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
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
, the whole-class play modeencourages collaborative deliberation, enabling students to engage in group discussions and voteon decisions that mimic real-world engineering teamwork.In the future, we plan to incorporate explanatory responses for each decision students make.These explanations not only encourage reflection and deeper engagement with ethical dilemmasbut also serve as valuable pedagogical tools for instructors and facilitators. The integration ofexplanatory responses aims to promote a more comprehensive understanding of the ethicalconsiderations underlying students' choices. To assess and provide feedback on the quality ofstudents' ethical reasoning, we intend to employ text classification techniques. These techniqueswill enable us to
this caused them tobecome more motivated to make a difference using it. One student highlighted that they did notreally know what service-learning was before they participated, and now they plan to do more asit demonstrates how what they learn in the classroom can be used to help communities [22].Our experience also highlighted that global awareness is gained or greatly improved throughinternational humanitarian trips. Most of the students had little to no experience with service-learning. Collectively, we felt that we were greatly impacted by our experience, and we becamemore aware of issues impacting people from different countries and cultures. Also, we live incommunities with unfettered access to clean water, and this was our first
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
. Thisdesign problem was inspired by regional events such as the Gold King Mine Spill that occurredin 2015, where over 3 million gallons of AMD contaminated water was accidentally released intothe Animas River, impacting water supplies for rural and Indigenous communities. In NewMexico, there are 15,000 abandoned mines, many of which are co-located with vulnerablecommunities, and there is risk of current and future environmental contamination [11]. Studentswork in teams of 3-4 to research AMD, the Gold King Mine Spill, and novel treatment options.Next, they plan a lab experiment to raise the pH of 200 mL of AMD water from 3 (acidic) to 7(neutral), using their choice of 4 materials: limestone, calcium carbonate, activated carbon, andsoda ash. Students
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
par;cipants highly valued thehands-on por;ons.Recommendations for Future Workshops We plan to follow up on the ini;al workshop with a second. Our aim is to narrow our focus inthe upcoming year and design the presenta;on to include more hands-on ac;vi;es. As thepar;cipants observed, another beneficial aspect of the presenta;on was allowing everyone towork at their own pace with the provided worksheets. Addi;onally, the presenters circulatedamong the class, offering help where needed. Conclusion The ASEE 2023 conference showcased a fruisul collabora;on between academic ins;tu;onsand MathWorks. This partnership led to a successful workshop execu;on highligh;ng theintegra;on of advanced MATLAB features with the Arduino microprocessor to
-making andconflict management practices thereby enhancing productivity. In addition, support systems forinclusivity and accountability such as the responsibility matrix, team building ice breakers oractivities, and action items trackers facilitated trust management and relationship building [24].Furthermore, team management artefacts such as project schedule(s), task list(s), meeting notes,procurement and budget tracker(s) supported students’ efficient time management practices.While the project schedule facilitated planning of design project activities, the task listsfacilitated work transparency; meeting notes enabled progress tracking of tasks, and theprocurement tracker allowed for cost transparency of design project purchases. The
criteria) for and the search results from a pilot review (see Pilot Review),how the lessons learned gained from the pilot review were incorporated into refining the searchstrategy (see Lessons Learned and Search Strategy), and our future plans (see Future works).Pilot ReviewDue to the absence of a relevant a priori protocol registered with the Open Science Framework forthe current scoping review, a pilot scoping review was conducted to develop one. This pilot reviewalso aims to establish a systematic search strategy (e.g., a search string, search database, inclusioncriteria) to identify a broad range of primary literature, aligning with the goals of our scopingreview (Arksey & O’Malley, 2005). This process also served to enhance the research
weekly grades during the course, including the final course grade. • Answers to the end of module survey.We are planning to study various correlations between the answers provided in the survey andthe course activity.ConclusionThis paper presents work in progress, describing in detail a proposed intervention for includingthe selection of a professional role model in the curriculum of a given discipline. A pilotexperiment is under way, and we will have partial results available during the conference.Our long-term goal is to show that selecting a professional role model and analyzing it from thestudents’ own perspective will increase student identification with the domain of study, theirmotivation and engagement and will contribute to
reasons behind thisstudy’s findings.Furthermore, given that research-informed teaching is known to be effective in improving thequality of teaching, it is important to include the findings of practical studies, like this research,in the sustainable construction course contents. The implications of these findings for sustainableconstruction education are significant. Incorporating the insights gained from this research intosustainable construction courses can enhance students' understanding of the practical challengesand opportunities associated with achieving LEED certification. For example, educators can usethe study's results to illustrate the importance of energy efficiency and sustainable sitedevelopment in project planning and design. By
insight into whatentrepreneurial mindset is. This could then broaden the scope of how impactful the computer scientistsand engineers are on society. Comprehension questions are better answered when the motivation behindthe research is understood. If a specific set of resources is provided to the professors to help in theirunderstanding of the research, they are in turn equipped for the execution of relaying instructions.Asking students to reflect about how their profession creates value allows them to explore importantaspects of the entrepreneurial mindset. For future studies we plan to revisit the concept mapping activityafter the students have been exposed to EM activities. Changes in the concept maps over time will help usunderstand the best
introduced include (1) every idea has the potential to contribute to apositive outcome, (2) questioning an idea can provide valuable insight, and (3) applying thebrake can be productive. Students practiced the three attitudes using role play activities. Therewere no additional formal reinforcements though there may have been further discussions withinstructors during the course [6]. Specific intervention materials can be obtained fromEngineering Unleashed KEEN Card #3679. Freshman design students were surveyed at the endof their class, and we plan to survey them again as they progress through capstone design.In addition to this direct teaching of psychological safety, leadership and teamwork skilldevelopment are threads throughout our curriculum. In
(4)The path constraint equations (1) and (2) for the initial and final values from Equation 4 providethe coefficients in cubic polynomial shown in Equation (5)A0=0 ; B1 =0 ; C2 =67.5 ; D3 =-22.5 (5)Equations (1) and (2) for trajectory planning are θ(t)=67.5 t2 - 22.5 t3 [deg] (6) θ̇(𝑡)= 135 t- 67.5 t2 [deg/s]Motion Simulations with SolidWorks MotionThe team of students created the SolidWorks assembly for Exo Arm, Figure 9. The time intervalfor simulation is considered two seconds, within interval t0 =0 to tf =2 sec. (a) (b
-Canada survey on engineering career paths and EDIIn partnership with Engineers Canada, Troost ILead conducted a survey with engineeringgraduates across Canada in late 2022. As part of our recruitment strategy, we invited allprovincial and territorial regulators of professional engineers to an informational session aboutour planned survey on engineering career paths. In particular, we reached out to each regulator’srepresentative on the ‘30 x 30’ campaign, which has a goal to increase the percentage of womenamong all newly licensed engineers to 30 per cent by the year 2030 [27]. As a result, eight of theregulatory bodies and one provincial engineering advocacy organization agreed to support ourparticipant recruitment efforts (e.g., Linking to our
partis beneficial for engineering fields such as aerospace and automotive where less weight meansgreater stability and speeds. All material has a failure point, so it is good to plan for how thematerial will fail and how that failure can affect the overall part. Honeycomb infill will collapseon itself, but will not fracture. This means the part can still hold the force applied to it. It seems that harder and stronger materials solidify faster when being 3D printed. Thiscan cause a rough surface finish. No matter what material is used, when 3D printing, surfaceroughness will be noticeable. A tradeoff for a better surface finish, if to reduce the strength of thepart by using ABS.Conclusion The results from the data can be useful in
. The recitation attendance is optional,which means we do not know how many students will join the recitations and it is hard for thefacility department to plan a classroom for recitations. Also, online delivery has beenimplemented and is still being implemented for many courses since the breakout of COVIDpandemic. Hence, peer-led online recitations are implemented since Fall 2021 semester andcontinued in several semesters for the Computer Organization course.In this paper, we report the design and evaluations of the peer-led online recitation in a hardwarecourse, Computer Organization. Section II describes the details of the design of the peer-ledrecitation from the aspects of peer leader selection, content discussion topics, recitation