. students involved are exposed mostly to the practice ofprofessionals in industry and other universities, not with those in government.Collaborator InteractionsThe interaction among the collaborators also plays a role in the engineering Ph.D. studentresearch experiences. For example, the collaborators’ interaction frequency affects the type ofrelationship that faculty and students develop with collaborators, and tends to be in one of thethree categories: infrequent, intermittent or recurrent [42]. Research with industry partners,including ERCs, tends to have more frequent and deeper relationships [6, 43]. Theserelationships are often attributed to the fact that many of the industrial firms want to hire studentsafter graduation [44]. Typically
management.Ms. Jennifer Nichwitz, University of Dayton I am currently an Industrial Engineering Technology student at the University of Dayton. I have com- pleted coursework in topics such as project management, engineering analysis, and human factors in manufacturing. My past professional experiences have included a cooperative education at an automo- tive manufacturing facility and an internship at a sustainable technology start-up in South Africa. During my time at the University of Dayton, I’ve participated in collaborative online learning classes with inter- national universities and had the privilege of working with Professor Appiah-Kubi on his research into online collaborative learning techniques
. IntroductionThis evidence-based paper assesses strategies for Research Experience for Undergraduates(REU) social program success. REU programs typically bring together students from across thecountry – or even around the world – to a university campus for the summer. While at thisuniversity, the students learn how to conduct real research in their discipline by actually doing it,under the supervision of a faculty mentor. Giving students exposure to conducting bona fideresearch allows them to determine whether they may be interested in pursuing a research career(and, to support this, continuing on to graduate-level education).Many students who participate in REU programs remember these programs long after theprogram is complete. The initial experience
sustainable exchangemechanism for people-to-people and cultural exchanges in the engineering technology field,and the failure of the exchanges to effectively interact among university-industry’ platformsas well as universities are weak in helping enterprises to promote Chinese engineeringstandards. Therefore, we propose a bilateral and multilateral mixed exchange mechanismwith government-led and multi-agents’ participation, integrating platform resources amonguniversity-industry, strengthening the promotion of China’s engineering standards, andimproving and studying China’s engineering standards.INTRODUCTIONInterconnection, production capacity cooperation, and people-to-people and culturalexchanges are the three pillars of the Belt and Road
, research practices of engineering schol- ars, and how libraries can reshape their services in the world of information overload.Dr. Kate Mercer, University of Waterloo Kate Mercer has been the liaison librarian for Systems Design Engineering, Electrical & Computer Engi- neering and Earth & Environmental Sciences at the University of Waterloo since 2015. Kate’s main duties include providing instruction and research services to students, faculty and staff. Kate graduated with a MI from the University of Toronto in 2011, andcompleted her PhD at the University of Waterloo’s School of Pharmacy. Most of Kate’s publication history revolves around how health and technology interact, and her primary research focus is on
Paper ID #29977Student Perspectives on Navigating Engineering PathwaysDr. Atsushi Akera, Rensselaer Polytechnic Institute Atsushi Akera is Associate Professor and Graduate Program Director in the Department of Science and Technology Studies at Rensselaer Polytechnic Institute (Troy, NY). He received his M.A. and Ph.D. in the History and Sociology of Science, University of Pennsylvania. His current research is on the history of engineering education reform in the United States (1945-present). He is a the current Chair of the ASEE Ad Hoc Committee on Interdivisional Cooperation; Chair of the International Network for
mental models [18]; Understanding [17]. Adaptation4.3.1 Dimension #1: IdentificationCDTL’s identification dimension assesses students’ readiness for team formation, which iscritical to the successful completion of the project and the maximization of team learning [23].Self-assessment of self-regulation strategies is the building block of this dimension.4.3.2. Dimension #2: FormationIn this CDTL dimension, team members start to participate in a cooperative and collaborativeprocess of team formation and functioning [18]. The team members move from individualproject goals to defining team goals, and as such, utilize the expertise of individual teammembers toward project work. Many constructs are used by researchers to measure thisdimension
ineffective communication, though she was aware of benefits of teamwork. Thus,more attentions are needed to explore the reason behind those situations and to provide possiblestrategies for both students and engineering staff to optimize current PBL design and improvestudents’ learning experience and outcomes.In this pilot study, we adopted both focus group and individual interviews to collect qualitive data.Though limited data we had, we still see the difference between these two data-collecting methodsbased on researchers’ self-reflection and data analysis. In the case of the focus group interview,students in one group could inspire each other when answering the interview questions. For example,when they were asked more abstract questions like “in
environments. She has taught technology integration and teacher training to undergrad- uate and graduate students at Arizona State University, students at the K-12 level locally and abroad, and various workshops and modules in business and industry. Dr. Larson is experienced in the application of instructional design, delivery, evaluation, and specializes in eLearning technologies for training and devel- opment. Her research focuses on the efficient and effective transfer of knowledge and learning techniques, innovative and interdisciplinary collaboration, and strengthening the bridge between K-12 learning and higher education in terms of engineering content.Dr. Michelle Jordan , Arizona State University
responsibilities", Springer International Publishing, 2015.[13] S. DeChenne, N. Koziol, M. Needham, and L. Enochs, "Modeling Sources of Teaching Self- Efficacy for Science, Technology, Engineering, and Mathematics Graduate Teaching Assistants", CBE—Life Sciences Education, vol. 14, no. 3, p. ar32, 2015. Available: 10.1187/cbe.14-09-0153.[14] S. Shehab and E. Mercier, Exploring teaching assistants’ framing strategies of collaborative problem-solving engineering tasks: Learning Sciences Graduate Student Conference, October, 2018, Nashville, Tennessee.[15] E. Mercier and S. Shehab, Adaptive expertise in the teaching of collaborative problem solving in undergraduate engineering courses: American Educational Research
[16, 17]. Cognitive modeling occurs when instructorsverbalize their thought process as they perform a task [18]. Schunk argues that "Modeling informsand motivates. Models provide information about what sequence of actions will lead to successand which actions have undesirable consequences. Models can raise efficacy among observerswho are apt to believe that they, too, will be successful if they follow the same behavioralsequence" [19]. Schunk found that modeling strategies for understanding a text led to improvedreading and writing [20]. While graduate students are likely to be strong readers, those who arenew to research may be unfamiliar with the genre of scholarly research communication and thusmay need guidance in how to approach reading
courses and continuing his dissertation research in cyber security for industrial control systems. In his teaching, Dr. Hieb focuses on innovative and effective use of tablets, digital ink, and other technology and is currently investigating the use of the flipped classroom model and collaborative learning. His research in cyber security for industrial control systems is focused on high assurance field devices using microkernel architectures. c American Society for Engineering Education, 2020 Predictors of First-Year Retention among Undergraduate Engineering Students Who Earned a C in their First-Semester Mathematics CourseAbstractThis Complete
, NRC, NASA and NSF, and generated over 50 journal and conference papers.Dr. Showkat Chowdhury, Alabama A&M University Dr. Showkat Chowdhury is a Professor in the Department of Mechanical Engineering at Alabama A&M University in Huntsville, AL. Dr. Chowdhury has extensive background in teaching undergraduate and graduate students in Mechanical Engineering, and performing research in the fields of Computational Fluid Dynamics, Pedagogy, Renewable Energy, Nano-Technology, Heat & Mass Transfer, and Com- bustion. He is managing multi-million dollar external research grants from NSF as PI. Previously, he worked as a Professor at Bangladesh University of Engineering & Technology (BUET) and at University
research varies fordifferent groups of students.ResultsSurvey RespondentsThe Undergraduate Research Experiences Survey (URES) was administered to allundergraduate students enrolled in the School of Engineering and Applied Science at UVA.The response rate was 28% (n = 769). Respondents were evenly divided among class yearsand representative of the school’s demographic makeup with respect to age, genderidentification, race, ethnicity, first-generation status, and distribution of students amongmajors. In addition to their primary majors, 3% of respondents were completing a secondengineering major, 9% had a second major outside engineering, and 38% had at least oneminor. Most students (67%) planned to pursue a job as an engineer after graduation
their schoolterms. Also, different disciplines were asked to discuss which skills they found their specificprogram gave more or less focus to, to understand the underlying theme of the program.3. Results3.1 Mechanical engineering focus group This focus group consisted of 5 upper year students. 3 participants had completed theco-op program through the school and the other 2 did internships external to the school. Onlyone student applied and got their position through the co-op portal, while the other studentsusing their personal connections. The reasons for not participating are not explored in thisgroup. Regarding work fields, multiple students mentioned the heavy focus on research anddata analysis during their work term. There was also
of New Mexico. Her research interests focus on computer-supported collaborative learning, learning sciences, online learning, and educational equity for multicultural/multiethnic education.Dr. Pil Kang, University of New Mexico Sung ”Pil” Kang is an assistant professor at the University of New Mexico. His academic interests include change management, change model validation, and mindset evolution. He may be reached at pilkang@unm.eduKristen Ferris, University of New Mexico Kristen Ferris is a doctoral student at the University of New Mexico’s Organization, Information, and Learning Sciences program. Her research interests include change management and organizational citi- zenship behavior. She also is staff at
to grow at a faster rate than the demand for qualified graduates inother occupations. Despite the value and increasing necessity of STEM skills within today’ssociety and the 21st century workforce, substantial numbers of Americans still do not have equalaccess to postsecondary STEM education and, thus, have limited opportunities for STEM-relatedemployment and careers [4].Along with unequal access to STEM degree programs, researchers report stark differencesbetween traditional and nontraditional undergraduate enrollment and degree attainment in STEM,wherein nontraditional students consistently fare worse. Chen and Weko [5] found it was atypicalfor students who were older, financially self-supporting, or from low socio-economicbackgrounds to
experience as a project manager in multiple building construction projects. Dr. Kermanshachi has con- ducted several research projects which were awarded by Texas Department of Transportation (TxDOT), National Cooperative Highway Research Program (NCHRP) and Construction Industry Institute (CII). Dr. Kermanshachi has received several prestigious national and regional awards, including the American Society of Civil Engineers (ASCE) Professional Service Award, ASCE Excellence in Education (Ex- CEEd) Fellowship, Aggies Commit to Professional Student Educational Experiences, Graduate Teaching Lecturer Fellowship, and Climate Award. She was also the only academic recipient of the Texas and Louisiana Engineering News Record
Smart Environments for assisted living: a multidisciplinary collaboration in engineering and architecture educationAbstractThis paper presents a description of a collaborative project-based on the integration oftechnology development in the built environment for assisted living. The multidisciplinarycollaboration is developed as a cooperative commitment to provide support for cross-border,collective projects. It was initiated as a project based learning setting between undergraduateengineering students, and four years later the program shifted to include undergraduatearchitecture students and engineering master’s students. The learning experience opens the gateto a completely new collaborative setting, yet to be established
. Trinidad Sotomayor, Pontificia Universidad Cat´olica de Chile Trinidad is an Engineering Design Master Student at Pontificia Universidad Cat´olica de Chile (UC). She owns a bachelor degree in mechanical engineering with a major in Design and Innovation. At DILAB (UC), the engineering design initiative, Trinidad has been working as a researcher in topics regarding engineering education such as entrepreneurship, epistemologies and minorities, among others. c American Society for Engineering Education, 2020Work in Progress: Developing a more comprehensive instrument to assess theentrepreneurial mindset of engineering studentsAbstractThis is a Work in Progress: Goals of becoming more entrepreneurial have
positiveattitude during their collaboration activities. The data set was provided by the Shark Lab at CSULong Beach and we gratefully acknowledge the support we received from the shark expertsthere, in particular the director, Dr. Chris Lowe, and Graduate Student, Patrick Rex. References1. M. LaalSeyed, and M. Ghodsi (2012) “Benefits of collaborative learning” Elsevier Proceedings - Social and Behavioral Sciences, Volume 31, Pages 486-490.2. E.F., Barkley, K.P. Cross, and C.H. Major (2005). Collaborative learning techniques: A handbook for college faculty. San Francisco: Jossey-Bass.3. D.W Johnson, R. Johnson, and K. Smith (1998). Active learning: Cooperation in the college classroom. Edina, MN: Interaction Book Company.4. D. Kantor (2010
integrationof students is pivotal in their ability to persist to graduation [1]. The theory of socialinterdependence [2], [3] elaborates that inclusive, cooperative work is characterized by studentsbeing highly committed. During the Fall 2017 semester of Purdue Polytechnic Institute’sintroductory video game development course (CGT Game Dev I), a course design emphasizingcollaboration among students was employed; an extremely collaborative atmosphere and anunusually high lab attendance rate was then observed. The following year (Fall 2018), the designof CGT Game Dev I was altered to emphasize a more individualized curriculum; decreasedattendance was then observed until end-of-semester groupwork began [4].The problem addressed by this project is that
Computer Science Department at Forman Christian College (A Chartered University) at Pakistan for eight years and was recognized for outstanding teaching with the year 2013 teaching award. Saira was also the recipient of the ”President of Pakistan Merit and Talent Scholarship” for her undergraduate studies.Dr. Muhsin Menekse, Purdue University-Main Campus, West Lafayette (College of Engineering) Muhsin Menekse is an Assistant Professor at Purdue University with a joint appointment in the School of Engineering Education and the Department of Curriculum and Instruction. Dr. Menekse’s primary research focus is on exploring K-16 students’ engagement and learning of engineering and science con- cepts by creating innovative
sandwich (cooperative) principle of integrated periods of study and trainingin industry. The most popular was six months in industry followed by six months in collegein each of four successive years [4].A requirement of the NCTA was that all students for their diplomas should have participatedin programs of liberal study. This was reinforced in 1957 by a government edict that extendedthe idea of compulsory liberal studies to all levels of technical education even though muchof it was part time study [5]. By 1962 it was seen that the development of literacy, that is theability to read and write, was essential for the general education of all students. Thus, it wasthat in those colleges the term Liberal Studies came to be substituted by General
manipulation and hands-on examination, such as labpractice and experimentation, so far, have been difficult to replicate in the online learningenvironment (OLE) [15]-[17]. Additionally, a new generation of ‘digitally native’ students maydemand more interactivity and involvement [18]-[22] than what online education has providedthus far.To foster greater student engagement while also accounting for individual learner differences andaddressing some of the challenges of the distributed learning environment, a variety ofapproaches have been suggested, ranging from collaborative environments [9],[23],[24] overproblem-, project-, situation-, or inquiry-based learning [25]-[27] to gamifications [6],[28]-[32]1The term self-engagement was introduced by [42] to
researchers, the amount of storage space was not the issue of concern, but rather it wasthe organization of the datasets that posed a logistical challenge. One faculty member mentionedthat neither they nor their associated graduate students or collaborative researchers have theskills, resources, and time available to organize data in a meaningful way. For some AE faculty,such an organization project would not be worth the effort anyway: “[If] we think the data's not really going to be used, and we're the only ones who's going to use it, that's a lot of effort to go to make all that information and organize it and then it's a waste of time if no one does it. So in the short term aspect to us, it doesn't help us. Too labor
duration of the study? 2.6* Are the results of the experimental teaching methods compared to data from a control group? 2.7* Does the study provide enough methodological data for a third-party researcher to replicate the experiment to a reasonable extent? 2.8* Are multiple researchers involved in the collection and review of data? 2.9* Additional comments or notes on method and design of studySection 3 Results 3.1* Characterize the outcome of the teaching methods described in the completed study in terms of impact on student learning 3.2 Summarize the teaching methods described in the study 3.3 What is the intended
culture, some students were able to thrive, while others’ low levelsof self-efficacy prevented them from having successful experiences. Since most REU studentsworked individually, opportunities for mutual support among research teams were not developed.This project determined to create research experiences that would address these issues. With aPBL approach in mind, engineering faculty members recruited students with a variety of STEMbackgrounds to work collaboratively on a complex problem in transportation engineering. Theresearch was intended to be a collaborative effort among students to reach their common goal.This paper has described the REU as it has developed over two years.During the first year of the project (summer 2018), the eight
Paper ID #30070Engineering Students’ Epistemological Thinking in the Context of SeniorDesign ProjectsMiss Qiushi Li, Shanghai Jiaotong UniversityJiabin Zhu, Shanghai Jiao Tong University Jiabin Zhu is an Associate Professor at the Graduate School of Education at Shanghai Jiao Tong Uni- versity. Her primary research interests relate to the assessment of teaching and learning in engineering, cognitive development of graduate and undergraduate students, and global engineering. She received her Ph.D. from the School of Engineering Education, Purdue University in 2013. c American Society for Engineering
students. In 2018 and 2019, she collaborated with Dr. Kavitha Chandra to utilize participatory action research (PAR) as an evaluation approach for the Research, Academics, and Mentoring Pathways (RAMP) summer program for first-year female engineering students.Prof. Kavitha Chandra, University of Massachusetts, Lowell Kavitha Chandra is the Associate Dean for Undergraduate Programs and Professor of Electrical and Com- puter Engineering in the Francis College of Engineering at the University of Massachusetts Lowell. She directs the Research, Academics and Mentoring Pathways (RAMP) to Success program that aims to estab- lish successful pathways to graduate school and interdisciplinary careers for new undergraduate students