experience of reporting to leaders and other team members. What strategies do you use to show respect to others on your team? Strategic Planning Discuss how you label tasks and deadlines. How would you describe your organization process? How could your organization process be improved? Ensuring Fair Work Discuss your teammates’ strengths, positions, and workload. Distribution How was work divided amongst the team? Do you think that the workload was fair? Why or why not? Closing Prompt Please upload any applicable files from your “Level 1
and PhD in STEM Education from the University of Texas at Austin.Dr. David B. Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Special Assistant to the Dean for Strategic Plan Implementation in the College of Engineering. His research tends to be at the macro-scale, focused on a systems-level perspective of how engineering education can become more effective, efficient, and inclusive, and considers the intersection between policy and organizational contexts. Knight currently serves as the co-Editor-in-Chief of the Journal of Engineering Education.Dr. Maura Borrego, University of Texas at Austin
is currently an Associate Professor in the Mechanical Engineering Department at the Milwaukee School of Engineering (MSOE). He completed his doctoral training at the University of California-Irvine where he was a National Science Foundation Bridge to the Doctorate Fellow. He completed his master’s degree at the University of Wisconsin-Madison where he was a GEM fellow and Graduate Engineering Research Scholar. He also holds a bachelor’s degree from University of California San Diego. His interests include robot control, design of mechatronics systems, pneumatic actuation, motion planning and optimal control. ©American Society for Engineering Education, 2024 Simulation and Control of
strengths may helpmitigate the sense of isolation that some CSt report.Adopt Supportive Policies and Programs Time constraints, one of the main challenges of CSt, canbe eased by a variety of policies. For example, providing CSt with priority course registration,[21] an option sometimes offered to student athletes, would likely make it easier for CSt to plan acourse schedule that meshes well with their childcare arrangements. Policies that allow CSt aleave of absence could be helpful.[43] Support for CSt is often ad hoc,[24] although formalpolicies (e.g., for lactation time and space) may benefit students. [44]Other resources for CSt might include a parent resource center, playgroups, and clothingexchanges. [9] A CSt support network, which CSt
Percentage To get advice in career planning 15.5% To polish up my résumé 12.3% How to network with professionals from industry 11.5% To gain knowledge of opportunities related to my career interest 10.7% To know more about the profession related to my major 10.4% To improve my interviewing skills 10.4% To learn about work expectations in industry 10.1% To get general guidance and tips
academic programs and courses that align with the goals and priorities of your multidisciplinary initiative? 9. What challenges do you anticipate facing in the coming years, and how do you plan to address these challenges to ensure the continued success of your institute?Interview Question 3 asks about key factors for success and adds a temporal element to thediscussion. During the interview participants were shown the mind-map illustrated in Figure 2and asked to indicate which factors were most important during different stages of the life spanof an interdisciplinary initiative. Based on the researcher’s experience developing andparticipating in interdisciplinary initiatives, the illustration shown in Figure 2 was created as
ever but on the other not having a long-term plan for the implemented systems can lead to non-functional systems and take on a more traditional service-learning approach. Also, having students work on projects for only 1 semester during the year is not ideal. At OSU an attempt is currently being made to involve capstone students who are part of the global capstone program who have more time to start working on these projects in the previous semester and thus offering some continuity.g. A never-ending course for the faculty - While community-based learning courses are typically only offered for a semester, effectively maintaining the relationship and the projects is a yearlong commitment. The off-semester work is often not
aid resources [3]. Community college students are also more likely to work full timewhile attending school. Nearly half the population of working students pursues a communitycollege degree [4]. Many students feel pressure to amend their academic plans to their workschedules, making it difficult to maintain regular academic progress [4], [5], [6].Financial barriers pose a significant challenge for community college students aspiring to pursueSTEM four-year university degrees. Students who work outside the university often face a dualcommitment that splits their focus, energy, and time between education and employment,impacting their ability to concentrate on academics [7], [8]. Due to the difficulties that balancingan outside job can present
computational thinking, relying on visual aids to develop a set of classification rules for images. This approach illustrated the transformative power of computers, i.e. if 6 participants developed 10 effective classification rules in one hour, a computer could develop a million in a minute. The purpose of this exercise was to encourage the use of the “right tool for the job.” ● Large team exerciseThe large team exercise combined all the red, and all blue teams into two different groups, to applytheir combined, “same side”, innovation and technology knowledge to imagine plausible next stepsfor their integrated circuit manufacturing company. At the end of the activity learners were askedto present their plans and compete for a
laboratory an efficient working cell bank vial, a set number of shake protocols bioreactor seed flasks, wave bags, and bioreactors of set volumes, • Optimizing a train and growth information about the cells, all while process trying to minimize the seed train duration and • Making decisions plan for the risk of contamination. Module 3: Scale- Given the protocol, column dimensions, and • Optimizing a up and fit to dynamic binding capacity for a lab-scale protein process plant assessment A process, assess fit to plant for a 12,000 L • Making decisions for protein A bioreactor with expected titer and harvest ranges
(Table 3) ABET4 Recognize ethical and professional responsibilities in engineering situations and make informed judgements, which must consider the impact of engineering solutions inSignificant global, economic, environmental, and societal contextsLearning - ABET5 Function effectively on a team whose members togetherProfessional provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives ABET7 Acquire and apply new knowledge as needed, using appropriate learning strategies Table 3. “What” code levelsLevels
is adding newgames and activities to invoke critical thinking and team building. Adding a new curriculum iscritical to adjust the students attending year after year as well as remaining innovative.Furthermore, adding activities, there are plans to translate lessons from Coding Academy intoSaturday workshops. These short courses would help refresh students on material and/or buildupon previous lessons from the summer curriculum. By supplying students with these extralessons Coding Academy cultivates the learner and offers accessibility for students for whomsummer classes, and or weekday lessons are not possible.One question asked in the Coding Academy survey was if the students planned on learning othercoding languages. Thirty-two percent of
situations like the National Oceanic and Atmospheric Administration (NOAA) satellitemishap [36]. Table 2 lists several important modes of communication that engineers employ.Table 2: Modes of communication covered by the lecture. Mode Definition Design Reviews A way for teams to communicate their progress and concerns about a design Contain numerous photographs depicting an artifact to help the audience Inspections visualize an artifact's condition Presentations Verbally and graphically present designs/results to colleagues Public Meetings Communicate what plans or decisions are being made on a project Lab Reports Factual presentations of
curricularofferings from June 2020 to June 2022. They were tasked with changing or creating a minimumof one course and were asked to share teaching resources/tools created and to provide lessonslearned and feedback on the use of the EOP Framework in curricular changes. Grantees werealso offered up to $10,000 in supplemental funds to address challenges and opportunities thatemerged after the first year, which was marked by the COVID-19 pandemic. The project wasguided by an evaluation plan co-created with VentureWell and The Lemelson Foundation, andVentureWell supported peer learning through a Community of Practice.2022 - Scaling for Impact WorkshopIn June 2022, with the support of the National Science Foundation (NSF) and the collaborationof The Lemelson
lectures to the end of identifying andmodeling systems requirements in addition to developing security plans and implementing adatabase.Intercultural Competence InterventionInorder to help students understand the need and importance of intercultural competence, twoportable intercultural modules (PIM) focused on intercultural competencies were integrated intothe course. These PIMs were introduced in the 6th and 10th week of the semester, respectively.Both PIMs required students to view videos and complete activities and readings, followingwhich their knowledge was tested in the form of quizzes and written reflections. The two specificPIMs that were utilized in this course, and they are titled “Productive Conflict” and “TrickyCommunication: Intent
problem contexts that students would encounter in appliedscenarios. However, this idealized practice schedule can be at odds against the demands of thecourse syllabus schedule. The breadth of concepts that a ChE course must cover in its syllabus, especially one thatis part of the core curriculum, limits both the amount of time and instructional strategies thatlesson plans or homework can prescribe to a particular concept[2], [3]. This in turn can detractfrom students’ targeted practice on a particular concept to either not sufficiently demonstrate allcontexts or attempt to do too much at once within problems that can then strain the number ofcognitive tasks students can successfully complete[4]. To bolster concept application
, reproduced from 21 • Independent study: students are encouraged to work outside of the classroom (alone or in groups)In this section, we describe how we have structured the course to leverage these different teachingstyles.3.1 Backwards DesignThe Backwards Design approach to teaching can be described as follows: “learning outcomes areidentified first, the evidence of how achievement of the results will be assessed is determinedsecond and, finally, the learning activities and instruction methods are planned, with the mainpriority being the students’ engagement through active learning” 21 . This can be implemented in aclassroom using the ‘Understanding by Design’ framework 22 . This approach has beensummarized in Figure 1, reproduced
, preparation program, roboticsBackgroundTo foster industrial projects, collaboration among academia, industry partners, and students isessential. However, such collaborations present challenges, including disparate outcomeexpectations, limited support, and a common deficiency in contemporary technicalknowledge and hands-on competency among students. In response to these challenges, theengineering faculty at the University of Hong Kong established the Tam Wing FanInnovation Wing (also known as the HKU Inno Wing) [1]. The aim is to engageundergraduates in interdisciplinary experiential learning and tackle real-life technologicalchallenges. Inno Wing first establishes a mutually beneficial collaboration plan, includingclear objectives and commitments
college plans, facing significant challenges such as technologicalbarriers, financial hardships, and inadequate learning environments at home due to COVID-19[10], [11]. These issues were compounded by increased food and housing insecurities and mentalhealth struggles due to the stress of the pandemic [12]. Despite some support from institutions andorganizations, such as ScholarMatch, many students lacked sufficient resources and assistance,exacerbating educational inequalities, and underscoring the need for targeted support to ensuretheir academic success [13], [14]. A study by Lee et al found that students from low socioeconomicbackgrounds greatly valued the ability to study at their own pace, citing it as the primary benefitof online learning
into five groups: artificialintelligence (AI)-assisted technologies, advanced manufacturing, smart tools, digital simulationand visualization, and data acquisition and detection [1]. Examples of technologies included inthese groups are digital visual capture of drone images, use of augmented reality on jobsites,digital twins, blockchain, and the use of artificial intelligence systems for predictive analyticsand Building Information Modeling (BIM). These technologies often work in tandem and spanseveral phases of the planning, design, construction, and operations building life cycle [1].Because of the pervasive nature of emerging technology, the construction industry might alsoincur transformations of its business models and production
include religion, age, gender, etc. [8, 9].Although models using these predictors yield somewhat accurate results, they don’t consider thestudents’ work ethic or study habits. Therefore, we plan to factor in students’ efforts whenpredicting their course performance.One of the best ways to measure how much a student cares about their academic performance isto analyze their participation in the class [1, 10, 11]. A discussion forum is a platform that enablesstudents to seek help from their peers and instructors. Multiple studies have focused on producingand analyzing the statistical correlation between discussion forum data and student courseperformance [11, 12, 13]. While statistical correlations can benefit inference, student
needs. As such, program leaders must work to (1) provideeffective, accurate, and personalized support; and (2) provide information and recommendationsfor curricular developments and resource management. Both efforts rely on a strong foundationof data to inform decision-making. As such, this paper describes the quantitative portion of alarger mixed-methods project, from which the authors identified initial baseline conditions ofstudents’ academic performance in the focal course and revealed potential influential factors asrevealed in a logistic regression model predicting the likelihood of a student to receive a passinggrade. Future plans for educational data mining beyond the focal course are discussed. This worksuggests some opportunities for
Music and Eastern Michigan University, holds a PhD in Integrated Social and Cognitive Psychology from Wayne State University. Cole teaches undergraduate and graduate courses in human resource management (HRM), principles of management, and business statistics. Cole is an NSF grant recipient and has published over 40 journal articles and book chapters on the science of teams, team conflict, team leadership, entrepreneurship, research methods and models, the neuroscience of the self, positive organizational scholarship, Appreciative Inquiry, SOAR (Strengths, Opportunities, Aspirations, and Results), SOAR-based strategic thinking, planning, and leading, and engineering education. Cole is the Associate Editor for the
nights and design challenges, were woven throughoutthe PMP’s programming to foster students’ social support and associated sense of belonging[19]. To encourage faculty relationships, the program hosted mixers that featured opportunitiesfor students to meet and engage with engineering faculty outside of the classroom [27]. The PMPoffered at least one event or seminar each week throughout the academic year, all of whichfeatured content designed to support students’ transition to college. While widely-recognizedpractical skills, such as time management, degree planning, financial literacy, and professionaldevelopment, were included in the programming schedule, the PMP also featured a strongemphasis on student thriving [28]. Specifically, a portion
planning and resourcing physical hands-on laboratories [24]. Virtual laboratories can beused to demonstrate bending moment, torsion, and transverse shear loading on simple structuresas well as complex aircraft components. However, virtual laboratories lose some of the benefitsrealized from in-person, physical hands-on experiences. Simulations also include perfectexecution and may not capture critical assumptions needed for experimental tests.The research question which this study aimed to answer was “Can training aids be developed tohelp student visualize failure of non-traditional materials under various loading conditions tocompliment laboratory programs?” The study presented in this manuscript investigated thedesign and development of three
. 10In the Engage phase, LbE markedly improved student engagement, stimulating early involvement withdesign thinking tasks. However, this initial enthusiasm requires careful moderation to prevent it fromeclipsing the core content goals and to mitigate the risk of activity fatigue, which can emerge fromrepetitive LbE use. A critical issue noted was the difficulty in connecting these engaging activities withthe design thinking framework comprehensively. During the Explore phase, LbE effectively facilitateddesign ideation, promoting hands-on exploration. Yet, the efficacy of this phase hinged on the structureddelivery of LbE sessions. Without meticulous planning, students struggled to express their experientiallearnings, highlighting a gap in
duration of astudent’s time at this institution. Perhaps in future iterations of this course, projects could beevaluated by campus staff and selected for the possibility of implementation. However, a focuson projects that would be practical to implement may dissuade students from being as creative aspossible.Another limitation of the project itself was identified by commuter students, who noted that itwas challenging to formulate an idea for an issue on campus. To make this project more inclusiveof commuters, we plan to open up the project to areas of opportunity on campus or in students’home communities.A limitation of this work related to the data analysis is that terms in the survey, such as “sense ofcommunity” and “prior knowledge,” were not
learning [7]. In turn, how theyapproach problems when things do not initially work out as planned or require more effort thanimagined is related to their own perception of their ability to learn [7]. This experimentalprogram employs hands-on, problem based learning and supportive (mastery-based) assessmentto prepare students to approach problem solving as an iterative activity.Hands-on, problem-based learning and mastery-based assessment are pedagogies that focus onstudents' learning and include iteration through failure as a defining feature. Problem basedlearning is an approach in which students solve open-ended, ill-structured, authentic problems inwhich iteration is treated as a problem-solving process [8], [9]. These ill-structured
undergraduate researchers and not large ambiguousresearch aims that is more commonly done in graduate school training.STEM Research - Future ThinkingWe next sought to understand the impact of undergraduate research on ND and NT individualfuture career plans. Previous research has indicated that participation in undergraduate researchopportunities significantly increases the chance of individuals pursuing graduate school [23].With the desire to increase representation and diversity in graduate school programs, we soughtto understand if participation in undergraduate research impacts career plans differently from NDto NT individuals. Both ND and NT participants had similar low percentages for disagreeing andstrongly disagreeing that they received quality
Engineering Science at Trinity University in San Antonio, Texas.Alyndra Mary Plagge, Trinity University Alyndra Plagge is an undergraduate Psychology student at Trinity University. She is majoring in Psychology and minoring in Education and set to graduate in May 2025. After graduation she plans to pursue her master’s degree.Shea E. Lape ©American Society for Engineering Education, 2024 Building an Identity in the MakerspaceAbstractThe purpose of this complete research paper is to analyze the impacts of an open makerspace onthe development of students’ engineering identities. This paper seeks to build upon currentbelonging analyses about makerspaces and shift the focus towards