the semester. The next two sections are thethoughts of the two professors after reading each others’ commentary and the third partyanalysis. Finally, a set of actions that have already been taken or that are planned as aresult of being experiencing “both sides of the equation,” are listed.[1] The Learner’s ExperienceOur professor came to class today with a giant packet of exams. By now, he knows allour names, having practiced daily with index cards we created on the first day, with ourname and favorite movie. I admit I am a little nervous about getting my exam back. Ibelieve I did okay; I think it’s possible that I did very well. I was able to answer all thequestions, but I have a superstition about this – when I think I’ve done well on an
items (OT)grading (ST)I am confident that I can identify strategies for dealing I am confident that I can explain when, how, andwith grading issues (ST) why we give tests (OT)I am confident that I can describe strategies for I am confident that I can develop a lesson plan for acreating an effective classroom environment, starting 7-minute lesson (MT)with the first day of class and continuing throughoutthe semester (STR)I am confident that I can describe how to address I am confident that I can deliver a 7-minute lessonstudent behaviors that I find problematic (STR) (MT)I am confident that I can describe two guidelines for I am confident that I can identify
not share any classes. Consequently, this author was often theonly black student in their courses. They found it much more difficult to find students who werewilling to work on assignments with them. They would often reach out to their classmates andother students would say that they “weren’t working with anyone” or “weren’t available” at thetimes this author planned to work. Those same students would later be seen working together atthe same times and locations where they were working. Another author noted having the same experience and also struggled to find students to studywith for qualifying exams. The few Black students who entered this author’s PhD program beforewarned her that the qualifying exam experience is often quite
. Devising a strategy to create fulfilling and informa-tionally identical labs for both groups proved to be a challenge that required meticulous planning,which is outlined in the following subsections.During early course design for the learning-based labs, the information that would be presentedto students was planned in advance in a master document. This master document was the sourcematerial for the informational content presented in the VR simulations and given to the non-VRstudents as a PowerPoint; see Figure 2. With this approach, students are exposed to the sameconcepts, but the concepts are delivered through different mediums. The learning-based labs Aand C provide context to the experience-based labs and therefore precede them.Modules B and
are beginning to plan how to equip students with thenecessary skills and competencies in AI. This literature review delves into AI literacy in highschool contexts. It employed Kitchenham and Charters guiding principles to plan, conduct, andreport on the status of high school AI literacy research. Following an extensive search acrossleading academic databases simply using the terms “high school” AND “artificial intelligence,”1,943 articles were initially found. Strong inclusion and exclusion criteria were developed toensure the selection of articles that only related to research primarily focused on high school AIliteracy. After rigorous screening for relevance and availability, we selected 16 articles related tohigh school AI literacy.We
a platform for students to role-play a fictional company for enterpriseresource planning [49]. Other online role-play simulations focus on students taking the role ofproject managers with students receiving immediate feedback on their decisions [50], [51], [52].The course redesign described in this paper builds upon the work of Maxim, Brunvand, andDecker [57], which used role-play in a redesigned game design course, CIS 488, at theUniversity of Michigan – Dearborn. We re-used this work with some modifications in therevision of the second course in our two-course game design sequence. This course beginning in2017 had the students role-play as developers of a failing game company with the goal ofsimulating concept to release creation of 3D
framework’, ‘social medium’, and ‘participate outreach’.Figure 4d) demonstrates the bigram network related to tweets discussion online EE, where itwas observed that the education board in the central node connected with the words ‘distancelearning’, and Oklahoma State’. There are also conversations about ‘plans to keep the schoolbuilding closed’ in communication-related to the COVID-19 pandemic. Additional notablewords would be ‘institutional care fund’. These discussions were about the courses becomingonline and institute initiatives to cover the funds of the students who paid for campus coursesyet become online due to the consequences of COVID-19.Figure 4: Top bigrams for each group c) engineering profession, and d) distance learningFigure 4e
) organizes and hosts two popular civilengineering student competitions each year: Concrete Canoe and Steel Bridge. Many collegesand universities that compete in these competitions are voluntary clubs for students ranging fromfreshman to graduate students. Their primary purpose, to win. However, winning is not the onlybenefit of these competitions. By participating, students are exposed to an open-ended,interdisciplinary problem, which requires them to think critically about a problem and formulateinnovative solutions. Moreover, it provides the students an opportunity to apply the technicalknowledge gained during their academic journey such as structural analysis, project planning,design optimization, sustainability, and cost analysis to a real-world
, hydrostatics forces,pressurized pipe flow, water distribution, open channel flow, hydrology, surface runoff, rainfall,and risk. Computer modeling and laboratory exercises are used to emphasize principles. Thecourse meets three days a week for 65 minutes each session. Several lab activities are used as in-class activities while others that require more intensive calculations and reporting are assignedoutside of class. Additional course components include homework problems, a researchpresentation, and unit tests.Adjustments were made to the schedule and assignments to improve student learning andincorporate three teaching practices as described below. Throughout the course planning, carewas taken to rearrange the student workload, not increase it. Table
robot would contact the ground.Milled out aluminum was used for the legs; an aluminum frame was used for the body, and woodshelves were fitted inside the body to place electronics. Components in the body were planned tobe secured to the shelves using velcroTM and cable tie wraps to enable ease of installation andremoval.Upon testing and evaluating options, the students decided to include both ultrasonic and laser-range-finder (LRF) sensors on the robot for path planning and obstacle avoidance. The goal wasto achieve some level of redundancy and complement the field of view offered by eachtechnology. The safety requirements on the LRF were investigated to ensure that its operationwould not cause any concerns for those operating or observing the
, chemical and bio-molecular,and industrial and systems engineering choosing to participate in programming for teachingcareers. Here we expand this analysis to additional demographic characteristics and present dataon longitudinal participation trends for this population. We also offer interpretations of what thisdata might mean when planning recruitment strategies to bring engineering students intoteaching careers. Results show that the typical Tech to Teaching engineering participant isfemale, white (or international if a graduate student), majoring in industrial, civil, or mechanicalengineering, and is close to graduation. Also, this student will have a GPA comparable to theaverage for all Georgia Tech engineering majors (contrary to what many
H&S DAQ Mission Planning Power H&S Control Data Postprocessing Voltages provided to all Payload Electronics Comm C&DH
, University of Oklahoma (OU) during 1999 and 2000, and then at theDepartment of Civil and Environmental Engineering (CEE) at University of Cincinnati (UC)during 2001 to 2003. This Research Experiences for Undergraduates (REU) Site was funded bythe National Science Foundation (NSF). The purpose of this REU Site was to encourage talentedundergraduates to enroll in graduate school by exposing them to research, and to increase theirinterest in graduate research. In this paper, first the basic approach adopted to plan the REU Siteis presented, followed by a description of how it was administered each year. Then a detaileddescription of the projects executed in different years is presented. In the end the evaluationprocess used, and the outcomes from the
facultymember can identify areas for improvement regarding the effectiveness of the course insatisfying the specific course objectives and in the achievement of the overall program outcomesand educational objectives. New web-based surveys are currently being introduced to provide anenhanced evaluation of student achievement in both departmental course specific objectives andfor assessing the achievement of program educational outcomes in support courses. By buildingfrom its recent positive ABET review, the department plans to continue updating and improvingits methods of assessment. This paper summarizes these efforts.IntroductionTo be effective, an assessment plan must be flexible and adaptable. As electrical and computerengineering disciplines must
skills commensurate with students’ educational levels. • To formulate a plan for skill-building and delivery in an interdisciplinary engineering curriculum, interfacing with existing courses on power and energy generation and distribution. • To instill a sense of urgency for learning and training in green energy, addressing current, new, and future challenges, and responding to the urgent impacts of global warming on human health, the environment, and overall well-being.The curriculum integrates diverse educational levels, faculty expertise, disciplinary areas, studentbackgrounds, industrial requirements, learning methodologies, and practical applications aligningwith students
can be pushed out to the cell/smart phones of PEs’ registered forcourse(s) without their intervention (e.g., no browsing for information) regardless of the phonemodel, calling plan, or wireless service provider they own.In particular, this paper will discuss the following topics: 1. Existing models of university-company collaboration so as to introduce an atypical university-company collaboration in which the partnering company is a start-up which owns a potentially potent m-outreach technology. 2. Definitions of m-learning in order to better understand the unique educational potential for engineers of the m-outreach tool upon which this university-company collaboration rests. 3. Details of the technology behind the
, communication skills, leadership experience, anddispositions towards work and life that have been iteratively constructed from professionalexperiences.Assertion 2These professionally-experienced non-traditional graduate students stated that their prior workexperiences prepared them well for the engineering education PhD program. Their moredeveloped habitus, which consists of their capitals, transposable dispositions, and internalizedprinciples, was evident in their planning skills, their confidence in their success, and their focusand clarity of their research interests.The skill of planning developed and perfected in prior work experiences enabled theseprofessional non-traditional students to excel in making schedules, completing assignments
health monitoring of energy intensive systems.Shauna O’Hurley O’Hurley, Rochester Institute of Technology Shauna O’Hurley is studying Computer Engineering Technology at the Rochester Institute of Technology. She is the President of the student chapter of the Society of Women Engineers at RIT. She has also been very active in the Women in Engineer (WE@RIT) office within the Kate Gleason College of Engineering at RIT, helping to assist managing and helping to run programs.Robert P. Lillis, Evalumetrics Research Rob Lillis is President of Evalumetrics Research and has been providing planning, research and evaluation services to education, substance abuse, criminal justice, traffic safety, health and mental health programs
thatcombinations of chance encounter and planned encounter combine to create opportunities forlearning or career choice. The encounters may be a product of structured educational settings, orthey may be a product of encounters that, while governed by chance at some level, have beenencouraged during structured settings, as pointed out by Mitchell, et al10 who also point out: Planned happenstance theory includes two concepts: a. Exploration generates chance opportunities for increasing quality of life, and b. Skills enable people to seize opportunitiesand further point out that according to planned happenstance theory career counselors shouldhelp their clients develop five skills: curiosity, persistence, flexibility, optimism
women‟s strength in relationships, they are often organizational connectors, able tobring diverse ideas and peoples together to work together, plan together and build prototypes ofnew possibilities whether in products, in ideas, or in approaches for work design. They have aninnate ability to see connections in ways that reflect systems thinking and functioning. Theyhave a knowing of when something is missing or something is being excluded that needs to bepart of the equation. They are more often than men able to demonstrate an introspectiveapproach, are better listeners, and more collaborative and/or inclusive in their ways ofleading24,25,26.Other commonly noticed female attributes are about seeing through a different lens, bringingforth new
for the lab activities, including abenchtop fuel cell/electrolyzer users guide, lab safety guidelines, wiring diagrams and severalexperimental lesson plans that utilize the kits.Also in year one, two fuel cell test stations have been built that allow the operator to directlyobserve and record data on a fuel cell stack while adjusting a number of operating parameters,including load current, temperature, air/fuel stoichiometry, and frequency and duration of Page 15.907.10hydrogen purges. Each test station is supplied with an 8-cell, 500-Watt fuel cell stack designedand built by SERC.In the second (current) year of the project, the laboratory
wereused to create a prioritized list of potential changes that could then be evaluated. This paper wasimportant to the CEPCTC because it focused on both the methodology and suggested potentialchanges.Ressler8,9 reported the need for long-term synchronization of the published BOK and itsassociated accreditation criteria. In 2011, CAP^3 formed a special task committee to develop astrategic plan for long-term management of change. The principal objective of the taskcommittee’s work was to propose a systematic and predictable process for continuous change toboth the BOK and accreditation criteria. The task committee proposed an eight-year repeatablecycle that “allows time to formulate and publish a new edition of the Civil Engineering BOK andto
demographics.Increased retention and graduation of students in engineering were primary goals of the project.Of the 59 students who were part of the S-STEM program, 36 (61%) maintained scholarshipeligibility until graduation or the end of the grant, 10 changed majors (six into in a differentSTEM discipline), and only six students left the University with no indications of additionalhigher education plans. By the end of the program 44% of the scholarship participants graduatedwith an engineering/construction management degree and 51% graduated from the Universitywithin a five year time frame. This rate compares favorably with the 2007 CoE freshmen cohortrate of 37.2%, and another 22% of S-STEM participants are anticipated to graduate withengineering degrees over
2011.Starting any new degree or program at a university can be a daunting undertaking. This isespecially true for a cross-functional degree involving three separate departments, which werethe mechanical engineering, electrical and computer engineering, and the computer sciencedepartments. Fortunately, the initial impetus and evolution of this degree was simultaneouslyenvisioned and embraced by both faculty from the various academic departments and theadministration at Lawrence Tech. Because of this joint interest the development of a roboticsengineering degree the effort became an objective of the 2011–2016 Lawrence TechnologicalUniversity College of Engineering Strategic Plan. Clearly, this joint acknowledgment of the needfor and value of a
, coordinating efforts among K-12 science, technology, engineering, and mathematics (STEM) outreach programs, and working closely with university enrollment management and data management professionals at the Friday Institute at NC State University. She works closely with both large and small NC State outreach groups offering K-12 outreach to teachers and students. She also assists with planning, implementing, managing, and reporting of project activities which include survey development, coordination of data collection, interfacing with data managers, coordination of meetings and workshops for outreach providers to gather feedback, identify best practices, and disseminate findings
first place. For example, in environmentalengineering laboratory courses where students collect their own data, how do they use GenAI tohelp them decide what to use the data for, what approaches to use to process the data, and thenexecute their plan (e.g., Excel workflow or Python code)? The present study aims to address thesegaps by examining what motivates students to choose to use GenAI tools or not and how studentschoose to integrate GenAI tools into their project workflow working with unstructured data andprogramming tasks. For those who do choose to use GenAI, we explore how it affects theirlearning, problem solving approach, and overall performance on these assignments? Finally, byfocusing on CEE education, this study aims to learn
women’s participation in STEM, and related topics grew steadily from the 1970s onward [1],[2]. In the last two decades or so, an investment in programs that support broadeningparticipation with a lens of diversity, equity and inclusion has been prioritized in these and otheragencies. The 2024–2026 vision for NSF (produced in 2022) explicitly calls for “A nation thatleads the world in science and engineering research and innovation, to the benefit of all, withoutbarriers to participation” [3]. The NSF strategic plan further articulates core values which arethen specified within the agency’s individual programs: 1) Scientific leadership 2) Diversity andinclusion 3) Integrity and excellence 4) Public service and 5) Innovation and collaboration [3
’ future international engineering plans. Appendix E details these results.Within one month of returning back to the US, students were asked to provide open-endedreflections from their experiences in South Africa. Key themes from student submissions aredetailed in Table 2. Notably, 71% of students commented on the unequal access to healthcarestemming from systemic inequality in South Africa. 57% of students discussed the personalimpacts of the trip, which included identifying personal privilege, feeling inspired ortransformed, and noting the importance of first-hand experiences. 57% of students also expressedthe importance of biomedical engineering innovations for the low-resource settings that theyobserved. Approximately one third of students
ice-breaking activities, introductions,and sharing sessions to forge connections and foster a supportive atmosphere. This foundationalphase aims to cultivate camaraderie and unity among leaders, laying a solid groundwork for effectivecollaboration.Figure 2. The Tuckman’s Stage of Group Development applied in the overseas team-building program for SIG leaders in academic makerspaces and the essential 5 incentives for active engagement.Transitioning into the Storming stage, we task SIG leaders with engaging in detailed discussionsamong their respective SIG teams to create technical reports on their projects and innovations. Thisprocess instills a culture of structured planning and accountability, encouraging leaders to
experiences, and culturally developed identities.This step provided a deeper understanding of how participants’ experiences were shaped by andcontributed to their evolving social and academic identities within the host environment.The third and final coding round refined the analysis by categorizing data into challenges,opportunities, and achievements themes. This round adopted a longitudinal perspective,comparing initial, intermediate, and final interview findings to trace changes over time. Anadditional layer of analysis was included to differentiate participants who expressed intentions topursue graduate studies in the U.S. at the end of the internship from those who openly stated theydid not plan to return. This distinction revealed variations in