their classes, and how they are expected to solve problems if theypursue a career in engineering [1]–[3]. Engineering science courses typically assign closed endedproblems which have one answer and one method of finding a solution, and are expected to becompleted individually, in contrast to the open endedness of real world problems which aresolved through collaboration and fusion of engineering judgment and conceptual knowledge tocreate a solution, rather than find the “accepted” one. Engineering science courses (e.g.thermodynamics, statics, and dynamics) serve to provide students with the tools to solveengineering problems in the form of physics and mathematics knowledge, although theytypically do not provide students the ability to utilize
students that study-abroad etc., whichextended well beyond the original study-abroad intent 17.Based upon feedback from the 2012 program participating students, several modifications to the2013 program were undertaken 1) moving the summer program start date up to the beginning ofJune, which would allow the students a stay of up to 90 days, 2) the school of engineering isplanning to organize a short-course on Japanese corporation’s advanced technology that includestours of factories near Tokyo and 3) change from paper based application to online submission.Finally, the call for participation was issued 3 months in advance of application deadline.Outbound student applicants from Tokyo TechAs noted above in 2012, only 11 Japanese students were
experiments and analyze and interpret experimental data d. Creatively design systems, components, and processes e. Function effectively on teams f. Identify, analyze, and solve technical problems g. Communicate effectively h. Recognize the need for and engage in life long learning i. Understand professional and ethical responsibilities j. Understand the impact of solutions in a professional, societal and global context k. Exhibit commitment to quality, timeliness, and continuous improvementThis general criteria also serves well as criteria for evaluating the capstone experience.Lean Six Sigma Certification varies widely and there is no official certifying body. Historically,certification has been controlled by the consulting industry
]. Available: https://heinonline.org/HOL/Page?handle=hein.journals/yjfem4&id=7&div=&collection=.[11] Author1, redacted for review.[12] D. G. Solórzano and T. J. Yosso, “Critical Race Methodology: Counter-Storytelling as an Analytical Framework for Education Research,” Qual. Inq., vol. 8, no. 1, pp. 23–44, Feb. 2002, doi: 10.1177/107780040200800103.[13] R. Miller, K. Liu, and A. F. Ball, “Critical Counter-Narrative as Transformative Methodology for Educational Equity,” Rev. Res. Educ., vol. 44, no. 1, pp. 269–300, 2020, doi: 10.3102/0091732X20908501.[14] Secules, S., McCall, C., Kali, M. B., & Van Dyke, G. (2023, June). Audio for Inclusion: Broadening Participation in Engineering Through Audio
learning beyond the walls, and designing exhibit and program experiences to inspire our diverse audience of English Language Learners. Prior to NYSCI, Ms. Bennett conducted foundational work in gender equity and design-based STEM edu- cation through EDC’s Center for Children and Technology, Bank Street College of Education, and Sesame Workshop, collaborating with national and international partners such as IBM, the Australian Children’s Television Foundation, higher education schools of engineering, and k-12 educators nationwide to create hands-on design experiences and digital media that invite diverse learners into STEM.Dr. ChangChia James Liu, New York Hall of Science Dr. Liu’s work focuses on motivation in
and large language models, computervision has emerged as a rapidly growing field within artificial intelligence. Computer visioninvolves the use of algorithms to analyze visual stimuli, mimicking our ability to perceive theenvironment around us through vision. This technology has driven advancements across multipleindustries, including applications in the medical field, agricultural production, and autonomousvehicles [1]. Its broad range of applications has significantly increased demand, positioning thefield for substantial projected growth. However, undergraduate students in college and universityinstitutions nationwide lack the adequate experience and skills needed to fill the labor demand. Upon entering university, the student
-awareness, social skills, self-regulation, empathy, andmotivation is seen as art and lived out through practice [3], [5], [13]. The ability for aspiringproject engineers to hone EI, project management competencies, and understanding teamdevelopment can better equip them for the workplace and meet technical and interpersonal skillexpectations of employers.References[1] De Campos, D. B., de Resende, L. M., & Fagundes, A. “The importance of soft skills for the engineering,” Creative Education, 11, pp.1504-1520. 2020. https://doi.org.10.4236/ce.2020.118109[2] Kastberg, E., Buchko, A., & Buchko, K. “Developing emotional intelligence: The role of higher education,” Journal of Organizational Psychology 20(3), 2020. pp.64-72. https
. Our aim is to promotepedagogical change around writing. Specifically, we aim to support science, technology,engineering, and mathematics (STEM) faculty in adapting core concepts and best practices fromwriting studies and technical communication for their courses.While a detailed review of these core concepts and best practices is beyond the scope of thispaper, we highlight a few as illustrative examples here. One foundational concept is toemphasize the process of writing, as opposed to focusing attention only on the product [4] – [7].Some best practices include incorporating low-stakes, writing-to-learn assignments [8] – [10]and providing selective, prioritized feedback on work that is in progress [11].These concepts and practices contrast
CEE Department programoutcomes that connect these overarching principles to specific locations in the curriculum andwith student enrichment activities.Figure 1 College-wide Student Leadership Development ModelCivil Engineering CEE Department Program OutcomesThe CEE Departments’ 22 program outcomes were developed from ABET, Criterion 3, studentoutcomes A-K 6 and ASCE Body of Knowledge 5. CEE Department program outcomes providesuccinct statements that describe what students are expected to learn through the four-yeardevelopment period prior to graduation. CEE Department program outcomes identify skills,knowledge and behaviors that students must gain as they progress through the program.Attainment of proficiency for each of the 22 CEE
paper is not yet widely available and many details are beyond the scope ofthis paper, the reader is encouraged to seek it through KEEN as it draws upon the work of aworking group summit convened by KEEN.When developing EML modules for engineering courses, it is worth understanding the Theory ofEffectuation.24 The “theory posits that entrepreneurs rely more heavily on effectual logic” thanon predictive logic (or causal logic) “typically employed by engineers.” Predictive (or causal)thinking entails choosing between given means to achieve a pre-determined goal. Effectualthinking on the other hand entails imagining a new goal using a given set of means.25 Sarasvathycreated a useful analogy involving a chef.26 The causal thinking chef will have a
call this the “chop stick rule.” The mechanism must be small enough to be easily picked up and moved around by a pair of chopsticks.2) Mechanisms which can be constructed by commonly available manufacturing methods. We have a machine shop with conventional and CNC machine tools. There is also a 3D printer: Stratasys Mojo.3) Designing mechanisms with some applications in mind. These applications include but are not limited to manufacturing, biomedical engineering, and surveillance.We also created the following educational objectives associated with those technical goals.Project Objectives: Through projects under SMAL, students willa) develop out-of-the-box thinking approaches to design mechanism accomplishing the technical goals
. Andrew received a PhD in Technology through Purdue’s Polytechnic Institute, with an emphasis on Engineering and Technology Teacher Education, and completed postdoctoral research at Yale University. He is the recipient of a 2015 Ross Fellowship from Purdue University and has been recognized as a 21st Century Fellow by the International Technology and Engineering Educators Association.Mr. Daniel Bayah, University of GeorgiaProf. Nathan Mentzer, Purdue University Nathan Mentzer is a professor in the Purdue Polytechnic with a joint appointment in the College of Education at Purdue University. Hired as a part of the strategic P12 STEM initiative, he prepares Technology and Engineering teachers for state certification.Dr
,curriculum design is undergoing profound changes motivated by the Framework for K-12Science Education [7] and the Next Generation Science Standards [18]. These documents outlinea vision for contemporary science education that includes a shift towards phenomena-basedinstruction. In phenomena-based instruction, the focus of learning is about figuring out how toexplain a phenomenon (e.g., Why did a girl with antibiotic resistant bacteria get so sick?) ratherthan learning about a set of topics (e.g., the human immune system and evolution) [19]. Onepremise of this approach is that through “figuring out”, youth will be developing deepdisciplinary knowledge while engaging in authentic science and engineering practices, such asasking questions and defining
engineering is such that these challenges canonly be addressed by the engineering community. Transformation of the first-year engineeringprogram at Purdue University will be tightly linked to a new vision for the Department ofFreshman Engineering1. Through this new vision, we seek to create programs with the capacityto develop a research base to significantly impact engineering education reform, particularly inthe first year.Bibliography1. Katehi, L.; Banks, K.; Diefes-Dux, H.; Follman, D.; Gaunt, J.; Haghighi, K.; Imbrie, P.K.; Jamieson, L.; Montgomery, R.; Oakes, W.; Wankat, P., “A New Framework for Academic Reform in Engineering Education,” Proceedings of the 2004 ASEE National Conference, Salt Lake City, Utah, June 2004.2. George
, interpret and finally integrate it into a sound knowledge model forarchitectural design. References1. Chester, M. (1993). Neural Networks: A Tutorial, Englewood Cliffs, NJ: Prentice Hall.2. Obermeier, K. and Barron, J. (1989). Time to Get Fried Up, BYTE, 14(8), 227-233.3. Haque, M.E., and Sudhakar, K.V. (2001). “Prediction of Corrosion-Fatigue behavior of DP Steel through Artificial Neural Network,” Int Journal of Fatigue, Vol. 23 (1), pp. 1-4.4. Haque, M.E., and Sudhakar, K.V. (2001). “ANN-based Prediction Model for Fatigue Crack Growth in DP Steel,” Int Journal of Fatigue & Fracture of Engineering Materials and Structures, Vol. 24/1, pp. 63-68.5. Haque, M.E. and Mund, A. (2002
comprehensive and standardizedbibliographic information attached to these resources, continues to make it challenging toidentify, find, and access GL through traditional catalogs and databases [1], [2], [3].As Schöpfel and Farace as well as Lawrence note, scholars and practitioners benefit from anumber of key features of GL [1], [2]. GL often contains unique information not found in otherpublished sources. This information can be incredibly detailed and extensive, and not beholdento space constraints imposed by traditional scholarly publishing. Relatedly, informationdisseminated in GL formats may be published on an accelerated timeline relative to scholarlyworks, for which the peer review process can take quite a bit of time. In the case of
sensor nodes. 3. Year on year, build on the previous year’s results and thereby provide students with a unique opportunity to see examples of good and bad documentation written by their own peers, and learn how to improve their own written technical communication in the future. 4. Involve more undergraduate students in engineering research and research-adjacent project work in the spirit of the CURE (Course-based Undergraduate Research Experience) movement, inspiring more students to continue their education through graduate school.This third purpose was inspired by past project-based courses that also benefit from long-termimprovement of an underlying framework. In that past course, the framework was
. 12[5] O. Pierrakos, T. K. Beam, J. Constantz, A. Johri, and R. Anderson, “On the Development of aProfessional Identity: Engineering Persisters Vs. Engineering Switchers.” ASEE/IEEE Frontiersin Education Conference, San Antonio, TX, 2009.[6] M.W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Charchra, and R.A. Layton,“Persistence Engagement, and Migration in Engineering Programs,” Journal of EngineeringEducation, vol. 97, no. 3, pp. 259-278, 2008.[7] C. B. Zoltowski, P. M. Buzzanell, A. O. Brightman, D. Torres, and S. M. Eddington,“Understanding the Professional Formation of Engineers through the Lens of Design Thinking:Unpacking the Wicked Problem of Diversity and Inclusion,” ASEE Annual Conference andExposition, Columbus, OH, June
-relevant challenges to virtual product develop- ment through advanced modeling and experimental approaches. His research interests include nonlinear structural dynamics, vibrations, inverse identification, experimental modal analysis and dynamic substruc- turing, applied finite element modeling, and design. c American Society for Engineering Education, 2020 Bringing the University to the Workplace: Targeted Short Course DevelopmentAbstract This article explores aspects of strategy for the development of a scientific or engineeringeducational product to meet a specific competency gap at the request of commercial or industrialcustomers. This goal may present
. Shankar, Florida Atlantic University Ravi Shankar has a PhD in Electrical and Computer Engineering from the University of Wisconsin, Madi- son, WI, and an MBA from Florida Atlantic University, Boca Raton, FL. He is currently a senior professor with the Computer and Electrical Engineering and Computer Science department at Florida Atlantic Uni- versity. His current research interests are on K-12 education, engineering learning theories, and education data mining. He has been well funded by the high tech industry over the years. He has 7 US patents, of which 3 have been commercialized by the university. He has published earlier work on the use of the semantic web for medical applications at another conference. This work
commonlyencountered in biomedical engineering. (2) Translate pseudo code into a functioning code. (3)To routinely use Excel or Visual BASIC to solve problems encountered in biomedicalengineering. Our primary outcome was simply that the students become proficient enough to useExcel to solve problems in subsequent classes or at their work.III. Course Design The numerical analysis course for biomedical engineers covers nine topics withembedded case studies distributed over one quarter (Table 1). The use of Excel has evolvedover several years through experience with distance learning. The primary problem in teaching adistance learning course in numerical analysis has been accessibility to programming software. It is expected that students have
Courses: Synergies and Challenges Howard N. Shapiro Gloria K, Starns Iowa State UniversityAbstractWith the advent of Master of Engineering degree programs, departments of mechanicalengineering have began offering online sections of master’s level courses concurrently with theface-to-face, on-campus sections. This creates significant opportunities and challenges. In thispaper, the authors explore these issues through case studies that document their experience withteaching concurrent sections of courses at both the undergraduate and graduate levels. Theauthors discuss synergies, such as the opportunity for traditional full-time
in the College of Engineering. She is a second-generation woman engineer. c American Society for Engineering Education, 2017 Service learning in biological and agricultural engineering: Journeys in community engagementService learning has a long history in biological and agricultural engineering involving academicstudent learning outcomes attainment that occurs through hands-on projects implemented in andfor the community. Best practices in engagement between an academic institution and thecommunity are characterized by mutually beneficial relationships, clear inclusion of thecommunity partner's voice, intentional reflection by the students on their experiences, and alonger
by this grant, a comprehensive program to develop an entrepreneurial mindset in all engineering and computer science undergraduate students in the Tagliatela College of En- gineering was implemented. ©American Society for Engineering Education, 2023 Statistical Validation of Growth in the Entrepreneurial Mindset of Students Resulting from Four Years of InterventionsIntroduction Integrating entrepreneurship elements into the college classroom and beyond is gainingmomentum across higher education institutions in the U.S. Engineering faculty are adoptingEntrepreneurial Minded Learning (EML) to help students develop entrepreneurial skills. A widerange of approaches are used including
fooddomestically to meet its rapidly increasing population and has made significant gains in exportearnings through the ready-made garments industry. However, these gains are beingovershadowed by environmental disasters.The nation is facing arsenic contamination of its water supply. Excessive withdrawal ofgroundwater for irrigation and massive diversion of natural water flows of the major rivers bybuilding dams has aggravated this problem. In fact, one of the biggest mass-poisoning cases theworld has ever known has taken place in Bangladesh. According to UNICEF, the “Bangladesharsenic problem represents a collective failure on the part of the International Agencies, theGovernment and other donor agencies which could have acted faster than what we did in
specific, including word choice,sentence structure, and active/passive voice, but the project does not specifically address thelaboratory report genre. On the other hand, a website available from Monash University offersguidance on the structure of a laboratory report as well as specific guidance on writing in thevarious sections of the report [12]. The site also provides self-paced exercises and quizzing toallow a student to check their knowledge as they work through the material. Michael Alley atPenn State has developed a website at craftofsciencewriting.com that offers text and videoexplanations, report templates, and sample lab reports [13].The modules described in this paper differ from the existing materials available because theytarget
, employers, and schools [5]. They conclude the benefits for both thestudent and the employer are more than problem solving via experiential learning; benefits alsoinclude students’ abilities to communicate their areas of interest (and employers’ abilities tounderstand how students communicate their interests), interpersonal skills. and making valuablecontacts through networking opportunities. Finally, Finch, Hamilton, Baldwin, and Zehnerconducted a literature review and concluded that job acquisition strategies for, students (from avariety of backgrounds) should highlight both their problem-solving skills and “soft skills” as jobspecific functional skills are not as important to potential employers as originally thought [6].“To be a successful job
explores the integration of green materials, lifecycle assessment, and resilient engineering practices in pavement design. Through his research, he seeks to address key challenges in infrastructure sustainability while promoting long-term resilience in the face of climate change and increasing urban demandsDr. Olushola V. Emiola-Owolabi, Morgan State University Olushola Emiola-Owolabi graduated from the Advanced Studies, Leadership, and Policy at Morgan State University with a PhD. She is an engineering pedagogy specialist, researching active learning in engineering classrooms and specializing in qualitative methods research on teaching and learning – particularly in remote synchronous learning environments.Mr. Pelumi
, and when the signals are abstract. The author concludesthat the learning of such concepts requires continuous switching between abstract concepts andmultiple domains and most of the concepts cannot be learned through sensory learning whichcauses students with all sorts of learning styles struggle with getting comfortable with theseconcepts. The mistakes identified in this work-in-progress paper is the first step to guide theprotocol design for a future qualitative study to understand the reasonings students employ tomake sense of these mathematical equations and representations, compare the thought processeswhen a question is solved correctly and when not, and investigate how students’ thoughtprocesses evolve as they keep taking courses
preserves the transformative potential of personal narrativeexchange while ensuring these experiences contribute meaningfully to formal learningobjectives.Furthermore, reflections preserved the distinctive dialogic quality of living libraries whenimplemented within formal educational structures. The conversational nature of living libraryinteractions represents a significant departure from traditional pedagogy, but this dialogicelement risks being diminished or difficult to implement into conventional academicframeworks. Reflective assignments extend this dialogue beyond the initial encounter,encouraging students to continue engaging with the perspectives and experiences shared,albeit through internal conversation rather than direct exchange. This