed by an on-campus day-long event a monthlater focused on developing leadership clarity and personal leadership action plans. In between the twosessions participants worked on a personal leadership assessment project. While each of the classroomsessions had modules with distinct topics, the overall framework of the program centered on leadershipclarity, capability, and community. The program employed a mix of readings, case studies, groupactivities, and focused discussion. Application of the leadership content was geared towards the UDcontext.The first day of the off-site session began with introductions and a discussion about
disparities in both enrollment and retention, studies show that one of the issues faced by bothwomen and underrepresented minority students in Engineering and STEM is an unfriendly,unwelcoming “climate” for persons underrepresented in Engineering [8], [9], [10]. Interventions aimedat improving climate and creating a sense of belonging thus may contribute to the success and retentionof women and underrepresented students [11], [12].In 2008, the University of Wisconsin-Madison’s College of Engineering (CoE) participated in the PACEproject (Project to Assess Climate in Engineering), which primarily consisted of implementing a climatesurvey for undergraduate students in the CoE. The goal for participating in the PACE study was toidentify specific aspects
to investigatethe extent to which students receive the support institutions aim to provide. To date, researchconcerning the MCCS has identified six elements of institutional support: 1) academicperformance, 2) professional development, 3) faculty/staff interactions, 4) extracurricularinvolvement, 5) peer-group interactions, and 6) additional circumstances (for more details onthese dimensions see [1]). Although the MCCS provides a way to identify elements of supportconceptually, subsequent research is needed to measure these areas. Our work aims to addressthese gaps.Instrument DevelopmentThe goal of this research project is to develop and test the validity of an instrument grounded inthe MCCS framework that will assess the magnitude of
. Adam R Carberry, Arizona State University Dr. Adam Carberry is an associate professor at Arizona State University in the Fulton Schools of Engi- neering Polytechnic School. He earned a B.S. in Materials Science Engineering from Alfred University, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering Education respectively. His research investigates the development of new classroom innovations, assessment tech- niques, and identifying new ways to empirically understand how engineering students and educators learn. Prior to joining ASU he was a graduate student research assistant at the Tufts’ Center for Engineering Ed- ucation and Outreach.Dr. Nadia N. Kellam, Arizona State
for instructors to assess students’ learning and for studentsto guide their study. There have been numerous studies explaining how to design courseobjectives, as well as how to align teaching and assessing to course objectives43,44. Once theobjectives are done, the next step is to build the structural framework of the course. As illustratedin Fig. 3, this structural framework is generally composed 4-7 course objectives, each courseobjective is met by 2-3 module objectives, and each module objective is met by 3-5 knowledgepoints. If these objectives are mapped to a textbook, the course objectives may correspond tobook chapters, and module objectives generally correspond to book sections. In total, there canbe around 15-30 module objectives for
organizationand university. However, a foreign adversarial funding organization could place stipulations on how the programs or cen-ters function or install its own recruits in positions with little or no university oversight.ELICITATION of information about your research or work can come in many forms. A foreign adversary might try to elicit in-formation by using flattery, assuming knowledge, asking leading questions, claiming a mutual interest, or feigning ignorance.JOINT RESEARCH OPPORTUNITIES and collaborative environments, such as incubators or joint research centers, canenable a foreign adversary to obtain your research. They can also provide an opportunity to spot, assess, and befriendfellow STEM students or researchers who might assist—either
different conditions withdifferent exams, etc. The cohort examined here completed the digital systems design course withexam, project, and course scores reasonably identical to scores in the previous versions. Theinstructor’s observation was that the students in the class described here demonstrated abilitiesand knowledge equal to the students taught without LP in previous semesters. Other faculty havereported their sense of the students abilities in the topics and skills from the course to be similar.At the conclusion of the course, students were asked to respond to a self-assessment concerning awide variety of course activities. Survey questions were Likert-scale. Table 1 show the surveyquestion relevant to this paper
include information literacy instruction and assessment, the notion of threshold concepts, the effect a student’s emotional state has on their learning, and improving access to technical literature.Mr. Richard J Zwiercan, University of Nevada, Las Vegas Richard holds both a BA in Psychology and a MA in Counseling from Chapman University located in Southern California. In 2018, he obtained his MSIS degree from the University of North Texas, with a focus on archival studies/digital technologies, and Graduate Academic Certificate (GAC) in archival management. Richard is a long-term employee and supervisor within the UNLV University Libraries. He served as the Resource Sharing & Access Manager, leading the Interlibrary
University of Waterloo. His research areas are in cryptography, digital watermarking, and combinatorics. He is the PI for the NSF IUSE grant (NSF-DUE 1430398) for STEM retention, and the co-PI for the NSF Federal Cyber Service grant (NSF-DUE1241636) to create models for information assurance education and outreach. He is also the Project Director for Department of Education HSI-STEM Award P031C160080 (A Guided Pathway Solution to STEM Degree Completion), and two MSEIP awards. He has mentored various undergraduate student researchers as a faculty mentor for the LSAMP and McNair Scholars Program. He has extensive experience in curriculum assessment, undergraduate curriculum development, and student mentoring.Dr. Ronald
aforementioned implications for teaching determined by studying the benefits ofco-curriculars in computing 44,32,11,18,12 . Our day-by-day course schedule and sample activitiescan be found at http://people.cs.vt.edu/ maellis1/teaching resources/.4 ResultsAnecdotally, through student assessment, and via targeted survey questions, we have found thatwe accomplished our initial goals for the new version of this problem-solving course. We knowthe students obtained practical technical skills and that they improved their problem-solvingskills. They are motivated to engage in problem solving when it is hands-on with usefultechnology. Overall students increased their comfort in situations that require solving problemswith computer science.In the first two
methods in order tofamiliarize them with the tools/processes available, as well as develop an appreciation for utilizingmultiple processes for an end goal. Additionally, students engaged in an open-ended design projectthat required them to work in teams and practice the ability to assess and utilize rapid prototypingprocesses and select the optimal tool/process to fulfill a design purpose. Regular peer feedbacksessions were implemented within class discussions to provide students with a role-playingscenario where each team would serve as a “user” for another team to practice critical thinkingand learn to empathize with the end-user. This paper presents the lessons learned from the courseoffering along with guidelines to help readers create a fun
individual student meeting. The instructors were encouraged to keepthe conversation informal and to allow time for additional and unexpected conversational topics. Potentialconversation topics included course related topics (outcomes, project specifics, teamwork, etc.), sharing ofpersonal and/or education background, and discussion of department and college support resources. Facultymet with each student individually for up to 20 minutes in their office during the first two weeks of thequarter.Research Design, Data Collection & AnalysisThe two research questions assessed through this research were: RQ 1: How effective will small in-class interventions be on increasing the sense of belonging among engineering students? RQ 2: Is
may be experiencing sunny conditions. Therefore, the PV systems ina proximate geographic region may produce widely varying levels of output depending on localenvironmental conditions. To prepare for unpredictable cloud coverage and the widely-varying solar output thatresults from it, utility companies should assess options for how to best predict the solar energythat will be generated on their electric grid. As the penetration of solar energy has increaseddramatically, this has become a critical issue in many regions of the country. The methoddiscussed in this report evaluates the feasibility of virtually aggregating several residential-scalerooftop mounted solar PV systems together to decrease the variability in their combined
how I can become more involved in mycommunity”, “Have a better understanding of my role as a citizen”, and “Become more likely tovolunteer in the community in the future”, are on community engagement.The sixth statement in Figure 3, “Become more aware of some of my own preconceived ideasabout working with others”, is on personal growth.The last statement in Figure 3, “Consider taking more courses that include service-learning”, ison their future desire to do more service-learning or not.In Figure 3, one engineering student disagreed with all the questions, and we looked into theanswers by the same student in the open-ended questions and the instructor’s anonymousStudents Assessment Instruments (SAI) scores for the course.In the SAI course
to assess the effectiveness in producing more collaborativestudents. The results of the TKI were evaluated through a series of statistical tests. TKI paper-based questionnaires were distributed to 53 juniors over a four-year period for the threegraduating classes of 2016, 2017, and 2019. In addition, another 53 questionnaires weredistributed to the identical students while they were seniors. The TKI scores were tallied anddocumented in order to determine each student’s conflict management style during their juniorand senior years and then used to evaluate the changes in styles, as a collective student group.To accomplish this effort, five independent samples one-tailed t-tests were performed for eachTKI conflict style. First, the scores for
characterized by subjective, consciously perceived feelings of tension [16],[17]. In a study conducted at Cornell University, Schneider reported that 62% of engineeringstudents experienced anxiety over grades due to difficulty of the curriculum, prolonged studyhours, non-encouraging faculty, cultural and minority issues, expectation, and financial hardship[13], [14], [15], [18]. Numerous research efforts have simultaneously centralized on assessing testanxiety due to its relationship with performance measures [19]. Hembree, for instance, reportedthat high levels of test anxiety are negatively correlated with various cognitive components suchas IQ, problem solving, memory, aptitude, and grades [20]. These cognitive components have beenidentified by
intellectual progress in a discipline’snorms, such as ideation, building prototypes, collecting and assessing data, and iteration duringengineering design.ICAP. We refer to the ICAP taxonomy to inform the design of activities, components of theworkshop, which promote cognitive engagement [8]. ICAP establishes a hierarchy of activitytypes with respect to levels of this engagement, with interactive activities involving dialogue themost engaging, followed by constructive generation of knowledge through individual reflectionon or revoicing of content, active repetition of information verbally or through physicalmanipulation or verbatim notes, and passive receiving of information. The second column ofTable 1 assigns ICAP taxa to the components of this
-fall bridge experience and two common courses, was founded in 2012 and has beenoperating with National Science Foundation (NSF) S-STEM funding since 2016. Students whoreceived S-STEM funded scholarships are required to participate in focus groups, one-on-oneinterviews, and complete Longitudinal Assessment of Engineering Self-Efficacy (LAESE),Motivated Strategies for Learning Questionnaire (MSLQ), and GRIT questionnaires eachsemester.The researchers applied qualitative coding methods to evaluate student responses from focusgroups and one-on-one interviews which were conducted from 2017 to 2019. Questions examinedin this paper include:1) How would you describe an engineer?2) Please describe what you think an engineer does on a daily basis.3
best answer their research question, hypothesis, orpurpose of the study [1]. A mixed methods research methodology that a researcher may select isQ methodology. Q methodology is a social science research methodology focused onsystematically studying subjectivity utilizing both qualitative and quantitative researchtechniques [2]–[6]. While Q methodology has had limited use in engineering education research,it has been used in studies regarding the career paths of engineering education doctoral graduates[7], competencies for nanotechnology [8] and IT [9], curriculum design for information systems[10], construction engineering technology program assessment [11], and undergraduateengineering students’ out-of-class activities [12]. However, Q
orientation to complete theTime 1 survey and class time to complete the Time 2 and Time 3 surveys. Results are based onresponses from 1,211 freshman engineering students across two Cohorts (i.e., years of entry intoengineering).Cohort A consisted of 448 respondents (37.0%). Cohort B included participants who entered asfreshmen the following school year and consisted of 763 respondents (63.0%). Participants werelargely male (70.9%) and either White (57.7%) or Hispanic or Latino (22.4%) with a mean ageof entry into undergraduate studies of 18.29 (SD = 1.42) years.MeasuresParticipation in professional development activities for fall and spring semester of participants’freshman year in college was assessed through self-report at the end of the freshman
this program that wasoffered between Penn State and UNI last year. The article also reports the motivation behind theprogram revisions, the integration of SDG’s with Drawdown, and the strategy for obtaining theapproval and support of the university faculty. The assessment of newer hands-on projects addedto the program and future activities are presented. The impact of this program on students’professional growth and career development are discussed, as well.1. IntroductionThe concepts of global citizenship [1,2] and sustainability [3] are essential in transformingundergraduate education in the United States in order to handle the challenges of the 21st century.Indeed, Higher Education institutions need to identify, create, and provide
feedback from researchers regarding their changing needs and practices.Samuel and others analyzed twenty-nine data management plans (DMP), specifically related toNational Science Foundation grant proposals, to understand better, how faculty approach datamanagement. The results help librarians build a foundation for future DMP services [2]. Coatesand others examined five case studies that highlight common challenges for librarians to evaluateexisting research data services in academic libraries, and suggested that evidence-based approachprovides valuable information for assessing the still-emerging services [3]. Goben and Griffin’sstudy confirmed, “Researchers are most worried about storage, sharing, and issues that revolvearound longer term access
the decision: 1) grade-assessment on specific lab experiments, 2) excessive amount of inquiries regarding technicalcontent and learning outcomes of the manual, and 3) results of post-lab survey. Regarding surveyresults, a total of 64 mechanical engineering students (e.g., sophomores and juniors) participatedin an open-ended questionnaire in an effort to provide detailed information regarding the issuesassociated with the logistical structure of the lab, which procures a total of eight experiments: 1)electrical strain gage, 2) torsion test, 3) tensile test, 4) deflection of beams, 5) compression test, 6)plate-with-hole, 7) strain gage rosette, and 8) beam resonance. The survey question and open-ended responses are included subsequently. Pre
-specific content.The learning objectives for UNIV 1131 and their origins are shown in Table 1.The COE committee developed course content for fifteen 50-minute class periods to cover theproposed learning objectives. All class periods were designed to include active learning studentparticipation. A course materials packet was developed for each class period. The packetincluded daily learning goals and objectives, class preparation tasks, lecture notes and slides,active learning exercise instructions and materials, and assessment instructions.The committee believed that standardizing a course packet for each class period was necessarygiven the COE would be responsible for 35 sections of the course in the first semester it wasoffered. The hope was
program as long ashe/she is a full-time engineering student, maintains a cumulative GPA of 3.00 or higher,participates in at least two SPURS Workshops each semester, meets with their faculty mentor atleast two times a semester and COE academic advisor and career counselor at least once asemester. Proceedings of the 2017 ASEE Gulf-Southwest Section Annual Conference Organized by The University of Texas at Dallas Copyright © 2017, American Society for Engineering Education 2017 ASEE Gulf-Southwest Section Annual ConferenceTo assess the impact of the SPURS program, a questionnaire modified from Murphy et al.(Murphy et al. 2006) will be given to the students who
issue, especially as it applies to retaining studentswithin underrepresented minority groups. Specifically, the course utilizes active teaching andlearning methods that have shown to be especially effective not only for engineering students asa whole, but in encouraging underrepresented minorities to gain the knowledge and confidencethey will need to further their academic and professional careers. This presentation will comparethe student performance metrics for all participating student populations to assess theeffectiveness of this new class as it relates to underrepresented minorities.KeywordsDemographic study, SCALE-UP, active learningBackgroundUTA has created a new first year engineering course, named ENGR 1300 – Engineering
speaker from industry to talk about her career path/research interests and discussopportunities in Engineering. In addition, we will recruit current UIW female engineering Proceedings of the 2017 ASEE Gulf-Southwest Section Annual Conference Organized by The University of Texas at Dallas Copyright © 2017, American Society for Engineering Education 2017 ASEE Gulf-Southwest Section Annual Conferencestudents to volunteer at the camp as role models. Furthermore, we will implement morecomprehensive evaluation methods in order to assess the camp participants’ learning objectives.References1. White, J. L., and Massiha, G.H., “The Retention of Women in
University of Texas at Dallas,U.S.A. in 2006 and 2009, respectively. During 2002-2003, he worked for MindTree Consultingwhere he designed and developed enterprise data warehouse systems for Unilever. He internedwith the Human Language Technologies Group at IBM T.J. Watson Research Center, YorktownHeights in 2008. From 2009, he has been a part of The Center for Robust Speech Systems (CRSS)at The University of Texas at Dallas. His research interests include Automatic Speech Recognition(ASR), Automatic Accent Assessment, and Language Identification Systems. Dr AbhijeetSangwan is the Chief Technology Officer of Speetra Inc.