power utility as they began new jobs. The study is based on an inductive,qualitative design using semi-structured interviews with 12 newly hired engineers.A major milestone in the professional formation of engineers is the transition from student topractitioner—typically via employment into commercial/industrial organizations or other formsof employment [1]. Transitioning into a new job from school is an experience akin to crossing adistinct cultural boundary requiring one to transfer and/or translate one’s current knowledge andskills and learn new knowledge and skills [2]. For engineers transitioning from one engineeringjob to another the experience requires learning new cultural, social, political, and practical normswhich vary more or less
researchdesign will follow students over time to model changes in social psychological factors, thepreliminary analysis presented in this paper is limited to exploring how cross-sectional measuresof engineering identity, sense of belonging and career commitment captured early in anengineering student’s academic career are related to each other and to early educational successincluding retention to the next semester and cumulative GPA.Engineering identity, sense of belonging and commitment to careerThough identity has increasingly been theorized as a predictor of postsecondary STEM students’success and persistence, only recently have researchers begun to directly measure students’engineering identity [1]. Informed by Gee [2], Carlone and Johnson [3
-serviceteachers in a variety of engineering research opportunities through one the University ofDayton’s Engineers in Technical Humanitarian Opportunities for Service-Learning (ETHOS)Center which focuses on engineering and community engaged learning. This paper willsummarize the project, present observations from the spring participant sessions, and discuss theunique opportunities and challenges associated with involving teachers in internationalcommunity engaged learning.Introduction It is well established that the United States (US) has a need for enhanced participation aswell as increased racial and gender diversity in the Science, Technology, Engineering andMathematics (STEM) fields, particularly engineering [1-4]. Farinde, Tempest and
two semesters, andIE for one. While student feedback has been positive it was neither formalized nor quantified,which is the intent of our study.Background (of mentorship)Famous American philosopher William James exemplified his belief in mentorship with thestatement “act as if what you do makes a difference. It does.”(1). Capstone course is aboutproviding the student the learning opportunity to experience engineering in a culminatingexperience. Many program Capstone courses involve formal and informal faculty to studentmentoring. This has been shown to have positive effects on the students(2-5). Multiple studieshave identified faculty mentorship of capstone teams as an key element of capstone experience(6-8). Student peer to peer mentoring
-degree-of-freedom haptic interfaces have beendeveloped [1]. Because of cost consideration, these technologies have only found sporadic use ineducational research, for example, to demonstrate concepts in electromagnetism [2]. However,progress in the electronics and entertainment industry has led to the emergence of low-cost haptictechnologies such as 3D force feedback joysticks that are commercially available for about $300.With force capabilities exceeding 2 lbs and a refresh rate exceeding 1 kHz, these devices provideadequate performance to explore the application for educational purposes [3].Polymer science provides a particularly suitable context for the application of force feedbacktechnologies to improve learning. Polymer materials – when
on knowledge organization. A knowledge network based on theannotated graph approach to the organization of knowledge is presented in this paper. A bruteforce approach to tutoring learners with mastering a knowledge domain is also described. Theresults of student node tracking are also reported.Constructivist theory of education is to assist students with the construction of their ownunderstanding of a knowledge domain. Bruner [1] considered knowledge of a domain to beembedded in a structure and “grasping the structure of a subject is understanding it in a way thatpermits many other things to be related to it meaningfully. To learn structure, in short, is to learnhow things are related.” As stated by Montfort, et al. [2] these structures are
underlying goal of this work is to combine thetraditional knowledge-based curriculum with skills-based experiences to broaden students’horizons, while helping them develop transferable knowledge and skills. Skills-based learningalso opens up opportunities for hands-on learning in which experimentation plays a key role –also known as Experiment Centric Pedagogy. This is based on the idea that engineeringeducation should have plenty of activities that enable students to act like engineers.IntroductionEmerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Augmentedand Virtual Reality (AR and VR), and Autonomous Vehicles, among many others, haveincreased the global demand for skilled workers [1]. However, recent graduates
engineering from MIT (2007) and a master’s degree in systems engineering from the University of Virginia (2010). Alexandra comes to FIU after completing a postdoctoral fellowship at Georgia Tech’s Center for the En- hancement of Teaching and Learning (CETL) and three years as a faculty member at Olin College of En- gineering in Massachusetts. Alexandra’s research aims to improve the design of educational experiences for students by critically examining the work and learning environments of practitioners. Specifically, she focuses on (1) how to design and change educational and work systems through studies of practicing engineers and educators and (2) how to help students transition into, through and out of educational and
assistant labor can be the difference between positive and negativestudent experience [1]. In these courses in this department, most undergraduate TAs have beenobserved to volunteer many more hours than those for which they are paid. Some courses in thisdepartment have adopted the practice of having their undergraduate TAs volunteer for their firstsemesters before being promoted to paid positions. We present a pilot study consisting of five in-depth interviews with former undergraduate TAs, most of whom volunteered for at least onesemester, from an Introduction to Signal Processing course. The data collection is ongoing;therefore, our results are not complete. Some preliminary results have been identified throughmultiple readings for the axes of
and implement an innovative first year engineering program. Additional research in- terests include theory, philosophy, social science, workplace learning and performance, entrepreneurship, socialization, professional education, and organization studies. American c Society for Engineering Education, 2020 Work-in-Progress: Novel Ethnographic Investigations of Engineering Work PracticesIntroductionThere remains a limited amount of research on professional engineering work practices [1]. Thisdeficiency is troubling because engineering education is organized and reorganized based onclaims and assumptions about what professional
and neurovascular unit on a microfluidic device for complete model of brain tissueIn addition to lab work and weekly virtual and in-person cohort meetings to discuss researchprogress, IRiKA students have the opportunity to visit Korean government research institutionsand global leaders in the tech industry such as Samsung, LG, and Hyundai. The GlobalEngineering Center for Engineers in Korea (GECE) has committed to coordinate additionalenriching cultural activities.The schedule of the program is shown in Table 1.Professional DevelopmentOne of the distinguishing features of IRiKA is the professional development components tailoredfor both its US participants and Korean partners and the availability of follow-on projects tofoster continued
based on promising results in the literature related to thepotential impacts of various personality traits on engineering student success.A variety of personality tests and inventories are available to characterize individuals. Mosthave strong proponents as well as detractors. The Big Five personality inventory [1] appears tobe one of the most well-received, in large part because it does not classify respondents intospecific ‘boxes’ but assigns them a score along continua of behavior. Multiple studies haveinvestigated the potential links between personality traits and student success (e.g., [2-7]). Foruniversity students and engineering students, in particular, two of the five factors mostcommonly identified as related to student success are
scrambled out of order [1]. Students are tasked with placing the codesegments in order to recreate the original program. Research on Parsons Problems has suggestedthat completing these activities may have the same learning gains as writing code from scratch[2],[3], but with a reduced cognitive load that leaves room for learning [4]. They allow studentsto focus on the structure and logic of a program independent of the particulars of syntax. Someauthors have presented variations on the Parsons Problems, such as including incorrect orunnecessary code segments, called distractors [1]; providing a framework for the generalstructure of the code [5]; and using custom software to provide real-time feedback [6], [7].However, the use of Parsons Problems in
mentoring period. Skill development throughtraining and practice in the Cultivate ACCESS program provides industry partners overview ofcontent included in Cultivate ACCESS mentor training is provided in Table 1. Table 1: Overview of Mentor Training Module 1: Mentoring for 1. Key features of mentoring relationships Leadership Development 2. Mentoring versus coaching 3. Expected outcomes/impacts from mentoring relationships Module 2: From Mentoring 1. Investment relationships model to Investing 2. How to identify mentee’s talents 3. Impacting mentee self-concept through self-fulfilling
Institute 30 Years of service with the US Army. Retired as COL. 37 Years of services with the Federal Gover- ment. Retired as a Senior Excutive. Sevred as a sytems enginner. Focued on special operations and counterterrorism. Currently teaching Electrical Enginerring at VMI. American c Society for Engineering Education, 2020 Pedagogical Effectiveness of Continuous vs. Discrete User Interaction with Computer Demonstrations (Work In Progress)BackgroundComputer demonstrations and simulations are well-researched tools for teaching; resources suchas The Guide to Simulation Games for Education and Training have existed for half a century [1]and numerous
students successfully completingthe CRBP, it is anticipated that these students will continue to earn one badge per semesterachieving all eight NACE competency skills before graduation. Ultimately, the opportunities forstudents to develop soft skills in conjunction with a curriculum that instructs engineering corecompetencies is important for success in the professional realm.IntroductionUniversities are revamping their first-year engineering curriculum to feature high impactactivities promoting professional development (PD) [1–5]. Oftentimes, this comes in the formof long-term design project assignments or real world case studies [1–4, 6]. Even whenlogistical challenges are vast [7, 8], as in large lecture course (> 60), it has been of
active speaker, facilitator, teacher and advocate for both general and minority interests in STEM, customer empathy, innovation and design. American c Society for Engineering Education, 2020 Work in Progress: Project and Design-Based Introductory Engineering Course using Arduino Kits Demetris Geddis1, Brian Aufderheide1, Herman Colquhoun Jr.2 1 Hampton University, USA 2 IBM Canada LtdAbstractThis research is a “Work in Progress.” Currently, the retention rate for engineering
SemesterEngineering CourseIntroductionSpatial visualization skills are linked to success in chemistry, computer science, engineering, andmathematics [1,2]. Studies found that females, independent of racial and ethnic background,consistently lag behind males in measures of spatial skills[3]. Brus et al. found that femalestudents entering an engineering program report less confidence than male students in threecategories: career choice, scientific preparation, and their preparation of using graphical tools[1].The combination of a lack of confidence upon entry into an engineering program and low spatialvisualization skills, in comparison to male peers, may hurt retention efforts in the case of femaleengineering students[1,2]. Studies also found that students
shown that access to peer role models increases academicpersistence [1], [2]. It has also been shown that retention of URM and women is increasedthrough project-based learning or experiential learning pedagogies and techniques[3]-[10].Moreover, URM students often have a limited perspective of their contributions to improvingtechnology due to social issues such as a lack of exposure to engineering and science professionsand having personal role models in their local community who are scientists or engineers.Furthermore, when URM students enter STEM fields, many fail to see the connection betweentheir studies and real-world problems because gateway courses in current curricula fail to makethat connection explicit [10], [11
have long struggled to create inclusive and equitable learningenvironments, and many engineering administrators remain skeptical about the benefits of suchinitiatives [1]. Thus, most of such work has been spearheaded by administrative groups such asdepartments of Diversity and Inclusion and Gender Studies who typically seek to promote equitythrough changes to broader institutional culture [2-4]. Student classroom experiences, however,remain relatively neglected and thus such efforts rarely inspire STEM faculty buy-in.Consequently, students from historically underrepresented groups, especially students perceivedto have lower social capital than their peers, may still face disparities in their classroomexperiences, disparities that may include
programming.IntroductionAlthough most engineering faculty and professionals view computer programming as an essentialpart of an undergraduate engineering curriculum, engineering students do not always share thisviewpoint. In fact, engineering students outside of computer and electrical engineering may notrealize the value of computer programming skills until after they have graduated and advanced intheir career [1]. Failure to find value in computer programming may have negative consequencesfor learning. Indeed, engineering students who do not view programming as interesting or usefulshow poorer performance on tests of programming concepts than students who do [2]. This findingis consistent with theories of technology acceptance [3-4] that emphasize perceived usefulness
frequent in higher education,especially in engineering [1], [2]. Engineering is a profession guided by a code of ethics, yet theincidences of academic dishonesty in engineering students indicate that students are notpracticing the values that, per the code of ethics, practicing engineers ought to uphold. Previousresearch, such as [3], has also shown that there are differences in how cheating is defined, bothwithin a group of students, and when comparing faculty definitions to student definitions.Additionally, ongoing (though yet unpublished) research by the author and a colleague hasshown that student perceptions of and experiences with academic integrity change their first yearof engineering, with more lax definitions of what behaviors constitute
data for a planned multiple semester longer term project.This paper contains (1) motivation and goals for this work, (2) outcomes and learning objectives,(3) instructions on how to design this kind of assignment, (4) the video assignment write up, (5)the rubric for the video, (6) the rubric for peer feedback, and (7) the rubric for reflection. Thispaper focuses on the structure and instruments used during the course.About the CourseArtificial Intelligence (AI) is being used to tackle more and more of the real-world problemsaround us. EECS 4901 Special Topics: Introduction to Artificial Intelligence will introducestudents to the fundamentals of Artificial Intelligence (AI). During this course students will lookat various problems being solved
foreign. As has been seen at other universities, thiscontributed to students’ lack of engagement and dissatisfaction [1].Females and minorities are chronically underrepresented in engineering [2] and industry iscontinually calling for additional engineers [3, 4]. Extensive research has been done on ways toincrease student engagement and success in STEM fields [5-7]. The 2012 President’s Council ofAdvisors on Science and Technology report Engage to Excel lists these as strongly supportedpractices: small group discussion and peer instruction, testing, one-minute papers, clickers,problem-based learning, case studies, analytical challenges before lectures, group tests, problemsets in groups, concept mapping, writing with peer review, computer
to complete and understand the necessary courseworkthis is required in engineering, whereas if a male student fails a course he views it as he needs towork harder for next time. This lack of confidence in female students causes them to leave themajor17.In keeping with the above considerations, a study was undertaken at this university with thefollowing goals (1) to find the factors that help recruit women engineering students, (2) toidentify the challenges and barriers being faced by female students working in multidisciplinarynon-female dominated teams engaged in project-based learning activity18, (3) to find acorrelation between their experiences and their underrepresentation and/or retention in theengineering field. The overarching goal
to career aspirations and preparation,offering university stakeholders information to develop interventions to help students in theirtransition to the workforce.IntroductionThe transition from college to the workforce is a critical period for supporting the early careerretention of a diverse workforce in the engineering field. Prior to students’ transition to theworkforce, their socialization into the engineering profession can be shaped by extracurricularinvolvement [1]. Extracurricular involvement informs students’ early career experiences andsocialization, which strongly influences retention in engineering careers [2], [3]. Extracurricularinvolvement comprises a large portion of undergraduate engineering students’ time during college[4
qualitative process or list of best practices for setting upsimilar collaborations in diverse settings. The purpose of the specific collaboration betweenEngineering and Mathematics at our institution is to: 1. Investigate pre-existing faculty biases on why students found it difficult to transfer knowledge between different fields; 2. Develop a systematic approach to collaboration between the two departments that will lead to a better understanding of the difficulties faced by our students and thus to continuous improvement of both the Engineering and the Differential Equations courses; 3. Provide a “roadmap” that will enable other disciplines within VCU and other universities to develop similar collaborations between their
Paper ID #28293Testing an assessment of problem-solving in introductory chemicalprocess design courses (WIP)Dr. Eric Burkholder, Stanford UniversityProf. carl e wieman American c Society for Engineering Education, 2020 Testing an assessment of problem-solving in introductory chemical process design courses (WIP)Introduction:Problem-solving is consistently cited as one of the most important outcomes of an undergraduateeducation in engineering [1-3]. While it is generally held that scientists and engineers are trainedto be good problem-solvers, there is very little
, both in formal and informal learningenvironments.1 YouTube in particular has been in use for more than a decade in college and highschool classes, either for dissemination of the instructor’s teaching or as a supplemental learningtool.2,3 Instructors have the options of directly integrating the videos into the classroom as part ofa lecture, or using them as a reference for students to review on their own.4 Videos have been shown to be effective learning tools given the potential combination ofvisual imagery, music, text, audio, and/or content.5 Visual-spatial learners are particularly likelyto benefit from video, as they would from photographs or other artistic mediums.6 Videos havebeen effectively utilized in a broad range of subjects
Development and Implementation of Self-Reflection Participation Logs in an English-taught Engineering Program in ChinaKey Words: Participation, Student Engagement, China, Assessment Methods, Teaching AbroadIntroductionActive student participation has been correlated with a variety of positive outcomes includingimproved critical thinking, development of important professional skills (includingcommunication and interpersonal interaction skills), increased understanding of course material,and better academic performance across diverse disciplines, including engineering [1]–[5]. Putsimply by Weaver and Qi [6], “students who actively participate in the learning process learnmore than those who do not.” In order to