fromthe course. The students were asked to choose from a list of selected skills the ones theythought they developed the most in the course and the ones they developed the least.Likewise, they were asked to rate the course learning outcomes from 1 to 7 according to howthey perceived their own achievement. Finally, the last part focused on making studentsreflect on the general experience of the course, the usefulness of the methodology used, thecontents worked on (specifically HCI), and their perception of the contribution that thiscourse had on their job readiness.Different actions were carried out to ensure the validity of our qualitative study. Theinterviews were conducted by researchers without the participation of the course instructor.The
localdepartment and in the field in general, can help direct collection decisions, particularly forjournals. However, following the trends, both locally and globally, in the research andcurriculum of an engineering discipline will also guide the selection of monographs and otherresources (e.g. standards, technical reports). Physically and virtually browsing the collection willhighlight not just content areas of importance, and changing trends in these areas over time, butwill also shed light on critical publishers and vendors for the particular discipline.Above all, don’t let the “crisis of confidence” hinder the efforts. Wray [16] points out that amotivated novice can often bring an unbiased, data informed and successful approach tocollection
management, from the University of Missouri-Rolla. As the author or coauthor of over 100 technical papers, his research interests include supply chain management, humanitarian and healthcare logistics, healthcare/medical in- formatics, and data standards. He has directed several projects funded by the National Science Foundation, Air Force Research Lab, and Wal-Mart Stores.Prof. Corey Kiassat, Quinnipiac University Dr. Corey Kiassat is an Assistant Professor of Industrial Engineering at Quinnipiac University and has a BASc and a PhD degree in Industrial Engineering from the University of Toronto. He has an MBA, majoring in Marketing and International Business, from York University. Corey is a Professional Engineer and
). ACM, New York, NY, USA, 268–272.DOI:http://dx.doi.org/10.1145/1999747.1999823[8] Therese Mary Smith, Robert McCartney, Swapna S. Gokhale, and Lisa C. Kaczmarczyk.Selecting Open Source Software Projects to Teach Software Engineering. Proceedings, 45thACM Technical Symposium on Computer Science Education (SIGCSE ’14). ACM, New York,NY, USA, 397–402. DOI: http://dx.doi.org/10.1145/2538862.2538932[9] CRA Enrollment Committee Institutional Subgroup. Generation CS: Computer ScienceUndergraduate Enrollments Surge Since 2006. (Mar 2017). http://cra.org/data/generation-cs/[10] Heather K. Tillberg and J. McGrath Cohoon. Attaching Women to the CS Major. Frontiers:A Journal of Women Studies 26, 1 (2005), 126–140.[11] Ioanna Vekiri. Information Science
large proportion of first-generation, low-income students,and spanned one semester. The students solved the activity in two teams, which were grouped asfollows: Team 1, consisting of four students [four males] and Team 2, comprised of five students[two females and three males].Context of the MEAIn order to elicit students’ sense-making processes and gather information on the measurementprocedures involved in modeling for this study, a MEA titled “Ram pump: a resource forproviding running water to las Colonias community” was designed. The MEA was craftedconsidering the six design principles of MEAs [12] and comprised three sections. The firstsection included the context where students read and discussed the challenges faced by “lascolonias” [the
CSCL-tool are considered. However, participants differ in theirinterindividual tool usage, e.g., webcam usage, due to personal or technical reasons. In result, aCSCL-session planned on a web-conferencing platform can unintentionally turn into a session ona spectrum from videoconferencing (all participants use their webcam and microphone) overaudioconferencing (participants refusing webcam usage) to synchronous text-chat (webcam- andmicrophone-refusal). In worst case this can cause misleading conclusions about the didacticmatch between tool and task with negative effect on teaching and learning. To consider theusers’ interindividual tool usage, we conducted an online experiment with 45 undergraduatestudents building 15 three-student groups
graduate students aremajority international students (85% for master’s) while undergrad students are mostly U.S.residents (88%). This made it uncertain about the underlying cause or effect of degree level orinternational status on opinions. We made the choice to analyze from the perspectiveof degree-level rather than citizenship. Fig. 1. Student perceptions: AI optimism and biased algorithmsWhile the general survey findings (Appendix B) informed our overall approach to instruction,what stood out in the survey is that 92% of students agreed that AI algorithms will improveover time. Computer science students present an overwhelming techno-optimism about thefuture of AI code. A belief that technology can be harnessed to help make
-based games; (C) A weeklyseminar meeting with outside presentations of general interest; and (D) A Poster Session so thatstudents can present the engineering experiences they have gained. Selected students wereawarded “Posters of Excellence” Certificates in a poster competition.Student response rates in the 2013 Program were low to both a pre-survey administered bySOCHE when the program was in session and to a post-survey following the program (pre-survey response rate: 33%; post-survey response rate: 16%). While participation in the JointOrientation was nearly 100%, student participation in the other 11 one-hour weekly events waslow (13%). Page
to developoutreach education programs.Engaging a Hispanic community is important not just in El Paso but at a national level as theHispanic population is the nation’s second-largest racial or ethnic group behind white Americanand ahead of Black Americans, according to the US Census Bureau [24].The willingness to participate in an RWH initiative was investigated by analyzing not only thesocio-economic information of the participants but also their preconceived notions on the topicof RWH and climate change. Our results show that these can influence their willingness toparticipate in RWH practices: 1. In general, participants showed a genuine interest in learning about RWH practices that can help provide water for
operational.Lessons Learned:1. Community-engaged projects are much different than the types of problems that undergraduate students have been made accustomed to, and a considerable amount of time could be consumed trying to develop a comprehensive understanding of the problem. Faculty advisors have a much greater responsibility than normally to guide the project teams toward the appropriate scope and priorities while being sensitive to the timeline.2. Capstone teams generally performed well at identifying the initial costs needed to implement a project and get it operational; however, some teams had difficulty in identifying the operation and maintenance costs and the future replacement costs necessary to adequately determine the annualized
spaces. Instead, tit just covers a simple introduction of such topcis. • There are a few common linear algebra projects if the class involves the component of application, e.g., Markov Chain, Least Square Regression, and Image Compression by SVD. All other application projects vary from school to school, depending on students’ needs and interests. • Four out of eight universities have discussion sessions in addition to the regular three traditional lectures per week.Bases on all the findings the author investigated, along with the objectives of making thelearning more active, efficient and applicable, the author carefully reconstructed the coursecontents, which is displayed in Figure 1
. Ongoing (Available throughout the course of any modeling project) 7. Consistent (All students receive the same feedback) [1].In essence, the rules allow students to benefit from the expertise encoded into them by receivingon-demand, detailed modeling feedback. During the term, students responded well to the use ofthe rules; many of them were able to resolve their errors with minimal assistance and the focus ofthe lab sessions tended to be on more advanced topics. In addition, the time to grade and assessthe teams’ submissions was greatly reduced. Students learned that creating elements triggered acascade of errors until they were documented, traced and/or related, and used properly. Thepresence of defects in the model
of the free online artificialintelligence-enhanced beer game (Figure 3). Figure 1: Summary of 5 Key Learning Experiences Figure 2: Screen Shots for Classic Beer Game (beergame.masystem.se) Figure 3: Screen Shots for Opex Analytics AI Beer Game (beergame.opexanalytics.com)First, students received a short lecture and then participated in the beer game during each weekly50-minute face-to-face session. This allowed them to receive a practical applied understanding ofthe concepts for the first time.Second, students completed an assignment outside the classroom which required posting weeklyto a discussion section [45-47]. Each discussion required an initial post and response to two peers’posts. See Appendix A
incorporate SPL engineering. Wefound that our approach improved student application of reusability theory, benefitteddocumentation quality, increased student satisfaction with the course, and increased the percentageof code written reused by students from semester to semester.1. IntroductionA Software Product Line (SPL) is a set of software systems that share common assets and are easyto deploy and configure for new environments [6]. There are many approaches that can be used tocreate an SPL including model-driven development, modularization refactoring, the use of SPLdesign patterns, reuse design, and others, but few software engineering classes have time to teachor apply these concepts. Many of the strategies within SPL engineering reinforce good
, interdisciplinary, and competitiveworld. The education they receive must go beyond the topics and skills that have formed part ofengineering and computer science curricula for decades. Many have suggested that programsshould equip students and graduates with entrepreneurial knowledge and skills that will enablethem to contribute to the economic growth of our society – be it as intrapreneurs withincompanies and corporations, or as entrepreneurs themselves [1].Models for adding entrepreneurial content to engineering curricula have begun to surface in thelast 10-20 years. Two common models are: (1) partnerships with business programs for minorsand dual-degrees; and (2) business-topics courses targeted specifically at engineering and sciencestudents [2]. An
Tables 1 and 2) use the same video instruction as the sessions that thesophomores complete. However, the students are required to watch these videos again forreview purposes and also because the goal is that the students will address the instructionalmaterial more carefully at this later point in their academic career. In terms of assignments forthese lessons, the students are again required to revise and upload their resume to Blackboard,attend the career fair and upload to Blackboard conversations with four companies, and updatetheir Handshake profile and upload their revised resume to Handshake.Table 3 also shows the new lessons that all engineering seniors are required to complete. Lesson1 provides general strategies for obtaining full-time
, butthat the co-author was. Consequently, at times he felt that the group was missing significantopportunities. Yet the club members apparently did not feel the same missed opportunities. Itwas difficult to let the group move on when he believed this material was important.Finally, as noted above, the co-author became deeply involved in a few one-on-one discussionswhere he was an expert in the course material content. Most members were left out as the co-author engaged in extensive technical discussions with one other member. Although theseoccurrences were rare, they served to derail the session since facilitation was absent. The groupseemed unable to move on without facilitation.DiscussionThe institutional setting for the Teaching Club was
information).Engineering Economics provides engineers with valuable mathematical tools for implementingcost analysis in their technical design process. Businesses must respond to increased competitionthrough the selection of lower cost solutions and engineering economics provides the tools forthis project selection. Engineering Economics accomplishes this by allowing companies toallocate financial resources in the most efficient manner while maximizing financial payback tothe company. As Eugene Grant said engineering “involves a realization that quite as definite abody of principles governs the economic aspects of an engineering decision as governs itsphysical aspects”. Thus, engineering economics deals with the kinds of economic decisionsengineers
skills developed is highly correlatedwith the specific curriculum in which the activities are implemented and the problem scenario orcontext in which these activities are encountered. As a justification for the inventiveness ratings,we provide the attributes of student work defined in the previous section which may apply in thesesettings (Novelty=N, Unpredictability=Unp, Creativity=C, and Uniqueness=Uni); 0-1 attributesconstitute a low rating, 2-3 attributes generally constitute a medium rating, and 4 attributesconstitute a high rating. In the justification, we also provide some key skills that students are likelylearning and applying in the context of these activities to provide the reader some guidance as tohow the authors define these
integratingdiversity and ethics into engineering coursework instead of presenting this material as anoptional add-on or special topic.Briefly, we are building this curriculum in three contexts, with the goal of implementing all threesimultaneously starting in Autumn 2018. 1) Three quarters of pilot rounds where we introduced this material in two class sessions and one assignment in a large introductory bioengineering course taught by the authors (2017-18). These materials are now integrated into the course and beginning in Autumn 2018 will be included in future course offerings. 2) First offering of a new honors section of the introductory course for students to delve deeper into topics involving ethics and diversity (Winter
proliferation of such programs in the United States (U.S.)and other countries, many scholars consider TNE as a logical growth area for online and distanceeducation [4], [5], [6].According to the General Agreement on Trade in Services (GATS) by the World TradeOrganization (WTO), there are four modes of service export [7]. For educational services, theseexports are exhibited in the following modes:1. Mode 1 is cross-border supply where the educational service crosses national boundaries. This includes online learning programs and distance delivery that are delivered through satellites, televisions, computers, Internet, video conference or other technological means. Travel by the consumer of service to another country is not required.2. Mode 2 is
andmiddle school teachers in 2015, 2016 and 2017, respectively. Our workshops followed theproject-based learning framework designed by West Virginia Department of Education [6];specifically, the participating teachers learned designing projects, mapping projects to contentstandards/objectives, and assessing the outcome of project-based learning. Two photos taken atour workshop are shown in Figure 1. In Figure 1(a), a group of teachers were conducting amechanical engineering project. In Figure 1(b), the participating teachers were constructingcircuits in the electrical engineering session. Surveys collected from our workshop participantsindicate that the workshops were well received by the participating teachers. For instance in asurvey after the
control a small group of roboticvehicles. Collective motion of groups can in general be described by Reynolds’ Rules whichinclude three main concerns: a) collision avoidance, b) velocity matching and c) flock centering [8]-[9].2. Problem DescriptionUnmanned surface vehicles can be modeled as in Figure 1 [3]-[7]. The course angle χ, headingangle and sideslip angle are defined as shown. The input r is applied at the rudder. The modelas used in this assignment is described in more detail in [3]-[5]. Figure 1. USV Model [3]-[7]To simplify the USV model for the assignment, one can assume no sideslip. This results in thefollowing relationships. 𝑥̇ = 𝑈cos(𝜓
Naval Engineer and Program Manager, both in the government sector and in the shipbuilding industry, where she provided leadership and technical expertise on the design, construction, testing and fielding of high-performance marine ves- sels and advanced technologies for U.S. and foreign navies. For her contributions to naval engineering, she was awarded the Rosenblatt Young Engineer of the Year award by the American Society of Naval Engineers and the RADM Melville Award for outstanding technical achievement by the Naval Surface Warfare Center, Carderock Division. Dr. Michaeli completed her PhD in Mechanical Engineering from ODU, her MSc in Ocean Systems Management from MIT, and her BSc in Naval Architecture and
Paper ID #12157A New Coastal Engineering Graduate ProgramDr. Robert W. Whalin, Jackson State University Dr. Robert W. Whalin, Professor of Civil and Environmental Engineering, and Director, Coastal Hazards Center, Jackson State University. He is Director Emeritus of the Engineer Research and Development Center, Vicksburg, MS. He received his PhD in Oceanography from Texas A&M University in 1971 and is a Registered Professional Engineer. Dr. Whalin was Director of Army Research Laboratory (1998- 2003; Adelphi, MD), and Technical Director /Director of Waterways Experiment Station (1985-1998; Vicksburg, MS). He has
the semester, butstudents had mixed agreement about whether the sketching activities were helpful for learningcourse material. Our results are compared to previously reported findings from four-yearinstitutions and other community colleges, when available. We highlight promising strategies topromote learning and confidence for diverse student populations learning engineering graphics,which could potentially improve retention at other community colleges and four-yearinstitutions.IntroductionIn an effort to increase access to university education for low- and middle-class families, at least17 states have begun offering opportunities to attend two-year colleges tuition free [1]. Already,roughly 50% of engineers in the workforce with a terminal
"Other" 8 21% Engineer, Math/Science, and 1 3% "Other" Math/Science and "Other" 9 24% "Other" only 6 16% Total 38 100%Because of the small sample size of each of the groups and the small variation in the surveyresults between the engineering and math/science majors, it was decided to lump the respondentsinto one of 3 categories: MSE only teams, Cross-disciplinary teams, and Non-MSE only teams.The breakdown of the respondents in these categories is given in table 2. Table 2: Generalized
clearlyimply a need for engineers to be competent in systems thinking and teamwork/communication,to understand the issues of sustainability, and to work effectively on cross-disciplinary problems.A selected set of (mostly non-technical) KSAs identified as important by a survey conducted atthe ASEE-NSF workshop9 and which stakeholder(s) must be responsible to teach them (inpercentages) are shown in Table 1. The numbers within parentheses next to each KSA indicateits priority in the list of 36 KSAs identified through the survey. The sample data presented belowshows the critical role engineering educators have in instilling these KSAs in the futureengineering workforce.While some of the KSAs identified can be integrated into existing courses through
course was offered in spring 2013 and fall 2013 to a group ofengineering and engineering technology students. The course was offered as a hybrid coursewith students enrolled both as on-campus and distance-learning students. The paper toucheson experiences and feedback from the instructor and students related to lectures, labs,assignments, project-based learning and site-visits.IntroductionBuilding the next generation workforce, industry leaders, engineers, scientists and educatorsin the area of naval and marine engineering is critical to maintain the global competitivenessof the U.S. defense and marine industry. The U.S. Navy and maritime industry have agrowing need to educate and hire scientists and engineers who are highly skilled in
engineering course. Two upper-level students were selected to lead theSI sessions while providing peer mentorship and community engagement for the first-yearstudents. The faculty teaching both courses worked together with the peer mentors to develop aplan for the SI sessions.This paper will detail the SS Program and analyze the performance of the students in their firstquarter at the university. Data from common exams given in their precalculus and engineeringcourses will be used to examine the effectiveness of the program.MotivationFirst-year engineering students are at-risk for high attrition rates [1], [2]. Social issues,independence, adapting to a new environment, foundational knowledge, and other factors havebeen determined as possible