Conference of ISPA, US In India. She has organized Symposiums, Semi- nars and Conference. She was the Coordinator of the NITTTRc Golden Jubilee Celebrations. She served as Asst. Academic Editor of the Journal of Technical and Vocational Education, Newsletter Editor of IAAP, Editorial Board of Social Engineer, Asst. Editor of JIAAP, and Member of Staff Selection Com- mittees of Govt. Institutions. ©American Society for Engineering Education, 2023TRAINING FACULTY ON MENTORING STUDENTS IN HIGHER EDUCATION IN THE POST-PANDEMIC WORLDIntroductionImproving the competence of educators to support the future generation is a major challengefor faculty developers. Teachers are obligated to develop
Paper ID #39868A Systematic Review of Research on Training Faculty on Well-Being in STEMProf. Renukadevi Selvaraj, The National Institute of Technical Teachers Training and Research (NITTTR)Chennai, India Dr.S.Renukadevi, is the Professor of Education and Head of Centre for Academic Studies and Research at the renowned NITTTR, Chennai. She has 32 year of teaching Experience, of which 27 years at NITTTR, Chennai. She holds a Master’s Degree in Computer Applications and Doctorate in Computer Applications - Engineering Education with a PG Diploma in Guidance and Counselling. Her areas of Expertise include Engineering Pedagogy
Paper ID #13590Are We Preparing the Next Generation? K-12 Teacher Knowledge and En-gagement in Teaching Core STEM PracticesDr. Louis Nadelson, Utah State University Louis S. Nadelson is an associate professor and director for the Center for the School of the Future in the Emma Eccles Jones College of Education at Utah State University. He has a BS from Colorado State University, a BA from the Evergreen State College, a MEd from Western Washington University, and a PhD in educational psychology from UNLV. His scholarly interests include all areas of STEM teaching and learning, inservice and preservice teacher professional
identification with the duties,responsibilities, and knowledge associated with a professional role” 7. The path to becoming anengineer involves more than just gaining technical knowledge and skills; it involves the personaland social process of identifying with the profession. The development of an engineering identityis a challenge for many students because the field of engineering is typically associated with“things” (i.e. math, science, machines, technology) versus with actual people20. For URM andfirst-generation students developing an engineering identity is additionally challenging when theculture of engineering may clash with these students cultural, ethnic, gender, and/orsocioeconomic identity.Metacognition is often associated with exploring
from the Departments of Technology,Economics, Physics, Business, and others. The Renewable Energy Program operates on five goals that align with the strategic goalsof the college and university. The five goals of the Renewable Energy program are: 1. Provide students with high quality educational experiences by featuring a modern, up-to- date curriculum that will develop the technical and managerial knowledge, skills, and attitudes that are foundational to success as RE professionals. 2. Recruit and graduate a diverse group of individuals to support companies and organizations that will employ RE professionals in the state and throughout the United States. 3. Provide opportunities for students to interface with
Paper ID #37840LSAMP Bridges to the Doctorate: Preparing Future Minority Ph.D.Researchers through a Holistic Graduate Student Development ModelDr. Clay Gloster Jr., North Carolina Agricultural and Technical State University (TGC) Dr. Clay Gloster, Jr. currently serves as the Vice Provost for Graduate Research and Dean of the Gradu- ate College at North Carolina A&T State University. He received the B.S. and M.S. degrees in Electrical Engineering from North Carolina A&T State University (’85,’88) and the Ph.D. degree in Computer Engi- neering from North Carolina State University (’93). He has also been employed by IBM
Paper ID #37676Academic Success and Retention Pathway for Mechanical Engineering MajorDr. Paul Akangah, North Carolina Agricultural and Technical State University (NCAT) PAUL AKANGAH is a Teaching Associate Professor of Mechanical Engineering at the North Carolina A&T State University. He earned his B.S. degree from Kwame Nkrumah University of Science & Tech- nology, Kumasi, Ghana, MS (Energy Engineering, 2005) from The Royal Institute of Technology (KTH), Stockholm, Sweden, and Ph.D. (Mechanical Engineering, 2011) from the North Carolina A&T State University, Greensboro, NC. Dr. Akangah’s interests include
students (66.7%) took the survey. Note that not all students answered all questions. Inaddition, we extracted general analytics from Slack. The data are non-identifying. We analyzedthe survey answers and analytics data and interpreted the former in light of the latter to draw ourconclusions.ResultsSlack AnalyticsThe data consist of: • 5742 messages (the free version of Slack allows up to 10,000). • 17 public channels. • 46 total members. • 6 integrated apps. • 6 GB of storage used.Workspace activity was tracked from late August to late December 2019. Note in Figure 1 thesteady decline of the usage of Slack over the semester. This was expected as some students maydisengage or become busy with other classes as deadlines approach
course.The Propulsion Preliminary Design Course targets four student outcomes: 1. Graduating students will have experienced a core of humanities, social sciences, and communications and demonstrate the use of this core to enhance the technical content of their engineering curriculum. 2. Engineering students graduating from our programs will demonstrate proficiency in core topics in their program. 3. All engineering students will be proficient in engineering design. Page 25.819.12 4. All engineering students will demonstrate design competence through a major design (capstone) experience.Evaluating students against these
https://www.oculus.com/exper Engine of a power engineEngineering Lecture VR iences/rift/1755851804523719 Building 2. Describe the power Topic /?locale=en_US Demo generation process 1. Identify components of a Introduction to hydropower plant Civil, Electrical https://www.oculus.com/exper
undergraduate student’sdesign ability, the following research questions will be evaluated:1) Do students who use the VR tool perform better on design problems compared to students who do not use the VR tool?2) Are the distribution of grades for the design problems of the participant groups affected by student participation in the VR challenge?3) Do the students feel that VR helps them learn course concepts?4) Does the VR tool increase student’s confidence levels when completing engineering design challenges on chemical processing plants?5) Do participants feel the VR experience enhanced their design abilities and gave them an advantage when moving from their undergraduate degree to industry or post graduate work?4.0 MethodsThe research will be
Figure 3are samples of worlds with varying values of these attributes, all of which were taken at firstgeneration. Figure 3: Environment Seeding Example Generational length is simply how long a generation will last. The longer a generation lasts,the more time agents will have to achieve their survival requirements in order to pass geneticinformation onto the next generation. The integer value directly counts for the amount of steps thatthe agents will be able to take. The process for each step is as follows: 1. Receive Inputs – Each input neuron will be given a value gotten from the environment. 2. Generate Output – This is the computation stage, where each agent will figure out its output in
qualitatively identified differentways in which students engaged with MATLAB Live and how those differed between studentprogrammers' comfort levels. Additionally, quantitative analysis was used to understand theeffects the intervention had on student self-efficacy. The guiding research questions were: (1)How did such technology-supported scaffolded (MATLAB Live) modeling activity experiencesimpact student self-efficacy regarding programming and computational modeling? (2) Based onstudent comfort level with programming (self-efficacy), how did students vary in their reportedexperiences of MATLAB Live? The results of this analysis show that the MATLAB Livescaffolding proved beneficial to both novice and experienced programmers, yet student
assessment tool endorsed by the United Nations to measure the level ofsustainability knowledge. The instrument has been administered through an online platform tomeasure the Sustainability Literacy knowledge of Engineering students in both undergraduateand graduate academic programs. Analysis of variance (ANOVA) was applied to test thehypotheses and make comparisons. The results show statistically significant differences insustainability knowledge scores between students from undergraduate and graduate levels.One major finding involved the effect of generation on sustainability literacy. The sample’sundergraduates come from Generation Z, students who were born between 1993 and 2005, whilethe sample’s graduate students (Ph.D. and Master) come from
of spatial skills, and this difference may affecttheir performance of some tasks. The development of spatial skills is critical for understandingand analyzing 3D technical drawings in mechanics problems. Students with limited spatial skillsusually struggle to comprehend these figures. For instance, Figure 1 is part of a problem thatrequires students to determine the largest magnitude of 3D force vector F that can be applied tothe bracket so that the bracket remains under equilibrium. In this figure, the way the angles alongthe three axes around vector F are annotated might be difficult for students to comprehend. As aresult of this limitation in spatial analysis of 3D figures, faculty members may limit the use ofthree-dimensional problems in
Tan1 Stephen Kozakoff1 kokcheng@mail.usf.edu kozakoff@mail.usf.edu 1 University of South Florida, Computer Science and Engineering, 4202 E. Fowler Avenue Tampa, FL, 33620, USA 2 Institute for Simulation & Training EECS, University of Central Florida 4000 Central Florida Blvd Orlando, Florida, 32816, USAAbstractOur goal is to investigate whether techniques to automatically generate practice problems
comparisons included bothfunctionality and the actual python coding similarities and differences.The Raspberry Pi is the heart of both the physical and VM systems. The Raspberry Pi is wellsuited for IoT and uses the Linux-based Operating System and a general purpose Input/Output(GPIO).Virtual (VM) SystemSteps students were required to do to set up the VM System included:1. Install the Hypervisor VMWare2. Install Ubuntu Linux from an Image3. Install the Qemu Emulator4. Run Raspberry Pi Emulation in Qemu, emulate GPIO devices using the Python Library called TKGPIOThe QEMU is a type 2 hypervisor capable of emulating the Raspberry Pi hardware. QEMU canemulate arm, mips, and sparc as well as X86 architectures and is highly customizable.GPIO
instruction in first-year engineeringprograms. IntroductionGenerative artificial intelligence (GenAI) is increasingly used in both academic and professionalsettings, including engineering and engineering school. With GenAI, users can prompt largelanguage models (LLMs) that have been trained on existing data to generate text, images, andother media with similar characteristics. Used appropriately and ethically, GenAI could supportengineering students in their problem-solving, ideation, design, and learning [1]. But studentsmay use GenAI software inappropriately, possibly leading to intentional or unintentionalacademic dishonesty, inaccurate source citations, or reduced competence in essential skillsneeded
with organizing meaningfuland impactful events for other students as well as providing feedback from students to faculty and staffregarding college climate. Faculty mentors from the college’s DEI Committee helped to provide support,and guidance when needed, while still leaving the students with the autonomy to develop their own ideason how to work towards these goals. II. BACKGROUND The DEI Student Ambassadors program drew inspiration from similar initiatives in industry and academia.Most student ambassador programs exist in engineering departments or colleges to assist with recruitmentof new undergraduate students or with outreach to high schools [1], [2]. In [3], the authors describe an initiative
massmoment of inertia times angular acceleration JO α terms. An example of a generic KD-FBD pairis shown in Figure 1. A less discussed, but equally important set of diagrams that are alsointroduced in Dynamics involve the impulse-momentum principle. These diagrams are typically Figure 1 KD-FBD pair of a generic object moving and rotating in spaceintroduced to show the change in momentum and the impulses involved during impact. Anexample of a generic “Final-Initial-During” impulse-momentum trio is shown in Figure 2.Figure 2 Final-Initial-During trio of diagrams of a generic object moving and rotating in spaceOne reason for the emphasis that instructors place on selecting correct systems and drawingproper diagrams in Statics and Dynamics
. as compared to civilians. 6 Veterans and their families are 18 Civilians and their families are more likely to participate in more likely to participate in community and social events. community and social events.1 Survey is available as a Qualtrics package and suitable for distribution to other engineering and STEM faculty andstaff. Please contact corresponding author if interested. 7 Veterans are more likely to need 19 Civilians generally need more help help or advice than civilian and guidance than veteran employees
University of North Carolina University SystemAbstractThe University of North Carolina System (UNC System) includes seventeen campuses. Inresponse to an increasing interest in enrolling military service members and veterans, faculty andstaff at individual campuses and also at the state level have been in collaboration to determinethe best practices to integrate American Council on Education (ACE) credit recommendationsinto an easy to follow guide which academic advisors may use to advise military students andveterans. The difficulty in generating a standard articulation lies in the extensive variety oftraining the military provides and an equally varied set of regionally accredited universityacademic programs. The amount of credit service members
the course instructor, eachaddressing a specific detail in using a single concept such as loops (Fig.1). For each program, thestudents were given a few minutes to write down their responses, with the course instructor andteaching assistants walking around the class and helping those who were struggling with theproblem. Figure 1. Example of a "programming without computer" problem. Students were required to write down the output of this program as an in-class exercise in less than 5 minutes.The same approach was also incorporated in short quizzes in the beginning of each session. Foreach quiz, a free game-based online learning platform (http://kahoot.com) was used to displaythree multiple-choice questions on the screen for all students
Reviews (EOCR’s) held at the end of both Fall2020 and Spring 2021 semesters, faculty reflected upon the impacts and challenges (both presentand future) that remote learning had presented (or would soon create) for our students. In onediscussion in Spring 2021 we noted that Fall 2021 labs in EE would likely be “in-person” andwould require our new junior-level students to have a good working knowledge of laboratory testequipment (e.g. oscilloscopes, function generators, breadboards, digital volt-ohmmeters), beproficient in troubleshooting, and even require students to learn to use relatively unfamiliarequipment (Agilent 35670 Dynamic Signal Analyzers). At that point we considered that earlyassessment of Outcome 6 Performance Indicator #1 (develop
. His research includes undergraduate engineering education with focus on engineering design, problem-based learning, co-curricular involvement and its impact on professional formation, and the role of reflection practices in supporting engineering undergraduates as they transition from student to professional. ©American Society for Engineering Education, 2023 Using the CAP model to Equitably Redesign a First-Year Engineering SeminarIntroductionThe student body in higher education keeps changing, making it critical to pay attention to newgenerations' challenges toward achieving their academic goals [1]. Generation Z students are the core ofthe current student population at colleges and
repair” that, once it was made, restored your power delivery? 5. What equipment in your area presented the greatest challenge to repair and restore? 6. Of the electric infrastructure damage caused by the hurricane, what was primarily due to a. high winds? b. flooding? 7. To what extent did solar panels withstand the hurricane a. when they were located on the ground as “utility scale”? b. when they were located on roofs? 8. To what extent did wind turbines withstand the hurricane?Changes to infrastructure that could avoid, mitigate, and/or speed restoration time: 1. What kinds of changes to generation, delivery and end-use of electric energy do you suggest as beneficial to avoid
Transportation Company, SystemsControl, and M.J. Electric) has donated a 2500-kVA, three-phase, General Electric, 32.8-kV –2,400-V, grounded wye to delta, type OA-T transformer; a 333-kVA, single-phase, McGraw-Ed-ison, 34.4kV – 277-V, type OA transformer; five voltage regulators, and several current and po-tential transformers. With test equipment obtained from a grant from the Department of Energy(DoE) and other equipment donated by local industry, the students perform insulation resistance,transformer turns ratio, oil breakdown, and power factor (or dissipation factor) testing on thesetransformers. These tests are in addition to the standard laboratory tests on small transformers:1) determining the polarity and turns-ratio, 2) finding equivalent
, Advising, Facilities, and Support Staff. Most of these CI componentswere identified using ABET’s criteria. Curriculum, Faculty, and Facilities directly correspond tothe ABET criteria with the same name. Courses correspond to ABET’s Student Outcomes.Administration and Support Staff (such as lab technicians and teaching assistants of a computingprogram) correspond to ABET’s Institutional Support. Research and Advising are not mentionedin ABET’s criteria but are addressed in the literature.In addition to the list of eight 360-CI components, we identify three more critical areas toconsider in a 360-CI comprehensive plan: 1) the coverage of the 360-CI components, 2) theintegration of those components, 3) the data used and generated by the components
and environmental issues whendeveloping innovative solutions for the people affected by their projects.One problem found that limits students’ exposure to social justice is the decontextualization ofproblems within the engineering curriculum [1], [15], [16], [2]. While straightforward problemsare helpful in allowing students to focus on concepts and principles, they do ignore the relevantsocial information affecting the situation that could inform a more comprehensive solution.Furthermore, this can suggest that engineering is a purely technical field and results inoversimplified engineering problems rather than focusing on the sociotechnical nature of issuesstudents will come to face, wherein the social and technical dimensions of engineering
classify-ing the fine-grained interactions logged by the tracing tool, analysis of the think-aloud pro-tocols, and exit interviews to elicit participants’ opinions and experiences. Note that we em-ploy the commercial Camtasia screen capturing tool to record the step-by-step operations andthe think-aloud verbalizations of the participants. A researcher spends about 63 hours in totalto keenly watch and encode all the recorded sessions. A second researcher is involved onlywhen clarifications are needed.3.2 Instrumentation and Study SetupWe developed an automated tracing tool and used it in our study. A screenshot is shown inFigure 1 where the analyst’s name and the actual tracing time are not released in order to pro-tect anonymity. We call the tool