foundational concepts, methods, and techniques of AI. The course is designedfor students from diverse majors, including Software Engineering, Computer Engineering, DataScience, and Computer & Information Science. It covers a range of topics, such as knowledgerepresentation methods, algorithms for reasoning, decision-making, planning, and learning, aswell as modern intelligent systems capable of handling uncertainty. Through a combination oflectures, group activities, projects, and assessments, the course emphasizes both theoreticalunderstanding and the practical application of AI concepts. Students engage in collaborativeexercises and a project, allowing them to gain hands-on experience in analyzing and creatingintelligent systems in real-world
based learning environment. She was previously an engineering education postdoctoral fellow at Wake Forest University supporting curriculum development around ethics/character education.Dr. Diana Bairaktarova, Virginia Tech Dr. Diana Bairaktarova is an Assistant Professor in the Department of Engineering Education at Virginia Tech. Through real-world engineering applications, Dr. Bairaktarovaˆa C™s experiential learning research spans from engineering to psychology to learning ©American Society for Engineering Education, 2023 Empathy and mindfulness in design education: A literature review to explore a relationshipAbstractLearning to design in undergraduate
” science [3, 14,15]. In examining these goal differences, Joram [15] described the challenge for educators asanchored in perceptions that, “research is divorced from the real world of teaching, and …research is inaccessible to them because of the overly technical format in which it is presented”(p. 124). The PQI aimed to bridge this gap by teaching educational research design not as aseries of technical skills and hurdles to overcome independently but as an exploratory andcuriosity-driven process conducted as part of a supportive community of practice.A review of the literature concerning natural scientists engaging in educational research reveals acomplex interplay of challenges around assumptions of ontology, epistemology, and the natureand
the language semantics and the source code you've written. Figure 3 showsan example, where IntelliSense suggests using variable msg in the print function.Fig.2. The red box indicated the Command Palette of VS Code. Students can access all functionality of VS Codeand install extensions through the Command Palette.Fig.3. An example of code completion supported by VS Code, where IntelliSense suggests using the variable msg inprint function.Popularity. VS Code is widely favored among real-world developers. According to the StackOverflow 2021 Developer survey [30], it ranks as the most popular developer environment tool,with 71.06% of over 80,000 respondents reporting its use. In the latest Stack OverflowDeveloper Survey [40], it continues to be
use a college level national robotics competition.There are various national and international robotic competitions available for studentparticipation. Many are designed and limited to primary and secondary school age groups.However, there are some competitions specifically geared for college students. College levelcompetitions usually required fully or partially autonomous robot functionality. The three maincategories for robot application include ground-based vehicles/systems, underwater vehicles, andaircraft or aerial drones. Robotic application competitions are designed to present real-worlddesign problems and encourage students to find solutions integrating various aspects oftechnology. An example of undergraduate students participating
Paper ID #37280Advancing Student Futures in STEMUrmi Ghosh-dastidar Urmi Ghosh-Dastidar is the Coordinator of the Computer Science Program and a Professor of the Mathematics Department at New York City College of Technology – City University of New York. She received a Ph.D. in Applied Mathematics jointly from the New Jersey Institute of Technology and Rutgers University and a B.S. in Applied Mathematics from The Ohio State University. Her current research interests include parameter estimation via optimization, infectious disease modeling, applications of graph theory in biology and chemistry, and developing and
faculty-student mentoring relationship must be takenseriously by the university and highly valued to demonstrate real benefit to students and theinstitution (Birkeland et al., 2019; Blake-Beard et al., 2021; Smith, 2007; Thomas et al., 2007).Institutions that provide mentor training inclusive of developing cultural competence, empathy,and humility around equity, diversity, and inclusion are deemed more successful (Fries-Britt &Snider, 2015; Stelter et al., 2021). Additionally, a focus on mentor self-examination is critical tosuccess, including self-reflection, standardized assessments, peer support, and critical feedbackopportunities (Blake-Beard et al., 2021).Student mentoring is considered a high-impact educational practice (Kuh, 2008) that
, values,and human decisions about the use of knowledge.” In addition, students need structured learningopportunities to develop an understanding of how within scientific and engineering research,“many decisions are not made using science alone, but rely on social and cultural contexts toresolve issues” [13].The importance of considering the human dimensions of the scientific enterprise are alsoemphasized in the engineering design standards in the NGSS. Teachers are asked to present theirstudents with authentic, complex, real-world problems that may possibly be solved throughengineering design. Part of what makes these types of problems complex are the human factors,including social, cultural, and ethical dimensions. These connections are found
generation method? Percentage Number Remarks 100 7 It is easy Understand the method when applied Easy to reflect the ideas with products Excellent; Have understood the methods totally through application Helped me understand Design Methods more Helped me understand other methods more 95 - 99 8 Very effective way Learnt how it works in real life Very effective way through peer teaching Understood different methods in a better way 90-94 5 Makes the learning more
areaccredited by six distinct regional accrediting bodies.2 These accreditation bodies have certainexpectations when it comes to student learning which can be different from the expectation ofdisciplinary accreditation.In 1994, ASEE’s Engineering Education for A Changing World stated that engineeringeducation needed to go beyond the fundamentals of theory, experiment and practice.4 That is,they stated that engineering education needed to prepare students with a broad range of skills thatwould allow them to recognize global, economic, environmental, and societal context ofengineering solutions.4 Developed in 2000 and revised in 2019, ABET’s student outcomes wentfurther than mere technical competency. ABET assures that programs show how studentoutcomes
issues associated with a nanotechnology project? nanotechnology to make stain- and wrinkle-resistant clothing,citing the risk of health problems). Another case study, featuring a research project towards a‘lab on a chip’ for biomedical applications, provided a focus for an examination of DNA analysis Page 11.48.5and privacy.60% Before The students were further After familiarized with the50
curriculum team to finalize acourse topic list that would meet LDCC, LA Tech, and BPSTIL requirements. The teachers alsodiscussed with the team the best hands-on project platform for students to build circuits,eventually deciding on the Arduino platform. This allowed the project’s curriculum team toadapt Arduino tasks and projects for use at the high school level and to assemble project kits thatwould be provided to all partner high schools.On the lessons themselves, in the form of PowerPoint slides, the curriculum team and BPSTILteachers engaged in a feedback process using a Google Team Drive and online feedback formsfor each lesson. For example, one recommendation made by a partner teacher was to addlearning objectives and real-world examples to
/ Spencer Postdoctoral Fellow and a 2018 NSF CAREER awardee in engineering education research. Dr. Svihla studies learning in authentic, real world conditions; this includes a two-strand research program fo- cused on (1) authentic assessment, often aided by interactive technology, and (2) design learning, in which she studies engineers designing devices, scientists designing investigations, teachers designing learning experiences and students designing to learn.Amber Gallup, University of New MexicoDr. Sung ”Pil” Kang, University of New Mexico Sung ”Pil” Kang is an assistant professor at the University of New Mexico. His academic interests include change management, change model validation, and mindset evolution. He may be
the assignment, the author identified concernsassociated with those suggestions: Suggestion: Allow for the use of other types of material to build the model, instead of only Popsicle Sticks. Concern: The Popsicle Sticks allowed for consistent criteria for building and evaluating the physical models. Also, restricting the use to certain materials for building the model was designed to simulate real world constraints that students may encounter in workplace problem solving. Incidentally, other materials for building the model were allowed. A minimum of seventy percent of the physical model had to be composed of Popsicle Sticks and other materials were allowed to build 0-30 percent of the model
the built environment support the idea that student should experience and learnabout the general overarching fundamentals of research applicable to a diversity of challenges inthe built environment1. Small programs can rely on the individual mentorship of students or onstudent opportunities to serve as research assistants, but as student populations grow, a moreformalized approach is needed to support education in a variety of research methodologies asgraduate students complete their thesis or dissertation obligations. This paper describes theexperience of a CM program at a large Midwest research university during the first four years ofa course in ‘Construction Research Fundamentals’ created to support student thesis anddissertation research
conferences in robotics, software engineering, and computer science education. He has garnered multiple international awards in innovation including the third place in Robocup world competition.Dr. Monique S. Ross, Florida International University Monique Ross, Assistant Professor in the School of Computing Information Sciences and STEM Trans- formation Institute. Dr. Ross earned a doctoral degree in Engineering Education from Purdue University. She has a Bachelor’s degree in Computer Engineering from Elizabethtown College, a Master’s degree in Computer Science and Software Engineering from Auburn University, eleven years of experience in in- dustry as a software engineer, and six years as a full-time faculty in the
assessment and evaluation of engi- neering education research projects and initiatives. She has most recently worked for Walgreens as a Sr. Data Analyst and General Motors/Delphi Automotive as a Sr. Applications Programmer and Manufactur- ing Quality Engineer. She received her PhD in Industrial Engineering from the University of Pittsburgh and her MS in Mechanical Engineering from Case Western while working for Delphi. She completed her postdoctoral studies in engineering education at the University of Pittsburgh. Dr. Clark has published articles in the Journal of Engineering Education, Advances in Engineering Education, and Risk Analysis.Scott Streiner, University of Pittsburgh Scott C. Streiner is a full-time
argue fundamental SE concepts are important tointroduce to students at an earlier age, even before they enter college. Systems engineering’sfocus on interdisciplinary collaboration, communication, and the evaluation of design trade-offsprovides students with an understanding of how real-world engineers work. Furthermore,understanding how complex systems function and how small changes to one part can affect theentire system are important facets of students’ technological literacy.In this work, we outline three SE learning objectives we believe K-12 students are capable ofachieving: 1) A system can be decomposed into subsystems, 2) Designers coordinate activitiesby communicating requirements and interfaces, and 3) Testing reveals problems and
InformationModels for the development of additional learning modules. The presented work illustrates howthe influence of instructional theories and design can support the generation of a new learningplatform for construction engineering and management.1. Introduction One of the main objectives of engineering education is to shape students that possess awide variety of knowledge, skills, and attitudes obtained as a result of education, experience, andachievement.[1] This holds true for construction engineering students, who are challenged withreal world problems during their education and after graduation. This educational objectiverequires educators to prepare their learners to solve real world problems, with which theArchitecture, Engineering and
innovative, EC2000 was not without its critics. Funded by aNational Science Foundation grant, the American Society of Mechanical Engineers (ASME)completed a one-year study of EC20002 that revealed some difficulties with its implementation.One finding of this study warrants particular discussion here. The contribution of an externalAdvisory Board was described as follows:“Involvement of the program Advisory Board was expressed as a positive result of EC2000.These groups provided a very useful resource to the program in establishing educationalobjectives and defining associated measurements of student outcomes. The major designexperience benefited from board input, particularly with regard to ‘real world’ problems andimprovement in communication
,leadership skills start with intercultural competency.3. Selection of ParticipantsSince the establishment of GTI program in 2004, it was well recognized that the addition ofstudents outside the College of Engineering would add the value to the program; studentslearning from peers from different majors would experience a host of different viewpoints uponthe same object. For the 2011 GTI Program, a two-step screening procedure was developed toevaluate all engineering applicants. Participants selected from outside of College of Engineering(the other six colleges at SJSU) had to go through an internal screening practice. Each collegeused a different mechanism, directed from their respective Dean’s office. For engineeringstudents, in the first step of
isnotable, then, that our main finding is that the PLTW teacher training program accompanied withclassroom instruction instills in new PLTW teachers a greater sense that they are addressing thismandate by providing instruction that more frequently integrates concepts from math and scienceinto the engineering activities in their classrooms. By encouraging the integrative outlook onengineering instruction, PLTW engineering students are expected to make the conceptualconnections needed to ground their academic knowledge to real world applications, while at thesame time developing a greater understanding of how the specific ideas and procedures that theyencounter in an engineering context will be generalized to new problems and application areas.In
address at the AmericanAssociation of Higher Education’s (AAHE’s) 1998 National Conference that, “We have moreinformation about learning available to us than ever before in the history of the world.” HerbertSimon, a Nobel Laureate, in his plenary session at the 1997 Frontiers in Education Conferencesaid, “Knowledge about human learning processes has developed to the point where we can dobetter.” Smith and Waller (1997), using current knowledge about effective teaching and learningsuccinctly compared old and new paradigms for college teaching (see Table 1). TABLE 1 Comparison of Old and Next-Generation Paradigms for College Teaching (Smith and Waller, 1997) OLD PARADIGMS
varying models. While the accuracies may not be asimpressive in Table 2 compared to Table 1, they are deterministic and will always be the same.Furthermore, the LOO metric represents how the model does on average training on everythingexcept the held-out test sample for every sample. Some trials will use an outlier as the validationsample, likely resulting in a poor prediction and reducing the average LOO score. This means theLOO score will already account for real-world outliers appearing during inference. Said anotherway, there is a trade-off between accuracy and robustness. LOO validation ensures fewerpredictions will stray from the advertised model accuracy during inference [17].4.3 Benefits of Hyperparameter Tuning VisualizationsAlthough
traditionalengineering education on the creative potential of future engineers. A lack of creativity is viewedas problematic in a rapidly changing technology-oriented world where generating new ideas isessential to survival1,2. Industry has also perceived new BS engineering graduates as lackingdesign capability or creativity, as well as an appreciation for considering alternatives. In the past Page 15.1160.2several years, universities have responded to these challenges by adding more design content andintroducing more open-ended design problems into their engineering curricula. Improvingcreativity is difficult because researchers are limited to studying the
. Green’s research interests include entrepreneurship education and the psychology of entrepreneurship. Prior to Mtech, he provided business development and product management to WaveCrest Laboratories (acquired by Magna Interna- tional, NYSE: MGA), an innovative start-up in next-generation electric and hybrid-electric propulsion and drive systems. At Cyveillance (acquired by QinetiQ, LSE: QQ.L), he served in operations, client service, and product development roles for this software start-up and world leader in cyber intelligence and intelligence-led security. While at Booz Allen Hamilton, he provided technical and programmatic direction to the DARPA Special Projects Office (SPO), Army Research Lab (ARL), Defense
interactions in engineeringfor sustainable development, (2) students develop the ability to analyze the balance betweeneconomic, societal and environmental factors in an international situation, and define problemsand solutions according to that balance, and (3) students show a predisposition to viewengineering for the developing world through the triple lens of economic, societal andenvironmental sustainability.6The International Senior Design (d) and the Peace Corps Master’s International program (f) atMichigan Tech, demonstrate that the three objectives are effective in teaching sustainability tostudents. A post assessment of the programs shows that the students develop a greater knowledgebase of sustainability through Project Based Learning (PBL
on defining STEM integration and investigating its power for student learning. She is creating and testing innovative, interdisciplinary curricular approaches that engage students in developing models of real world problems and their so- lutions. Her research also involves working with educators to shift their expectations and instructional practice to facilitate effective STEM integration. Tamara is the recipient of a 2012 Presidential Early Career Award for Scientists and Engineers (PECASE) for her work on STEM integration with underrep- resented minority and underprivileged urban K-12 students.Dr. Senay Purzer, Purdue University, West Lafayette S¸enay Purzer an Assistant Professor in the School of Engineering
documentation in the computer aided engineering (CAE) market. At MSC Sotware he pioneered new techniques and guided the development of two highly successful inter-active DVD based courses in the application of nite element analysis (FEA) in product development. He also developed a unique, low-cost, exible method to produce and maintain DVD versions of a curriculum of 15 courses related to CAE. Both provided increased knowledge access, transfer and retention. His industrial back- ground also focused on applying theoretical aspects of numerical methods in simulation and design to wide variety of product development issues. He has served on the faculty at UC Irvine since I986 and has brought these practical applications into
pedagogical applications of cloud computing and virtualization. Dr. Wright’s current responsibilities include teaching introductory programming and ethics in computing classes, providing logistical and or- ganizational support for large-scale research projects, and supervising graduate and undergraduate student research activities. Page 23.1363.1 c American Society for Engineering Education, 2013 Weaving a Computer Science Tapestry: Results of a Workshop Promoting the Recruitment and Retention of Girls in High School Computer Science