engineering; for example, some aspects of education have been studied in domainsoutside academic instruction – e.g. computer-based instruction – and lessons learned from thosedomains can be shown here. Throughout this paper, fundamental references to the field arenoted.Summary of Cognitive Science Insights Into LearningCognitive science provides insights relevant to education into individual learning. The mainfocus of cognitive science is to understand the human mind, building on several diversedisciplines including psychology, neuroscience, linguistics, philosophy, anthropology, andartificial intelligence. Often going beyond purely psychological explanations of how the mindfunctions, cognitive science also centers on understanding cognition in real
Virtual Industrial SystemTo address the challenges and opportunities presented by applying new technology in theclassroom, we are developing a set of web-based learning systems for undergraduate courses inmanufacturing and logistics within Industrial Engineering. This set of systems is embodied inthe Virtual Industrial System, which provides a generic software framework for the learningsystems. As envisioned, the VIS provides a platform to teach students about the application ofengineering methodology to real world problems using computational models. In doing so, theVIS exposes the students to large datasets and realistic problems, the kind that they will find in
studentlearning we plan to incorporate this format into our online course offering.D. Technology UseThe course management system at our institution is a local implementation of open source Sakaisoftware, Scholar. Tools offered through Scholar are: Discussion Forums, Chat room, electronicassignments, calendar, announcements, lesson modules, Resources document folders, classlistserv, electronic grade book, online quizzes, blogs, podcasts, and collaboration wiki. We alsoused Centra for synchronous virtual sessions including online tutoring and interactive virtualoffice hours. Centra is a powerful tool for online multiple-user interaction and courseorganization that includes real-time two-way audio, application sharing, web browsing, whiteboarding, and text
essential in order to completethe activity in the allocated time. In fact, activities are substantial enough such that they cannotbe completed in one class period (the course meets two times per week for 1 hour and 55 minuteseach time) and their completion almost always requires students to meet outside of class. Fur-thermore, along with team-work, computer tools and a written report are essential elements ofany activity. Students are not “taken by the hand” as they work their way through each activity.In fact, we try to make the process of completing each activity to be as “real-world” as we canmake it. In this sense, the students are the active element in their education and the instructorplays the role of listener, mentor, and advisor.Within
deeper and coding exercises, which can be difficult for young learnersunderstanding of AI’s potential through themes such as to grasp [3]. Many children struggle to develop an intuitiveperception, trust, practical application, and specialization. The understanding of how AI makes decisions, adapts, and learnsgame allowed students aged 7 to 14 to engage with AI opponents from patterns [4]. A more effective approach involves game-at three difficulty levels: Olivia (Easy), Emma (Medium), andChris (Advanced). Throughout the two-day exhibit, 56 students based learning, where
?” 45 students out of 62 wrote comments. Two raters independentlycategorized all comments into one or more of four categories.Tangible and real world aspects: 30 comments. Students appreciated using the equipment and“…being able to see what measurements were taken and getting a feel for flow rates, velocity,and other such measures…”. They expressed appreciate for being able to see first hand whatwas happening. They liked having the actual objects to work on and operate, indicating that thisfacilitated greater understanding.Instruction and teaching: 3 comments. Three respondents singled out the TA’s work andexcellent organization and explanations.Data acquisition and analysis: 5 comments. Respondents expressed appreciation for the datacollection
Session # 3613 Making Memories The Penn State Bioprocessing Cluster Program 2000-2002 Alfred Carlson Rose-Hulman Institute of TechnologyAbstractAs part of a larger National Science Foundation grant to Penn State, I ran a special hands-on, “real life” educational program in bioprocessing for senior chemical engineers. Thestudents took all of their courses for the spring semester, senior year, from a singleinstructor and pooled them into a seamless laboratory project to produce a recombinantprotein at pilot plant scale. The students were able to learn how to design experiments,plan and execute runs, and operate a
many variables present during the process of teaming, they will be able to succeed inany team situation. In order to achieve this understanding, a training program oriented to thisgoal could make the difference in helping students to become real team players in the classroomand in the corporate world. Therefore, the purpose of this paper is to present a conceptual framework that shows theelements to consider when designing team training programs to help students to becomeeffective team players. First definitions on teams and team effectiveness are presented, followedby an overview of the need of team training. Then, a summary of the team training literature isshown and finally the Effective Team Player (ETP) - Team Training Framework is
in the world, serving close to 3 million students every year,3 and providing affordableand accessible education to diverse student populations. Students are able to complete all oftheir lower-division coursework at a community college and then transfer to a four-yearinstitution to complete a bachelor’s degree. In 2007, for instance, nearly half of California StateUniversity (CSU) and University of California (UC) graduates began their college years at acommunity college4—and, upon transferring to a four-year institution, obtained GPAs equal to,or better than, “native” CSU or UC students.4 The success of California community collegetransfer students is consistent with a recent national study based on a database tracking ofstudents from 21
several other organizations for a total of more than $2 million. His current research interest focuses on rural community engagement for transportation projects, road user cost, sustainable design and construction for knowledge based decision making, and engineering technology education. He also con- tributed to data analysis methods and cost effective practices of highway construction quality assurance program.Dr. Uddin is a proponent of project based learning and developed innovative teaching strategies to engage his students in solving a real-world problems and prepare them with skills and knowledge that industry requires. Dr. Uddin is a member of ASEE, ASCE, TRB and CRC. Dr. Uddin is active with ASEE engineering
deemedappropriate. In short, this was a passive learning strategy.While the author, having done hundreds of presentations in industry settings, felt confident in hisability to produce effective slides and intentionally drew on his experience to include stories of“real life” applications of what was being taught, colleagues who observed the author teachingnoticed that students became unengaged with the lectures after 15 to 20 minutes.The author also noted that while his end-of-course evaluations from students wereoverwhelmingly positive, there was still a substantial fraction of students who simply “did notget it” as evidenced by the number of students who received grades of D or F or withdrew duringthe semester. The author felt certain there must be a
VHF/UHF-Band Video-Streaming Payload for Near-Space Operation and Lessons Learned Sara M. Jones, Zachary O. Dickinson, Andrew D. Snowdy, Nicholas B. Conklin*, and Wookwon Lee Department of Electrical and Cyber Engineering * Department of Physics Gannon University Erie, PA 16541 Email: lee023@gannon.edu1. Introduction Over the past few years, we have been developing a prototype of a real-time, multi-windowvideo streaming system employing several Raspberry Pi’s and
prerequisite junior- and senior-level courses is listedfor each project. Students enrolling in a specific project are required to have completed at leastone of the prerequisite courses; each team must have one or more members with background ineach critical area. Prerequisite courses for the Robotic Laser Tag project include courses in real-time embedded systems, control systems, C/C++ programming, and VHDL design. The projectalso requires knowledge not addressed in prerequisite courses – most notably in the areas ofcomputer vision and system integration – so students have to come to grips with new technicalmaterial as is typical of real-world engineering projects. Essential background for these topics isprovided through both lectures and online
). Lindblom-Ylänne et al.6 concurred, noting that faculty supportduring change was necessary. Thus the question becomes what kind of supportive strategy workswell in a real-world environment.Supportive StrategiesThree common supportive strategies are discussed in the literature. The first, a professionallearning community (PLC), focuses on creating a school climate that ensures all students learn.11Although this strategy is common in K-12 school reform, it appears to be uncommon in highereducation, at least within STEM disciplines.The second supportive strategy is a community of practice. Wenger and Snyder12 claimedcommunities of practice (CoP) consist of “groups of people informally bound together by sharedexpertise and passion for joint enterprise
necessary to implement curriculum changes [12]. This is challenging for any discipline tothoroughly incorporate, and all the more challenging for engineering programs which have somany technical components that are necessary for accreditation. Arguably, the best way toapproach this is to reconsider how the standard engineering curriculum can be taught alongsideimplementing or highlighting the cultural competencies that naturally go hand-in-hand withvarious units. This could range from teaching a brief history of marginalized voices that are leftout of the conversation, bringing in guest speakers from various community backgrounds, andgetting students to learn via diverse, real world experiences.This implementation aligns with the push for
university with highestresearch activity [26] who incorporates ethics into a graduate-level biostatistics course throughdiscussions of sample size and responsible conduct of research noted that such topics areinherent to statistics. Discussions of ethics are almost inevitable when you put things in the real context, things only become devoid of moral component when they’re viewed in isolation. When you get something to where it’s only this tiny narrow piece of the world that you’re looking at a time that you’re able to recognize it as something that does not have morality tied into it, and you have it in a broader context and you see how it’s going to impact the world, then I think, like I said, it falls very naturally to it [statistics
, better engineering design instruction might be achieved through understanding thestrengths and limitations of these tools. In the engineering context, their effectiveness isoftentimes judged based on how students use them to 1. Adjust to different settings, 2. Integratetheir already developed skills as “digital natives”, 3. Simulate real-world engineeringenvironments, or 4. Provide alternatives to traditional one-way instruction that are more suitablefor design [6]. Contemporary tools offer users opportunity to be content creators when usingelectronic media, allowing for even more creativity and autonomy in design instruction [7], [8].This paper focuses on the use of Slack, a cloud-based social software and its applications in firstyear
principles: 1.) Model Construction: Requires the development of a model or decision algorithm. 2.) Reality: The MEA must be set to a relevant engineering application. 3.) Generalizability: The resulting model should apply to other similar applications. 4.) Self-Assessment: The students must be able to verify the quality of their own work. 5.) Model Documentation: Requires a response or memo describing the model. 6.) Effective Prototype: Ensures the involvement of key concepts usable in future work. Page 22.1519.3These principles are maintained to ensure that the MEA research is consistent and effective. Forthe research in this paper, the
, encompassing applications such aspredictive analytics for student performance, natural language processing for automated feedback,and adaptive learning platforms that customize educational content [12].A particularly groundbreaking development in AI is generative AI, exemplified by tools likeOpenAI’s ChatGPT. ChatGPT represents a leap in AI’s ability to generate human-like text andprovide real-time, context-aware responses. Its applications in education are manifold: offeringpersonalized tutoring, aiding in content creation, and fostering critical thinking through interactivediscussions [18]. ChatGPT’s deployment in educational contexts raises ethical concerns, such aspotential bias, misinformation, and student over-reliance. As noted in [20
observation that determinism may not imply predictable or regular (or periodic)behaviour influenced many areas of science and engineering. This observation led to thediscovery of chaos that has had a significant impact on our conceptual clarity andknowledge of the real-world problems. The purpose of this article is to introduce thefundamental principles of discrete dynamical systems and chaos from the point of viewof numerical algorithms and visualizing such dynamical systems using Matlab. Thissubject throws more light on the chaotic physical phenomena arising in the biochemicalreactions, lasers, fluid flow, hurricane, tornedo, and earthquake. The study of chaos or,more generally nonlinear dynamical systems, became a fascinating area since early1960
were crafted to be enjoyable andrelate to real-world engineering problems while offering the best chance for team-based problem-solving in a limited amount of time. The daily camp schedule (shown in Figure 2) was rigorouslyadhered to ensure smooth transitions and student satisfaction. Pre- and post-camp surveys wereadministered to assess students' attitudes toward engineering and their perceptions of the field. Thesurvey included both multiple-choice and open-ended questions. The camp started by giving thecampers an introduction to the camp and then followed a tour around the school of Architectureand Engineering Technology (SAET). Figure 2. FAMU Engineering Technology Summer Camp Daily Schedule Camp Class Sessions and Activities
formulating and maintaining a research notebook weregiven in the “Documentation Seminar” to close out the seminar series. Each seminarconsisted of hands-on activities that demonstrated the application of the material coveredduring the workshop. Students were then encouraged to use the applications whileconducting their own research throughout the summer. Details on the procedures used to implement each seminar are included in this work.A survey assessment of the research skills seminars was also conducted. The surveyfindings show the effectiveness of the research seminars in enhancing studentparticipant’s understanding and application of research skills. The 2007 program yearsurvey results provide insight on the overall effectiveness of
comprising four differentiated campuses that positively impact the economic,social, cultural and environmental health of the communities it serves. Its research is inspired byreal world application, blurring the boundaries that traditionally separate academic disciplines.ASU serves more than 63,000 students in metropolitan Phoenix, Arizona, the nation’s fifthlargest city. ASU champions intellectual and cultural diversity, and welcomes students from allfifty states and more than one hundred nations.Enrollment at ASU in Fall 2007 reached a record 64,394 students, growing by nearly 9,000students since 2002 according to another part of that website (http://asunews.asu.edu/20070925).All four ASU locations experienced increases, with the greatest gains at
x Economics/ finance x Real world problems
of the camp are tied: approach,activities, advertising, application process, assessment and budget.The mission statement for Engineering Summer Camps is: To provide an enlighteningeducational, hands-on experience for elementary, middle and high school students and teachersthat introduces, broadens perspectives and enhances experiences in the disciplines ofengineering and to attract a diverse population to the field of engineering by providing initial orreinforcing positive experiences to all populations. Page 26.644.3The goals are:Goal 1: Attract a diverse population to summer programs.Goal 2: Provide an overview of engineering and its many
with the Society of Hispanic and Professional Engineers(SHPE) and the National Society of Black Engineers (NSBE) at the University. Students are trained using a service-learningcurriculum derived from the Thomas Principles, which was originally created for the STARS Alliance in response to the need toprovide culturally responsive outreach programs for students in technical fields. From the population of students who receive thetraining, 12 will be selected to serve as mentors for the Bulls-EYE Pilot Program. The curriculum is developed applying a service-learning framework and mentoring models with contributions from NguzoSaba28, Africentricity theory20, and Borderlands theory3. Through the application of mentoring models to existing
objective of most undergraduate engineering curricula is to prepare students to solvechallenging problems by applying technical knowledge to create original ideas and then turnthose into practical applications. In addition to providing the technical knowledge, it isbecoming progressively important that the engineering education provide students with theleadership tools needed to excel in their professions and to become ethical leaders in anincreasingly complex world. The demand for principled engineering leaders will continue toplay an increasingly vital role in the discovery of new knowledge and technologies that canaddress the complex global problems facing society. This demand amplifies the importance ofintegrating ethical leadership and
‘real world’ company. Engineering expectations include applying both previously Page 12.578.3learned and newly acquired knowledge and skills to identifying, formulating, and solving acomplex engineering problem which results in tangible deliverables and a financial incentive forthe company. Engineered solutions will consider extensive ramifications, including political,ethical, environmental, social and economic issues, as well as sustainability andmanufacturability of solutions. Project developments will be communicated formally andinformally, through written and verbal means, to all levels of personnel. Personal effectivenessskills will be
College (B.A., 1976), WSU (B.S., 1981, M.S., 1988), and the University of Oregon (Ph.D., 1993). He is currently a Clinical Assistant Professor in the Gene and Linda Voiland School of Chemical Engineering and Bioengineering. He has been the President and CEO of IPM, a medical device company and Total Dynamics, LLC, a software company. He is also on the board of directors of Developing World Technologies, a company started by former students of the capstone class that he teaches. His interests include engineering and entrepreneurship pedagogy and assessment, technology development, and clinical applications of biomedical instrumentation.Prof. Susannah Howe, Smith College Susannah Howe, Ph.D. is the Design Clinic Director
and development of new ventures.Multi vs. Inter. vs. TransdisciplinaryIn this work, a very broad definition of Multi/Inter/Trans disciplinary approach was used.Throughout the interviews, participants were not corrected on the use of the terminology as theinterview transcripts were coded and interpreted by the researcher. Throughout this report theterm interdisciplinary will be used to encompass all types of collaborative work. However, thedefinition of Multi/Inter/Trans Disciplinary approaches and their application in education areprovided below. Figure 1 illustrates how different disciplines and partners are integrated and thetype of outputs produced by each approach.Multidisciplinary includes knowledge from a wide variety of disciplines