EE 301 and CIV 201), thereis generally a step function increase in section enrollment when the number of sections isreduced. While the result is more dramatic for CIV 201 (Statics) and EE 301 (Electrical CircuitsI) as these large enrollment courses declined from 2 sections to 1 section, the impact on studentsmay be greater in a smaller class such as ME 438 (Mechanical Engineering Experimentation)which dropped from 4 sections a semester in the early part of the decade to 2 sections a semesterin the later part. The student experience in a hands-on laboratory course is likely to be impactedmore by larger class sizes than lecture courses.Overall, from Figures 9 and 10 we can get a sense of what impact budget cuts in the second halfof the decade
suggestions made by the students of one peer with whom they are compatible.The goal of this process is to ensure that all voices within the group are heard and to minimizethe impact of a potentially dominant group member.The first semester focuses on the first steps of the design process: developing a problemstatement, researching the problem, generating design ideas, evaluating and selecting a design,and detailing a design solution with a supporting engineering analysis using foundationalknowledge learned in prior courses and independently as needed (Figure 1). The final outcomefor the first semester is a design package, which will allow for the system to be built to print inthe second semester. The second semester focuses on enhancing the design
, industrial engineering, and agricultural/biological engineering.Although the original plan was to host the Academy in-person on campus, due to COVID-19, allmeetings for the Academy were held remotely over zoom. An overview of the Academy scheduleis presented in Table 1. Table 1: Overview of the EMIT Academy Academy Element Timing Activities Assessment: Pre- January Interview about prior knowledge and expectations of Academy Interview Academy Pre-work for Participants May Complete Entrepreneurial Teaching Model Session #1 (2 hours) June Ice breaker: Two truths and a lie
cyber threats, andinfrastructure disasters. There is a calling from articles, reports, and an accreditations [1]–[8] thatthere is a need for public policy to be integrated in science, technology, engineering, andmathematics (STEM) education as students need to master the technical competencies, but bemindful that one’s work could provide benefits and harm. More importantly, students of STEMfields, who one day will become the next generation of scientists, technologists, engineers, andmathematicians are important actors in the area of policy as they will fill the holes of STEMexpertise that policymakers lack, assist in the development of policy, and advocate variouscauses [9], [10].In Fall 2019, Chaminade University of Honolulu will be launching
%, and 75% overlap [26]. Fig. 2. Detector working on a video with artificial fog added and on the original video [26].● Team 2: Their final model detected sharks with 90 - 98% accuracy, and surfers with higher than 80%. The training was conducted over multiple sessions due to computational resource limitations; as a consequence, mean average precision data are available only for the test set. Their results are in the same range as Team 1. Data Set # Images Classes mAP25 mAP50 mAP75 Test 368 sharks, surfers, boats, person 0.89 0.64 0.070 Table 2: Mean Average Precision, based on the overlapping areas of the actual bounding box and
feature may have been used where more bricks were used for the outerlayer and less rubble for the inner core at every other section of the base (see Figure 1 for thesection view of the wall). Evidence of the key-in feature was found in eastern Jinshanlingwhere pure rammed earth was used for the inner core.Figure 1: Section view of the wallModeling of the Studied Towers and the WallFor the authors’ earlier research (J. Yang, A. Tan, F. Tan, Parke, & F. Yang, 2016; Yang,Hadipriono Tan, & Tan, 2017), the modeling of the wall and towers was created usingSOLIDWORKS, shown in Figures 2, 3 and 4. SOLIDWORKS modeling can show theconstruction sequence using static images and animation (Figure 4). The animation wascreated using the hide/show
Governance has its roots in the German Universities. Lehrfreiheit, “freedom toteach”, belonged to professors, gave professors autonomy in the classroom, and banned externalcontrols on their research. The first generation of American scholars received their professionaltraining in Germany. They adopted this model when they established the modern researchuniversity in the U.S. at the end of the nineteenth century. There was however one distinctdifference between the universities of Germany and America. German universities wereessentially self-governing while their American counterparts were governed by nineteenth-centuryversions of boards of trustees1.The Shared Faculty Governance model is implemented in a variety of different ways by
solutions that exist at the intersection of science, technology, engineering, and mathematics(STEM). Given the importance of STEM-informed solutions, there is a need to prepare a STEM-literatecitizenry capable of making informed decisions related to food, energy, and water in a world of rapidtechnological advancement.To address the need for STEM-literate learners, A Framework for K-12 Science Education: Practices,Crosscutting Concepts, and Core Ideas [1] has outlined key science and engineering competencies that allstudents should attain by the end of 12th grade. The Next Generation Science Standards (NGSS) weredeveloped based on the Framework and unlike the prior National Science Education Standards [2],engineering design has been elevated “to the
Corresponding Ability categoryLearning outcome items ABET criteria[2] in the course10. An ability to acquire and apply new knowledge as needed, using Lifelong learningappropriate learning strategies.These ten learning outcomes are categorized into five domains of skills: problem-solvingskills, practical operational skills, technical communication skills, the methodology ofscientific research, and lifelong learning. This course particularly focused on developingstudents’ problem-solving, practical operation, and technical communication skills (shaded inpink in Table 1).Second, a comprehensive
, prioritizing, and documenting the feature requests, the team reviewed theirrequests through the lenses of the three theoretical frameworks discussed earlier in this paper:Contextualized Framework, CoI, and UDL. This was to ensure that each of the requestedfeatures was necessary to support evidence-based teaching and learning in an online professionaldevelopment environment. Table 1 illustrates which frameworks connect most directly to each ofthe general sets of features the team requested. Unsurprisingly, the team found that the first-tierpriority requests, or those most elemental to an LMS, connected most strongly to the CoI andUDL frameworks as they are both very much concerned with the design and curriculum aspectsof a learning experience. It
and add value in the service and knowledge industries [1]. The contribution thatengineering science professionals are able to make in leading these processes is essential.Newly qualified engineers are expected to be able to apply knowledge in order to benefit thequality of life and well-being of communities, bearing a powerful impact on the developmentof the country, generating interactions with the environment or industry from amultidisciplinary perspective and producing new proposals. Within this context, and in risingup to these challenges, a comprehensive training of new professionals is essential and it is thetask of current engineers as well as engineering schools to incorporate this new scenario inthe training of new professionals. In
,performance, time management, commitment level, etc. Additionally, faculty who encouragethese practices in their courses may see better student engagement and knowledge retention.Unfortunately, these skills rarely come naturally to students, and many do not get the chance todevelop them before pursuing their undergraduate degree. Engineering courses should not onlyhelp students learn technical content but should also help them develop the skills of goal setting,expectation development, reflection, and self-assessment. This paper aims to address thefollowing two research questions: 1) What are the effects of self-efficacy, goal setting, andreflection on undergraduate engineering students? 2) What would a practical model forimplementing these
thinking, reflection, and identity development [3].Pedagogical methods underpinning the broadening of engineering education generally involvedeveloping the reflective practitioner, as exemplified in the work of Donald Schön [4]. Schönproposed that reflective practice should accompany the traditional engineering curriculuminvolving technical expertise. Expanding on that idea, Bolton and Delderfield [5] asserted thatprofessionals are responsible for not only their own actions and values, but also for the broadercontexts involving the political, social, and cultural situations within which they live, learn, andwork. The development of a reflective practitioner involves developing self-awareness andextracting meaning from experiences for personal and
Traditional Blended Face-to-Face Distance Online OnlineGiven these four types of students, three major research questions were generated: (1) Is there adifference in students’ learning outcomes across student types? (2) Is there a difference in students’engagement across these student types? (3) Do the results vary between students of differentcourses? To answer these questions, the present study analyzed data obtained from 390undergraduate students who attended an undergraduate EM course at the University of Colorado-Boulder, as one of the aforementioned types of students. The results obtained from this analysiswill also allow us
requirements’ list for the project. The instructortypically shows a case study project example explaining Step 1 tasks, generally in an in-classworkshop, so that each team can take the following actions:1. Break down the project description, recognize and highlight key words and form a list of high-level requirements.2. Share the list with other teams for peer review to refine the list.3. Prepare a list of questions to obtain the instructor/s’ and sponsor’s assistance.The high-level requirement list after this step generally captures key system behavioral featuresand main system functions. Table 2 (page 8) shows the input and output of Step 1 for a casestudy exercise conducted in class.Objectives achieved during this step: 1. Team gets an easy
material response under electric field and permeability is the material responseunder magnetic field. Under the influence of external electric field, there occurs a polarization ofelectric charges in atomic level which give rise to permittivity. Under the influence of externalmagnetic field, there occurs a polarization of magnetic dipoles moments (in magnetic material)in atomic level which give rise to permeability. When tiny particles of particular shape, made ofmetal or dielectric material, are arranged in a regular fashion, is called artificial material. Infigure 1, an artificial material, composed of metallic wires or circular metal patches or metalspheres, is shown.Figure 1. Artificial material composed of (a) 1-D metal wires, (b) 2-D
) and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. K. Flatt, “A suffering generation: Six factors contributing to the mental health crisis inNorth American higher education.,” Coll. Q., vol. 16, no. 1, pp. 1–17, 2013, [Online]. Available:https://files.eric.ed.gov/fulltext/EJ1016492.pdf.[2] S. K. Lipson et al., “Trends in college student mental health and help-seeking byrace/ethnicity: Findings from the national healthy minds study, 2013–2021,” J. Affect. Disord.,vol. 306, pp. 138–147, 2022, doi: 10.1016/j.jad.2022.03.038.[3] G. Boyraz, R. Granda, C. N. Baker, L. L. Tidwell, and J. B. Waits, “Posttraumatic stress,effort regulation, and academic outcomes among college students: A longitudinal
perpetuate.Professional engineers have begun to recognize and advocate for the need to address socialjustice and community impacts in engineering in new infrastructure projects. As professionals,engineers will be expected to manage both technical and social dimensions of projects [9].Working on projects that generally directly impact the public, civil and environmental engineersare in a unique position to impact communities. Recently, intersections of social justice andengineering have become a talking point in engineering communities. ASCE ran a series ofarticles focusing on issues of Equity and Infrastructure, discussing opportunities for engineers toimpact equity and describing equity initiatives in engineering [10]. One article notes howimportant it is to
LMS features were never used, those that were usedwere found to be used most often during the disruption and the following spring. The yearsfollowing showed a mix of sustained and discontinued LMS feature use. The intention of thisstudy was to inform mechanical engineering instructors decision-making relative to LMS featureuse generally and during disruptions.I. IntroductionDisruptions to educational systems affect the work of university instructors, often promptingsocial distancing, remote learning, web conferencing, etc. These disruptions affect howinstructors deliver their courses and interact with their students. Epidemics, such as H1N1 (2009)and COVID-19 (2020), depict such educational disruption events. Natural disasters and
importance of socialmedia in engineering education, highlighting its potential as a versatile tool for enhancing teachingand learning processes. The insights obtained lay the groundwork for further exploration anddevelopment in this rapidly evolving field.ReferencesThe articles included in the final review stage are marked with an asterisk (*). [1] M. Kaplan and M. Haenlein, “Users of the world, unite! The challenges and opportunities of Social Media,” Business Horizons, vol. 53, no. 1, pp. 59–68, Jan. 2010, doi: 10.1016/j.bushor.2009.09.003. [2] J. Qadir, “Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education,” in 2023 IEEE Global Engineering Education Conference
related to electricity using PhET simulations?MethodologyThis research uses quantitative methodology. Students participated in assessments using aninventory focused on electrical concepts, and a survey was conducted to assess perceptions ofusing PhET interactive simulations as a teaching resource.Context and participantsThis study was conducted in a one-semester general physics course at the university level in aprivate university in Chile. The main topics covered in the course are kinematics,thermodynamics, electric circuits, and waves. Lecture time is in-presence modality (3 hours perweek), and the workshop is offered online (1.5 hours per week). Workshops are not mandatory;thus, the sessions are recorded. However, students must attend or
about a newconcept. In creating a mental model through the application hierarchical level, participants wouldassess similarities and differences between concepts, test ideas, and conduct further research asneeded. Within the analysis hierarchical level, participants would use mental models by breakingdown information into (1) what was given or what was known (2) additional information wasneeded and (3) steps needed to solve the problem. If participants used the synthesis hierarchicallevel to build a mental model, information would be connected to old mental models to create alarger mental model or wider understanding of a topic. Finally, when asked about use of mentalmodels within the evaluation hierarchical level, four participants had a clear
Huntsville, Texas. Dr. Pecen was formerly a professor and program chairs of Electrical Engineering Technology and Graduate (MS and Doctoral) Programs in the Depart- ment of Technology at the University of Northern Iowa (UNI). Dr. Pecen served as 2nd President and Professor at North American University in Houston, TX from July 2012 through December 2016. He also served as a Chair of Energy Conservation and Conversion Division at American Society of Engineering Education (ASEE). Dr. Pecen holds a B.S in EE and an M.S. in Controls and Computer Engineering from the Istanbul Technical University, an M.S. in EE from the University of Colorado at Boulder, and a Ph.D. in Electrical Engineering from the University of Wyoming (UW
engineers.Figure 1: INCOSE Certification Path and RequirementsFigure 2: Academic Equivalency administrative requirementFigure 3: Academic Equivalency technical requirementWhy certifications matterProfessional certifications are a way to confirm and communicate an individual’s abilities andinterests. Holding a certification means both that an individual can pass an assessment (usually atest) and that they cared enough to attempt it. Professional assessment is so commonly used thatthe Association of Test Publishers (ATP) and Institute for Credentialing Excellence (ICE) holdmultiple, international conferences and meetings annually to bring together certification programmanagers from the fields of accounting, dentistry, personal training, and water treatment
eithercircumstance, the lesson plans will receive a preliminary utilization within the target market ofstudents and be improved through one round of revision before wider publication, dissemination,and general release.References[1] J. Mader, "Report: STEM education lacking in rural areas," Education Week, 10 October 2014.[2] AgAmerica Lending, LLC, "Farm Labor Shortage," 2023. [Online]. Available: https://agamerica.com/wp-content/uploads/2019/12/farm_labor_shortage_digest.pdf. [Last Accessed 24 January 2023].[3] United States Department of Agriculture (USDA), "Historical Highlights: 2017 and Earlier Census Years," 2017. [Online]. Available: https://www.nass.usda.gov/Publications/AgCensus/2017/Full_Report/Volume_1,_Chapter_
connections are en-crypted with an Advanced Encryption Standard (AES) symmetric key derived per-session viaElliptic Curve Integrated Encryption Scheme (ECIES), which means that even if the Wiresharkdissector had access to the private key of the local node, it would not be enough to decrypt themessages exchanged. In the RLPx Discovery protocol, we were able to find the following: (1) thePING, PONG, FIND NODE and NODES packet, breaking the messages into its elements, withthe appropriate data types, (2) the linking of PING => PONG frames, as well as FIND NODE =>NODES interactions in protocol trees and (3) service response time calculation for Remote Proce-dure Protocol (RPC) interactions, finding out how long your peers are taking to respond.In
Texas A&M University in College Station. A native of Columbus, Ohio, she attended North Carolina A&T State University where she received a B.S. in Bio Environmental Engineering in 2006. She then began pursuing her graduate education at Purdue University in the Agricultural and Biological Engineering Department, completing her Ph.D. in 2015. Her primary research areas include 1) mycotoxin risk assessment and treatment in stored grains and 2) innovate instructional strategies for Biological and Agricultural Engineering students. American c Society for Engineering Education, 2020The role of the co-curricular spaces in engagement and success ofminority
students generally tend to communicate what they think theinstructor expects of them, rather than their confusions and doubts. To overcome this facade, webelieve that students need to be more invested in their learning environment. Inquiry-basedlearning with elements of reflective activities in a “safe and brave” environment is one suchplatform where students can communicate their progress and learning and contribute to theclassroom learning environment. The instructor needs to make sure students have avenues, to behonest, share their ideas, critiques, and challenges with the instruction team. It is an approach thatmakes learning current for both the instructor and students. In this work, we discuss the similaritiesand differences between how
deficits inSTEM general education knowledge for students pursuing engineering degrees. To refreshprerequisite knowledge and prepare students to succeed in Calculus and beyond, MAVENfocused on precalculus topics. Knowledge from subject matter experts and current tutors wascombined to identify three main areas of weakness. These areas were functions and graphing,trigonometric functions, and exponential and logarithmic functions. A series of games weredesigned that required players to engage with content, play through games that required them topractice their mathematical skills, and be assessed at set intervals. Two example screenshotsfrom MAVEN are included in Figure 1.Current Work: Overview of CAPTIVATECAPTIVATE is the next game in the series and
Course María Raquel Landa Cavazos Yolanda Martínez Treviño Computer Science Department Computer Science Department Tecnologico de Monterrey, Tecnologico de Monterrey, Campus Monterrey. Campus Monterrey. Monterrey, México Monterrey, México rlanda@tec.mx yolanda.mar.tre@tec.mxAbstractThis paper presents the results of integrating the use of an auto-grader tool in a ComputerScience 1 course to personalize the learning process of students by allowing them to advance attheir own pace when solving problems in class sessions