have high personal expectations to meetgoals and develop unrealistic expectations to achieve those goals. They tend to enjoycollaboration and are technically-savvy. The Millennials value opportunities formentoring and building on their skills.In addition, this generation requires more direct “cut to the chase” communications styleand enjoy participating in major organizational decisions as much as possible [3]. TheMillennial generation grew up in an era of unpredictable changes (extreme technologicaladvances, schoolyard violence, multiculturalism), so they have a need to change andadapt for survival [6].How will an educator translate this generational profile to the classroom and attract thesestudents to engineering and science careers? The
toward these science-y initiatives is only effective if you can get studentsexcited about taking these courses. This means that finding a way to break down wary students’preconceived ideas about what these STEM-based courses will entail and getting them intriguedand excited about these courses is critical in establishing a successful STEM-based strategy in aschool. This paper discusses how student feedback was used to promote and grow anengineering program at the high school level.Tolles Career and Technical Center partnered with Jonathan Alder School District to create twoSTEM-based pathways that could feed into the career center in the district: (1) Engineering and(2) Information Technology. Jonathan Alder High School, located in rural Plain
as the Technical Evangelist for the USA west coast area.Manuel Abraham Robles, University of Arizona Page 25.239.1 c American Society for Engineering Education, 2012 Attitude Control for Optimal Generation of Energy From Multiple Energy Sources Abstract This paper presents the design of algorithms and a low-cost experimental setup for a grad- uate course on hybrid control systems offered to non-electrical engineering majors. The pur- pose of the developed hands-on educational kit is two-fold
Professional Interest Council (PIC) III and as Vice President of PICs. She has received numerous national and international awards including the ASEE Fellow Award in 2016 and the Distinguished Educator and Service Award from the Physics and Engineering Physics Divi- sion in 1998. Dr. Larkin received the Outstanding Teaching in the General Education Award from AU in 2000. In January 2014 the Center for Teaching, Research and Learning at AU presented Dr. Larkin with the Milton and Sonia Greenberg Scholarship of Teaching and Learning Award 2013. In 2013 her paper entitled ”Breaking with Tradition: Using the Conference Paper as a Case for Alternative Assessment in Physics” received an award for best paper in a special session
visuallyexplore their NGSS coverage. Viewing the NGSS and associated curriculum this way facilitatesnavigating the NGSS and can help with assessment of alignments as lacking or anomalous. Modelingthe NGSS as a network also allows for the computation of network metrics to provide insight into corecharacteristics of the network. It also provides for detecting anomalies and unexpected patterns.Introduction: NGSS as a NetworkThe Next Generation Science Standards (NGSS) comprises a set of K-12 science and engineeringlearning outcomes, developed by the National Science Teachers Association (NSTA), the AmericanAssociation for the Advancement of Science (AAAS), the National Research Council (NRC), andAchieve with the assistance from 26 US states [1]. Released in
technical management fields [1]. Although generative AI technology has been around for over a decade, one could eventrace relevant research back to the 1960s [2], it was the release of ChatGPT, an AI-poweredlanguage model developed by OpenAI, that brought this innovative technology into the limelightand allowed general population to access it, disrupting not only the technology sector (e.g., IT),but more recently, the academic world in terms of content generation from both the students andfaculty perspectives. This WIP paper will not dive deep into the technicality of generative AI technology- thatis out of the scope of this study; but instead, it will focus on the experimental application ofChatGPT in the academic setting, to be more
student-generated soft robotics modules to impact the learning andinterest in soft robotics of both the students designing the modules and the students participatingin the modules once they are developed. Our project leverages a course structure called‘engineering clinics’, which are modified versions of capstone design experiences. Within clinics,third and fourth-year students engage in team-based projects with faculty or industry mentors. Theten students in our clinic were split into three teams and tasked with 1) surveying existing softrobotics designs and applications, 2) creating a soft robot prototype, and 3) designing a learningactivity around their prototype. At the end of the semester, student module designers were askedto self-report
usefulness, UI design, technical soundness, and presentation quality including the Q&A session. Notably, the external evaluators were unaware of the feedback exploration approach used. 4. ChatGPT Feedback: For some of the checkpoints, we provided students with the pre-designed prompts. They were encouraged to use these prompts, to seek feedback from ChatGPT on their projects. These prompts were tailored to the specific requirements of each checkpoint, which enabled ChatGPT to offer both comprehensive and detailed feedback.Fig. 1 presents the detailed steps involved in the process of retaining valuable knowledgeobtained from various sources throughout the course duration to build a more specializedgenerative feedback
significant tradeoffs according to network data collection method.Table 1. Summary of the study implications according to network data collection type. Data Temporal Scalabi- Need for Interaction Alter Interaction Collection Resolution lity Entity Uncertainty Bounding Type Method Resolution Bounding LMS High High Med.* Low High High Social High High Med.* Low Low High Media Close- Ended Low Med. Low Med. Med. Med. Name Generator Open
unwaveringsupport.Introduction and BackgroundFirst-generation college students face many challenges compared to their continuing-generationpeers when pursuing an undergraduate engineering education [1]. First-generation students oftenface additional barriers to success in engineering, like inadequate academic preparation [2], [3], alack of family support [4], and difficulty transitioning to postsecondary education [5], which canlead them to struggle academically [6]. First-generation students must overcome these uniquechallenges in addition to the challenges that are common in the broader population. Thetransition from high school to college not only represents a shift in academic rigor but also asignificant change in the learning environment and culture. In
environment to be less supportiveoverall [1]. In terms of science, technology, engineering, and mathematics (STEM) majors,studies have also found that first-generation students are 6% less likely to complete a degree inthese fields compared to their continuing-generation peers [2]. Research focusing on theengagement of first-generation college students in engineering is a topic that has not been widelyexplored up to this point. Because of the present battles that first-generation students face, moreresearch on their engagement is essential to aid them in achieving their educational goals.This work-in-progress (WIP) research utilizes the National Survey of Student Engagement(NSSE) as the main data collection instrument [3]. This survey is 40 questions
addition to making numerous other conference presentations. Straub’s research spans the gauntlet between technology, commercialization and technology policy. In particular, his research has recently focused on cybersecurity topics including intrusion detection and forensics, robotic command and control, aerospace command and 3D printing quality assurance. Straub is a member of Sigma Xi, the AAAS, the AIAA and several other technical societies, he has also served as a track or session chair for numerous conferences. American c Society for Engineering Education, 2021 Pandemic Response: Hybrid-Flexible Course Delivery for General Education Computer
Paper ID #31376Using Computer-Generated Concept Maps in the Engineering Design Pro-cessto Improve Physics LearningMr. Michael S Rugh, Texas A&M University Michael S Rugh is a third year PhD student focusing on mathematics education within the Curriculum and Instruction PhD track in the Department of Teaching, Learning, and Culture within the College of Education and Human Development at Texas A&M University. His current focus is on informal STEM education. Within this, he has taught for the past two years at ASSC, the Aggie STEM Summer Camp. He has over 16 presentations and publications and is constantly working on
metric reported isthe average quality score produced by the participant.NoveltyThe novelty metric is a measure of the uniqueness of a solution with respect to other (25,solutions generated for the same design problem during that idea generation session26) . The metric utilizes a bin system where solutions are sorted into one or more problemspecific bins. Once all solutions for the session are binned, each bin is assigned a noveltyscore according to the following equation. # 𝑜𝑓 𝑖𝑑𝑒𝑎𝑠 𝑖𝑛 𝑏𝑖𝑛 𝑁𝑜𝑣𝑒𝑙𝑡𝑦 = 1 − 𝑇𝑜𝑡𝑎𝑙 # 𝑜𝑓 𝑖𝑑𝑒𝑎𝑠
acquired in high school - they are predetermined by the industry andenterprise distinctiveness; secondly, competence is related to the experience of successfulactivity, during which skills are accumulated and developed. The path from the theoreticalfoundations of knowledge to the mastery in practice is not close, and in modern conditions ofthe technical regulation system formation the promotion is associated with a number ofproblems (Table 1) [4].Table 1.Problems of Quality Assurance in Higher Education when Training Specialists № Issues The General Description of Problem Field 1 Regulatory framework • incomplete process of developing educational standards; of specialist training in • legal and
Paper ID #15257Dedicated Curriculum, Space and Faculty: M.Eng. in Technical Entrepreneur-shipDr. Michael S. Lehman, Lehigh University One will find Michael S. Lehman at the intersection of entrepreneurship, science, and higher education. Dr. Lehman is a Professor of Practice at Lehigh University, co-developing and teaching in the Master’s of Engineering in Technical Entrepreneurship, which received national recognition for its role in talent de- velopment by the University Economic Development Association. The faculty appointment also includes roles with Lehigh’s Baker Institute for Creativity, Innovation and
, chemistry, or calculus beyond what they may have seen in high school inorder to participate in activities and learn concepts. Course objectives include demonstratingwhat a chemical engineer does (and how they think), introducing students to core chemicalengineering principles and skills, enabling students to clearly communicate technical data viagraphs and tables, and using data to draw conclusions. The over-arching goals for the course areto cultivate student’s interest in chemical engineering and broader STEM disciplines/classes andto encourage students to consider pursuing a career in STEM.In this course, students attend a weekly lecture, complete short pre-lab quizzes, participate in aweekly laboratory session following steps outlined in the
. Each data pointbeginning and end of semester IAT represents one student.bias scores were weakly negativelycorrelated, suggesting that some students who were implicitly biased toward engineering at thebeginning of the semester became less so.Paired t-test was used to determine if students’ career self-concepts changed over the course of asemester. Indeed, students’ implicit career self-concepts changed by an average of 0.1 ± 0.04(p=0.009 two-sided). In contrast, explicit career self-concept remained unchanged (0.03 ± 0.03,p=0.353). To put this on a more intuitive scale, the above change of 0.1 in the implicit measureis comparable to a change of 1 on the explicitly declared interest in engineering or clinical work.First-generation status
of this team was toidentify core technical competencies and create learning materials in generative AI for the2,800 undergraduate users of the Inno Wing. Additionally, these pioneering interns undertook Figure 1. The walkthrough hosted in the podcast studio, which has been upgraded with high-performance computing facilities to power the computationally extensive gen-AI software.initiatives to identify and address real-life problems. The experiences, results, and findingsfrom these real-life projects are being shared with the student community through knowledgeexchange workshops and seminars. For the 2023/24 academic year, the team consists of ninestudent interns.To ensure a comprehensive approach, the team actively engaged
. Page 26.568.1 c American Society for Engineering Education, 2015 Educating and Training the Next Generation of Industrial Engineers to Work in ManufacturingAbstractNow more than ever manufacturing in the United States needs a workforce with a blend of bothstrong hands-on trade skills and the technical problem solving skills typically learned through thecompletion of a Bachelor of Science in Industrial Engineering program. This paper discusses aholistic approach being taken in an industrial engineering program to increase student interest inmanufacturing by providing a hands-on educational experience in a manufacturing processescourse while providing ample opportunities for students to
University educators should be responsive to integrate this intothe content, organization, and delivery of high-level technical short courses.1. Introduction Much research has been undertaken to understand and enhance one primary mission ofthe University as an institution: the education of students. The bulk of this work has focused onan interaction where students go to the University in its own context, whether that be a physicalpresence on a campus or through distance learning programs. In each case, the tone of thisinteraction is largely set by the culture of the University, comprised of values, expectations, andstyles of communicating. This approach may benefit many students, who will grow and flourishin the University context; however
conference papers, in addition to making numerous other conference presenta- tions. Straub’s research spans the gauntlet between technology, commercialization and technology policy. In particular, his research has recently focused on cybersecurity topics including intrusion detection and forensics, robotic command and control, aerospace command and 3D printing quality assurance. Straub is a member of Sigma Xi, the AAAS, the AIAA and several other technical societies, he has also served as a track or session chair for numerous conferences. American c Society for Engineering Education, 2020 Work in Progress: Comparison of ‘Boot Camp’ and Traditional Academic
capstone projects and allows more challengingprojects to be undertaken.This paper will present the background of the technical proposal writing assignment within theco-op sequence. The results of the assignment on the generation of sponsored projects for thecapstone design sequence will be presented and discussed along with some examples of the typesof projects proposed and completed.IntroductionThe Accreditation Board for Engineering and Technology (ABET), has identified a number ofstudent outcomes that prepare students to enter the profession of engineering. Among theseessential student outcomes are the ability to identify, formulate, and solve complex engineeringproblems (Student Outcome 3), the ability to communicate effectively (Student
materials. As a member of IEEE’s Professional Communication Society, she serves as a book series editor for ”Professional Engineering Communication.” For the University of Wisconsin-Madison, she regularly holds workshops (both online and face-to-face) for practicing engineers all over the globe on how to improve their technical presentations.Thomas Dean McGlamery, University of Wisconsin–MadisonAmy K. Atwood, University of Wisconsin - Madison Page 22.1318.2 c American Society for Engineering Education, 2011Special Session: Moving towards the Intended, Explicit, and Authentic
amongstall involved and motivate student engagement and cooperation. This in turn leads to studentsachieving significant technical and non-technical learning outcomes and the course is recognizedby alumni and recruiters as highly effective at preparing students for theworkplace. Furthermore, despite the intense pace and depth and breadth of skills covered andassessed in the course, the fail rate is effectively zero.The course is offered twice each summer, each 6-week session currently accommodating up to84 students, with a Student-to-Professor ratio of up to 12:1 (yes, 7 faculty per session!). Thereare also writing instructors, a lab manager, and at least two TA’s working full- to nearly full-timeto help manage the course. There is 1 experiment per
the project. Morespecifically, by the end of the semester students were expected to: 1) Identify, describe and discuss the needs of the customer which are to inform the conceptual designs 2) Understand, research, and establish design specifications to meet the needs of the customer 3) Generate multiple conceptual designs using sketching, CAD, and Solidworks skills 4) Explore and evaluate the multiple conceptual designs using a number of methods (performance testing, decision-making strategies, sustainability principles) 5) Work effectively in a team setting 6) Develop a framework in selecting the conceptual design that is to be presented to the customer 7) Address and analyze the conceptual designs for basic
685mm x 355mm) without propellers 39” x 39” x 14” (990mm x 990mm x 355mm) with propellersWeight: 6 lbs. 14 ½ oz. (3132.5 gr.)Power: 1 kW (Max) 500 watts (Min)Rotors: 4Motors: 22 pole, out runner, brushless, 17 V (Max), 250 watts (Max)Propellers: 14” x 4.7” – Composite 6000 RPM (Max)Battery: 2 x 8000 mAh (C) 4S LiPo 10C (Max)Controller: 2 x Atmel SAM3X8E ARM Cortex-M3 CPU on Arduino Due development board @ 84 MHzWireless: XBee pro 60 mW (802.15.4)Acceptance Test. Since this is a project requiring new technical skills the following acceptancetests were proposed. The student also created videos on the test results and uploaded toYouTube
. At a weekly scheduled time and place, thestudents asembled to listen to a 1 hour pre-recorded (with audio) PowerPoint lecture. The lecturewas followed by a 15 minute chat session, featuring live audio/video, to answer questions andclarify concepts. Homework and laboratory reports were completed by the students outside theclass room, on their own time, and submitted to the instructor via e-mail, graded and returned thesame way. Blackboard, e-mail, and the telephone were used as communication devices. Analysis of homework and lab grades indicates that 3 out of 4 course objectives (seefigure 1) were comfortably met. Grades associated with the fourth objective, involving a termproject, showed that the attainment of objective 4 was
need for, and an ability to engage in life-long learning 10. a knowledge of contemporary issues 11. an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice5.These, of course, correspond to ABET general criterion 3 outcomes a – k5. Students respondedusing a 5 point Likert scale, with 5 = Strongly Agree, 4 = Agree, 3 = Neutral, 2 = Disagree, and 1= Strongly Disagree.The second part of the survey addressed how different components contributed to interest in andunderstanding of the course material. Again, a 5 point Likert scale was used, with 5 = VeryHigh, 4 = High, 3 = Moderate, 2 = Low, and 1 = Very Low.How well did each of these elements contribute to your INTEREST in the course
Paper ID #27326Panel Session: Connecting Theory and Practice in a Change Project - AndWhat I Wish I Knew Before I StartedElizabeth C. Harris, University of Wisconsin, Madison Elizabeth Harris has been part of the University of Wisconsin Madison’s College of Engineering since 2012. She approaches Engineering Education opportunities by leveraging her background in cognitive and systems engineering in addition to her background in education. She particularly enjoys working to improve the effectiveness of institutions, and the experiences of students, faculty, and academic staff by addressing the holistic ecologies present