NI LabVIEW and myRIO hardware.The remaining sections present the pedagogical approach, course content, laboratorydevelopment, sample laboratory exercises, and course evaluations.Pedagogical Approach of the CourseThis course uses a “learning-center pedagogy” for teaching the class. The lecture focuses onexplaining the fundamental concepts of the subject matter while seeking active participation fromthe students. Active learning approaches are used during the lecture sessions, which build uponthe students’ prior knowledge of the subject matter discussed during the class and the requirementto imbibe the concepts. The course content is listed in the Table 1 below. The lecture andlaboratory use chalkboard, PowerPoint presentations, animation and
steal the credentialinformation or infect victim’s device with malware, has been introduced. Here, we propose the“Phishing Wi-Fi” man-in-the-middle attack utilizing Wi-Fi, HTTP, and DNS for cybersecurityeducation. Since virtualization technology, commonly used in cybersecurity education, is notsuitable for wireless lab exercise, we use Raspberry Pi, small and affordable computer, to buildWi-Fi Phishing lab. In this paper, we introduce the concept and guideline of the Phishing Wi-Fiattack using Raspberry Pi including building, delivery method, and countermeasures.1 IntroductionOver the past decade, Internet became an essential component not only in human daily life butalso in many different sectors including economy, industry, and etc. Such a
(see Fig. 1) is utilized,equipped with round tables and individual monitors near each table. The delivery formatcombines lecture and group work, with student groups reporting out their work to the classutilizing the collaborative technology of the room. Figure 1. Students in a collaborative learning classroom.A typical 75-minute class session begins with a brief reading quiz, followed by a short lecture(~30 minutes), followed by a group activity or discussion with a report-out requirement (30minutes), and closing with another short lecture. The course requires significant out-of-classreading and research, and reading quizzes are utilized to motivate these assignments. In addition,peer evaluation is utilized for the team
are often considered the most foundational for engineering students.Yet, these courses have become impenetrable from changes in content and pedagogy and areoften abstracted from any human or societal context. One reason for this abstraction may be dueto the understandably prolific use of the “engineering problem-solving method” (EPS) or“engineering as problem definition and solution” (PDS), which teaches students how tomethodically approach a technical problem and produce easily checked solutions [1]. However,the EPS method has perpetuated the dominance of mathematical problem solving as the highestvalue in engineering [2], often unintentionally reinforcing the worldview that technical rigor ismore important than the context in which
; (2) THERMAL COMFORT – VisuallyExperiencing Heat; (3) AUDIBLE COMFORT- Visually Experiencing Sound; (4) DAYLIGHT -Visually Experiencing Light; (5) SHADING - Visually Experiencing Shade.To implement these modules, various technical tools and laboratory equipment were utilized tosuccessfully develop haptic learning modules (Table 1). Table 1 demonstrates the equipmentassociated with each module, its usage and proposed future equipment that might enhance thehaptic learning pedagogy. Table 1:Equipment & Tools for each module, its usage and proposed future amendments• Module One: (NATURAL VENTILATION)- Visually Experiencing AIRThe first module describes Computational Fluid Dynamics (CFD) technology to analyze airflowswithin the building
; a United States Air Force general recently stated, “Our current defense acquisitionsystem applies industrial age processes to solve information age problems [1].”Emergent behaviors (wanted, unwanted, and unanticipated) are particularly difficult to managewith traditional systems engineering approaches. Although functional decomposition and relateddeconstructive approaches are useful, they fail to fully manage interactions. As David Cohen,Director of Naval Air Systems Command’s Systems Engineering Department, recently stated:“We have been using Newtonian systems engineering. We need quantum or string theorysystems engineering to manage modern system development [2].” Model-Based SystemsEngineering (MBSE) is one solution to this
parts of complex systems, a considerationrealized at the beginning of the design process [18]. In the ABET requirements and criteria, formechanical engineering technology, the programs prepare graduates with knowledge, problemsolving ability, and hands-on skills to enter careers in the design, installation, manufacturing,testing, technical sales, maintenance, and other endeavors typically associated with mechanicalcomponents and systems [18]. Therefore, the optimal methods of instruction are to bring somedesired outcomes in knowledge and skills in materials and manufacturing technology forundergraduate students in the engineering technology programs. Figure 1: Transforming student learning-outcomes by m-POGILFigure 1 presents a schematic
providing error specific textual feedback Figure 1. Coding schema used to classify formative feedback notations.Because there is generally little guidance given to the teaching assistants about the amount offeedback that is expected, it can vary widely. In an unstructured feedback system, at any point inthe student’s work an assessor may choose to provide one or multiple types of feedback. Tocollect the data for this study, we considered each notation on the student’s work as a datum andrecorded the type of feedback it represented using the schema in Figure 1. We did not record therelationships between the notations (e.g. a check mark with an elaborating text phrase wasrecorded as two unique data). This methodology could be considered
interpreting the regression coefficients, we achieve our secondresearch goal to suggest specific improvements that instructors can use to give their students morefailure opportunities during PBL.1 IntroductionABET’s Criterion 5 requires engineering programs to provide all undergraduate students a majordesign experience that entails technical knowledge and skills acquired through the curriculum andincorporates realistic standards and constraints. The major design experience mentioned in thecriterion is an example of project-based learning (PBL): the theory and practice of using real-worldprojects that have time restrictions to achieve specific objectives and to facilitate individual andcollective learning [1]. PBL is a learner-centered approach that
American) decision to discontinue her pursuit of a STEM doctorate.1.1 Intersectionality Framework The current study is grounded in the theoretical framework of Intersectionality (Collins,2000; Crenshaw, 1991). Central to this approach is the nuanced way in which people’s livedexperiences are shaped by a multiplicity of interdependent social categories and identity markers(Cole, 2009). For example, the structures of race, class, and gender ‘‘create disadvantages forwomen of color’’ but also ‘‘provide unacknowledged benefits for those who are at the top ofthese hierarchies’’ (Zinn & Dill, 1996, p. 327). More recently, Purdie-Vaughns and Eibach(2008) coined intersectional invisibility and defined it as “the general failure to fully
in need ofstrengthening. As a profession, engineering recognizes the importance of ethical behavior, citingit as the first obligation of a newly graduated engineering student,1 and as the final canon of theNSPE Code of Ethics.2 Given this recognition, engineers should take a leading role in serving asa positive role model for the ethical behavior expected within a healthy society. Engineeringeducators play a key role in developing engineers who see this role as a key aspect of theirprofessional responsibility. By ensuring that engineering ethics becomes an increasinglyimportant component of engineering education, educators can model the way to instill thesebehaviors in professional practice
what they need to know mathematically. Thispaper presents just such a documentation of the mathematical content in a typical first-year physics course.1. IntroductionThe Department of Mathematics of a typical large mid-western university teaches alarge number of students each year, of whom about 70% are engineering students. TheDepartment of Physics teaches also teaches many student each year, of which about75% are engineering students. Many of these engineering students are enrolled in thebasic first-year courses in physics and mathematics, and to accommodate such largenumbers, course enrollments are split into multiple large lectures and supplementedwith smaller recitation sections.To ensure uniform teaching, the curriculum in physics and
autonomously without further manual input. The system should also have the ability tobe programmed to fly to predetermined patrol routes, freeing officers to perform other necessarytasks and services.Second goal is for the APSS system to be equipped with both a live-video-feed wireless camera,as well as a standard mini high definition camera. The purpose of the first camera will be toprovide visual information to police officers, so that they can quickly determine a proper courseof action in the case of a crime or general disturbance of the peace on campus. The purpose ofthe second recording camera is for storing permanent flight footage, to be used for police records
effectiveness of an engineering curriculum is measured by how well studentscan apply and integrate their technical knowledge to solve real life problems. The currentengineering curriculum has been designed to only to provide the theory, however, it doesn’tprovide the integration of how this knowledge can be applied. The courses that are taken aspreparation for system engineering students include standard mechanical studies such asstatics, dynamics, and structural analysis, but also, computer software and hardwarecourses that study C programming, circuit analysis and electronics. These types ofcollegiate engineering classes that are taken on a general level in all system engineeringdisciplines, are supposed to provide the theory that is needed to build
conventional graduate studies. Therefore, establishingan arrangement where graduate students can serve as mentors to groups of undergraduatestudents provides an opportunity for some supervision/management experience. Ideally, thechosen graduate student mentors have had a few semesters of graduate work to “get a start” ontheir research so at least the technical advice they provide meets a reasonable standard.The new concept of our approach is that undergraduate students will obtain a significant researchexperience working under direct mentorship of experienced graduate students, and the wholecourse is structured on this basis. A schematic diagram of such an organization (and mentorship)is shown in Figure 1 below. In practice, a hierarchy of graduate
advancement in the global society, so it is crucial to understand theunderrepresentation of women in these fields.Data from the Integrated Postsecondary Education Data System (IPEDS) was used to constructFigure 1. The visualization shows the number of male and female students that completebachelor’s degrees in engineering for a given year between 2012 and 2021. The secondary axison the right shows how the male to female ratio is changing over this time span, visualized in thegray line at the top of the graph. From this graph, certain trends can be deduced. In general, overthe ten years, male and female degree completions have increased, thus the total number ofengineering degrees is increasing as well. Near the end of the time span, this number
” attribute of the “Employment Outcome” variable. The “Successful” attribute of thisvariable is coded as 1 and the “Unsuccessful” attribute is coded as 0. © American Society for Engineering Education, 2022 2022 ASEE Annual ConferenceThe “Employment Outcome” variable is the dependent variable for the data analysis.The final pre-processed data (in Stata) is made up of 194 records (rows) and 13 variables(columns) after the exclusion of missing data and the generation of a common data sample.Below is the descriptive statistics table for the pre-processed data: Variable Number of Mean Standard Min Max Observations
Paper ID #33597Exploring the Team Dynamics of Undergraduate Engineering Virtual TeamsDuring the Rapid Transition Online Due to COVID-19Miss Alexis Rae Walsh, University of Tennessee at Knoxville In May 2021, Alexis completed her fourth year at the University of Tennessee in Knoxville, earning a B.S. in Honors Industrial Engineering with a minor in Reliability & Maintainability Engineering. Beginning in July, Alexis will be starting her career as a Technical Solutions Engineer for Epic Systems.Ms. Sarah E. Norris, University of Tennessee, Knoxville I am majoring in Aerospace Engineering with course work in computer science
Session 3: for Visiting Faculty based on regularly scheduled seminars) Session 1: Dinner for Visiting Faculty DinnerWhat’s next?The next steps in leading transformational change will require an authentic partnership betweenWOC engineering faculty, academic engineering leadership and the engineering faculty at large.In the white paper entitled, “Inside the Double Bind: A Synthesis of Empirical Research onWomen of Color in Science, Technology, Engineering and Mathematics,” a team led by MiaOng wrote that, “The particularistic norms of the scientific community can lead to the exclusionof women of color from the workplace milieu, often very important to career success. Institutionsshould be more aware of
learning practice are presented and discussed,and transformative outcomes that can be linked to seminar participation presented.IntroductionWomen have historically been underrepresented within the ranks of tenured or tenure-trackfaculty with Science, Technology, Engineering, and Mathematics (STEM) disciplines [1]. This isespecially so at higher academic ranks. The National Science Foundation (NSF) has recognizedthis issue and has been funding Institutional Transformation (IT) projects geared towardsremedying this shortcoming. In fall 2014 Oregon State University (OSU) received such anaward, created OREGON STATE ADVANCE, and established its overarching goal to serve as acatalyst for advancing the study and practice of equity, inclusion, and social
priority of achieving diversity of sexual identity came later to nationalconsciousness and has been more difficult to promote. Only four years ago, ASEE drewbitter criticism when its official magazine, Prism, published a letter expressing anti-gayopinions. The incident prompted not just criticism of the editorial staff but alsoobservations that the community of engineering educators remains timid about discussingthese most difficult topics of difference and inclusion.1 Such timidity, some engineeringeducators argued, discourages necessary change to support greater inclusivity within theengineering profession. In recent years, however, ASEE has dramatically altered itsstance on issues pertaining to lesbian, gay, bisexual, transgender, and
. Thomas served as the Virginia Community College System’s director for statewide Workforce Investment Act programs. She also served as Director of Capacity Building for the Cameron Foundation, and Deputy Director at the Crater Regional Workforce Investment Board in Petersburg, Vir- ginia. Over the course of her career, Dr. Thomas’ work has generated grants and contracts totaling more than $1.5 million.She was named a Southeastern Council of Foundations Hull Fellow, keynote speaker at the Virginia Career Coach Academy and Commencement Address speaker at Fortis College, Richmond, VA. In February of 2013, she received the Living Legacy Award from the Association for the Study of African American Life and History. She
to perform (Meadows et al, 2015).Women and students of color can be stereotyped as less intelligent, less competent, or asunderperformers (Meadows et al, 2015; Wolfe et al, 2016). It is often assumed that these studentshave not been accepted to a STEM program based on merit, but based on policies that favorhistorically underrepresented students (Meadows et al, 2015). In a published writing piece, astudent at Worcester Polytechnic Institute explains: When the other girl gets accepted to RPI and WPI and Cal Tech and MIT, and the acceptance letters pile up….I watch the boys whisper in her ear: ‘They’re just meeting 1 their
both the classrooms of U.S. schools and the general workforce is needed tounderstand why this is occurring and what pedagogies can be added, removed, or enhanced toslow the rapid decline of underrepresented students in engineering. The object of this research isto discover pathways of engineering undergraduate students in their first two years in order tobetter understand their engineering identity and the relationship to graduation. Assessment of theengineering identity and mindset during the sophomore year will be done to both understand thegrowing diverse student body and to suggest changes in student and faculty engagement andinstructional activities. In this project, the authors will: (1) identify biases formed by studentswhen they choose
reports.3.2 Spring 2016For spring 2016 semester the project requirements was stated as follows:(1) Use a simulation software such as Matlab, Solidworks, ABAQUS, COMSOL, CATIA, orAutoDesk to simulate a material property. For example bending, tension, compression, torsion.Most of these software can handle both CAD and simulation.Or, (2) Using a simulation software such as Matlab, Solidworks, ABAQUS, COMSOL, CATIA,or AutoDesk simulate a manufacturing process. Example metal cutting, annealing, bending,forging.Or, (3) Review a topic on material science or manufacturing and write a short report.For (1) and (2) above the students were required to describe how the problem was set upincluding CAD, mesh generation, the boundary conditions, the results of
absolute relative absolute relative variation variation variation variation Technical 0.41 12% 0.43 13% Complementary 0.49 15% 0.60 17% Interpersonal 0.83 24% 0.83 24%Table 1: Absolute variation per competence category and per program.When analyzing differences between the host universities, it was discovered that Spanishstudents perceived bigger improvement when studying in Scandinavian universities for technicaland interpersonal competencies than in other countries. The country with the highest results for“teamwork” was
more than provide tools for the classroom.They also help host materials education symposia, bringing together educators from around theworld to discuss best practices and learn from one another. These support avenues are largelyfocused at higher education, so there is a need to simplify and improve access to content tosupport outreach.To address this, Learn Materials is being created. This is a summary of our work towardsdeveloping support for educators carrying out STEM outreach to High Schools. Learn Materialswill be a web-based database that is free, no password needed. This highly interactive formatruns on a web browser, making it accessible to those in K-12 schools and other outreach venues.In this paper, a general overview of how Learn
– Analyzing, Anderson et al. 1 , Bloom et al. 2, or level three – Relativism, asproposed in Gainsburg 5 , specifically its components: Attempts to relate mathematicalprocedures to physical phenomena, to guide solving, and Appreciates instructor’s derivations.College success, student learning and student engagement are generally viewed as correlates,Chen et al. 4, Kuh et al. 9. In fact, authors agree that “student engagement is a precursor forknowledge and understanding”, Shulman, L.S. as cited in Kuh et al. 10. Student engagement canbe seen as predominantly influenced by the institutional context (i.e. facilities, from libraries andlaboratories to residence halls, and administrative support) and by the faculty, through the qualityof instruction and
leaks. Many highly used hashtags representedcurrent threats and the overall sentiment of cybersecurity tweets are negative. Highly connected users onTwitter served as hubs across the three primary sub communities identified in the data. Insights from hisstudy can assist with improving workforce development by guiding professionals in getting pertinentinformation and keeping up to date with the latest security threats and news.1 IntroductionSecurity professionals are required to constantly learn in order to be successful at what they do. This learning is critical as thesecurity landscape constantly changes, with new threats and technologies being introduced on a daily basis. This dynamiclandscape means that professionals must be able to keep
take during a typical, collaborative learningclass-day. COPUS allowed the researchers to observe F1 and F2’s classes with minimal bias, as theprotocol contained specific actions to be marked if observed during the class time (not allowingfor extraneous observation, unless otherwise noted in a comment). The researchers used anonline platform through U.C. Davis’s generalized observation and reflection platform (GORP)which provided an interval timed capture, every 2-minutes, of instructor and student action(s)observed. The protocol is divided into two specific codes: 1) Students are doing, and 2)Instructor is doing. The ‘Students are doing’ codes included: listening to instructor, individual problemsolving, discussion among groups