, will be examined. The underlying tools of kinematics, dynamics, motion planning, and coordination will be overviewed. • Project 2: Motors This project is an introduction to the use of the LEGO Mindstorms NXT motors. • Project 3: Ultrasonic Sensor This project will introduce you to the Mindstorms ultrasonic sensor. The ultrasonic sensor can be used to determine the distance from the robot to an object. Sensor will be used to create a control system to have the robot follow a wall.3. Artificial Intelligence (8 hrs class) Computers can perform monotonous calculations efficiently and reliably, jobs humans don’t like to perform. However, computers have trouble understanding
Alternatives, makes an Assessment of the possible solutions, and arrives at adecision on a Plan of Action30 which is more of a scientific approach. The Four Quadrantmethod is more of a clinical approach which looks at the medical indications, patientpreferences, quality of life, and contextual features of the ethical dilemma in arriving at asolution.31 Teaching an analysis tool with the use of case studies can be an effective way to teachstudents bioethics and prepare them for the issues they will face as research scientists and 6 © American Society for Engineering Education, 2015 2015 ASEE
5923. Zhang, D. (2005). Interactive multimedia-based e-learning: A study of effectiveness. American Journal of Distance Education 19(3):149-62.24. U.S. Department of Education, Office of Planning (2009). Evaluation and Policy Development. Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies, Washington, D.C.25. Branoff, & T., Weibe, E. (2009). Face-to-Face, Hybrid, or Online?: Issues Faculty Face Redesigning an Introductory Engineering Graphics Course, Engineering Design Graphics Journal 73(1):25-31.26. Blicblau, A.S. (2006). Online Delivery Management for Teaching and Learning (EJ831917). European Journal of Engineering Education, 31(2):237-246.27. Moore, M. G
the respondent left. A secondaryquestion is also planned capture information on missing majors of interest. Indeed, commentswere generally positive and are probably best summed up by one student who wrote “I loved theschool of Mines! I wish I could have stayed but I decided to switch my major to math andsecondary education.” Figure 8. Factors that Influenced Students to Discontinue EnrollmentStudent perceptions regarding curriculum and instruction and campus life are shown below inFigures 9 and 10. Proceedings of the 2010 American Society for Engineering Education Zone IV Conference Copyright © 2010, American Society for Engineering Education
complete a questionnaire on all 3 modules before the class discusses any ofthem. The class discussion will focus on two of the three modules, and the students will beasked to submit revised answers about all three modules after the class discussion. We anticipatethat the Fountain Bench will be used frequently in the fluids lab to enhance students’ learningand at events held for K-12 students and the general public to show them how beautiful andinteresting fluid flows can be!AcknowledgementsThe Committee on Academic Planning and Development at the University of the Pacificprovided funding for materials and equipment. We thank Adrian Avila for securing materialsfrom different sources and for fabricating the apparatus.References1. Wankat, P.C. and
PlansGene believes GenAI has improved his quality of life, particularly through Be My AI, whichoffers accessibility-focused image recognition. Currently, Gene collaborates with research groupsnationwide to further integrate GenAI into accessibility tools, and he plans to pursue graduatestudies to expand his work in this field. His vision is to develop GenAI solutions that can reliablysupport accessibility needs in educational and professional settings, bridging the existing gapsthat limit students like him and Amanda from fully engaging in STEM.Joint Hopes for the Future of GenAIThe research team encouraged Ann and Gene to reflect on their experiences with technology,both in their youth and as adults, to provide a comprehensive context for their
authors1,2,3,4,5,6. This has been an on-going process for seven years,and has made SOEC an agile “incubator”. The emphasis upon “Agility” in engineering andsoftware development was signaled by the Agile Manifesto in 2001. Seventeen industry softwareengineers declared a change in the software development process. Thomas, one of the group ofseventeen, became a noted Ruby on Rails evangelist and publisher8. Rails invites agility. Agilesoftware development, unlike the rigid, sequential “waterfall” model for software development,consists of development methods based on incremental and iterative steps. In agile development,project requirements and solutions evolve through collaboration between cross-functional teams.It facilitates adaptive planning, development
. Planned work force development has helped in thepast for the job market at a specific point in time. The work force in the past two centuries wasgenerally geared towards industry needs based on conformity rather than creativity. Among thewell-known educational paradigms were behaviorism, constructivism, and cognitivist theory.B. F. Skinner, one of the main proponents of behaviorism, developed his idea of stimulusresponse and the role of reinforcement8, 9 in the learning theory. He argued that a human actionis the result of the consequences of the same action. If the consequences are positive the actionthat led to it is likely to be repeated; if the consequences are negative, the action is not likely tobe repeated. According to behaviorism, a
documents (e.g., test plans and test reports) so as to better meet ABET Outcome 3g.This team-teaching initiative was implemented in a single section of capstone; over several yearsthe initiative proved to be successful as student presentations and documentation demonstratedmeasurable improvement as assessed at the beginning and the end of each term. Therefore, team-teaching was implemented throughout the capstone courses, so that by 2009 all sections of seniordesign capstone were team-taught by pairs of AE/ME and COM faculty2.Embedding a COM instructor in each AE/ME capstone course provided students with an in-classresource regarding communication or teamwork skills. Communication instruction was tailoredto the specific capstone project and
California and one in Henderson, Nevada, and online. At National University, Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education 207courses are taught in a one-course-per-month format, giving students the ability to focus onlearning one course at a time and the flexibility to pursue an academic plan at their own pace.Since the BS Computer Science degree was first awarded by National University thirty-one yearsago, the program has continually evolved to align with the improvements and innovations madein field of
305 Accreditation Board in Engineering and Technology (ABET). Then we identify topics in the ACM curriculum for Information Technology that are relevant to Big Data concepts and map them to a specific undergraduate program. We also present the courses in a masters level program in Information Technology and examine the relevance of these courses to Big Data education. present a short review of the curriculum of Information Technology in a typical four-year undergraduate and graduate levels today. We then identify courses that are relevant to concepts in Big Data. We present the current scope of the Big Data industry and the core concepts of Big Data technology. This is then followed by a plan for adoption of the Big Data concepts in to
ResearchThe authors plan to expand the data set presented in this paper to include a much larger numberof respondents. The current working concept is to contact the 181 schools designated asNational Security Agency (NSA) and Department of Homeland Security (DHS) Centers ofAcademic Excellence requesting their participation. Increasing the number of respondentsupward toward 100 in number would allow a more statistically valid analysis.AcknowledgementsThe authors wish to thank the editors and staff of the Pearson Education Computer Sciencedivision for their assistance in identifying survey participants and support of the survey process.Bibliography1. Padman, V. & Memon N. (2002). Design of A Virtual Laboratory for Information Assurance Education
September 25, 2013, from http://www.whitehouse.gov/the-press-office/2012/01/24/remarks-president-state-union-address17. Executive Office of the President President’s Council of Advisors on Science and Technology (2011). Report to the President on Ensuring American Leadership in Advanced Manufacturing, p.9. Retrieved September 25, 2013, from http://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-advanced- manufacturing-june2011.pdf18. The Boston Consulting Group (2013). Majority of Large Manufacturers Are Now Planning or Considering ‘Reshoring’ from China to the U.S. Retrieved September 25, 2013, from http://www.bcg.com/media/PressReleaseDetails.aspx?id=tcm:12-14494419. Sirkin, H. L., Zinser, M., and
, more women are currently encouraged topursue construction as their professional fields. This study examines potential associationsbetween gender and students' motivations for joining the construction program, the obstaclesthey encounter, their expectations, and their future career plans. Data from all first, second, andthird-year students in the Building Construction Science (BCS) program at Mississippi StateUniversity were collected using a quantitative survey. The survey covered different aspects ofstudents’ experiences and decisions. The results showed that both male and female students wereattracted to the program because of job opportunities, relatively high salary, and the challengingnature of the program. However, there were some clear
visualization experience, allowing them to engage with spatial relationships andstructural details that are often challenging to interpret from traditional 2D plans alone. Thecombination of Unity and Vuforia enabled seamless overlay of 3D models onto physicaldrawings, enhancing both usability and engagement. The results of the post-session surveydemonstrate a positive response from participants, with the majority agreeing that the applicationimproved their comprehension of 2D to 3D conversions and facilitated a better grasp of spatialrelationships within the drawings. Participants also reported increased motivation andengagement, which are critical factors in effective learning. The high recommendation ratefurther suggests that this AR tool has
at international, national, and local professional meetings and conferences. Lastly, Najafi attends courses, seminars, and workshops and has developed courses, videos, and software packages during his career. Najafi has more than 300 refereed articles. His areas of specialization include transportation planning and management, legal aspects, construction contract administration, public works, and Renewable Energy.Mr. Jack Cuilla, University of Florida Jack Cuilla is a freshman in the Department of Electrical Engineering at the University of Florida. His academic interests include renewable energy, solar technology, residential power systems, and energy conservation. He is particularly focused on gaining
ofbreakout rooms, personalized support, and hands-on activities in overcoming the inherentlimitations of online learning. Similarly, Chiang [3] demonstrated that online STEM camps couldsignificantly enhance students' self-efficacy and computational thinking when structured topromote active engagement and cross-disciplinary learning.Our coding camp was developed within this context, initially planned to launch as an in-personexperience in 2021. When the pandemic necessitated a shift to a virtual format, the campunderwent a series of adaptations aimed at preserving its interactive and experiential learningfocus. Drawing on insights from the literature, we implemented a student-centered approach thatleveraged small-group interactions, personalized
roll angles for each individual cell. The control algorithmdistributed control algorithms across the entire system. The uses a hierarchical design where the higher level handles theclassical form of centralized decision making is restrictive for path planning and the lower level determines how to generatemany of the highly sophisticated processes used in modern the motion required to follow the path. Similar distributedsystems. LSANs provide robust and reliable performance
GAGs density, were repairing.not statistically significant for the strength of Collagen-GAGmatrix in 3D rendering. However in 2D rendering, a significant A. Collagen Geometryfactor found was the radius of collagen in matrix for the GAGsdirected to orthogonal plane of Collagen-GAG matrix. Between Collagen is a highly structured hierarchical protein [2]. Thetwo cross-section selected from Collagen-GAG matrix model, the basic unit of collagen, tropocollagen(TC) molecule, isplane cross through collagen fibrils was symmetrically configured as a right-handed triple helical structure. TC isdistributed but the peak located at orthogonal plan was deducted approximately 1.5nm in diameter and
science education (i.e., [6]). Increasing this talent pool includes attracting andretaining populations of students who have been historically underrepresented in STEM (science,technology, engineering, and math) professions.One group of students who have been underrepresented include neurodivergent students, who areestimated to be as much as twenty percent of the population [7]. For many neurodivergentstudents an individualized education plan, or IEP, is required by the Individuals with DisabilityEducation Act (IDEA) for elementary and secondary education but not for higher education. Andfor those neurodivergent students who enroll in higher education, an individual accommodationplan, or IAP, is required by the Americans with Disabilities Act
development. It offers flexibility to includeadditional features or to modify the scoring algorithm to introduce more or less bias. Furthermore,it can be expanded to address biases against other demographics, such as age or race, making it avaluable tool for teaching the complexities of fairness in AI systems. This adaptability ensures thecase study remains relevant and impactful in diverse educational contexts.Future work will include assessing the learning impacts of the case study in a classroom setting.We plan to evaluate the effectiveness of this tool as a means of educating students on bias inmachine learning by implementing pre- and post-class surveys. These surveys will measurechanges in students’ understanding of key concepts, such as the
, timemanagement, leadership, ethical principles, and interpersonal skills. In alignment withaccreditation requirements, we can visualize this mapping by adding components in core coursesthroughout the curriculum (e.g., assignments) and planning for or reinforcing dedicated courses(e.g., communication skills and machine learning within chemical process simulation). A designspine within our UG Chem Eng curriculum would require, therefore, a critical path of coursespreparing students for the capstone project, fed by technical and soft skills acquired in core andoptional courses, while adding assignments/projects in core and optional courses, for dedicatedunit operations and reaction systems. An example of implementing non-traditional technical skillsand
maps and to take measurements (before the session) of the received spectrum using their RTL-SDR or ADALM Pluto SDR devices from the neighboring cell towers, as discussed in the previous lab session. During the class, students compared their measurements taken on campus with the simulation results obtained running the MATLAB simulation and evaluated the accuracy of the implemented simulation scenario in terms of its use as a radio planning tool. The students were asked to work in mixed groups allowing students from one campus to compare simulated results with actual campus measurements taken by their partners located in the other campus. Figure 6. Simulated Received Power for the
satisfaction between Surveys One and Two, which canalso be further investigated through follow-up surveys.There is the possibility of gathering personality types based on a different scale (i.e., Myers-Briggs,DISC assessment). However, the current application that the authors use to register participantsin the mentoring program is extensive, so adding a long personality test may deter students fromregistering for the program.After an extensive search, the authors concluded that prior research on factors and/or methodolo-gies used to intentionally match a mentee with a mentor is sparse, particularly for undergraduatepeer mentoring. We plan to continue this area of research to elevate the undergraduate peer mentor-mentee pairing process, specifically
became an aspiration. The aspirationalcommitment to CR made them more aware of systemic limitations within higher education. Hereis a student articulating that kind of critique: It's really hard to make some research to be convergent... You need a lot of time and planning and you need to be inspired by [the research] you actually want to work on...[The] majority of professors... Not just professors. All of us ... have tasks, [and] we want to finish [them], and that's it. But, I feel like a lot of, uh, professors are not ... engaged to make something convergent. They just want to fill a task that is [determined] by NSF or whoever else.Engaging with destabilizing feedback in CR can be discomforting and
Student Outcomes in an Innovation-Based Learning Course,” presented at the 2021 ASEE Virtual Annual Conference Content Access, Jul. 2021. Accessed: Jan. 12, 2025. [Online]. Available: https://peer.asee.org/innovating-assessment-using-innovative-impact-as-a- metric-to-evaluate-student-outcomes-in-an-innovation-based-learning-course[7] A. R. R. Relente and E. P. S. Capistrano, “Innovation self-efficacy, theory of planned behavior, and entrepreneurial intentions: The perspective of young Filipinos,” Asia Pacific Management Review, p. 100350, Dec. 2024, doi: 10.1016/j.apmrv.2024.100350.[8] L. Singelmann, E. Alvarez, E. Swartz, M. Pearson, R. Striker, and D. Ewert, “Innovators, Learners, and Surveyors: Clustering Students in an
data scientist would be thenatural instructor to lead the data-analysis side of the project, an academic librarian would bemost appropriate to discuss the information literacy skills. Accordingly, we developed a programwhere the data science projects would also include an information literacy facet to be guided byan engineering librarian.This work-in-progress paper discusses the lessons learned from this initial collaboration,feedback from the students who participated in the project, and our plans to continue thecollaboration into the Spring 2025 semester. Quantitative surveys of students in the projectsexhibited positive trends with respect to their familiarity with statistical concepts and increasedconfidence in their data science skills
that team size doesnot significantly impact performance. Additionally, teams competing in the world championshipshad slightly more FTC experience on average than at the state and regional levels in both seasonswith p-value <0.05. Table 2 presents the average expenditure, team size, and FTC experience inyears. On average, an FTC team may need two to three years to grow and advance to the worldchampionship, suggesting a potential timeframe for FTC coaches to strategically plan trainingand development to build a well-established FTC team.Notably, the percentage of school-affiliated teams decreased significantly from regional to stateto world championships in both seasons. This trend suggests that community-affiliated teamswere more likely to
, Michael Sailer, Albrecht Schmidt, Matthias Stadler, Jochen Weller, and Jochen Kuhn. Are Large Multimodal Foundation Models all we need? On Opportunities and Challenges of these Models in Education. January 2024. doi: 10.35542/osf.io/n7dvf. [8] Bihao Hu, Longwei Zheng, Jiayi Zhu, Lishan Ding, Yilei Wang, and Xiaoqing Gu. Teaching Plan Generation and Evaluation With GPT-4: Unleashing the Potential of LLM in Instructional Design. IEEE Transactions on Learning Technologies, 17:1445–1459, 2024. ISSN 1939-1382. doi: 10.1109/TLT.2024.3384765. URL https://ieeexplore.ieee.org/document/10490240. Conference Name: IEEE Transactions on Learning Technologies. [9] Nicy Scaria, Suma Dharani Chenna, and Deepak Subramani. How Good are