problems while being mentored by moresenior engineers, faculty or graduate students should take on roles as practicing engineer 13 14mentors. They could also take on roles as mock clients where actual clients are not available.This type of learning needs to move beyond the senior design seminar and become a greaterportion of learning throughout undergraduate education. Additionally, faculty members need to explicitly connect learning about propercommunication to engineering courses. There should not be an assumption that these skills willbe sufficiently learned in communications courses that are
students. The NSF Research Experiences for Teachers (RET)program supports collaboration between colleges and universities and K-12 teachers orcommunity college faculty by providing funding for their participation in engineering research.The RET proposal solicitation2 asserts that, “Encouraging active participation of teachers in NSFprojects is an excellent way to reach broadly into the teacher talent pool of the U.S. so that theycan teach engineering concepts to K-12 students to encourage and stimulate them to pursueengineering careers.” RET awards are made through two mechanisms: RET site grants, whichprovide a research experience to a cohort of in-service or pre-service teachers, and RET
AC 2011-1416: RETENTION: QUANTIFYING THE APPLES AND OR-ANGESThomas F. Wolff, Michigan State University Dr. Thomas F. Wolff is Associate Dean of Engineering for Undergraduate Studies at Michigan State University. In this capacity, he is responsible for all activities related to student services (academic ad- ministration, advising, career planning, women and diversity programs, etc.) and curricular issues. He is principal investigator on several NSF grants related to retention of engineering students. As a faculty member in civil engineering, he co-teaches a large introductory course in civil engineering. His research and consulting activities have focused on the safety and reliability of hydraulic structures, and he
the natural sciences, math and technology. During these years Lena developed her pedagogical skills and competence in the pedagogic field and besides leading the activities she organised pedagogical training for teachers, pupils and university students. Between 2011 and 2016 Lena was the head of the new Department of Learning at the School of Education and Communication in Engineering Sciences (ECE), KTH. Lena was then responsible for building up a new strong research environment in engineering and technology education, K-12 to university level. 2016-2017 Lena was the Dean at the ECE school at KTH. As this School was merged with another School in 2018, from January 2018 Lena has a research position as an
-Hulman Institute of Technology, a M.S. in Bioengineering and Ph.D. in Engineer- ing and Science Education from Clemson University.Dr. Allison Godwin, Purdue University, West Lafayette (College of Engineering) Allison Godwin, Ph.D. is an Assistant Professor of Engineering Education at Purdue University. Her research focuses what factors influence diverse students to choose engineering and stay in engineering through their careers and how different experiences within the practice and culture of engineering foster or hinder belongingness and identity development. Dr. Godwin graduated from Clemson University with a B.S. in Chemical Engineering and Ph.D. in Engineering and Science Education. She is the recipient of a 2014
writing, and those pursuing careers in industry are equally unprepared for thegenres of writing required in the workplace. Prior work in engineering writing by the authors andothers study writing in a “static” context: That is, final documents are analyzed in order tounderstand argumentation structure through a genre lens. Other work has sought to understand theways in which writers may struggle with the writing process from an affective dimension.However, very little is known about the cognitive patterns of engineering writers writing inauthentic disciplinary contexts.In this paper, we present the methodological approach and data visualization of time-resolvedwriting data. For the purpose of this paper, we focus on one graduate student, Fred, as
them to drawconclusions at multiple levels of analysis: 1) the underlying biophysical substrata of the cognitive systemand 2) how students are experiencing and regulating their emergent emotional states. Similar to the Lorenz system example, Hilpert and colleagues (2013, 2014) have used differentialequation modeling to produce simulations of how students plan for a future career in engineering as theyenter young adulthood. Their work is an example of how dynamic modeling can be used to examinestudents planning, self-regulation, and problem solving. They integrate interviews, surveys, and studentdrawings of timelines of their lives to produce dynamic models for how students’ goals shift with regardto 1) what they value in the future
of Making and Risk Taking.” He was named one of ASEE PRISM’s ”20 Faculty Under 40” in 2014, and received a Presidential Early Career Award for Scientists and Engineers from President Obama in 2017. Dr. Jordan co-developed the STEAM LabsTM program to engage middle and high school students in learning science, technology, engineering, arts, and math concepts through designing and building chain reaction machines. He founded and led teams to two collegiate Rube Goldberg Machine Contest national championships, and has appeared on many TV shows (including Modern Marvels on The History Channel and Jimmy Kimmel Live on ABC) and a movie with his chain reaction machines. He serves on the Board of the i.d.e.a. Museum in
information gathering. Pertaining to thisgap between academia and industry, research is needed to explore characteristics of the problemsolving approaches of students and professionals to better understand what factors may influencethese approaches, and to gain insight into how to better teach undergraduate students how tosolve ill-structured problems. In order to extend the analysis of problem solving approaches to alarger group of participants, this study examines faculty members as well as students andpracticing engineers. It is hypothesized that these three groups of participants will differ bothquantitatively and qualitatively in their problem-solving processes.III. Methodology In this study, we plan to conduct a comparative analysis of
essentially left to me and oneother person which made it extremely stressful and difficult to get the project done”)(Student D in EDC). Others conveyed more enthusiasm about their team interactions(“Everyone on the team did an absolutely fantastic job, and really pulled their weight! Itwas a pleasure working with everyone, and I learned so much from everyone”) (StudentB in MI).In general, some faculty members expressed their skepticism about the students’understanding of teamwork (“Some students do not understand the real value of a team,they think it is something similar to a study group”) (Instructor in MI). Others explainedthat high-achievers immediately establish a performance hierarchy based on each teammembers’ skill and ambition that can often
hard data from their own students. Therefore, the goals of the workshop design were to guide North Carolina A&T faculty in gaining: 1) an understanding of three findings from a large-scale study of the engineering student experience; 2) an awareness of the types of decisions explicitly and implicitly made in teaching; and 3) an appreciation of the implications of research findings for their own teaching. In an effort to promote faculty buy-in for the workshop, several months before the scheduled event the entire faculty was introduced to the agenda of the planned workshop which consisted of a presentation of findings, followed by general discussion and small group work to explore
advising, career guidance,and faculty support are frequently reported by students who leave an engineering program(Seymour et al., 1997, Meyer et al., 2014). Regardless of these challenges it is important forengineering programs to be aware of these realities when developing and implementing retentioninitiatives.Temple University’s Project SOARTraditionally, Temple University has responded to the issue of low rates of success and retentionin its engineering courses and programs by providing support interventions for strugglingstudents. In fact, at Temple we have robust student support services, including tutoring, examreview sessions for select courses, peer assisted study sessions, coaching on academic skillsdevelopment, a writing center, and
collecting more data about our respondents (demographics, etc.).The research team next worked to develop response options for all draft scenarios, country-by-country. This typically involved sending a batch of 3-5 scenarios, along with the associatedopen-ended novice and expert responses, to a pair of researchers, including undergraduatestudents, graduate students, and faculty members. Those involved with this project have typicallyworked individually and then in pairs to analyze scenarios and write response options. Early inthis process we also realized that the scenarios and response options could usually be viewed interms of three major considerations: cultural knowledge, domain/technical knowledge, andcultural sensitivity. This insight was
engaging industry to guide the department’s professional formation efforts to prepare students for an increasingly global profession. Le- land holds a Bachelor’s of Science in Organizational Communications and Marketing from the University of Central Missouri.Mrs. Olivera Notaros, Colorado State University, ECE Department Olivera Notaros has finished undergraduate and graduate studies in the Electrical and Computer Engi- neering Department in Belgrade, Serbia. She has held different university teaching positions since 1990. She is currently Adjunct Faculty and Head of Senior Design in the ECE Department at Colorado State University in Fort Collins, Colorado.Mr. Richard F. Toftness, IEEE High Plains Section Richard
, Universidad EAFIT, Medellin, Colombia - Purdue University, West Lafayette ´ Juan David Ortega Alvarez is an assistant professor at Universidad EAFIT and served as the Head of the Process Engineering Department from 2010 to 2014. He holds an MS in Process Engineering and Energy Technology from Hochschule Bremerhaven (Germany) and is currently enrolled as a graduate student in the Engineering Education Doctoral Program at Purdue University. Before his full-time appointment with EAFIT, he served as Engineering Director for a chemical company for 7 years. His research interests are focused on the practice and teaching of process design, simulation and control and also on faculty and institutional
[7]. TheCommunity of Inquiry Framework [11] uses social constructivism to outline three importantcomponents within online courses that contribute to student development and learning: socialpresence, cognitive presence, and teaching presence. Social presence can be defined by theability for group members to project themselves socially and emotionally, as “real” people (i.e.,their full personality) [11]. Cognitive presence is the act of constructing meaning throughsustained communication and is often developed through significant social presence [11]. Thethird component is teaching presence, which is how instructors design educational experiences tofacilitate social and cognitive presence [11]. These theories framed our methods and
Paper ID #19667Engaging Engineers in Inclusive Cultural Change Through a New Method,Articulating a Succinct DescriptionEmily E. Liptow, California Polytechnic State University, San Luis Obispo Emily Liptow is an AmeriCorps VISTA member at California Polytechnic State University in San Luis Obispo. She is involved with a variety of diversity and inclusion efforts in the College of Engineering ranging from student support programs, faculty bias awareness trainings, and inclusive cultural change. She is a recent Industrial and Systems Engineering graduate from Ohio State University, where she was also very involved with
factors that influence their tendency to quit orstay in EER. Page 23.1110.2However, it has never been fully explored as to why among these newcomers, some eventuallybecome active contributors and even key players in the EER community, whereas some otherresearchers decided to opt out. Scholars’ decisions of whether to continue to pursue EER may beinfluenced by many factors such as faculty recruitment and reward standards, scholarlycollaboration, time limitation, funding support, awareness of EER fundamentals, andinterdisciplinarity3, 4. In this paper, we aim to provide an overview of scholar retention in EERand compare the academic profile of new
AC 2011-1489: EARLY ENGINEERING INTERESTS AND ATTITUDES:CAN WE IDENTIFY THEM?Karen A High, Oklahoma State University KAREN HIGH earned her B.S. from the University of Michigan in 1985 and her M.S. in 1988 and Ph.D. in 1991 from the Pennsylvania State University. Dr. High is an Associate Professor in the School of Chemical Engineering at Oklahoma State University where she has been since 1991. Her main technical research interests are Sustainable Process Design, Industrial Catalysis, and Multicriteria Decision Mak- ing. Her engineering education activities include enhancing mathematics, communication skills, critical thinking and creativity in engineering students and teaching science and engineering to education
AC 2012-4530: USING WRITING ASSIGNMENTS TO IMPROVE CON-CEPTUAL UNDERSTANDING IN STATICS: RESULTS FROM A PILOTSTUDYMr. Chris Venters, Virginia Tech Chris Venters is a Ph.D. candidate in engineering education at Virginia Tech. His primary research in- terests involve studying conceptual understanding among students in early undergraduate engineering courses. He received his B.S. in aerospace engineering from North Carolina State University and his M.S. in aerospace engineering from Virginia Tech.Dr. Lisa D. McNair, Virginia Tech Lisa McNair is an Associate Professor in the Department of Engineering Education at Virginia Tech, where she also serves as Assistant Department Head for Graduate Education and co-directs the
' personal information was encrypted or removedfrom public view, without data distortion [23].Responses obtained from these instruments were compiled in electronic spreadsheets andanalyzed using Excel statistical modules. Variables such as response mode and frequency wereconsidered within the questions. The decision to work with descriptive statistics was based onthe objective of characterizing the general response of the students to the innovation proposal. Ifit is positive, as expected, incorporation is planned in an experimental study to determine theimpact on student performance.Data analysis and resultsStudent Satisfaction with Educational PodcastsAll 53 students in the course were asked to participate in the poll, 46 answering the
student learningthrough practice of freehand sketching in perspective.While many educational drawing tools have been explored with great potential to improve drawingself-efficacy, few studies have tried to measure student’s self-efficacy in their drawing ability in atruly comprehensive and quantitative manner that can be replicated in other studies.MethodsA. Instrument DevelopmentAccording to Fabrigar, the soundness of the items that are included in an instrument have an im-portant role in utilizing the results obtained from Exploratory Factor Analysis (EFA) [29]. TheDrawing Self Efficacy Instrument (DSEI) consists of 13 items that addresses four areas of Draw-ing efficacy. The DSEI was reviewed by an experienced designer and drawing instructor