, capability, and ethical ramifications of a computing device to “think” and“create art” have long been debated by computer scientists, many pioneers in the field will arguethat the process of designing a computer program is similar to composing music or poetry.Donald Knuth begins his magnum opus The Art of Computer Programming with the argumentthat a computer scientist who understands computer programming at several levels of abstractionwill find the process aesthetically pleasing3 “much like composing poetry or music.”3 ProfessorKnuth had three crucial characteristics in common with Ada Lovelace: a strong understanding ofmathematics, a passion for music, and an understanding of the connection between the two.In fact, universities have long observed
Engineering Education. These courses are 2 credit hourseach and are offered at the central and regional campuses, however, this study only focuses on theregional campus course offering. These courses are required for all Engineering disciplines withinthe College of Engineering.First Semester Course - Fundamentals of Engineering I Curriculum: Topics in this course include engineering problem-solving, introductory programming, technical communication, engineering ethics, and teamwork. Utilizing engineering tools to analyze data and solve real-world problems is an important aspect of the course. Data analysis involved arrays, logical and relational operators, and graphing techniques for single or multiple datasets in Microsoft Office Excel. Basics of
: Maintaining scientific integrity in a climate of perverse incentives and hypercompetition,” Environ. Eng. Sci., vol. 34, pp. 51-61, 2017. 5. A.R. Bielefeldt, M. Polmear, N. Canney, C. Swan, and D. McKnight, “Ethics education of undergraduate and graduate students in environmental engineering and related disciplines,” Environ. Eng. Sci., vol. 35, pp. 684-695, 2018. 6. D.B. Oerther, L.E. Voth-Gaeddert, and D.D. Divelbiss, “Improving environmental health practice and policy through convergence research: A case study of linked food-water systems enhancing child health,” Environ. Eng. Sci., vol. 36, pp. 820-832, 2019. 7. L.D. Montoya, L.M. Mendoza, C. Prouty, M. Trotz, and M.E. Verbyla
. Examining data that supports unpopular solutions. Integrate technical topics, relating one to another. Connect technical concepts to a non-technical Integrate information from many context, for example issues relating to sources to gain insight. economics, sustainability, ethics, and other societal issues. Create diagrams that illustrate relationships Connections among a group of items or concepts
professional ethics; 8. and explain the importance of professional licensure.In this paper, we discuss several connections, not just with these SDG connections and CivilEngineering. Still, we especially believe that the case studies of edge computing and machinelearning give direct connections to applying probability, analyzing and solving problems,conducting experiments, and designing a process in civil engineering contexts, all discussedabove.Environmental Engineering CurriculumFor emerging environmental engineers to meet the SDGs, students will need to: 1. Have hands-on laboratory experiments; 2. Analyze and interpret data from their experiments in more than one central environmental engineering focus area, e.g., air, water, land, and
hardware and software of embedded systems. These courses are intensiveand require great efforts from both the instructor and the students. We propose to redesign theundergraduate curriculum to integrate security concerns and concepts during early phases ofembedded systems design. The goal of this new curriculum is to create new learning materials andteaching strategies, which will re-enforce life learning skills that incorporate security concepts inthe design of embedded systems. The curriculum will include a research component to assess thestudent’s learning skills. Through this curriculum, undergraduate students will learn the basics ofintegrated and collaborative research as well as research ethics. The key educational componentsthat need to be
offeredin the CoE. The course helped them to understand the structure and differences betweenprograms to reassure their career choice. The course also included topics in ethics, theengineering method, and teamworking. Team activities and hands-on small projects inducedthem to know each other and develop community sense. INGE-3002 deepened students’knowledge about their chosen field of study and the importance of basic engineering courses forbeing successful later on in their study programs [13]. It connected freshmen, with seniorsworking on their capstone design projects, to learn how the latter carried an engineering design,followed up the solution development process, and attended presentations of completed designs.Freshmen were then tasked with
design to the client Got GMOs? Evaluate the • Cells contain • Ethical and • Population from (Grades 6-8) efficacy of a DNA. practices uses a sample barrier that • Genes are of technology • Draw inferences reduces cross- located in • Technology about a contamination DNA. used in population from of non-GMO • Genes carry science and the data corn fields from information engineering. • Variation in GMO
sharing agreement to share student-level databetween our institutions. In order to effectively comply with FERPA requirements around datasharing, as well as ethical obligations to students, we developed a data sharing agreement thatenumerates each institution’s roles and responsibilities for providing and protecting confidentialinformation. Below are some lessons and recommendations from our experience developing andimplementing this agreement.Determining data needs: Creating the provisions of a data sharing agreement requires knowingwhat pieces of information will be used in analysis (at least in general terms), so that those itemscan be enumerated. We wanted to limit sharing to what was needed out of respect for studentprivacy. However
working full time for four years, earning my PE during that time, I left to entergraduate school, studying ethics, religion, and focusing ultimately on women’s, gender, andqueer studies. I continued to work in engineering part time remotely as a I completed mymaster’s and PhD. My academic training is in humanities, but religion is an interdisciplinaryfield that allows for many methods, including ethnographic methods. For my dissertation, Iundertook a qualitative study of Cambodian women who were leaders in their Buddhist andChristian religious communities, my work funded by a Fulbright award. My work always looksfor the underlying, unspoken values and the effects of these, my academic lens influencedespecially by the work of queer theorists (e.g
information needs, consider them thoughtfully,incorporate stakeholder feedback into project design where possible, and communicateeffectively and ethically. This course addresses an emerging and important aspect of civilengineering practice and is breaking new ground in engineering education.References[1] "Civil Engineering Body of Knowledge: Preparing the Future Civil Engineer," American Society of Civil Engineers, 2019.[2] Linda Geppert, "Educating the Renaissance Engineer," Spec, vol. 32, pp. 39-43, Sep 1, 1995.[3] ABET. Criteria for Accrediting Engineering Programs, 2022 – 2023. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2022-2023/.[4] R. D. Bullard, "Solid Waste
2023 ASEE Illinois-Indiana Section Conference ProceedingsCharacterizing the Educational Effectiveness of STEM Demonstrations at Science- focused Events for Adult Audiences Dr. Tom Lucas* Purdue University lucas113@purdue.edu Science and its applications in engineering and technology are valuable tools to wield whileaddressing the plethora of environmental, ethical, and logistical concerns facing our modernsociety. It is not necessary for all individuals to work in a scientifically-focused industry, but arespect and understanding for the efforts of scientists is beneficial for
M (SD) Design: • Understanding of what engineers “do” in industry or as faculty members 3.07 (0.62) • Understanding of engineering as a field that often involves non-technical considerations (e.g., 3.04 (0.76) economic, political, ethical, and/or social issues) • Knowledge and understanding of the language of design in engineering 3.04 (0.76) • Knowledge and understanding of the process of design in engineering 2.96 (0.81) • Your ability to “do” design 2.85 (0.66) Problem
defined as key learning outcomes179 (KLO): (1) communication-related topics, (2) engineering economics-related topics, (3)180 engineering ethics-related topics, (4) legal aspects, (5) safety aspects, (6) design-related181 topics. The following subsection describes how this study determined and prioritized KLO. © American Society for Engineering Education, 2023 2023 ASEE Illinois-Indiana Section Conference Proceedings182 Figure 1 shows the proposed CEM template183 replicating six construction project life cycle phases184 embedded into the two-semester concept for the185 CEM Capstone course. CEM Capstone instructors186 can utilize this template to develop detailed187 capstone course plans
recognized as a critical professional skill in support ofengineering design work. As such, there are a growing number of curricular initiatives to supportthe development of engineering students' empathy as a design skill [14]. These initiatives span avariety of approaches, including stakeholder engagement in human-centered design, service-learning projects, and curriculum on ethical impacts of our engineering work [18]. However,within engineering, students identified empathy as a critical interpersonal skill for buildingrelationships in their everyday lives, yet struggled to see how empathy is involved in theirengineering work [19]. This disconnect highlights the importance of emphasizing empathy as notonly an engineering design skill, but also as a
overall obtain atenure-track position [3]. Most doctoral scientists and engineers obtain employment in theprivate sector rather than in education [4], and increasingly as entrepreneurs. A wide range ofskills and knowledge is required in order to succeed in industry, such as leadership,communication, and teamwork skills [5] as well as development of understanding of business,social, and ethical contexts within STEM [6]. Traditional graduate programs fall short ofpreparing students for multifaceted careers in the current landscape of rapidly evolvingtechnology and scientific knowledge [2]. The PAtENT model provides a framework to engageengineering doctoral students in entrepreneurship throughout their academic work and not as anaddendum to it. In
Engineering Education (ASEE) Annual Conference & Exposition, 2002.[8] McGeen, M., Friauf, J., “The Evolution Of An Advanced Communication Skills Course,” Paper presented at the Annual Conference, Albuquerque, New Mexico, 2001.[9] Squires, A., Pennotti, M., Verma, D. “The Effect Of Incorporating Verbal Stimuli In The Online Education Environment: An Online Case Study,” Paper presented at the Annual Conference & Exposition, Chicago, Illinois, 2006.[10] Leitch, K. R., Dittfurth, R. B., “Online and In-seat Ethics Instruction: The View from Both Sides,” Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas, 2012.[11] Rusco, Eileen M., “What’s my communication style
/2317745859. DOI: 10.18260/p.23398.[5] H. LeBlanc et al, "Combining technical and entrepreneurial skills in an electric circuitscourse through project-based learning," in Jun 15, 2014, Available:https://search.proquest.com/docview/2317698763.[6] R. J. Voigt, R. Ives and J. M. Hagee, "Modified Studio Lab Classroom Used To TeachElectrical And Computer Engineering To Non Engineers," 2003 Annual ConferenceProceedings, . DOI: 10.18260/1-2--12139.[7] M. Tomhenry et al, "Systematic Review of Rigorous Research in Teaching IntroductoryCircuits respectively. Her current engineering edu- cation research interests include engineeringstudents' understanding of ethics and social responsibility, sociotechnical education, andassessment of engineering pedagogies
experience? RQ3: According to students, what challenges did they face over the course of a year-long research experience?MethodsThis paper uses a combination of a priori and in vivo coding on qualitative, semi-structuredinterviews with 12 participants in a long-term undergraduate research program. Appropriateinstitutional ethics approval was obtained prior to data collection.Participants and SettingThe participants of this study are 12 undergraduate students in the department of Mechanical andMaterials Engineering at a land-grant, research-intensive university in the mid-west UnitedStates. The participants, comprising of eight males and four females, were in classes betweensophomore and senior year of their engineering major and were
recruit students from other majors(eg. Business and Public Policy), all students from the first three semesters came frommechanical engineering. The main barrier is that courseloads during the junior and senior yearsare often already filled with in-major requirements. EDR was always open to all majors but withits listing as an ME course, it provides little potential curricular credit for degrees in othermajors.For the fourth offering currently underway, a new course listing with a college-wide designationhelps broaden the appeal by making it easier for non-majors to take the course. The course wasalso added to a Science Technology Ethics and Policy minor, and a GenEd designation iscurrently being pursued. The cohort from the current semester now
meaningful conclusions, ML and MT algorithms are not necessarily diverse enough to beused in all situations. Furthermore, there are discussions that such applications struggle to adequately improve thequality of courses in the humanities. Many of the assessment tools have difficulty identifying highquality responses from low effort ones. In fact, open source AI chatbots can be used to trick MLgrading algorithms and remove the student from the feedback loop altogether. Thus, there arisesthe need for ML algorithms to detect ML submissions. This requires educators to invest time andenergy better diverted to course material and development to focus on the ethical ramification ofsuch problems. Lastly, many of these methods are algorithmically
large, public, midwestern R1institution. It introduces concepts and tools for engineering design process including fundamentalengineering content, project management, teamwork, and engineering ethics. Algorithmic thinkingusing multiple computational tools like LabVIEW and Python are also a significant part of coursecontent. Every fall semester, about 1300-1500 students enroll in the course distributed into 24-28sections, with an average class size of 40-72 students. At the beginning of the semester students areassigned into teams of size 3-4 based on several factors like prior experiences, knowledge, anddemographics. Using a flipped-classroom setup, the instructors administer the same in-classactivities, quizzes, homeworks, and exams across all
specific SOs will beintroduced or reinforced, and thus serve as formative assessment. Assessment in I- and R-designated courses are performed each year, while A-designated courses are assessed once everytwo years. SOs 1 through 3 are assessed in the first year, and SOs 4 through 7 are assessed in thesecond year of the two-year cycle. I-designated courses are all sophomore and first-semesterjunior level courses, while the R-designated courses are second-semester junior level courses.Those SOs that can be more challenging to assess in typical lecture courses, namely SO 2(design), SO 3 (communications), SO 4 (ethics and professional responsibility) and SO 5(teamwork), were concentrated for assessment in courses with design projects (Introduction
regardinglearning, teaching, students, themselves, the environment in which they work, and other emergenttopics in the interviews. We are following standard coding recommendations (e.g., [37]) to ensurean ethical approach to our data.Preliminary FindingsIn relation to our research questions, we asked instructors in the first interviews about theprogram’s impact on their instructional practices, perceptions, and beliefs about learning andteaching. We describe here the most relevant preliminary patterns that emerged.Conceptual and pedagogical tools appropriationIn relation to the first research question, we observed some glimpses of tool appropriation.Regarding the conceptual pedagogical tools, one of the topics that emerged from more than asingle instructor
3 [5] could potentially be achieved through a studentengaging with a makerspace. Wigner, et el., p. 132022-2023 ABET Criterion 3: Student Outcomes 1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics. 2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors. 3. an ability to communicate effectively with a range of audiences. 4. an ability to recognize ethical and professional responsibilities
identify commonalities in their constructions andinterpretations of their experiences.This paper draws from data collected for a larger, comparative case study [10]. Data werecollected from mechanical engineering students who were taking second- and third-year coursesduring March 2020. Participants were recruited from two large, public, comprehensiveuniversities and were interviewed about their experiences taking courses during the pandemic.This study was approved by the appropriate ethics review boards prior to data collection.Participants and SettingsParticipants were 11 mechanical engineering students who, at the time of the interview, weretaking 2nd or 3rd year mechanical engineering courses in March 2020 at one of two institutions: alarge
PromptResults and DiscussionFellows have begun to show a deep understanding of the impact they can make as a STEMprofessional. For some undergraduates, it was their first opportunity to consider how their pursuitof a STEM degree related to their overall life goals. Through the legacy statement exercise, theresearch fellows are provided space to imagine a future for themselves and community members.Here is a quote taken from a computer science major that expressed a common sentiment:“I want to be a champion for my community and utilize the intersection between ethics andcomputing technology to bring about equity for them. I would want to begin a cycle of givingand inspire others to use their power and influence to bring about change too.”Fellows
Past President and Wise Woman of the Organization for the Study of Communication, Language, and Gender. She has received career achievement awards from ICA, NCA, the Central States Communication Association, and Purdue University where she was a Distinguished University Professor in communication and engineer- ing education (by courtesy) and Endowed Chair and Director of the Susan Bulkeley Butler Center for Leadership Excellence. Her primary research areas are organizational communication, career, work-life, resilience, feminist/gender, and design. Her grants have focused on ethics, institutional transformation, and diversity-equity-inclusion-belongingness in the professional formation of engineers.Dr. Sean M
Computer Science, Mechanics and Electronics. Not onlythese three disciplines define Robotics: a number of additional ones (to name a few, MaterialsScience, Anatomy, Psychology, Medicine, Linguistics) can be extremely relevant, and makeresearch in Robotics an extremely interdisciplinary affair. Japan has one of the world’s longest traditions in the design and production of robots,which traces back Karakuri puppets used in Shinto festivals and in tea ceremonies since the14th century. A review paper by Trovato et al. [7] covers many of these developments, indifferent fields of application (humanoids, robots for rescue, ethical aspects, arts, and more).Humanoids nowadays constitutes one of the biggest branches of Robotics, and it originated inJapan
Machine/system statics A/D and D/A CAD (i.e., graphics) Mechatronic Industrial conversion system build robotics Design fundamentals Mechanical systems (e.g., Actuators Computer simulation Robotics Specialty topics - (e.g., reliability, functions, properties, (basics) robotics safety, energy, ethics, materials) liability) Feedback control Pneumatics/hydraulics Digital Control algorithm Robotics (build) Welding and (performance (e.g., properties, power systems/circuits design