disciplines of engineering, as well as undecided students. The courseintroduces students to engineering through discussion of broad topics like the definition ofengineer, engineering design, engineering ethics, professional societies, and so on. The ENGR1200 series, by contrast, is a lab course that is designed to be specific to different disciplines ofengineering: civil, mechanical, and so on. ENGR 1203 is the course at our institution for first-yearstudents who have enrolled in the civil engineering degree program.The redesign of our institution’s first-year engineering program is part of a broader trend in highereducation to develop curricula specifically for first-year engineering students [1]. This broadertrend is motivated in large part by low
. Nobel economist Herb Simon characterized engineering as problem solving, asattempting to move from a current state of affairs to a more desirable future state of affairs. The 9expression ‘more desirable’ is the value component. The issue isn’t about engineering ethics. It’sabout the value of engineering practice. In discussing this issue with an engineering professorcolleague we agreed that engineering was concerned with problem solving. We also agreed thatthe practicing engineer doesn’t really know what the problem is. My colleague told me that heteaches his students that they are ‘opportunity actualizes
allows for an additional rawdata source that can be processed by nuclear scientists to Image 1. Ford nuclear reactor [27].support validation of simulation tools [28].In summer 2023, the University of Michigan library began the years-long process of digitizingthe collection of nuclear reactor logbooks. Taken into account were copyright issues, exportcontrol issues, liability concerns with regard to the Nuclear Regulatory Commission, andcompliance with our Research Ethics office. We created a custom metadata ingestion form, andthe logbooks will be digitized in-house by our Digital Conversion Unit. Once the project isfinished, the logbooks will be housed in our institutional repository and open to the public. Onceposted, the logbooks will serve
, systems thinking [6],design thinking [7], and computational thinking [8] shape engineering identity. Computationalthinking, with its focus on algorithmic problem-solving, is a vital skill for engineers [9]. Integratingcomputational skills early and regularly in engineering curricula has been shown to improvestudent outcomes [10]. Similarly, we propose that incorporating data skills throughout thecurriculum can also strengthen engineering formation.Data skills refer to the ability to collect, organize, analyze, visualize, and communicate dataeffectively and ethically. Engineering students practice data skills in various assignments, such asconducting experiments, designing solutions, and evaluating results. These assignments mirror thereal-world
practices and technology and don’t have enough time to transfer that technology. It’s great that we can then exchange this info and others can adapt it… actually establish meetings to transfer ideas… I appreciate any time we get for moving technology from one context to another. And thank you all.Another example of this is the following conversation between participants from two differentteams: Sch 1 Ed Rsch: And Sch 2 Ed Rsch, my background is in bio-engineering and I’m really [excited] to hear about what you are doing. I tried to implement a bio-engineering module into a material sciences class here at Sch 1, regarding the ethics and social justice concepts that come into play. Once we get this initial paper
National Science Foundation underIUSE/PFE:RED Grant No. 2105721. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.In accordance with standards for ethical use of AI, we acknowledge that we have utilized theAPI of the GPT-4 model to assist with reviewing the manuscript, including proofreading andreducing redundancies. The use of GPT-4 was strictly limited to editing assistance; no aspect ofthe AI was employed for generating the content herein. We hold full responsibility for theaccuracy and originality of the ideas conveyed. References[1] H. A. White and P. Shah
: 1) Enhancing the social andtwo Lean Green videos. “Consider the environmental impact ofbroader impact of Lean Green Companies; 2) Sustainable business practices; 3) Ethical management;initiatives on the environment and 4) Responsible sourcing of materials. Resource Efficiency: 1)society. How do these initiatives Sustainable development; 2) Environmental sustainability; 3) wastecontribute to sustainability beyond the reduction. Influence on Others: 1) Inspiration toorganization's walls?” consumers/communities; 2) Competition for other organizations; 3) Positive media presence.Assignment 1, oral presentation on Planet, profit, people
consistency standpoint. It encompasses comments about adhering to industry recommendations, existing policies and procedures, and following ethical best practices.Practical This low-order theme represents the need for individuals to have aApplication thorough knowledge and grasp of technical standards so that they can put them to use in real-life applications (e.g., senior design projects, internships, industry). In most cases engineers were listed as the subjects in these responses; however, multiple respondents stated people in general should know about standards.Expectations of the This low-order theme
, 2004. doi: 10.17226/10999.[5] M. Forbes, A. Bielefeldt, and J. Sullivan, “Implicit Bias? Disparity in Opportunities to Select Technical versus Non-Technical Courses in Undergraduate Engineering Programs,” in ASEE Annual Conference & Exposition Proceedings, New Orleans: ASEE Conferences, 2016. doi: 10.18260/p.25598.[6] E. A. Cech, “Culture of Disengagement in Engineering Education?,” Sci Technol Human Values, vol. 39, no. 1, pp. 42–72, Jan. 2014, doi: 10.1177/0162243913504305.[7] D. M. A. Karwat, “Self-reflection for Activist Engineering,” Sci Eng Ethics, vol. 26, no. 3, pp. 1329–1352, Jun. 2020, doi: 10.1007/S11948-019-00150-Y/TABLES/1.[8] K. V. L. England, “Getting Personal: Reflexivity
levels. Wefollowed ethical regulations and all the respondents were kept anonymous to for the protectionof their personal information but remain their titles and roles.Table 1 provides a brief description of the trajectories and positions of the participants in thisstudy. Both interviews conducted in person and online were audio recorded, in both cases therecordings were transcribed into words which formed the basis of the findings. In the datacollection and analysis phase, we adopt the narrative inquiry approach (Polkinghorne,1995;Clandinin & Connelly,2004) to identify, analyze, and explore themes emerging from the data,with aim to explore how educational activities happening in UIC are configured and shapeeducational collaboration in UIC
://en.unesco.org/science-sustainable-future/open-science/recommendation[27] Fostering Integrity in Research. Washington, D.C.: National Academies Press, 2017. doi: 10.17226/21896.[28] T. T. W. Community, “The Turing Way: A handbook for reproducible, ethical and collaborative research.” Zenodo, Jul. 27, 2022. doi: 10.5281/zenodo.6909298.[29] “The Carpentries,” The Carpentries. Accessed: Feb. 05, 2024. [Online]. Available: https://carpentries.org/index.html[30] C. Griego, Z. Ma, C. Zhang, A. Ouyang, and W. Hu, “Reproducibility Class 2023,” Jul. 2023, doi: 10.17605/OSF.IO/M2JXB.[31] C. Griego, “chaszg/iris_classification.” Jul. 17, 2023. Accessed: Feb. 05, 2024. [Online]. Available: https://github.com/chaszg/iris_classification[32] C. Griego
study did not measure the extent to which students were able to transfer skillslearned in this course to subsequent courses. Given that Technical Communications is afoundational course in our undergraduate program, which embeds writing across the curriculum[6, 9, 22, 23], we plan to employ common templates, exemplars, and rubrics in otherundergraduate courses where technical communication skills are required. Future research willinvestigate longitudinal transfer of technical communications skills by students from this courseto subsequent courses in their undergraduate programs of study.In future iterations of the course, we plan to embed workplace-relevant ethical considerationsinto assignments and meaningfully integrate AI tools to promote
Division Service Award. Estell currently serves as an ABET Commissioner and as a subcommittee chair on ABET’s Accreditation Council Training Committee. He was previously a Member-At-Large on the Computing Accreditation Commission Executive Committee and a Program Evaluator for both computer engineering and computer science. Estell is well-known for his significant contributions on streamlining student outcomes assessment processes and has been an invited presenter at the ABET Symposium on multiple occasions. He was named an ABET Fellow in 2021. Estell is also a founding member and current Vice President of The Pledge of the Computing Professional, an organization dedicated to the promotion of ethics in the computing
Learning Activities toImprove Procedural Capabilities and Learning Outcomes." International Journal of EducationalMethodology 9.1 (2023): 261-270.22 Carelli, John. "Achieving ABET Accreditation: An Outcome Assessment Case Study." 2020International Conference on Computational Science and Computational Intelligence (CSCI).IEEE, 2020.23 Lee, Ki-Hoon, Junsung Noh, and Jong Seong Khim. "The Blue Economy and the United Nations’sustainable development goals: Challenges and opportunities." Environment international 137(2020): 105528.24 Abulibdeh, Ammar, Esmat Zaidan, and Rawan Abulibdeh. "Navigating the confluence ofartificial intelligence and education for sustainable development in the era of industry 4.0:Challenges, opportunities, and ethical
that can be used to create more efficient and sustainable technologies. Connectingbetween biological systems and engineering design requires critical thinking and investigationfrom numerous system levels and viewpoints, thus emphasizing systems thinking [16]. In applyingbio-inspired design, functional modeling in engineering is performed analogous to functionaldecomposition of biological systems [17]. Integrating bio-inspired design approaches into anengineering course fosters creativity and innovation, enhances interdisciplinary learning,encourages sustainable and ethical design, develops problem-solving skills and providesopportunities for real-world applications [16], [18]. This effectively provides engineering studentswith a more holistic
industrial partner. Subsequently, students collaborate with industrialengineers to explore opportunities for deploying the solutions at a working level and scale upthe findings to incorporate the use of industrial-grade robotic arms in industrial operations.In the pursuit of professional practices in industrial collaborations, students surpass merehands-on knowledge application. These collaborations cultivate teamwork, effectivecommunication, and project management skills, offering insights into industry dynamics,regulations, and ethical considerations. The experience encourages adaptability andinnovation, fostering creative problem-solving. In addition to technical competence, studentsestablish a professional network, contributing to comprehensive
, Presentation skills, Technical language, Step by step Skills) explanations, Conflict resolution, Ethics, Original thinking, Ask for help, Delegate tasks, N/A How did the peer mentors Demonstration / Role model, Asking Questions, Listening, help you develop engineering Facilitating discussions/collaboration, Welcoming /friendly, social skills? Please share. Think like an engineer, Gave Advice /feedback, Gave (Social Skills) explanations, N/A, No interaction, No HelpOnce we generated the a priori codes, we collectively coded a small subset of data for eachtheme. We then individually coded a small subset for each theme and compared the consistencyof our
of mentors and advisors from nonprofit organizations also participated in curricularactivities, but the nonprofit partners were not involved in course instruction, and theirinvolvement in ongoing curricular design and programming was mostly limited to mentoringactivities that focused on exposing students to nonprofit models. Finally, the instructional staffwas supplemented by buy-outs of faculty with expertise in communication, humanities,engineering, ethics, and data analytics.Integral to the curricular organization of this academic plan were collaborative, cross-disciplinary projects where students were introduced to “real world problems” that they workedon in small groups or teams. Outside of this studio course, students were also
athriving individual in 2004, there is much more to consider amidst a global pandemic. Studentresponses detailed what thriving might look like during more difficult times.There was a large occurrence of students whose stories resonated with the dimension of “InternalAlignment” which Tobias defines as; “Is internally aligned, personally integrated, genuine,authentic, transparent; has a well-developed and well-articulated self-concept and value systemthat are consistent with feelings and behavior; stands for something; has a unifying philosophy andsense of purpose/mission; has vitality, zest/appreciation for life; has integrity and an ethical sense;is self-aware, insightful; is able to resolve internal conflicts; has humility and self-esteem
Social 3. Communicate with a larger audience. 4. Address ethical and professional responsibili es 5. Grow as a Team192193 3. PROBLEM-BASED LEARNING IMPLEMENTATION194 In retrospect, the evolu on of the first year experience for our students has developed along the195 precepts outlined in the Framework for High Quality Project Based Learning [29]. As such the remaining196 discussion will track six criteria presented by the HQPBL Organiza on. 6197 3.1. Intellectual Challenge and Accomplishment198 The first criterion for PBL established in the HQPBL framework is Intellectual Challenge &199
responsibilities and qualifications (n=29)In terms of qualifications, given that these roles seem to interface with internal and externalclients, communication (n=21) is the most demanded skill, followed closely by general computerskills (n=20) and interpersonal skills (n=18). Leadership is required for 12 positions and seem tobe mostly aligned with those that focus clearly on lean and change management. About one thirdof the positions also highlighted the need for sound ethical principles (n=10) and databaseknowledge or management (n=12). Moreover, despite several positions being lean-focused, theknowledge of lean tools is only required by four job postings, suggesting that employersunderstand they might need to train employees for these roles.Innovation
ethical researchprotocols, the researchers employed a multifaceted approach to ensure the transparency of thefindings presented in this study. This included utilizing well-validated measures throughout thestudy to enhance reliability and conducting inter-rater reliability checks to guaranteeconsistency in data collection. To further strengthen the validity of their conclusions, the studyincorporated triangulated data from multiple sources, including one-on-one interviews and athorough review of relevant academic scholarly journals.Results The following four themes emerged from the data analyses and in-depth case studyinterviews. First, institutional support and leadership commitment via female STEMmentorship programs appear to be pivotal factors
ethical concerns related to biomedical research, and be able to read,comprehend, and critically evaluate research papers, publications, etc., pertaining to tissueengineering.Selected VR LaboratoriesThis study administered commercially available desktop VR laboratory modules selectedfrom the suite of simulations produced by Labster. The selected labs were as follows: 1) CellCulture Basics: Plate, Split and Freeze Human Cells, 2) Fluorescence-activated Cell Sorting(FACS), and 3) CRISPR-Cas Applied to TGF-beta Induced EMT (CRISPR). We presentsample images and descriptions from these VR labs in Figure 1. The virtual labs selected forimplementation in the course and evaluated for this work were chosen based on theirapplicability and alignment with the
include religion, age, gender, etc. [8, 9].Although models using these predictors yield somewhat accurate results, they don’t consider thestudents’ work ethic or study habits. Therefore, we plan to factor in students’ efforts whenpredicting their course performance.One of the best ways to measure how much a student cares about their academic performance isto analyze their participation in the class [1, 10, 11]. A discussion forum is a platform that enablesstudents to seek help from their peers and instructors. Multiple studies have focused on producingand analyzing the statistical correlation between discussion forum data and student courseperformance [11, 12, 13]. While statistical correlations can benefit inference, student
work in teams Understand the motivations and perspectives of others Communication Convey engineering solutions in economic terms Substantiate claims with data and facts Character Identify personal passions Fulfill commitments in a timely manner Discern and purse ethical practices Contribute to society as an active citizenIn order to provide undergraduates with ample opportunities to exercise their EM and to practicethe 3 C’s, a curricular thread was developed and is woven through our core engineeringcurriculum at
carried out in person. Theduration of the interviews varied, with a minimum length of 45 minutes and extending up to an hour and ahalf. This range ensured a sufficient depth of conversation to explore the research questionscomprehensively.Data AnalysisInitially, in adherence to ethical research practices and to maintain confidentiality, all identifiableinformation, specifically the names of the participating teachers, was redacted from the interviewtranscripts. Subsequently, each teacher was assigned an alias, ranging from Teacher A to Teacher E, tofacilitate anonymous yet distinct referencing throughout the analysis and discussion phases of the study.The transcription of the interviews was initially conducted electronically utilizing web-based
assessment;artificial intelligence in educationIntroduction Research indicates that college and engineering students often lack essential skills requiredby employers, such as communication, decision-making, problem-solving, leadership, emotionalintelligence, and social ethics [1], [2]. This gap between college preparation and career demands isparticularly evident in the engineering field, where technical knowledge is prioritized over softskills like creativity, innovation, leadership, management, and teamwork [3]. Moreover, the shiftfrom traditional instruction to skill-based curricula has gained momentum in educational settingsto center the learner in education. This approach encourages students to engage in hands-onactivities, problem
where “Students must . 2be prepared for engineering practice through a curriculum culminating in a major designexperience based on the knowledge and skills acquired in earlier course work and incorporatingappropriate engineering standards and multiple realistic constraints”[3]. ABET requiresprograms to show evidences that students has developed the “ability to design a system,component, or process to meet desired needs within realistic constraints such as economic,environmental, social, political, ethical, health and safety, manufacturability, and sustainability”[2]. Available research suggests that project-based learning (PBL), appears to
ofstructure in the assignment—though less than for earlier papers—and asked to document theirsources in IEEE citation style. For the second part of this assignment, students wrote an articleabout RFID chips—what they are, current and potential uses, advantages and disadvantages—fora general, non-expert audience—with the purpose of educating less-technologically-expertreaders and advising them whether it was defensible (economically, technologically, ethically) topursue this type of technology.Students were required—in addition to addressing the usual rhetorical issues of thesis,organization/development, and citation—to design the article to be reader-friendly (includingappropriate illustrations) and to provide, at the end of the article, five
our students, we must work closely withIR to implement sensitive, ethical, effective approaches for how to report and how to act on data.Adopting prior education-research findings can help guide some redesign changes. Consultingwith our professional network on how their institutions address this challenge can also benefitour practice.Case Study: The Need for New Reporting and AnalysisIn preparing this Work in Progress, we requested data from our IR team. Their follow up taughtus areas in which we need to better understand what we track and how we use evidence tosupport students. Figure 4. This figure illustrates completion patterns for community college transfers and the differences between students who take a first