problematic with many examples involvingparticipant’s actively being incentivized to participate in unethical behavior. Through theplacement of false information within a crowdsourced event, outcomes can be affected such asthe swaying of consumer behavior from targeted bad reviews, the rerouting of human trafficthrough the input of inaccurate traffic or geographic data to crowdsourced systems, throughprank activity to cause harm to others or changing other’s crowdsourcing competition entries toalter the outcome [25].1.4 Research Purpose As crowdsourced and open innovation initiatives are continuing to grow in popularity,scope and global reach, it is imperative to consider the ethical implications for both theparticipants, and those who are
Competencies and Resource Introducing the project andSummer Material current research problems Linux Tutorials Network Security & Basics 1-2 Preliminary training OSI Model Review Wireshark Tutorials ● Set-Up the Raspberry Pi as a Wireless Access Point & Dongle ● Set-Up Kali Linux Virtual Machine 3 Review the Bluetooth Create a user profile and Initial System Set-Up Chapters in Hacking enter ‘dummy’ data into Exposed Wireless the user application (Project 1a) (Project 1b) • Research Cybersecurity Terminology &
it is the nature of lecturing on anew topic that interested the students. The spring group was a closer-knit cohort, so that may bean important factor. Regardless, normalizing the expectations would help keep all studentsengaged at an appropriate level.This one small class was not enough students to do a quantitative assessment of learning. Also,the specific assessment and dissemination to others of this model was an afterthought, so onlythe normal scheduled assessments were initially done. A follow-up with three students a yearlater did elucidate and reiterate some of the observations. Future offerings, or use of this modelin other courses, will include a more formal assessment.Summary and RecommendationsThe graduate research model appeared
/RETprogram is efficacious in increasing participant’s confidence, knowledge and desire to pursuefurther engineering research experiences. This paper presents these insights along with supportingprogram evaluation findings.IntroductionThe National Science Foundation (NSF) provides a significant amount of funding to supportundergraduate student research in engineering and science through its Research Experience forUndergraduates (REU) program. The REU program, initially established in 1987, increase accessto research opportunities to underrepresented minority students and students coming from nonresearch-focused undergraduate institutions[1]. Research experiences for undergraduate studentshave long been identified as a powerful tool to support and
facilitatecollaboration and to reflect a real-world work experience for the student design team. As part ofthis method, student illustrators met with the creative director and the client initially to assessproject scope, and analyze the client’s needs, before proposing their own creative solution. Takingcues from science based comics strip, The Far Side by Gary Larson [18], students chose to usecartooning and humor as a method of making a STEM subject more universally palatable. Thestudent designers built their knowledge base through research, which informed their characterdesigns, resulting in the creative solution of animals who live underground as the cast of creaturesexplaining soil mechanics, Figures 1 & 2.Figure 1. Sample of the work produced through
chemical and biofluids. Moreover, fluidic handling is the bottleneck for productionthrough-put in large scale DNA sequencing and IVD systems. The research question: “Is it possible toprovide a valuable learning experience through a faculty-initiated, authentic-industry productdevelopment effort in an undergraduate research program in a community college?” Two-yearcommunity colleges have very limited co-op / internship opportunities compared to 4-year schools. Figure 1. Example of an 8-channel dispenser using high precision nozzlesSuccess of any authentic industry experience requires careful planning before and during execution of thecycle and perceived authenticity. We chose judiciously narrowing the traditional development cycle
refinethe activity to better meet the goals.References1 Using Demonstrations to Explain Abstract Science Concepts, Research Brief Series, ISSN 2010-3093, No. 20-018, Hariom Jani, Aarushi Khandelwal, Leong Tze Kwang, Yarong Yang and Thirumalai Venkatesan2 Power Unit PU-26A/U, Department of the Army Technical Manual TM 11-976A, Department of the Air Force Technical Order TO 16-35PU26-6, July 19543 Understanding Demonstration-based Training: A Definition, Conceptual Framework, and Some Initial Guidelines, (Technical Report 1261), Eduardo Salas, Michael A. Rosen, and Davin Pavlas, University of Central Florida Department of Psychology, and Institute for Simulation and Training., Randy Jensen, Dan Fu, and
operation phase in which the existing assessmentprocess was used until a point at which it was no longer sustainable due to inefficiency andimpracticality stemming from the manual procedures.With the conclusion of the initial cycle, observations are noted during operation of the currentimplementation. These comments are then compiled into a list to create the bases of the ideationfor the second iteration, at which point TCC began its collaboration with USCB to research anddevelop a new, more automated process for data collection and analysis.Second Iteration: Improvements introduced by USCBThe subsequent iteration used the observations made from the previous cycle as the foundationalbasis for improvement. More specifically, USCB’s involvement
Paper ID #35695A DEI Task Force within a Mechanical Engineering DepartmentDr. Dustyn Roberts P.E., University of Pennsylvania Dustyn Roberts is a Senior Lecturer at the University of Pennsylvania. She received her B.S. in Mechan- ical and Biomedical Engineering from Carnegie Mellon University (2003), her M.S. in Biomechanics & Movement Science (2004) from the University of Delaware, and her Ph.D. in Mechanical Engineer- ing (2014) from New York University. She is passionate about translational research and engineering education.Dr. Robert W Carpick, University of Pennsylvania Robert Carpick is the John Henry Towne
Engineering Programs at the State University of New York (SUNY) at New Paltz. He received his B.S. from National Tsing-Hua Univer- sity in Taiwan in 1990 and M.S. and Eng.Sci.D. in Materials Science and Engineering from Columbia University in 1995 and 1997, respectively. Subsequently he joined IBM Microelectronics as an R&D sci- entist/engineer for a 21-year career in the microelectronics industry to develop advanced semiconductor technologies. He joined SUNY New Paltz in 2018 with expertise in materials science and solid mechan- ics, as well as research interests in stress-induced phenomena in engineering materials, microelectronics reliability and additive manufacturing of metals. He has over 50 technical
- fort. A graduate of Purdue University (PhD 2016), his research focuses primarily on reducing barriers to the learning process in college students. Topics of interest include computer science pedagogy, collabo- rative learning in college students, and human-centered design. Of particular interest are the development and application of instructional practices that provide benefits secondary to learning (i.e., in addition to learning), such as those that facilitate in learners increased self-efficacy, increased retention/graduation rate, increased matriculation into the workforce, and/or development of professional identity.Mr. William Rigoberto Mercado, University of South Carolina I am an undergraduate at the University
temperature response for the two fluids which areinvolved in the process. Moreover, the response of the system is analyzed in real-time with the useof MATLAB® and Simulink® software, including the Simulink S-Function block. This block isused to generate real-time solutions for nonlinear systems which can be modified and updated bythe user as the simulation is being conducted, similar to a physical system.The virtual crossflow heat exchanger simulation software incorporates three MATLAB ® scriptsincluding an initialization script, a calculation script, and an S-Function script, in addition to aSimulink® data file containing the user interface and the block diagram of the system. As shownin Figure 2, the simulation sequence is performed beginning with
, research and internships.For its intended purpose to inform the initial development of the preparatory courses, it is notcritical that all current students participate in this survey as we expect that the courses will berefined over their first few offerings to reflect the needs of the greater student population. Ourminimum target response rate is 25%.Two primary research questions are to be investigated using the results of this survey. 1. How do the attitudes/behaviors of sophomores differ from those of juniors and seniors? o Perceived importance of prerequisites o Study habits (independent and help-seeking) o Understanding of curriculum o Perceived importance of participation in extracurricular activities 2
2017. His research interests include linkage kinematics, computational mechanics, and modern theory of gearing. His research in gear transmission have been applied in robotics, marine transmissions, machine tools, and construction machinery.Dr. Jiawei Gong, Pennsylvania State University, Behrend College Dr. Jiawei Gong is an assistant professor or Mechanical Engineering at The Pennsylvania state university, The Behrend College. American c Society for Engineering Education, 2021 Fall 2021 ASEE Middle Atlantic Section ConferenceUtilizing Computational Tools to Enhance Student’s Understanding of Linkage Mechanism Zhiyuan Yu
project and research students.Aws AlShalash American c Society for Engineering Education, 2021 Improve Technical Communication using Scaffolding Method in Mechanical Engineering CoursesAbstractOne of the most effective and well documented ways, throughout literary sources, to educate anddevelop capable and independent professionals such as engineers combines lecture sessions withstep-by-step synergistic activities (experiments and reports). Therefore, many engineeringeducators are seeking experiential learning techniques and implementations that are innovative toassist students understand, exercise, and communicate engineering concepts they
Society for Engineering Education, 2021AbstractArchitectural Engineering is a established in US as a separate discipline from civil engineering andarchitecture. However, that is not true in South Asia. This paper intends to explore the current state-of-the-art of architectural engineering education in south Asia. In South Asia the Sir J.J School ofArchitecture (originally called the Government College of Art) in Bombay was the first modern schoolto introduce a structured course in architecture. In its initial years the one architectural event to capturethe imagination of the profession was the building of the Capital city of New Delhi by Lutyens. Manyof the faculty, such as Claude Batley, while intellectually sympathetic to the need for an Indian
probabilistically-flawed,potentially dangerous criteria [1]. These criteria have been in-use since at least the 1960’s [2],but their limitations were only formally recognized recently. While prior work has thoroughlyarticulated the technical issues in these flawed design criteria [1], [3], the present work aims tosupport formal study of how engineers recognize and treat variability, with an eye towardsunderstanding how the aforementioned flaws evaded notice for over a half-century.In this work, we present a novel theoretical framework and initial empirical results. We use theproposed cause-source framework to analyze aircraft design flaws and to design an interviewprotocol. Through interviews with engineering students, we find initial evidence of an
visiting Assistant Professor at the University of Texas at El Paso as well. Prior to joining the Southern Arkansas faculty as a full-time Assistant Professor in 2012, Dr. Ahmed taught at Georgia Southern University for four years. His research interests include combustion, computational fluid dynamics, 3D printing, and engineering education.Mrs. Kendra J Ahmed, Southern Arkansas University Kendra Ahmed obtained her BBA in Economics from the University of Texas-El Paso, her MS in Com- puter and Information Science from Southern Arkansas University, and her MBA in Supply Chain Man- agement from Southern Arkansas University. Since 2014 she has worked as an adjunct professor at Southern Arkansas University. She has
networks, geoid and gravity-field modeling. His main research interest is on building methods to increase, understand, and assess the quality/uncertainty in 3D geospatial datasets. His research develops new meth- ods and techniques to enhance functionality of 3D geospatial data and models. In addition, recent research interests include utilizing 3D data for creating realistic environments in immersive virtual reality, as well as the application of virtual reality in engineering education. American c Society for Engineering Education, 2021 Enhancing Math and Stat Courses with Surveying Engineering ProblemsAbstractThis paper aims to enhance mathematics and
Mendoza, New York City College of Technology Benito Mendoza is an Associate Professor of Computer Engineering at the New York City College of Technology (CITY TECH). Before he joined CITY TECH, he worked as a Postdoctoral Research En- gineer at ExxonMobil Research and Engineering Company. His areas of interest include Multi-Agent Systems, Bio-Inspired Systems, Context and Situation Awareness, and Artificial Intelligence in Educa- tion and Intelligent Tutoring Systems. He holds a PhD. in Computer Science and Engineering from the University of South Carolina and an MSc in Artificial Intelligence and a BSc in Computer Science from the University of Veracruz, Mexico.Farrukh Zia, New York City College of Technology
the top Frenchmathematicians, called Bourbaki, influenced math pedagogy to go beyond the grasp and needs ofthe ordinary engineer.Conventional math pedagogy obfuscates the limit concepts, forcing students to memorizeapparently incomprehensible material. An initially clear, visual presentation of the simple caseslets in fresh air, enabling a student intuitively to envision the arc of the study.Continuity and Differentiability:Continuity and differentiability are wonderful features of functions. Continuity means thefunction has no jumps and differentiability means the function possesses a tangent line.Differentiability means the function has a definite direction or rate of change. I will use the word“smooth” to represent the ordinary points of a