also was the first instance of the workshop; we expect the next ones to improve this. We really want to foster collaboration among the participants, and will offer more opportunities to do so. 8 0 to 4 2.4 9 0 to 4 3.29 Most participants are likely to attend a similar workshop. Figure 5: Post-Survey Results regarding the change in knowledge in Artificial Intelligence and Machine Learning (-2 Much more confused than before, -1 Slightly more confused than before, 0 About the same, +1 Gained some knowledge and experience, +2 Learned a lotAs can be seen in Figures 5 and 6, in general, the answers
another at the end of chapter 4. Chapters 1 and 2 took students 80 minutes onaverage to complete, and chapters 3 and 4 took 88 minutes, for a total of 168 minutes tocomplete all four chapters. The surveys included agreeability questions that ranged from stronglyagree (+3) to strongly disagree (-3), shown in Table 1. Students slightly agreed that theflowcharts and code were easy to understand. Students were more neutral about whether the codewas easy to write. The students generally liked programming, not surprising as that is most oftheir chosen major. Students reported a minor amount of frustration with issues with theprogramming language. In fact, we had accidentally included a homework on a language conceptthat were not included in the
presents four graphs, one for each of the indicators of conceptual understanding versusthe quantitative test. Note that all the instruments were normalized to 100. Each dot correspondsto a specific student with the conceptual grade on the horizontal axis and the quantitative gradeon the vertical axis.All of the graphs in Figure 1 have the same general feature: most students show a greaterconceptual understanding than problem-solving ability. Moreover, Figure 1 shows similar resultsto those obtained by the students in the year prior who did not do the RCSA [4]. Fig. 1. RC circuit test-quantitative part vs four conceptual understanding measures. a) Second midterm excepting the RC circuitproblem. b) The RC circuit problem in the second midterm. c) 12
discussed the changes that would make them feel more welcome and includedwithin academia and their department(s) (cultural and/or infrastructural changes). They alsoprovided advice and recommendations to future queer and trans graduate students. The panelreceived overwhelmingly positive feedback, and the audience expressed their willingness andenthusiasm to learn and support queer and trans graduate students. Overall, the lessons learnedfrom the Queer and Trans Graduate Students Panel are as follows: 1) Provided an opportunity to inform about the specific obstacles that many queer and trans students experience in graduate education. 2) Contributed to the knowledge of designing, facilitating, and conducting a student experiences
in Figure 1.Course Structure and ScheduleThe week-by-week course schedule is presented in Table 1. The course met twice a week on Wednesdaysand Fridays for 2-hour sessions (from 10:00 a.m. to 12:00 noon). There were 22 students enrolled in theclass including faculty members from several engineering disciplines, including mechanical engineering,electrical engineering, food engineering, ocean and coastal engineering, and economics as well asresearchers from the Sustainability research center at ESPOL. A few undergraduate engineering students,primarily mechanical engineering and ocean and coastal engineering students, also enrolled in thecourse. The gender breakdown was about 40% women/60% men.The course began with an introduc�on to sustainable
ℎ𝑝𝑝is the pump head. Applying Bernoulli’s equation between point A and point B in Figure 1: 3 𝑝𝑝1 𝑉𝑉12 𝑝𝑝2 𝑉𝑉22 (3) + + 𝑧𝑧1 + ℎ𝑝𝑝 = + + 𝑧𝑧2 𝛾𝛾 2𝑔𝑔 𝛾𝛾 2𝑔𝑔Since A and B are at the same reference height, this expression simplifies to pB − p A V22 − V12 (4) hp = + γ 2gwhere, in general, the entrance velocity V1 and the exit
knowledge by applying Kolb’sExperiential Learning Theory. This method simultaneously gathered information on the elementsthat helped and hindered global skills development. The accompanying questions weredeveloped with these goals in mind.1) Which experiences and structured programming elements of the Como, Italy Cross-CulturalEngagement and Technical Presentation study abroad program did student participants mostclosely align with Kolb’s Experiential Learning Theory in developing their global competencies?2) What helping factors enabled participants to progress through Kolb’s Experiential LearningTheory in developing their global competencies?3) What were the hindering factors that discouraged participants from progressing throughKolb’s
teams. The student’s project is to design and builda robot to meet the educational needs of 5th-grade STEM students. Students first work individuallyto understand and develop unique technical skills in engineering data analysis, hardware,programming, circuitry, and 3D printing concepts before being paired in groups [22]. Writingassignments are also embedded throughout the course. The concept generation phase requires eachengineering student to communicate (both in written form and orally) their proposed ideas andrationale behind the team candidate design selection to the class and the university community.The written communication assignments utilize a “process writing” technique [4, 23-25] wherebytwo submissions of the same assignment are
Paper ID #37449Active Duty and Veteran Pathways to Engineering Higher EducationDr. Robert J. Rabb, P.E., Pennsylvania State UniversityDr. Alyson Grace Eggleston, Pennsylvania State University Alyson Eggleston is an Associate Professor in the Penn State Hershey College of Medicine and Director of Evaluation for the Penn State Clinical and Translational Science Institute. Her research and teaching background focuses on program assessment, STEM technical communication, industry-informed curric- ula, and educational outcomes veteran and active duty students.Dr. Ronald W. Welch, The Citadel Ron Welch (P.E.) received his B.S
activities. In this paper, we describe the structure of these programs and associatedmetrics. Early results indicate very high interest by students and employers, high retention ratesin cybersecurity careers, and gains in participation by underrepresented groups. 1. IntroductionThe cybersecurity workforce gap is large, with an estimated 1.1 million employed workers and770 thousand job openings across the country. From the employers’ perspective, the curriculumin some cybersecurity degrees should be more closely aligned with requirements of the jobmarket, enabling new employees to be productive from day one. Meanwhile, new graduatessometimes express frustration with the expectations of job descriptions for entry-level positions,which often include
andEngineering Education” published in the United States in the 1990s[1], STEMeducation has been formally proposed and gradually known to the public as anemerging mode of training innovative talents. As a new wave of the S&T revolutioncharacterized by digitalization, intelligence, and green innovation surges, STEMeducation plays an increasingly important role in the supply of innovative talents.STEM education focuses on real issues, adopts interdisciplinary content arrangement,and emphasizes improving students’ ability to apply multidisciplinary knowledge andstimulating creative thinking. Since STEM education is in line with the practicalneeds of societal development for talent training, it has soon attracted the attention ofgovernments worldwide
courses and thefield of statistics as a whole [20]. The ATS was modified by Schau, et al. in 1995 to create theSurvey of Attitudes Towards Statistics (SATS) which broadened the assessment to cover four orsix factors (depending on the version), instead of the original two [21],[17]. Tempelaar et al.found that the six-factor version was preferable over the four-factor [22]. This questionnaire waspreferable over other similar surveys because it assessed only student opinion without askingstudents to solve course specific problems, which would be a poor indicator of attitude or abilityat the beginning of a course. The full Likert survey can be found in the appendix, but it coverssix general attitudes regarding the course: 1. Affect – students
student UG Students: 0 Staff: 06 TECS Assoc. Post-Docs: 1 Weekly 60 min Professor G Students: 4 UG Students: 2 Staff: 0*Meeting frequency of entire research group**Staff includes research professors, visiting scientists, and technical staff.Although this was a new setting for us, we found that in some ways, the types of needs we wereable to support were very similar to the types of questions and requests that often come throughour normal reference channels, such as literature searching and document delivery
concepts and principles in a fun and exciting way. Once a modelrocket leaves the launcher, it is a free body in air. Model rockets have been used as student projectsfor decades. Many publications [1, 2, 4, 7, 13, 15, 18, 20, 21, 23, 24, and 25] report engineeringprojects in the same general area. Mathematical and physical aspects of model rocketry arereported in references 3, 6, 14, 16, 19, and 31. This paper describes a successfull implementationof PBL in an introduction class using the conversion of chemical energy into propulsion as itsfocus instead of the flight based focus found in earlier publications. Hence, this paper is the firstits kind in model rocket literature. The practical experience described in this paper is
class, fall 2016 and2017. The same questionnaire was given in 2017 as well, since the expectation was to see thedata consistency from year to year. During both years, the statistical sample size (class size) wasnearly equal due to the consistent (but small) classroom size at our host institution.This perception survey has four sections. Section 1 was designed to measure the learningoutcomes of the student with a rating of nine statements from 1 (low) to 5 (High). In section 2,ten questions were generated in five points scale to understand about the current teachingmethodology from students’ point of view. Namely, whether students agree with the model ordisagree with that approach. Section 3 was designed with ten “YES” or “NO” type questions
the skills they have learned. The module takes a flipped classroom/activelearning approach by using short videos to educate students, activities to practice the skillstaught, and incorporates real-world examples such as hydraulic fracturing, drones, and 3Dprinting.The public policy analysis for engineers module was initially a worksheet developed to helpwalk engineering students through the eight steps of University of California-Berkeley ProfessorEmeritus Eugene Bardach’s “A Practical Guide for Policy Analysis: The Eightfold Path to MoreEffective Problem Solving.”1 First published in 2000, and now in its 5th edition, “A PracticalGuide” is a short, easy-to-read and understand guide based on the work of well-known publicpolicy intellectual
educators will be “restricted” professionals [1]. Some countries however, such as the UK and Sweden, dorequire intending university faculty to have training in teaching and learning. It can be argued that such training servesas the teaching equivalent of the PE; the PEE, as it were.All of this implies a second characteristic of a profession, that is, that it possesses a codified body of knowledge andexpertise. A third characteristic of a profession is that it has agreed standards of behavior, and a set of ethical standardsthat members abide by or face sanctions for violating.This paper argues that, certifications or degrees aside, university teaching should be a professional activity and effectivetraining should be required. If engineering
Paper ID #20358Analysis of reasoning paths of engineering studentsProf. Genaro Zavala, Tecnologico de Monterrey, Monterrey, Mexico & Universidad Andres Bello, Santiago,Chile Genaro Zavala is Full Professor of Physics and Director of Educational Innovation in the School of Engi- neering and Sciences at Tecnologico de Monterrey. Also, he is currently collaborating with the School of Engineering of the University Andres Bello at Santiago, Chile. Professor Zavala is National Researcher Level 1 of the National System of Researchers of Mexico and leads the Physics Education Research and Innovation Group. He works with the
at https://securityintellicence.com, 2018.Annex 1: Mapping of Undergraduate Curriculum to Advisory Council RecommendationsAnnex 2: Mapping of Courses to ABET General and Program CriteriaAnnex 3: Mapping of Courses to CAE Cyber Defense Education Program Knowledge Units
3,000 has a 1:1,000 comments-to-views ratio, suggestingthat these comments are mostly from authentic YouTube users and not spam bots. Also, YouTubespam controls have improved in recent years [23].We analyzed the video’s comments beginning with an app-generated “topics” list provided by theYouTube mobile app that grouped the video comments into popular recurring themes andquestions. The app suggested the following themes: “Sailors don gas masks”, “USS Missouri:history, legend and tourist attraction”, “Navy: kids, fat, and Bubbles”, “Incredible footage”,“Commenters remark on how young the actors look”, “Admiration for the ship”, “Green shirtsmeaning?”, “Navy guys drinking beer on duty”, and “Why are they wearing green?”Working with these app
CAT, thesystem generates a final estimate of the examinee's ability. In line with the objective of CD-CATto ascertain students’ skill mastery, post-CAT responses are analyzed through the CDM DINAmodel to evaluate mastery and non-mastery statuses. To illustrate the operational efficacy andmechanics of the CD-CAT system, Figure 1 illustrates the proficiency estimation over the first 18questions of a theoretical student taking the MCD. Figure 2 shows the CD-CAT process in LASSO.Figure 3. Example of a potential student report from the MCD.9Discussion The deployment of the MCD using a CD-CAT framework and delivered on the LASSOplatform marks a significant evolution in educational assessments. CAT's ability to adjust questiondifficulty in
, renewable energy, and the energy-water nexus.Yun-Han Weng, The Ohio State UniversityEmily T. Creamer, The Ohio State UniversityMatthew Judkins Mayhew, The Ohio State University ©American Society for Engineering Education, 2024 EmPOWERing a Sustainable Energy Future through Interconnected Curricular and Co-Curricular Pedagogies AbstractIn 2019, a National Research Traineeship (NRT) grant from the U.S. NationalScience Foundation seeded the establishment of a new model for graduateeducation at Ohio State University – a large, public, land-grant R-1 university inthe U.S. Midwest. This grant application involved faculty from eight differentcolleges within this university
of professional skills in burgeoningengineers [1], [2]. Thus, there is a demand for student development processes and experiencesthat facilitate the acquisition of both technical and professional skills. For this project,professional skills, often referred to as “soft skills,” include a variety of competencies such ascommunication, teamwork, professional and ethical responsibility, and more as determined byABET and delineated in the results of this paper. Unlike technical skills, professional skills takemore time to develop and sharpen [3]. Additionally, they are not as amenable to course-basedlearning often due to their “untestable” nature. Whereas a chemistry class might be able to teachtechnical skills and then assess the outcomes by way
) 3 = Details - boilerplate and personalized (BP/PL) 4 = General Link to info (Link) Personal_On_ Personal supports for students 0 = None CampusSupport (e.g., mental health center, student 1 = Details – boilerplate (BP) services for disabilities, recreation 2 = Details – personalized (PL) facilities, etc.) COVID policies 3 = Details - boilerplate and only count if they provide personalized (BP/PL) information about finding
training toolrelative to other methods, at the conclusion of their global health design program, participantsreflected on their perceptions of the overall effectiveness of the VR training provided in this study inpreparing them for real-world design observations. Participants discussed 1) generally favorableimpressions of the value of VR-based design observation training, 2) a unique benefit of VR-basedtraining over other formats, and 3) issues related to a learning curve in using the VR system, as well astechnical limitations.Overall, participants described their VR training as “the next best thing” (Participant 2) to real-worldpractice for students who have little or no real-world design observation experience. Participant 4reported that
-Learning Classrooms,” J. Chem. Educ., vol. 95, no. 12, pp. 2126– 2133, Dec. 2018, doi: 10.1021/acs.jchemed.8b00167.[6] J. Smith, “Learning-focused TA Training on a Budget,” in Proceedings of the Western Canadian Conference on Computing Education, Calgary AB Canada: ACM, May 2019, pp. 1–2. doi: 10.1145/3314994.3325091.[7] M. Ball, J. Hsia, H. Pon-Barry, A. DeOrio, and A. Blank, “Teaching TAs To Teach: Strategies for TA Training,” in Proceedings of the 51st ACM Technical Symposium on Computer Science Education, Portland OR USA: ACM, Feb. 2020, pp. 477–478. doi: 10.1145/3328778.3366987.[8] M. Gallego and C. Busch, “Preparing Teaching Assistants to Work With All Learners: The Impact of Accessibility Training,” Foreign Lang. Ann
American Society for Engineering Education, 2019 Tensions in Applying a Design Thinking Approach to Address Barriers to Increasing Diversity and Inclusion in a Large, Legacy Engineering ProgramIntroductionWe are focusing on three interconnected issues that negatively impact engineering disciplinarycultures: (1) diversity and inclusion issues that continue to plague engineering programs; (2) lackof adequate preparation for professional practices; (3) and exclusionary engineering disciplinarycultures that privilege technical knowledge over other forms of knowledge [1]. Although mucheffort has been devoted to these issues, traditional strategic and problem-solving orientationshave not resulted in deep
School Officers, 2010), Standards for K-12 EngineeringEducation (NRC, 2010), and the MechAnimations Curriculum (Bolger, Kobiela, & Lehrer,2013). Each class session was videotaped and rendered for further analysis. MechAnimations curriculum. The motion of systems of levers relies upon the rotarypaths of individual levers around fixed and floating pivots (Figure 1). Bolger, Kobiela,Weinberg, and Lehrer (2012) as well as Weinberg (2017a; 2017b; 2019) showed that theunderstanding of these systems of levers is not trivial, children and adults had difficulty seeingand reasoning about the relationships between the fixed-ness of pivots and the rotary paths oflevers. In the curriculum, these concepts were taught through the Rope Walk, a
deflection of the member and therefore failure. Thisstructural failure is known as buckling and might happen even if the compressive strength of thematerial is larger than applied compressive force. Euler in 1757 developed a mathematical modelfor maximum buckling capacity of a member. He presented the maximum load that a membercan carry before failure due to buckling as a function of the length, moment of inertia of thecross section, modulus of elasticity of material and the fixity conditions of the member. Mostly,civil engineering students learn about the theory of buckling in the spring of their sophomoreyear in a Statics II course. Static II is combined with a two-hour weekly laboratory session. Inthis laboratory course different modes of failure
outsideenvironment as exhaust. This represents a considerable resource that could be utilized for otheroutcomes. As a first step toward tapping that potential, a mobile laboratory testbed wasdeveloped to simulate industrial exhaust at levels appropriate for prototype development andstudent engagement. Capable of variable temperatures up to 1800°F, incorporating an insulatedexhaust chimney, and outfitted with thermocouples, this testbed provides a flexible resource notonly for the targeted research at hand, but the WKU thermofluid laboratories. Details of thetestbed will be provided, as well as operational data and initial observations on the nature of theresulting flow.1.0 IntroductionEngineering students encounter a number of sophisticated technical