generous grant fromHewlett Packard Philanthropy Page 10.773.10 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education"BIBLIOGRAPHIC INFORMATION1. ASEE (1995). Educating tomorrow’s engineers. ASEE Prism, 11-15, May/June.2. Dahir, M. (1993). Educating Engineers for the Real World. Technology Review, pp. 14-16, Aug./Sept. 1993.3. Hissey, T. W. (2000) Education and Careers 2000. Proceedings of the IEEE, 88(8), 1367-1370, August.14. Astin, A. W. (1993). Engineering Outcomes. ASEE Prism, 27-30, September.4
. Rakhshan, L. Keikha, and M. Ghazi Saeedi, “Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods,” Interactive Learning Environments, vol. 29, no. 1, pp. 142–163, 2021.[24] T. Lynch and I. Ghergulescu, “An evaluation framework for adaptive and intelligent tutoring systems,” in E-learn: world conference on e-learning in corporate, government, healthcare, and higher education. Association for the Advancement of Computing in Education (AACE), 2016, pp. 1385–1390.[25] D. Jaison, H. Merzdorf, B. Williford, L. White, K. Watson, K. Douglas, and T. Hammond, “Assessing drawing self-efficacy: A validation study using exploratory factor analysis (efa) for the drawing self-efficacy
, students are taking many of the concepts taught in the classroom and they areapplying them in a field setting. This is important because this shows that students, while theyare interns, bring value to the construction process and are able to apply their skills in a real-world setting.Additionally, this research data shows the significance and how the SLOs and BloomsTaxonomy are related. More specifically towards construction management internships, theinformation provides a guide as to the skillsets that are necessary for students entering into aconstruction management internship. Where we can use this information programmatically andwithin curriculum development is how and where a student may take a particular class within thecurriculum in
initialresults of a research project that aims to integrate AI and cybersecurity research into thecybersecurity curriculum. In his study, he developed a module that aims to teach students thedifference between causal analysis and traditional correlation analysis using real-world examplesfrom cybersecurity applications. Although promising, this study is somewhat limited whencompared to the wide scope of the cybersecurity and AI education field. The lack of research inthis field presents an opportunity for interdisciplinary work that considers both cybersecurity andAI education in a unified way.2.2 MotivationAI techniques have become a critical technology for cybersecurity researchers and practitioners.Integrating AI into cybersecurity curricula is
-assessment.The PAC regularly hosts workshops to familiarize authors with using these two rubrics. Beforethe workshop, participants use the rubrics to individually review a sample activity. During theworkshop, they compare and discuss their rubric ratings. The CS POGIL AWP used the PACtrainings, its platform, and both rubrics as a framework for providing feedback for activities.3. The Activity Writing Program3.1. ParticipantsThe AWP was widely advertised to the CS POGIL community (via a 150-person Google Group)from December 2021 to May 2022. 34 experienced POGIL instructors completed an applicationto express interest in the program. Three early applicants dropped out in January after moreinformation about the program was shared. The remaining 31
three programprofessors, one of them is the Program implementation Coordinator at UFRGS's School ofEngineering, and two doctoral students from the same School of Engineering.3. Methodology The adopted methodology aims to generate knowledge for practical application to solvespecific problems [27]. In this study, the problem is developing a method of evaluating andmonitoring competencies applied to the Industrial Engineering program. The research methodis qualitative, with data collected without numerical measurement to uncover or improveresearch questions [28]. According to Gil’s definitions, the classification based on objectivesis exploratory, as few studies assess the research theme [27]. This study is classified as a casestudy because it
: “A graduate degree felt like the natural next step and progression both for my advancement, getting more knowledge and just pursuing my goals of being a technical person, a scientist and inventor or so on and so forth.”Moreover, Edward believed he needed more information and skills to apply theory to practice: “The knowledge I have is not enough for me to do any kind of research that can find application to real life. So I thought going for a graduate program will be a very good platform for me to gain and apply this knowledge.”Similarly, Nathan stated, “I felt like pursuing an advanced degree allowed me to kind of expand upon that knowledge that I learned and how can I apply this to real-world
project, SCOAM scholars gradually began to see the valueof the application activities completed in the Peer-Led Team Learning Sessions. Participantsvalued the real-world applications provided to enhance the mathematics they were studyingin their mathematics courses and they appreciated the opportunity to ask questions.Goal 3 of the project is to strengthen relationships with the broader STEM community withinand beyond the university. All of activities listed above were designed to encouragerelationships between SCOAM students and other math and science students as well asbetween SCOAM students and faculty outside of their department and professionals outsideof the university. Findings include that students feel more connected to faculty outside
protestations were ignored. In enhance a student’s self-efficacy, Suffolk EE classes have laboratory componentswhere students perform, either individually or as a team, hands-on exercises and projects thatengage students in understanding the theoretical concepts learned in their lectures. As much aspossible, “real-world” applications are used so that students get a sense that what they arelearning is important and relevant. For instance, in the required Introduction to DigitalElectronics course, teams of students develop a program using the Xilinx FPGA to implement aHamming Encoder/Decoder. In the Introduction to Engineering Design course, teams ofstudents build and program robots using the Parallax platform to perform stipulated tasks such asa
participating students were assigned into 32 groups. Foreach of the three aforementioned parts of the workshop, we collected a design ideation solutionfrom each pair. Note that one group was deemed invalid entry for not recording participatingstudents’ names.Ideation TaskThe ideation task designed for this workshop focused on improving medication adherence for apatient with chronic diseases. The specification of a real-world end-user was intended to providea realistic scenario so the students could focus their design thinking on meeting the specific end-user needs. A patient’s daily activities and medical needs were also included as supplementalinformation distributed at the beginning of the workshop to promote a sense of empathy amongthe students. In
expert) because we likely approach problems in a similar way or have the same questions.”Students recognized that the shift to a visual presentation necessitated that the concepts beconnected with applications, which they found beneficial. - “Provided real life examples of course material which made the topics easier to visualize and understand.” - “Valuable project that helps clarify concepts. Allowed us to find real applications to the concepts.”Student comments focused on the how the previous projects connected well with their learningoutside the classroom, and how they could structure their learning to better help themselves: - “Were like reviews for after I'm done with the HW. - “I usually watched them before the HWs
onmany different levels. Active learning and other evidence-based learning strategies promote adeeper understanding of complex material because students are forced to think about the materialand apply fresh concepts to new situations [1]-[4]. Hands-on learning is a particular form ofactive learning where students engage in a topic in several different ways including sight, sound,and tactile sensory input [5]-[8]. While engaging multiple senses, students can interact with otherstudents and reflect on how their understanding of some topic can be used to explain a particularphenomenon. When the hands-on experiences are well-designed, students can go beyond thelecture material and observe how theory is manifested in the real world. Unfortunately
online delivery system for weekly quizzes that follow the formats and guidelines ofthe Fundamentals of Engineering (FE) national examination for professional engineers, as wellas an integrated system of virtual lectures and office hours. We present the evidence-basedpractice data we collected in the distinct aspects of the homework delivery system, the FE examdelivery and student assessment, the virtual lectures and office hours, and finally the archivalability of GC. Finally, we conclude with remarks and possible future directions in teachinginnovation research. Background Through technology, a teacher may clarify doubts related to a particular topic quickly,giving real-world video examples. Students may absorb concepts taught
improve the design consideration for specific prioritiesand concerns. In the actual project, students learned the high degree of collaboration increasedthe overall cognitive capacity and available information. This reduced the “bounds” of rationalityand promoted design decisions that were more beneficial to all the people involved. During themodule, students were asked to identify credits from the Envision rating system that rewardedcommunity engagement and leadership.Satisficing was the third behavioral decision science concept. It refers to the heuristic that in real-world situations, humans (including engineers) tend to settle for decisions that satisfy and sufficefor essential requirements rather than seeking the most optimal solution [17
-world engineering problems, the value of the toolis easily understood by students.The course design also tries to introduce students to some of the more cutting edge technologiesto allow them to feel that their efforts have current relevance. Students discuss data analysis andmanipulate data from real data sets such as water level monitoring from local streams or foodsafety data for baby food. They also build a reflective light sensor, gather data and use a simplemachine learning tool to make and train a roughness sensor shown in Figure 3. From thesemodest activities they are introduced to the fields of Artificial intelligence and Big Data.Figure 3: Example of a sensor built by students in Fundamentals of Computing. The sensorconsists of a
actual engineering practice, and scores were based on individual performances of this student.Measures used were tested and validated to ensure that they measure knowledge, skills, and abilities(KSAs) as used in the professional world. In short, validated measures were used by capable instructorswho judged performances of individual students under authentic professional experiences—yieldingcredible scores.Capstone design courses are common sites of student assessment, but most assessment is focused onABET (formerly, Accreditation Board for Engineering and Technology) accreditation and awardinggrades. Current practices in capstone courses often prevent sound assessment of individual student
Tech Engineering Education (MC 0218) 345 Goodwin Hall, 635 Prices Fork Rd, Blacksburg, VA 24061.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. Bairaktarova’s experiential learning research spans from engineering to psychology to learning sciences, as she uncovers how individual performance is influenced by aptitudes, spatial skills, personal interests and direct manipulation of mechanical objects.Prof. Tamara Knott, Virginia Tech Tamara Knott is Associate Professor of Engineering Education at Virginia Tech. She primarily teaches Engineering Foundations classes to first
simple. 1. The problem to be addressed is chosen so that it has several relevant dimensions: 6 It must reflect a problem that a real client needs to have solved, and the client must be willing to interact with the students. 6 The students must not have had extensive experience working in the application domain involved, so it will be necessary to interact with the client in an interdisciplinary setting to determine necessary system features. 6 There must be several viable candidate system structures so that students have to evaluate alternatives in order to define the architecture in a manner that meets the client’s objectives
: I’ve got some great ideas on the applications of electrospinning. Also how to research and gain new ideas that haven’t been done yet. I want to look more in-depth at the topics we researched. I would like that we produce a real filter from our nanofibers. I would like to see how magnetic forces influence (magnetic) fibers (we created); see if we can make a filter or a waterproof material. I wish it could be two semesters so we could have more time! 3. SOFTWARE ENGINEERING CAPSTONE EXPERIENCEECE faculty hired prior to the official state approval and opening term of the program had to beassigned to existing departments closely related to their areas of expertise. One such area is
retired from the profession. This wide range may limit the study’s applicability to current times. However, data from sub-questions was saturated. This could counter the problem of age distribution.ResultsA chart has been developed for the emergent themes that shows the importance of various factorsin influencing females’ decisions to enter the field of engineering (Table 2). The most powerful Page 15.367.7influence was Influence in mathematics and science. Problem-solving skills was anotherimportant influence for these participants. Many participants identified an engineer in theimmediate or extended family as a major factor in their
at OSU he spent eight years at Los Alamos National Laboratory (LANL) as a postdoc- toral researcher and member of the technical staff. There, his research on 2nd generation superconducting wire led to an R&D 100 Award in 2004. He received his Ph. D. in Materials from the Pennsylvania State University in 1998. Dr. Gibbons is a 2012 NSF CAREER awardee, as well. That program is designed to develop new environmentally benign piezoelectric materials, which can be used for a variety of sensing and actuation applications including sonar, ultrasound, energy harvesting, and microelectromechanical systems.Prof. William Joseph Stuart P.E., Oregon Institute of Technology BIOGRAPHICAL SKETCH Professor Joe Stuart
of such mistakes can bring great benefits to the profession and to the publicFoster an appreciation for professional development and Show students how practitioners develop professionallylife-long learning through their experiences and the continuing education required for solution of problems/casesDevelop in students an ability to apply knowledge from Expose students to real-world applications of suchmath, science, and engineering knowledge by practitioners. Proper
program for 5th-12th graders, offeringenriched educational opportunities, especially in science, math, and technology. SaturdayAcademy offers in-depth, motivating, real-world classes and workshops that supplement regularschool curriculum. Classes are taught by experts in the community and held at the host business,college, or agency. Classes are small, hands-on, informal, and project-oriented.Saturday Academy is open to all motivated students. Summer tuition is usually $20-$30 perclass; assistance is available, and no student will be turned away due to financial need. Summerfliers will be available in May.Saturday Academy's ASE ProgramSaturday Academy's Apprenticeships in Science and Engineering (ASE) Program offers highschool freshmen through
of UnitedStates professors found that 93% felt that entrepreneurship could be taught1. Indeed, it isestimated that today there over 2200 courses in entrepreneurship being taught at over 1600universities throughout the United States2. Karl Vesper, a leading entrepreneurship educator atthe University of Washington suggests: “The radical rise in the number of schools that offer courses and programs in entrepreneurship is part of a much broader fabric not only in society, but the world over. As it turns out, you can see big organizations breaking themselves down into small units, unions are crumbling to smaller sizes, the Catholic Church is shrinking, and even countries like the Soviet Union have broken up
approach to problem-solving, innovation, and value creation” [4]. The KEENframework emphasizes three primary components of the entrepreneurial mindset: curiosity,connections, and creating value. Project-based learning in which students are given a specificaudience to understand and design for is one way in which students learn to create value withtheir technical skills. Projects with simulated or real-world applications also provide students theopportunity to practice situational curiosity [5].Effective science communication is particularly necessary in the process of commercializingtechnology. When engineers create goods and services that are to have a societal impact oraddress a need, it is crucial for their success that the value of these
interviewee described them as “succinct but broad” and “not prescriptive but [they]direct you.” Another valuable element was seen to be how the resources support and reflectauthentic learning and assessment. This also relates to the interviewees’ view that the Toolkitlinks to efforts around Sustainability and equality, diversity and inclusion (EDI), which allmentioned. The resources reference connections to these topics, adding to andcomplementing them by showing their relationship to real-world problems. One intervieweenoted that the multifactor scenarios in the case studies mimicked real life in a way thatallowed students to imagine “this could be me” and therefore was relevant to a futuredecision they might make. Interviewees also felt that the
the home be associated with other constructssuch as children’s interest in engineering [40]? Another line of research may build upon similarstudies of engaging children in epistemic practices in the field of science [41-42]. Studies haveshown positive effects of argumentation, exploration and inquiry-based science instruction on thefrequency and variety of children’s epistemic practices [43-44]. We also observed few instancesof the epistemic practices making trade-offs between criteria and constraints, assessing theimplications of solutions in the real world, and innovating processes, methods, and designs. Thequestion of why this was the case may be embedded in the design and structure of the kits. Adesign-based research approach [45] with
accompany its advancementand deployment. While some students feel equipped to handle these challenges, the majority feelunprepared to manage these complex situations in their professional work. Additionally, studentsreported that the ethical concerns involved in the development and application of technologieslike AI is often not included in curricula or is viewed as “soft skills” that are not as important as“technical” knowledge. Although some students we interviewed shared the sense of apathytoward these topics that they see from their engineering program, most were eager to receivemore training in AI ethics. These results underscore the pressing need for engineering educationprograms, including graduate programs, to integrate comprehensive ethics
Page 7.680.4 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright ” 2002, American Society for Engineering Educationproblem that most of them have not seen before: design of an autonomous mobile robot that mustperform some task. Holding true to typical real world engineering challenges, the assignmenttypically has numerous potential solutions that must be considered in lieu of rigid constraints oncost, available space, maximum weight, actuator selection, power source, and micro controllercapability. The task and theme of the robot change annually, but an end-of-year competition isalways the outcome of the project. The competition is conducted during
sustainability. The second project is “instructor choice” and has been both construction oriented as well as dissection oriented. The projects have a mathematical modeling step where the students use engineering science models to predict performance in advance of construction. o Outside lectures – speakers to show what engineers doing in real world situations. o Major selection – we run open house presentations where students can do some exploring. At this point, our largest majors for incoming freshman are “undecided” and “pre-engineering” so there is real demand for this material. o Software tools – introducing, for example, SolidWorks and MSExcel. o Teamwork, ethics, and strategies for academic success – items