Tragedy of theCommons. Early findings show positive engagement with both the Pisces Game and SpectrumGame, with many students describing these two as particularly impactful and enjoyable. VirtuePoints yielded results that surprised many students, and there are indications that clarifying andamending the scoring system for the game may promote better understanding of how it cansupport self-reflection on virtues.IntroductionEthics education in undergraduate engineering programs has long been a source of struggle forengineering educators [1]. The need for ethics education in engineering in Canada is driven byEngineers Canada through the Canadian Engineering Accreditation Board to promote adherenceto the Washington Accords and encourage high quality
here could be successful at other institutions.Introduction As a part of improving student retention rates at a small, private institution in theMidwest, faculty in engineering launched a new peer mentoring program focused on supportingfirst-year students. With a young engineering program and the isolating effects of the COVID-19pandemic, students often were not well-connected to their peers. In our previous publication [1],semester-to-semester retention rates were reported. Our work builds upon and contributes to existing research on peer mentoring [2-4]. Priorstudies find that peer mentoring is an effective approach to supporting college student success fora number of reasons [4-15]. In peer mentoring students share valuable
ofmathematicians, scientists, and engineers. These pioneers have not only made significantdiscoveries but have also applied their findings in the STEM field. Exploring their work canserve as a role model for engineering students, potentially sparking their interest in technicaldisciplines.Some universities offer technology history courses as part of their general education curriculum[1-4]. For example, Loendorf and Geyer [1] integrated historical technologies and their impacton society into their engineering curriculum, aiming to improve students' awareness oftechnology's historical heritage and foundation. Niemi [2] presented efforts to create a newcourse engaging STEM students by examining history courses through the lens of the history oftechnology
administrative costs, the consortium will bring together diverse private and public sectorstakeholders to conduct research on commercial vehicles, freight supply chain networks, andpertinent information systems to accelerate the adoption of automated and electrified systems totransport people and goods efficiently and flexibly. It is particularly focused on attracting diversestudents to be trained in trucking technologies, and on focusing research on societal andeconomic challenges related to trucking.Introduction and BackgroundTrucking is a critical sector, supporting the supply chains of many other sectors and movingnearly every product consumed in the U.S. This linchpin of the economy employed over 8million, including 3.5 million drivers [1], as of
are presented throughout the course. The expected background for studentsincludes knowledge of feedback and control systems.The course has learning objectives and a flow of topics [1]. 1. Demonstrate familiarity with the historical progression of control systems. 2. Analyze and use concepts of manufacturing hierarchical control and industrial control systems. 3. Apply discrete logic control to industrial control scenarios. 4. Analyze production models and flow lines in manufacturing. 5. Develop and use models of physical systems for analysis and design of control systems.The topics of the course are listed. • Introduction to process control • Types of control: feedback, tracking, PID, digital
, Programmable Logic Controllers (PLCs), and intelligent connecteddevises form the basic building block for Distributed Control Systems [1, 2]. Robot arms, forexample, have their own control systems, while the main PLC oversees the entiremanufacturing process. A multi-robot work cells, such as developed in this work, can boostindustrial productivity and flexibility. For multi-robot systems, collision avoidance, taskplanning, communication, and performance evaluation are all research and developmentthemes [3]. Robots can now perform more difficult activities with greater flexibility, such asassembling, welding, and material handling, thanks to the development of new computertechnology, sensors, and vision systems. [4, 5] The automated manufacturing
supports students in building self-efficacy in their abilitiesas electricity and electronics students. 1IntroductionActive learning is a teaching pedagogy which has gained traction in higher education as aneffective method for engaging learners in the process of attaining new knowledge [1]. It movesthe student from a passive role in hearing and absorbing information, to an active participant inconstructing new knowledge, typically through hands-on exercises. Active learning is an umbrellaterm used to describe many different types of practices, including role playing activities, pairprogramming, project-based learning, and many others [2].Many introductory electricity and electronics courses are ripe
, extrinsic motivation, mathematical modeling.IntroductionThe exploration of creativity and the interworking of human creativity through a research lensbegan in the eighteenth- or the nineteenth century, and scientific research of creativity hasaccelerated since the middle of the twentieth century [1, 2]. To date, the exploration of creativityin an educational environment, and the limitations of teaching, learning, practicing, and assessingcreativity in such settings, have not been adequately assessed or understood, but the relationshipis beginning to be conceptualized in various ways [3].As an attempt to incorporate creativity training into engineering education and to enhance thecreative thinking skills in undergraduate engineering students, poetry
ROS in Remote LearningAbstractEven though remote learning has been present and available in a myriad of topics beforepandemic times, robotics remote learning had the limitation of interacting with robotic platformsthrough simulation alone. With COVID-19, postgraduate education was forced to move to remotelearning. Birk et al. 1 conducted a reasonable practice for online teaching of a robotics course atJacobs University Bremen. Although their lectures covered most of the robotics areas, they usedpre-recorded videos to teach and did not hold labs to demonstrate the operations on real robots.The sudden pivot created a paradigm shift for robotics courses traditionally taught in-personwhere students had the opportunity to experience interaction
four 4-year HBCU institutionsexperienced a resignation or termination at the highest level. Additionally, research shows thatpresidents and chancellors at HBCUs have significantly shorter tenures, with an average of 3.3years than those of other four-year institutions, with an average tenure of 7 years. These changeshave been deemed a “crisis” and an added challenge to the ongoing recovery efforts of manyHBCUs disproportionately impacted by the global pandemic.Two areas that are critical for higher education institutions related to science, technology,engineering, and mathematics (STEM) education are (1) the role they play in broadening theparticipation of historically excluded individuals and (2) research activity, particularly
in civil engineering programs and the limitedawareness of PtD among professionals and faculty members. The limited educational materialsand awareness may also contribute to the hesitation and create uncertainty among constructionproject stakeholders, including civil engineers, about the PtD process and how to utilize it.IntroductionThe construction industry is known for its hazardous working environment. On average, constructionworkers are 5.5 times more likely to get killed than workers from other sectors [1]. Designing foroccupational hazards and dangers is the most efficient technique to protect workers, considering itincorporates preventative measures into all designs that have an influence on workers [2]. Thesafeguards are arranged from
Engineering Education, 2024 Prioritizing learning outcomes for chemical engineering laboratory courses: Student perspectivesAbstractUndergraduate laboratories are an integral component of most engineering programs, playing apivotal role in integrating hands-on application of theory as well as building other skills forfuture engineers. Previous work by Feisel and Rosa [1] suggested thirteen learning outcomes thatcan be covered in engineering laboratory courses; however, two potential barriers make usingthese outcomes in chemical engineering laboratory courses challenging: (a) Feisel and Rosa’slearning outcomes are not targeted specifically to chemical engineering or to the needs ofstakeholders within the chemical
tasks or work elements.The problem is further complicated by the relationships among tasks imposed by product designand process technologies. This is called the precedence relationship which specifies the order inwhich the work elements must be performed in the assembly process. These elements can besummarized by a precedence diagram. It contains a node for each task, node weights for the tasktimes, arcs the direct and paths for the indirect precedence constraints. A Precedence Diagram islike a flow process diagram with shapes and arrows describing significant and critical stepswithin assembly of the product. Figure 1 A Typical Precedence DiagramFigure 1 shows a precedence diagram with n = 12 tasks having task times
experiences, and learn to articulate their skills in ways that will resonatewith employers.BackgroundAs part of the College of Engineering’s strategic visioning in 2018, one of the areas of focus wasexperiential learning [1-3]. The team researched the impact of experiential learning, surveyedfaculty activity related to experiential learning, and scanned the landscape of experientiallearning opportunities for students. One of the important things the team found was that therewere a lot of - and a wide variety of - experiential learning opportunities for students.Additionally, over 95% of graduating seniors reported involvement with at least one type ofexperience, so adding more possible experiences didn’t seem to be the issue.At the same time, it was
) Project is intendedto lay the groundwork for further research and development by 1) identifying indicators ofsuccessful model implementation, 2) assessing the feasibility of implementing the curriculum inrural science, technology, engineering and mathematics (STEM) secondary classrooms, and 3)collecting initial data on the program’s effect on the classroom environment and student’sengagement and interest in engineering. To meet this objective, the research team employed aniterative cycle of development review, testing and revision of the various program components. Over the last two years of this NSF BPE grant, the program team (engineering faculty andengineering students from rural high-schools, a nonprofit, research partner and advisory
participated in the same program before the facilitator role wasdeveloped. The paper finishes with lessons learned and recommendations for implementingsimilar practices, regardless of program type.BackgroundWithin academia, as shifts happen from traditional educational models to more innovativemodels, there is a need to revisit student needs when it comes to their support. While professorshave traditionally been thought of as the main support for students throughout the navigation oftheir undergraduate education, mentorship and advising roles do not traditionally translate wellto expected job duties, especially within traditional tenure and promotion pathways [1].Professors just do not have the capacity to balance full student support; life coaching
meeting the rapidly changingdemands and innovations [1], [2]. Amongst these changes, in commercial subsonic tube-and-wing transports, we see the emergence of aircraft designed with slimmer and longer wingsdesigned to reduce the drag caused from airflow over the body while improving overall fuelefficiency. Besides the wings, aircraft fuselages, or the bodies that carry the payload, areundergoing design changes that increase internal space and allow for varying cabinconfigurations while incorporating improvements in aircraft performance and alternative fuel andpropulsion systems. Aluminum has long been a common material in aircraft; however, theintroduction of composites and lighter materials is proposed as a means to minimize fuelconsumption and
program curriculum and data science competencies used in this study wereidentified in an earlier study [4], which examined 136 colleges and their undergraduate DataScience degree program curriculum. The competencies detailed in Table 1 are drawn from theData Science Task Force of the Association of Computing Machinery (ACM) report[4], whichidentified 11 core data science competencies shown in Table 1. Table 1: Data Science Competencies and Sub-topics by 2021 ACM Data Science Task Force ACM Data Science Task Force Report Competencies1. Analysis and Presentation 7. DataPrivacy, Security, Integrity, and Analysis for ● Foundational considerations
connectedness and interdependence ofworld cultures and economies. With the Information Age, globalization went into overdrive.Advances in computer and communication technology launched a new global era and redefinedwhat it meant to be “connected” [1]. Over recent years, the engineering field, among others, haswitnessed the power of connectedness as a catalyst for breakthroughs. Often these breakthroughsresult from cultural exchanges - the process of sharing and experiencing ideas, knowledge, andpractices across different cultures [2]. Specific to engineering, the cultural exchanges create amelting pot of ideas and influences from around the world through bringing togetherprofessionals from diverse backgrounds. Yet, bringing together individuals from
uncover strategies employed by exemplary engineeringinstructors providing practical insights. Ultimately, it seeks to contribute to the ongoing dialogueon effective teaching practices, encouraging a shift towards an educational future where studentsactively engage in their knowledge-building journey.Significant effort has been devoted to refining the concept of effective teaching and achievingpedagogical mastery [1], [2]. Over the last two decades, there has been extensive research onstudent-centered teaching, particularly in engineering. Active learning pedagogies, such as just-in-time teaching, case-based teaching, and collaborative learning, have gained prominence forengaging students in the learning process [3], [4]. However, Streveler and
Research Professor and the Director of Assessment and Instructional Support in the Leonhard Center at Penn State. ©American Society for Engineering Education, 2024 Lessons Learned: Mental Health Initiatives for Engineering Faculty This “Lessons Learned” paper seeks to share insights gained over the last year at anengineering-focused faculty development teaching and learning center (TLC) for the Collegeof Engineering (COE) at a large, historically White, R-1 institution located in the EasternUnited States. Specifically, the TLC sought to go beyond the traditional role of a TLC ofincreasing skills related to teaching practices of faculty, and intentionally focused on alsoincreasing skills and resources
students receiving D’s, F’s or W’s droppedby half, while the fraction of students receiving A’s increased by seven percentage points.BackgroundThe concept of active learning strategies has been defined by Prince as “any instructional methodthat engages students in the learning process. In short, active learning requires students to domeaningful learning activities and think about what they are doing” [1]. Additionally, acomment made by Beheshti in a webinar describing best practices for delivering on-lineengineering courses during the Covid-19 pandemic succinctly summarizes the reason why activelearning strategies are effective: “the one who does the work does the learning” [2].After working in the energy industry for more than 30 years, in 2018
Systems), Advisor for Engineers Without Borders (EWB) Purdue and CE 4 ©American Society for Engineering Education, 2024 Lessons Learned through Multi-Year Team Teaching of an Engineering Course for Pre- College StudentsABSTRACTTeam teaching or co-teaching has been present in the K-12 systems for decades and has recentlybecome more common in higher education. Team teaching has been proven effective inimproving student’s knowledge of the subject, increasing student satisfaction due to greaterinstructor support, and increasing positive perceptions associated with the course [1], [2]. Studiesalso suggest that team teaching can enhance instructors’ professional development by providinga
: delayed enrollment into college, part-time enrollment, financialindependence, full-time employment while enrolled in college, have dependents, is a singleparent, and/or did not receive a standard high school diploma [1][2]. NCES also includesstudents over the age of 24 as one of the characteristics of NTS [2].NTS population is increasing as students are attending college on a part-time basis and are takingup part-time or full-time jobs. From 2010 to 2017, part-time student attendance increased from37.7% to 38.9%, and a projected 39.6% growth by 2028 [3]. In 2020, 40% of undergraduatestudents who were attending college on a full-time basis were also employed full-time, indicatinga considerable NTS population [4].NTS make up over 50% of the
Engineering Education, 2024 Lessons Learned: Faculty Development Book Club to Promote Reflection among Engineering Faculty on Mental Health of StudentsIntroductionIt is a real difficult challenge walking through this world full of monsters when our own bodies and minds can be monstrous. - Sarah Rose CavanaghIn universities around the U.S., mental health issues are on the rise [1], [2], [3]. College studentsare at increased mental health risks due to major mental health problems manifesting during earlyadulthood [4], and significant life changes (e.g., changes in independence, environment, and socialsupport, academic pressures/competition) [5], [6]. While
. Farmers are providedwith water level visualization tools accessible on mobile devices that provide a comprehensibleoverview of the water levels over a period of time. As well, intelligent notifications alert farmers toany anomalies or failures, enabling quick intervention to minimize downtime and prevent cropdamage. Future expansion options for this solution are discussed, such as integration of weatherforecasts and live weather data and sensors' deployment in fuel reservoirs to ensure the pump canrun optimally.Key words: IoT, LoRa, Sensors, Smart Agriculture, Water Management 1. IntroductionThe rising prevalence of Internet of Things (IoT) devices is reshaping industries [1]. One keyadvantage is enhanced efficiency and automation, as IoT
theoreticalconcepts in practice.1. IntroductionThe use of hands-on learning devices is a well-accepted instruction method in the active learningdomain [1-6]. It allows students to engage directly with the subject matter which enhancesunderstanding, retention, knowledge, and skills. In addition, hands-on devices provideopportunities to apply theoretical concepts in real-world scenarios that help students bridge thegap between theory and practice, allowing learners to develop practical skills and gain valuablereal-life experiences. Moreover, hands-on projects often involve tackling real-life problems thatnurture critical thinking, problem-solving, and decision-making skills as learners navigate throughobstacles and seek innovative solutions. Furthermore, hands
; teaching ES technical conventions; and building capacityfor project management and project documentation. Engineering students become more accuratein their evaluations of Technical Writing (TW), and better able to distinguish effective andineffective TW after working with these tools. Lastly, teaching students to use ML writing toolsallow engineering educators to effectively promote these learning outcomes in novel ways, whilesupporting professional preparation.1. BackgroundMany higher education institutions are penalizing or restricting students’ use of ArtificialIntelligence (AI) tools at the same time that professors and STEM practitioners are leveragingthem in practical ways. As higher education seeks to identify, control, and in some
al. (2005), ethical leadership refers to “the demonstration ofnormatively appropriate conduct through personal actions and interpersonal relationships, andthe promotion of such conduct to followers through two-way communication, reinforcement, anddecision-making” (p. 120). The researchers developed and validated a ten-item scale to measureethical leadership, which is shown in Table 1. The scale relies on data reported by a followerabout their perceptions of a leader’s commitment to ethics. Table 1: Ethical Leadership Scale My leader conducts his or her personal life in an ethical manner. My leader defines success not just by results but also the way that they are obtained. My leader listens to what employees have to say. My leader
studies [1-3]. Yet, the opportunities to develop, sustain, and grow one’sengineering identity are not uniformly distributed across students enrolled in engineering programs, nor evenamong those select students offered the opportunities to participate in mentored engineering researchinterventions [4]. Indeed, engineering students from underrepresented and structurally marginalized groups may have feweraccess points to engage with engineering peers, mentors, and professionals prior to and during their collegiatestudies [5-7]. These challenges can compound for students who may be underrepresented on multipledimensions in this field, seeing their personal identities reflected less often in their intended engineering careers(e.g., gender, sexuality