their courses. In the research-to-practice cycle, instructors would informthemselves about innovative practices emerging from others’ research, improve teaching plansdrawing on new information, and assess student outcomes and feed back successful practices(and lessons learned) to the research community. This paradigm has a historical root in modelingengineering education after traditional sciences that have greater consensus on theories andmethods, with the goal of elevating engineering education practice to “research” that isgeneralizable and transferable [1]. Research in the wider institutional context, such as in themandate for institutional review boards (IRBs) in the US, is further understood as “a systematicinvestigation […] to develop or
needed help to struggling students is,particularly, important. For higher education institutions, early detection of at-risk students isessential for planning and providing the appropriate remedial services that students need in atimely manner.Various approaches to student performance prediction have been explored. Some studies requiredesigning specific randomized experiments [1], [2], [4], [6], while others, like this study, focuson utilizing data gathered by ubiquitous Learning Management Systems (LMSs) based onstudent activities and interactions with course materials [3], [8], [9]. Additionally, some studiesaim to evaluate the efficacy of certain teaching methodologies [4], [5], while others seek toidentify problems early in the semester to
, a creation method of source media was utilized where the participants wereinvited to look at the inherent performativity of various objects and how in a devised processthose objects could be used to create a totally new performance. In practice, the same principleswere used, but instead, the emphasis was placed on how those objects could be used as a startingpoint to innovatively create an enhanced or completely new object that could function moreeffectively than the original object. The workshop was completed in three main steps:1. Introduction: The participating artist introduced themselves and showed a few brief YouTube videos that demonstrate the use of a source object to inform performance. The source object the artist focused on
- to three-day exam period. Over 85% of students reported that oral examinations were moresuited to design courses rather than analysis courses. From the results of this study, it appearsthat oral examinations have a valuable role in engineering education, especially in designcourses.BACKGROUNDRoles of Oral ExamsOral examinations serve two roles in engineering courses. First, oral examinations allow studentsto practice oral communication skills. Oral communication skills are important for engineers [1].Seventy percent of practicing engineers in one survey identified oral communication in theworkplace as important in job advancement [2]. As an indication of the importance of oralcommunication in environmental engineering, the American
practice. The details of the methodology are shown in Figure 1. Stage I - Planning the review Phase 0 Identification of the need for a review Phase 1 Preparation of a proposal for a review Phase 2 Development of a review protocol Stage II - Conducting a review Phase 3 Identification of research Phase 4 Selection of studies Phase 5 Study quality assessment Phase 6 Data extraction and monitoring progress Phase 7 Data synthesis Stage III - Reporting and dissemination Phase 8 The report and recommendations
Paper ID #43224Optimizing Employment Quality of College Engineering Students: The CrucialRole of School-Based Career Guidance and ReadinessJun ZhuMr. SUN TIEMIN, Beijing Foreign Studies University Master candidate, specializing in the research field of college students’ employment.jiayao sunFangyuan Chai ©American Society for Engineering Education, 2024 Optimizing Employment Quality of College Engineering Students: The Crucial Role of School-Based Career Guidance and Readiness Jun Zhu1, Tiemin Sun1, Jiayao Sun1, Fangyuan Chai1 1 Graduate School of Education, Beijing Foreign Studies University
complexity of the OTP problem is analyzed, which is shown to be N P-complete.Following this, an integer quadratic programming approximation algorithm is proposed for theOTP problem. Experiments involving transfers between two Arizona institutions are conducted todemonstrate the efficacy of the proposed algorithm.The Optimal Transfer Pathway ProblemIn the Optimal Transfer Pathway (OTP) problem, the input consists of: 1. A Boolean formula (requirements tree) representing the complete set of degree requirements from community college CC associated with a particular associate degree, denoted AD, 2. A map of transfer equivalences that details how all courses offered at CC transfer (or not) to courses at university U , and 3. A Boolean
physical SIGMA lab, aims to trainstudents with cutting-edge technologies and manufacturing processes. This course projectfocuses on optimizing users’ workforce training experience, one key component of humanfactors engineering research in Industrial Engineering (IE). Including cutting-edge technologylike additive manufacturing allows IE students to explore improved and advanced opportunitiesfor efficient and productive manufacturing.Virtual Reality (VR) is a technological innovation that immerses individuals into a virtualenvironment (VE), creating a sensation of presence despite their physical absence [1, 2]. Overthe past few decades, fully immersive virtual reality (VR) has gained popularity as a method oftraining and collaboration. In recent
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