) 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
mechanical engineering courses with sustainability and the percentage ofBachelor’s degrees earned by females when relationships were explored within single states andeither public or private institutions. This preliminary work suggests that sustainability may helpattract and retain female students to mechanical engineering, sparking interest in future research.IntroductionMechanical engineers can play an important role in contributing to a sustainable future [1, 2].Key concepts in sustainability include environmental impacts (over the cradle to grave lifecycleincluding greenhouse gas emissions, natural resource conservation, pollution minimization,energy issues), societal impacts (poverty alleviation, safety), and economics. Many institutionsoffer
extends beyond examining conventional forms of peermentoring by examining the work of peer mentors supporting students’ work in a first-yearengineering design course based in a makerspace classroom. The problems students solve in themakerspace classroom-based course typically have a wide array of possible solutions, whichdiffers from many problems students solve in traditional courses with peer mentor support.Further, students in the makerspace classroom-based course are also expected to work in teams,which adds another layer of complexity to the role of the peer mentors working in the course.Review of LiteratureSocial SkillsSocial skills are critical for the success of professional engineers [1, 2]. Because the developmentand expressions of
individualism andexceptionalism through the interdisciplinary and theoretical lens of Critical Race Theory andCritical Whiteness Studies has highlighted the ways Whiteness has flourished, particularly inengineering, and helped support these two pillars of Whiteness. Thus, through a historicallycontextualized interdisciplinary analysis, we seek to shift the conversation to focus onquestioning the ways Whiteness affects pedagogy and research conducted in engineeringeducation research.Introduction White supremacy has a firm grip on engineering and engineering education research.However, in order to show “The Enduring, Invisible, and Ubiquitous Centrality of Whiteness,”[1], we will provide a funneled context that will demonstrate to the reader how
evaluation of the program’s newly launched undergraduate design studiocourse.1 This involved conducting nine months of ethnographic research involving interviewswith faculty and administrators involved in the program’s initial design, observations ofclassroom activities, and follow up interviews and focus groups with the first cohort of students.In the process we gathered insights that provided feedback to faculty and staff that could helpfurther develop the curricular aims of the program, while also theorizing through ourethnographic project how external evaluations can contribute to the development oftransdisciplinary learning communities in higher education. Our external evaluation activity ispresented here as a case study that considers how
Knowledge creation and synthesis are the core of research. How we engage in research orknowledge creation is deeply intertwined with our experiences and the language we use to makesense of the world around us. For us, the co-authors of this paper, the triad concept of Kaya(Body), Vacha (Speech), and Manas (Mind) in the Indian philosophy of ethics and spiritualitypoints to the interdependence of experience, language, and knowledge. Lakoff and Johnson [1]present the same idea as the core motivation for their germinal book Metaphors We Live By; theysuggest that dominant views on meaning-making in Western philosophy and linguistics areinadequate for the way we understand our world and ourselves. They propose that our languageshapes the way we think
wellbeing and equity, diversity and inclusion (EDI) issues in engineering education andthe broader engineering profession. ©American Society for Engineering Education, 2024 Methodologies for evaluating the impact of STEM outreach on historically marginalized groups in engineering: a systematic literature reviewIntroduction and BackgroundAs a form of informal science learning [1], STEM (Science, Technology, Engineering, andMathematics) outreach activities involve the delivery of “STEM content outside of thetraditional student/teacher relationship to STEM stakeholders (students, parents, teachers…) inorder to support and increase the understanding, awareness, and interest in STEM disciplines”[2]. In the K-12 out-of-school
purpose of this practice paper is to suggest a mechanical engineering reasoning diagram(MERD) for equitable teaching in writing-intensive engineering labs 1. Reasoning diagrams aredesigned to describe concepts and the relationships among these concepts in a structured andvisual way. In order to facilitate engineering thinking among undergraduates, a MERD wasdeveloped in this study to capture engineer experts' narratives about their projects and the logicof key Mechanical Engineering (ME) concepts. The model of engineering thinking would alsodemonstrate rhetorical moves of the technical writing process of engineering; this mentalmodeling relates metacognitive knowledge to disciplinary writing. A more explicit way ofteaching lab writing might have
outcomes revealed a higher correlation than homeworkassessments, highlighting the predictive value of such assessments for academic success. Pre/postlecture assessment enables immediate student feedback and the instructor's use of their input forteaching improvements underscores the potential to enhance educational strategies and supportstudent learning. Ultimately, the study advocates for incorporating pre- and post-lectureassessments in courses. This dual benefit approach not only aids students in enhancing theirlearning experience but also provides instructors with early indicators to identify and assiststudents who may need additional support.Figure 1. Integrating Pre/Post Lecture Self-Assessments of Lecture Learning Outcome withBloom's
recognition of the importance of diversity and inclusion in engineering education hasgrown in recent years [1], little is known about the best practices for supporting neurodiversestudents [2-3]. It has been suggested that neurodiverse students benefit from course assessmentsthat allow for a more flexible mode of expressing knowledge [3]. However, evidence forimproved learning outcomes on different types of course assessments is largely anecdotal.Characteristics associated with different forms of neurodiversity, such as attention deficithyperactivity disorder (ADHD), autism spectrum, depression, and anxiety, are suggested to benormally distributed in the population [2]. Indeed, research suggests that these conditions arebest conceptualized as
discourse ondiversity, equity, and inclusion in engineering. Nonbinary and trans* students are rarely even thefocus of research centering on LGBTQ+ student experiences in larger fields such as STEMeducation and higher education studies. Their exclusion can be attributed, in part, to the lack ofdata collected in large national datasets [1], [2], [3]. For instance, the National ScienceFoundation (NSF) has received multiple open letters requesting that NSF collect nonbinary andtransgender identities in their Survey of Earned Doctorates and NSF Center for Science andEngineering Statistics surveys [4], [5], [6]. But the release of the 2024 Survey of EarnedDoctorates revealed they had not heeded these calls; it also omits sexual orientation altogether[7
academy to improve engineering education within the field and across disciplines. ©American Society for Engineering Education, 2024 Not for the Poor: Impacts of COVID-19 on Engineering Students from Lower Socioeconomic BackgroundsIntroductionLike many other fields, engineering is working to become more diverse. Part of this effort includessupporting students pursuing a field who do not fit the traditional archetype of an engineer [1].This outlier population is heavily composed of students who have an intersection of identities, oneof these identities being a member of a low-income household [1]. The COVID-19 pandemicevoked major changes in the lives of many individuals and
skilled professions, incoming faculty have hardly, if any, pedagogical preparation [1],especially on theoretical underpinnings of teaching and the science of how students learn.Paradigm shifts in engineering education have been focused on instructional behaviors, such asactive learning where students are provided opportunity to learn the practice of engineeringthrough “doing” [2]. Rarely do these opportunities include a focus on the relational or affectiveaspects of education, rather, they focus on design and building [2].Learning through practice is not specific to engineering education. In nursing programs, similarapproaches towards teaching and learning are utilized to engage students to learn the practice ofnursing through “doing” [2]. Both
experiencing logistical challenges. In what follows, we shareideas from the literature and from our own observations about engagement-related conflict ondesign teams, and then address the use of MR simulations in educational environments.Engagement-Related Conflict on Engineering Design TeamsTeam-based work is a fundamental tenant of design thinking and the work of an engineer; it iscritical that undergraduate engineering programs include team-based design projects throughoutthe curriculum [1]. The literature has reported on the benefits of and best practices for studentsengaged in team-based design projects [2-4]. Also addressed in the literature are challengesrelated to teamwork, especially with respect to conflicts related to interpersonal dynamics
approach [1], which labels sometraits and conditions as deficits, and where individuals who are neurodivergent (ND) areperceived as abnormal and less competent than neurotypical (NT) students. Others use socio-ecological approaches and asset models when exploring differences [2-3]. This research used theframework of neurodiversity. Neurodiversity frames different neurological conditions of thebrain and nervous system as providing affordances and posing challenges, encompassing bothindividual and social aspects [4].Conditions that are traditionally defined as neurodivergent include attention deficit hyperactivitydisorder (ADHD), autism spectrum disorder (ASD), dyslexia, dyscalculia, dysgraphia, andtrauma-related conditions such as traumatic brain