were included in the study to provide ‘baseline’ data, using a convenience sampleof civil engineering students that generated a fairly large response rate (italicized in Table 1).Among the 15 settings, 14 were courses and 1 was a co-curricular setting (Engineers WithoutBorders, EWB). The courses were all “full” courses (e.g. 3 credits) with the exception of the twoconvenience courses. Ethics content in the courses ranged from a small amount (e.g. FY courses,engineering science and elective courses), to a moderate amount (professional issues courses,communication course), to two courses fully focused on ethics. The majority of ESI settingswere in public institutions; three courses were at religiously-affiliated private institutions and oneat a
plastic items, such asbags and bottles?The statistics are truly mind-boggling. Since the 1950s, humans have produced 18.2 trillion tonsof plastics worldwide, with China, Europe, and the US generating the most [13]. Annually, in theUS alone, we use 100 billion plastic bags, enough to circle the Equator 1,330 times [14]; wepurchase 50 billion water bottles, about 13 per person per month, and dispose of 25 billionstyrofoam coffee cups [15]; Americans use about 500 million plastic straws per day, about 1½per person [16], and dispose of 192 tons of freezer package waste from burgeoning mealpreparation companies, such as Blue Apron, let alone the millions of tons of plastic debris—airbags and styrofoam peanuts—used for protection of goods in the 165
technological solutions that focus heavily onstudents’ technical skills. However, for innovations that create an impact, it is essential tolink this technical knowledge to societal considerations. This paper describes a problem-centered approach towards introducing mechanical engineering students to sustainable,ethical and collaborative innovation, through an analysis of student work and feedbackgathered from a ten-week long pilot conducted as part of a compulsory, Master’s level,academic year-long Mechanical Engineering course.During the pilot, student groups worked on broadly phrased challenges derived from anongoing EU project on developing societal applications for technology, choosing one ofseven challenges ranging from changing rain patterns in
institution,Rensselaer Polytechnic Institute, for incoming first-year engineering students. The paper is theresult of early steps in the implementation of a longer-term, NSF-funded research project thatextends the inquiry to the development of students’ understanding of ethics over the entire arc oftheir undergraduate educational experience [1].Our argument unfolds in five steps. In the section that follows this introduction, we situate ourinquiry within the broader field of engineering ethics research, connecting in particular to workon “macroethics” [2] as it intersects with scholarly work in our primary fields of science andtechnology studies (STS) and engineering studies. The next section reviews in greater detail thisproject’s research design
academic preparation, first-semester experiences, study habits,and gender. Identifying these factors and the extent to which they affect student success is crucialto understanding how to increase retention rates. Supplemental instruction (SI) has been usedsuccessfully in academic settings to limit attrition in challenging programs, especially amongfemales. The College of Engineering at Northeastern University has implemented a SI programfor first-year engineering students, and our group has identified factors that may predict the useof SI in a required first-semester general chemistry course by these students [1]. For example,students who used SI in high school were more likely to use SI during their first semester incollege, showing a correlation
sustainability mindset, and creativity in the designprocess.2 Program OverviewThe SSEF program ran from June 5 to August 4, 2023, and included 4, approximately 2-weekphases which correspond to the double-diamond design process: Discover, Define, Develop, andDeliver [11]. The program featured lectures and field trips to teach important content to theparticipants, generally along 4 themes: design, sustainability, urban engineering, and systemsmodeling. These lectures were front-loaded in the program; weeks 1, 2, and 4 had 8 lecturesdelivered by program leaders and/or guest lecturers, while week 3 had a series of field trips tolearn about municipal infrastructure in 3 different Ontario municipalities. At the end of week 4,the students selected their
under progress. This paper will show in detail both projects and how they helpedin improving students thinking skills while employing the stages and steps set down bythe general design thinking ladder/framework.IntroductionArt has been a representation of man's creativity since prehistoric times, frompetroglyphs and pictographs to the creation of Mona Lisa. Engineering and engineeringsolutions have been used to improve life since the same prehistoric time frame, fromthe creation of the first wheel to the water wheel and the watermill. It can be said, then,that art and engineering are fundamentally and inherently connected. Bran Ferrenexplained this connection in his TED talk in 2014 [1]. Through his experience Branrealized that art without
study of subsystem assembly, and testing mechanisms. The module is designed infour stages (Stage 1: Spatial 3D Shapes Design and Animation, Stage 2: Gripper Design, Stage3: MR Scenes Setup/Design, and Stage 4: Module Technical Testing), as illustrated in thediagram in Figure 1. © American Society for Engineering Education, 2024 2024 ASEE Annual Conference Figure 1. Diagram illustrating the four stages of the MR module designStage 1 focuses on designing and animating 3D spatial questions with varying levels ofdifficulties for exposing students to spatial visualization techniques throughout the MR tutorialsession. Throughout this stage, up to 10 distinct 3D spatial shapes are
prescription and standardization that rewards conformity [3, 4, 5]. Furthermore,there is a recognition that traditional engineering education approaches do not necessarily nurturethe creative problem-solving skills needed in engineering practice [6, 7].Incorporation of broader use of idea generation techniques, assignment of open-ended andunderdefined problems, and creating an educational environment that is welcoming to creativecharacteristics and behaviors have been suggested [7, 8, 9]. A more recent stream of literatureproposes and investigates the incorporation of arts-based pedagogies into engineering curriculumto support the development of creative thinking skills of engineering students. Such initiativesspan a broad spectrum from the
a university teaching certificate program." Studies in Graduate and Postdoctoral Education 11.3 (2020): 233-248.[6] Boyatzis, R. E. (1998). Transforming qualitative information: Thematic analysis and code development. SAGE.[7] Jemal A. Critical Consciousness: A Critique and Critical Analysis of the Literature. Urban Rev. 2017 Nov;49(4):602-626. doi: 10.1007/s11256-017-0411-3. Epub 2017 May 2. PMID: 29657340; PMCID: PMC5892452.[8] Yosso, Tara J. “Whose Culture Has Capital? A Critical Race Theory Discussion of Community Cultural Wealth.” Race, ethnicity and education 8.1 (2005): 69–91. Web.AppendicesAppendix A: Interview ProtocolAbout you 1. General background information (outcome of this question could be a
. Lastly, themes were organized into individual and situational barriers for easierinterpretation. Because there were several commonalities and emergent differences leading tovaried adoption of each EBIPs, we performed cross-case synthesis [15] to compare the emergentbarriers to adoption across all EBIPs. Table 1. Definitions of EBIPs from Borrego, et al. [14] and number of corresponding responses to open-ended survey questions EBIP Description No. responses Active learning A general term describing anything course-related that all
infinitesimals workwithin the context of mathematical arithmetic. Of importance throughout this paper is basicfundamental arithmetic, which is what led to the development of the web-based errorless infinitycalculator software tool.For this work in developing and creating the errorless calculator, the authors introduce a new setof numbers referred to as omnifinites. Generally, in mathematics, a number is an arithmeticvalue used to represent a quantity. This definition implicitly implies a concept of size as well asorder, but not explicitly. For omnifinites, this definition is used as well. For the Greeks, indefining and describing a number, the concept of “The part of a number is less than the whole.”was foundational [1-3]. This concept was the governing
evaluating TA TPD programs.FrameworksKirkpatrick’s Four Level Evaluation Framework Wyse et al. [25] echoed the lack of information for evaluating TA PD initiatives andconsidered frameworks for evaluating PD programs more generally. In their evaluation of a“Reformed PD (RPD)” program for TAs of a Biology course, they selected the Kirkpatrick’sFour Level Evaluation Framework. This model has been used extensively in the business sector,but has also been used to evaluate faculty PD in higher education [25]. The evaluation modelincludes four levels: 1) reaction to the program, 2) learning occurring as a result of the program,3) application of content of the program, and 4) impact of the program on outcomes. Wyse et al.[25] used levels 1-3 to
or explicit assumptions about design objects that emerge fromthis process, and how the model might translate to the specific context of engineering coursedesign. We selected three models (engineering design, backward design, and design thinking) toprovide distinct, illustrative, and generative perspectives that would also be applicable to manyengineering educators. After applying each of these models to courses as design objects, wecompare models and explicate the implications they may hold for course design. Theseimplications are organized around three themes: (1) bounds of the problem and solution spaces,(2) role of users and designers and (3) course evolution over time. We close with a series ofreflective questions educators might use
challenges will be addressed in the future to better prepare the studentsfor their future professional careers.IntroductionCareer and Technical education (CTE) degrees, like Construction Management, are programsthat require students to be engaged in two learning components so that they can succeed laterin their professional lives. Not only are they required to learn academic skills (study habitsand strategies that help absorb subject knowledge) for the technical component, but also toacquire employability skills (abilities needed by an individual to be fit in a workingenvironment) and engage in actual trainings pertaining to this industry [1]. Even thoughefforts were made to have active involvement in the training component such as
engineering curriculum on student design in the first-year engineering classes.Students are given a pre-intervention survey to gather information on their self-efficacy and priorexperience with AM. Students complete a design challenge prior to the DfAM educationalintervention that is then offered in the form of a design workshop in conjunction with a brieflecture. Ideas generated are collected and assessed using an assessment framework thatencourages the use of DfAM considerations. Parts are scored on a scale of 1 to 4 in the followingcategories: part complexity, assembly complexity, number of separate parts, functionality,thin/smallest feature size, smallest tolerance, unsupported features, support material removal andthe largest build plate contact
Education, vol. 94, no. 1, pp. 103–120, Jan. 2005, doi: https://doi.org/10.1002/j.2168-9830.2005.tb00832.x. Appendix A Table 6: Number of disciplines tagged overall and as a percentage of KEEN cards Discipline Tags Percentage of Cards with Tag General Engineering 995 52% Mechanical Engineering 937 49% Electrical & Computer Engineering 763 40% Biomedical Engineering 759 40% Engineering Education 720 38% Civil
://engineeringunleashed.com/mindset.[11] C. G. Downing, T. P. James, & D. Evans. "Food for Thought: Predicting Entrepreneurial Behavior," in ASEE Annual Conference and Exposition, Conference Proceedings, Salt Lake City, UT, 2018. https://doi.org/10.18260/1-2--30529.[12] K. Lewis, D. Moore-Russo, P. Cormier, A. Olewnik, G. Kremer, C. Tucker, T. Simpson, & O. Ashour. "The assessment of product archaeology as a platform for contextualizing engineering design," in Proceedings of the ASME Design Engineering Technical Conference, 2013, vol. 1. https://doi.org/10.1115/DETC2013-13165.[13] A. L. Welker, K. M. Sample-Lord, & J. R. Yost. "Weaving entrepreneurially minded learning throughout a civil engineering curriculum
Distinguished Teaching Award at NYU. His scholarly activities have included 3 edited books, 11 chapters in edited books, 1 book review, 68 journal articles, and 175 conference papers. He has mentored 6 research associates; 1 B.S., 48 M.S., and 11 Ph.D. students; 66 undergraduate research students and 11 undergraduate senior design project teams; over 500 K-12 teachers and 130 high school student researchers; and 18 undergraduate GK-12 Fellows and 59 graduate GK-12 Fellows.Prof. Michael A. Gennert, Worcester Polytechnic Institute Michael A. Gennert is Professor Emeritus of Robotics Engineering, CS, and ECE at Worcester Poly- technic Institute, where he led the WPI Humanoid Robotics Laboratory and was Founding Director of
threewere redesigned for synchronous online offer and students seamlessly moved to onlineparticipation. Recordings of activities were made available through the program website [19]. Table 1: Scheduled talks & workshops as co-curricular activities. Year 2018 - 2019 Year 2019-2020 Year 2020-2021 Fall 2018 Fall 2019 Fall 2020 Resume writing, e-portfolio & LinkedIn Page Pearls Info Session How to Manage a Budget
population, and the national engineering undergrad population. They did not find anystatistically significant effect of household income on student outcomes. Working-class studentswere more likely to graduate than wealthier students, and working-class students also took longerto graduate and had a lower GPA at graduation. But, once again, these results were notstatistically significant.Bir & Ahn (2019) also included SES as an independent variable in their analysis of aerospacestudent outcomes, along with gender, ethnicity, first-generation status, in-state residency,measures of skills and abilities such as ACT score, and high school coursework. Theycategorized students’ financial means on a scale of 1-7, and did not find this variable to have
of abilities required to succeed professionally in theinformation age. The top four of these skills include critical thinking, creative thinking,collaboration, and communication [1]. In a typical engineering education curriculum, criticalthinking is addressed effectively. Also, students develop their collaboration skills via project-basedcourses that have become increasingly widespread in engineering education in the last twodecades. Furthermore, communication skills are often addressed through the inclusion of atechnical communication course or by otherwise satisfying the communication component ofestablished general education requirements. Laboratory experiences and project-based coursesemphasize the development of technical communication
analyzed and compared with the number of femalestudents in engineering majors and their reported autonomy, relatedness, and competence levels.The ultimate goal of this research work is to understand how culture influences the number offemales in engineering fields.KeywordsWomen in engineering, Culture, Self-Determination Theory, RecruitmentIntroductionResearch studies discussed the concepts of diversity, inclusion, and equality broadly, but there isstill discrimination and unfair treatment of minority groups, particularly with women inEngineering.[1] Significant research studies report on why women choose other types of careers[2], why they change to majors out of engineering or quit, [3] and why they do not get to practicethe profession after
[12]. Table 1 Description of the types of educational institutions in Chile [12] Types of educational Short description Average years institutions of careers Technical Training Center They can teach higher-level technical 2 or Community Colleges careers and award technical degrees. Professional Institutes They can teach higher-level technical 4 careers and professional careers that do not require a prior degree. Universities They
central evaluation questions addressed by the evaluation were as follows: 1. What do youth learn about the design process and engineering through participation? 2. How does participation in the program influence youth attitudes towards STEM in general and engineering in particular? 3. How does participation in the program influence youth plans for future college and career?ProgramDesignThe TechHive program was designed to create a culture of HOMAGO (Hang Out, Mess Around& Geek Out) for participants. HOMAGO was initially developed as a theory of how youthinteract with new media, using it to “hang out” and extend their friendships, “mess around” toexplore their interests and tinker, and “geek out” by diving deeply into
. Figure 5: If you have used OERs in an engineering course, how did your students respond to the material? Frequency Relative Frequency (%) No prior experience with 6 27.3 OERs General positive response 3 13.6 Positive response to low cost 2 9.1 Other perspective 1 4.5 No response 10 45.5 Figure 6: If you have evaluated OERs in the past, what is your perception
Assurance Education. He teaches network security and information warfare and has c American Society for Engineering Education, 2017 Paper ID #20080 written a textbook on network security. For a non-technical audience he co-authored a book on security literacy and has given numerous talks on security. His current funded research is targeted at developing robust countermeasures for network-based security exploits and large scale attack simulation environ- ments and is the director of the Internet-Scale Event and Attack Generation Environment (ISEAGE) test bed project. He has given over 75 presentations
inengineering education. In fact, as we define the skills-check, there seem to be no examples.Given the less critical nature of engineering practice (i.e. it is not as often that engineers need toapply skills in life-altering situations) this is perhaps not surprising.The studies which are reported in literature can be collected into a few general groups,understood in the context of the ABET program outcomes18. Some studies focus on assessmentof ABET “technical skills”19-22 some on professional skills”23-24, and one on both25. It is the firstgroup that is most relevant to this work. Of that group, the studies more closely related to thecurrent are Suits et al and Salim et al who describe assessing students’ laboratory skill at the endof the semester
the role of teachingintermediate-level programming in C. Feedback from industry and alumni indicated that thesingle programming course required of EE students was insufficient. To address this problem,we expanded the MATLAB portion of ECE 102 to include general programming in addition tocovering its calculation and graphing tools. While teaching MATLAB as an introduction toprogramming is not new [5], we also chose to integrate MATLAB with hardware interfacing toprovide a more concrete application of design, circuits, programming, and teamwork [4].2.2 Student Learning OutcomesOur initial student learning outcomes (SLOs) for ECE 102 are given in Table 1 as “Old.” Aftergoing through a systematic examination and performing backward design
. For this assignment, the faculty grades the draftversion of the report and hands them out to students, and then the students incorporate therevisions and submit the final report.In the Digital Design course for which the data is presented and analyzed, there were 39 studentsenrolled in the lab, and the lab sessions were divided in two days during the week, with about 20students in the first lab session, and about 19 students in the second lab session. The students’original and revised lab reports 1 and 7 grades were recorded before and after revisions. Thenormal distribution fit of the lab reports’ grades is illustrated in Figure 2. Figure 2- Normal distribution fitting of two QEP lab reports’ grades before and after revisionsFrom Figure