problem solving in multidisciplinary andinterdisciplinary teams. Undergraduate engineering students often are trained in disciplinaryconcepts and techniques of their specializations, but rarely given opportunities to reflect uponhow they work with collaborators. Here, we discuss a course that brings students fromengineering and non-engineering fields together to grapple with a technical and conceptualchallenge: designing and building drones for humanitarian purposes. This paper describes an“Engineering Peace” course and discusses preliminary findings from surveys, focus groups, andobservations regarding the course’s effects on students’ multidisciplinary and interdisciplinaryskills. This material allows us to analyze the emergence of professional
that emphasizes student discovery. Scholars are selectedannually based on academic ability and financial need. Faculty mentoring, tutoring, peer studygroups, college survival skills training, career development, and undergraduate researchexperiences are all tools to help the scholars. Some MEP Scholars are actively participating inthe following research projects: 1) Design and Development of an e-Health System, 2) Designand Development of an Electronic Health Records program, 3) Study of the Field Effect onCharge Transport through Conductive Polymers Injected in Vascular Channels of AngiospermLeaves, and 4) A 3D-printed desk organizer. In this paper, MEP Scholars briefly present theirprojects and share their thoughts and reflections about the
, we found that the patterns by gender reflect themesidentified in the literature for major preferences by gender. Zafar, for example, found that collegeaged women favored degree programs emphasized social responsibility, a concern for people andthe environment [15].Table 2: Analysis of students’ academic standing in the year following their departure fromengineeringColumn1 Women Men Count % Count %Not enrolled 205 16% 1733 20%Good Standing ProbationRemoved or Reinstated 28 14% 286 17%Switched Non Stem 92 7
multidisciplinary project presented in this paper brings together the fields of structuralengineering and computer science to address an existing shortcoming in seismic reconnaissance.Presently, expert engineers are required to manually filter and tag post-earthquake images ofdamaged civil infrastructure (acquired from engineering inspection teams or other formal/socialmedia platforms); the collaborative research team is attempting to automate these time intensiveand technically challenging tasks by developing a robust deep learning (DL) algorithm.The research team is based out of California Polytechnic State University – San Luis Obispo, apredominantly undergraduate public university located on the West Coast. As a reflection of thisacademic environment
programs will be covered.IntroductionMost degree programs that teach building engineering have design opportunities are often less thanideally constructed to reflect practical careers due to relatively few faculty members being trained, or theyhave no similar industry experience necessary to guide students [1]. Consequently in these settings, only asurface level understanding of their value is realized [2]. Many engineering students do not know how toapproach large complex systems due to their exposure to idealistic examples [3]. Additionally, they notcapable of providing critical multi-disciplinary integration of their designs due to the isolated nature oftopics in the classroom [4] [5]. Capstone courses provide a comprehensive evaluation of
InstitutionsTable 2 presents the mean responses for each scale (community, enjoyment, and value) at eachinstitution; possible values ranging from 0-4. For each scale, a 0 response would indicate theabsence of that scale, e.g. a score of 0 for Enjoyment would indicate that students found noenjoyment in their capstone projects. Similarly, a score of 4 for Community would reflect abelief that community service is extremely important. Scales that showed statistical differencebetween institutions are indicated with a **.Table 2: Overall response for Enjoyment, Value, and Community scales by institution Scale YCP Score Valparaiso Score Community** (p<0.001) M = 2.80±0.78
primarily for STEM students atcommunity and technical colleges. The responses from Honors students reflected afavorable experience toward history classes taken in secondary school and in the Honorsseminar. Several learners had AP history courses in high school, while one hadcompleted only an eighth grade world history class.The lone political science major was the most enthusiastic about studying history citingan “interest in colonization and how government originated…how political partiesoriginated and other areas such as finance policies, interest groups, and court cases.” Helisted a number of AP classes he took in high school in addition to history and politicalscience courses taken since he matriculated at TU.On the other hand, another student
participation equivalent to asingle 3 or 4-credit course. Building upon this credit structure, some academic units have establishedcredit-use policies that incentivize multiple semesters of participation in VIP [5]. However, whethercurricular incentives yield higher persistence has not been examined.The VIP model has been adopted by twenty-six colleges and universities, and at the Georgia Institute ofTechnology (Georgia Tech), additional departments continue to adopt and refine curricular policiesregarding the program. This expansion demands reflection on how policies affect student persistence inthe VIP program, and how other factors may contribute. We hypothesize that different Georgia Techcredit-use policies affect student persistence in different
, the VIP Program is intended forstudents of sophomore rank and above. Freshmen who participate are exceptions to the rule, who oftenhave related experience and high motivation. The higher means reflect these traits. If the programactively recruited freshmen, the mean would likely approach that of or be lower than the sophomoremean.Analysis of variance on giving help also showed statistical significance for the number of semestersstudents were in VIP, with groupings of one, two, and three or more semesters. However, VIP experienceis related to academic rank, as both increase over time. The correlation is not one-to-one, because studentscan begin VIP at any academic rank, but they are related. This can be seen by visually mapping upperoutliers