laboratory conditions, the research aims to provide practical insights for educatorsconsidering these tools. The findings will contribute to broader discussions about technology-enhanced learning and the evolving relationship between artificial intelligence and humaninstruction in technical disciplines.Literature ResearchRecent advances in LLMs have shown their potential to transform educational settings, particularlyin programming courses where timely, detailed feedback is important. Fagbohun et al. [1] statesthat LLMs can automate grading with personalized feedback but that they still require carefulhandling of biases combined with human supervision to ensure that LLMs are fair and efficientand to reduce the occurrence of ethical risks like
technical knowledge as well as account for the social and contextual factors thatboth shape and are shaped by engineering processes and solutions. There are numerous calls(e.g., [1] - [5]) for engineering education to help students develop what we refer to as sociallyengaged engineering skills - which relate to conducting engineering work from a holistic andinclusive perspective by gathering, utilizing, and equitably applying rich and diverse contextualinformation about stakeholders, communities, ethics, the environment, and economic factors.Engineering training, long rooted in technocentric views about the nature of work in the field,has typically stressed the development of technical competencies while underemphasizingsocially engaged aspects of
sponsors). Generally, to provide a good tour experience for all, be sure to start six to eight weeks before the event, honor all timing constraints, and follow a checklist and timeline for the event. Start the process with lining up a good match between a school program and a company. Know what the company does, what it makes, how much time they need or want to have the students visit (usually 60-90 minutes),what areas of the plant the students will see, and generally, what the host can offer for the tour. For example, if the company makes components for aircraft or aerospace, an aeronautics or aerospace focused technical program might be a good fit, but that career
time or before the first technical computer science course. Students usea custom-designed rubric, which guides the analysis of issues of professional morality and ethicsin a manner that fits into a general engineering process. They apply the framework to multiplecases, mostly drawn from current industry, such as [8], and [9].These cases include situations in which bias is reflected in the context of actual computer-sciencerelated work (such as [9], [10]), and in the design and application of computer-science productsthat reinforce that bias (such as [8], [11]). The students work in teams to apply aproblem-solving rubric based on Rawls’ Theory of Justice ([4]) and draft proposed solutions thatcan be enacted to improve the situation in
pre-lab. The remaining students indicated that theyhad attended the training during welcome week events, before they were required to do so, or aspart of a summer STEM program. Of all respondents, 76 (37%) had previously used amakerspace or similar fabrication facility. Following the required safety orientation, 122 studentsindicated that they continued to use the makerspace for their course project and 82 that they hadsince used the space and tools for a personal project. These combined responses of continued useafter training are shown in Figure 1.Of the respondents, 59 (29%) responded that they had attended additional makerspace training.These trainings were listed on the general training calendar and did not require prior sign up
approach involves the following steps: 1. Prompt Engineering: Develop effective prompts for LLMs to generate code for interactive components and exercises. 2. Code Generation: Use LLMs to generate initial code for simulations and exercises. 3. Refinement and Integration: Refine the generated code and integrate it with Gradio for inter- active interfaces. 4. Deployment: Deploy the interactive resources on Google Colab for student access.For example, to model a simple flip-flop, the prompt is: 4 Prompt Please create an interactive FlipFlop Type D, where the user has a clock and data check-box switches, and an output color LED. Using svgwrite and iwidgets in
to text-based coding activities, utilizingBlockly’s ability to generate code from multiple languages from block-based programs. Finally,we are looking to integrate PRIME into more classrooms and develop more refined assessments tobetter evaluate PRIME’S effects on both student CS knowledge and attitudes. References[1] J. Ferguson, M. Roper, M. Wood, and L. Ma, “Investigating and improving the models of programming concepts held by novice programmers,” Comput. Sci. Educ., vol. 21, no. 1, pp. 57–80, 2011.[2] C. Latulipe, N. B. Long, and C. E. Seminario, “Structuring Flipped Classes with Lightweight Teams and Gamification,” in Proceedings of the 46th ACM Technical
on contextual learning theory, which espouses methodsthat link technical content to an applied context. Its stages progressively guide students fromconsideration of the overarching societal and technical context of a problem, through thediscipline-focused exploration of a related application, and ultimately back to the broad problemcontext to analyze both the contributions and limitations of an engineering approach. Wedescribe how this framework was incorporated into two courses in the Fall 2012 semester: 1) anintroductory course on computational methods taken by all first-year engineering students, and2) an upper-level Electrical and Computer Engineering elective in signal processing.2. Framework DescriptionMeaningfully integrating real
Engineer at Honda. List the major modules you will Item 1 need to design. For each module, list the primary issues or requirements that you thinking will drive the design of function and form. When developing the next power generator you expect to work with engineers, as well as Item 2 individuals in the following fields.Data Coding: Each item was coded as showing evidence (or not) of one of five factors: technical,global, societal, economic, and environmental. These five factors are outlined in Table 3. Thesample responses in Table 3 are excerpts from ten different students that are representative of theresponses on the survey. Note that many students would list numerous technical details and theninclude brief
Technical University of Cluj-Napoca, in 1998. From 1991 he is with the Technical University of Cluj-Napoca, Faculty of Electronics, Telecommunications and Information Technology. He is currently a Professor in the Department of Applied Electronics, Technical University of Cluj-Napoca, Romania, teaching in the areas of digital and data acquisition systems. His current research interests include data acquisition systems, FPGA design, and new educational methods to teach digital systems design. Since 2006 he is also the General Manager of Digilent RO, the Romanian branch of Digilent Inc. He used to be a Visiting Professor at Washington State University, Pullman, Washington, USA in 1999-2000. c
relevant cases. More details about this research project are providedelsewhere 1.This was a broad project with many aspects. It built on prior work developing failure casestudies for incorporation into engineering courses, with specific application to civil engineering,engineering mechanics, architectural engineering, civil engineering technology, and constructionmanagement.Failure case studies may be used in engineering courses to address technical topics as well asnon-technical topics, such as management, ethics, and professionalism. The authors havedeveloped a number of failure case studies for classroom use. Studies have been carried out overseveral semesters in order to assess the use of failure case studies in civil engineering
available to the localcommunity for 3D printing and scanning services. Youth who work in the print shop have theopportunity to 1) develop and maintain technical skills; 2) hone “design thinking” skills throughreal-world problem solving; and 3) develop important soft skills (including working with aclient, creating and sticking to a project timeline, and professionalism).Our research is investigating many areas of maker and design thinking, the impact of maker jobs,and how to establish and maintain a community 3D print shop. This print shop has been designedto be a living laboratory to evaluate commercial and research software for 3D modeling,scanning, and fabrication software with youth performing real-world tasks.Related Work3D Printing and
goals for the optimal design include (but are not limited to) minimizing pressure loss to delivery points (faucet exits) and minimizing both the quantity of fresh (city) water coming into the residence hall and that exiting to the sewer. You have also been asked to develop a small model of a grey-water system as this is a technology that may be unfamiliar to certain stakeholders. Your goals for a 1/12th scale model are to best demonstrate the plumbing and equipment necessary to effectively implement grey-water recovery/reuse with a green roof and rain water capture. There are myriad sources of technical information about grey-water systems, rain water capture, and green roof installations available online and in trade
Built Environ- ment at Arizona State University (ASU). Kristen’s work focuses on integrating energy efficiency measures into building design, construction, and operations processes. Specifically, she is interested in novel design processes that financially and technically facilitate energy-efficient buildings. Her work also explores how principles of lean manufacturing facilitate energy-efficiency in the commercial building industry. Another research interest of Kristen’s is engineering education, where she explores how project- and experience-based learning foster better understanding of engineering and management principles. Prior to joining ASU, Kristen was at the Lawrence Berkeley National Laboratory (LBNL) as a
Paper ID #29371Solutions for Hiring Manufacturing Technology InstructorsProf. Karen Wosczyna-Birch, CT College of Technology Dr. Karen Wosczyna-Birch is the Executive Director and Principal Investigator of the Regional Center for Next Generation Manufacturing, an National Science Foundation Center of Excellence. She is the state director for the College of Technology, a seamless pathway in technology and engineering from all 12 public community colleges to 8 public and private universities. Dr. Wosczyna-Birch has expertise with both the recruitment and persistence of under represented populations, especially women, to pursue
solution. The paper assignment encourages a deep explorationof the social and technical aspects of the problem without prioritizing either and with explicitinstruction for students to not propose a solution. Example topics chosen by the students includeocean acidification, housing affordability, and declining bee populations.Student FeedbackThe project external evaluation consultants conducted a site visit during the last third of the termthat included class session observations and student focus groups. Overall student feedback ontheir first quarter experience to date was generally positive as illustrated by the selected studentcomments below. • [Structure and Curriculum] “I mean the curriculum's been designed to make us do as much
educating students tobecome knowledgeable of AI and aware of its interrelated technical, social, and humanimplications. The latter (ethics) is particularly important to K-12 students because they may havebeen interacting with AI through everyday technology without realizing it. They may be targetedby AI generated fake content on social media and may have been victims of algorithm bias in AIapplications of facial recognition and predictive policing. To empower students to recognizeethics related issues of AI, this paper reports the design and implementation of a suite of ethicsactivities embedded in the Developing AI Literacy (DAILy) curriculum. These activities engagestudents in investigating bias of existing technologies, experimenting with ways
LearningAbstractTechnical courses taught in a university setting focus exclusively on technical elegance.Although such a narrow, academically rigorous approach is successful in imparting technicalcompetence in the subject at hand, students do not get an adequate sense of how the practitionersin their profession interact with their counterparts in other professions in the real world. The aimof our cross-disciplinary “Mobile App Development” course is to remedy this missed opportunityby providing an opportunity for students and faculty members from three different disciplines(engineering, computer science, and business) to experience and learn the nuances of each others'fields, while simultaneously introducing the concept of entrepreneurship. Such an unorthodoxmix
developed. Thelearning is deductive only and provides no context for students on why they are learning thematerial or how it will apply to their future engineering careers [1]. Many pedagogical tools thataim to establish connections between the engineering curriculum and industry practices havebeen investigated and implemented with varying degrees of success, such as project basedlearning (PBL) [2,3] competency based learning (CBL) [4], and inductive teaching [1]. However,adjustments to the curriculum to support these alternate pedagogical tools may still overlook theformat of the corresponding assessment items. Assessment techniques that have not beendesigned specifically to complement the course remain in a generic format that is only relevantto
Foundation awarded a three-year grant to the participatinginstitutions of Clemson University, Greenville Technical College and the SC AgricultureEducation Program to design and implement a three-tiered plan to prepare secondary, technicalschool and college students for the growing biomanufacturing/bioprocessing industry. Page 23.969.2Industrial production of biopharmaceuticals, nutraceuticals and biofuel compounds has grownsubstantially worldwide in last 10 years. In the US alone, biofuel production in 2011 had reached15 billion gallons (57 billion liters) per year.1 As this trend continues, the need for skilledtechnicians, engineers and scientists to
Exercises: A set ofquestions are generated from the RP manuals in order to test the basic knowledge of the studentsin handling them. Then, the results of the students are analyzed and used for further tutoringmethods. FAQ’s: A list of frequently asked questions will be provided with the answers tofacilitate the whole process of operation of RP. The set of questions will include the commonmistakes made by the students while operating the RP’s and also other general information willbe provided using this option. Help (Manual): A manual containing the screen shots of theoperation by an expert will be provided which can work as an help also. These manual containsthe technical information related to the FDM 3000. In general, the proposed TS is based on
writingexperiences influenced their abilities to write engineering laboratory reports. To accomplish this,writing transfer models were implemented. Theories of learning transfer [5, 6] describe how pastexperiences affect learning in a new setting or situation. In this case, how writing was learned ina previous course affected student’s abilities to write engineering laboratory reports. Studentswere classified as belonging to one of the three transfer groups below. 1. Concurrent Transfer – students who have taken technical writing prior to or concurrently with an engineering laboratory course 2. Vertical Transfer – students who have taken a general education composition course prior to an engineering laboratory course 3. Absent Transfer
formation experience.2.3 Current Research on School to WorkWhile design education research focuses on classroom practices and experiences, currentresearch on engineering work provides a rich set of studies that highlight the contrast betweenindustry and academic practices 1. Work by Trevelyan 2, Buccarelli 21, 48, Anderson et al. 3, andothers consistently highlights the complex, heterogenous, socio-technical nature of engineeringwork that contrasts sharply with the individual, isolated, closed-ended problem-solving thatcharacterizes much of students’ school experiences. Recent work by Kotys-Schwartz andcolleagues, moreover, has specifically explored differences in design practices between capstoneand industry via learning ethnographies 10, 11
in “both” ways – or, more accurately, to ideate along a continuum of thinking that willenable them to generate ideas from radical to incremental (and every point in between) asneeded.Based on Kirton’s8 cognitive diversity research and several exploratory studies with engineers9,11 , we expect to be able to characterize engineers’ preferred ideation approaches. Using Kirton’scognitive style construct and terminology, engineers that are “more adaptive” can becharacterized as preferring more incremental change, whereas engineers that are “moreinnovative” can be characterized as preferring more radical change8. As shown in Figure 1, wehypothesize that ideation behaviors can be shifted from one’s natural preferences through theway a problem is
students to understand their own natural approaches to idea generation and to learnhow to approach idea generation in other ways.The focus of our work is ideation flexibility, what we define as the ability to ideate in bothincremental and radical ways – or, more precisely, to be able to ideate along a continuum ofapproaches depending on the needs of the problem. Based on existing research, we expect threekey factors to influence ideation flexibility: 1) problem framing (the way a problem and itsconstraints are “set”); 2) the use of ideation tools; and 3) ideation teaming (interactions withothers during ideation). Our research investigates the impacts of these key factors on engineeringideation flexibility and correlates them with students
design focuses on the factors affecting design cognition and ways to modify the same toeffectively improve the generation of novel ideas. Physical models are tools that can helpdesigners in this regard. Physical models refer to any kind of prototypes that designers build atany stage of the design process1. They range from very simple to highly complex, non-functionalto fully functional prototypes2. Figure 1 shows an example of various physical models used byNASA in the development of common lunar lander3.Despite the use of physical models as idea generation tools, there are no clear guidelinesavailable in the literature regarding their use. This makes the implementation of physical modelsdifficult for students and novices. The famous product
, methodologies, resources, and assessments to meet outcomes. UDL’s frameworkis founded on the following three principles based on neuroscience research: (1) providingmultiple means of representation, (2) providing multiple means of expression, and (3) providingmultiple means of engagement [31]. To follow the UDL model, the web-based interactive 3Dsimulator will have two derivative formats (Videos and Text-based material) to provide optionsfor better learning.MethodologyOverview of Software DesignThe task of the first year of the proposed three-year project is to build scenarios into thesimulator. Extensive research and industry experience is essential to designing a working windturbine simulator, no small part of which is the generation of detailed
examples from our respective experiences teaching engineering” (Lande, Jordan, & Weiner, 2017). § “Makers are a growing community of STEM-minded people who bridge technical and non-technical backgrounds to imagine, build and fabricate engineering systems. Some have engineering training, some do not. We explored the educational pathways of adult Makers and how they intersect with engineering” (Foster, Jordan, & Lande, 2017). § “This research is guided by the following research questions: (1) What can we learn about the educational pathways of adult Makers through the lens of constructivist grounded theory? and (2) How do the educational pathways of Makers intersect with engineering? This
c American Society for Engineering Education, 2012 From Defense to Degree: Accelerating Engineering Degree Opportunities for Military VeteransMotivationThis paper addresses curricular issues involved in integrating post-9/11 veterans into theengineering workforce. A 2009 NSF Workshop on Enhancing the Post-9/11 VeteransEducational Benefit1 indicates that new, more generous veterans’ educational benefits create anopportunity to expand the technical workforce while benefitting those who have served ourcountry. The workshop further indicates that the veterans include a diverse and qualified pool offuture talent for the nation’s engineering and science employers.Technical focusBased on this opportunity to
resources through publications and global educators networks. Evaluate the learning impact of the evidence-based instructional resources: Objective 2 a. Assess student engagement in learning. b. Assess student ability to recognize and formulate interrelationships across disciplinary boundaries. c. Assess student ability to create bio-inspired designs.Accomplishing Objective 1: Creating and disseminating instructional resources:Salgueiredo [1] summarizes the various theoretical frameworks available for understanding bio-inspired innovative design, which include general design theory, axiomatic design, coupleddesign process and C-K design theory. From this summary, we have