prepared for real-world engineering application.IntroductionIn many courses required for the engineering curriculum, students complete “textbook” problemsthat require following a standard procedure to apply relevant equations to solve [1]. Theseproblems are well-defined with one single correct answer that typically can only be reachedthrough one solution path. While these problems regularly fulfill the curriculum requirements,they do not necessarily prepare students for work as an engineer outside of academia [2], [3], [4].Ethnographic studies of engineers in the workplace show that well-defined problems like theseare not encountered in the engineering profession; rather, professional engineers solveill-defined, complex problems in which the core
Chapter of the National Society of Black Engineers (NSBE).Dr. Anne M Lucietto, Purdue University, West Lafayette Dr. Lucietto has focused her research in engineering technology education and the understanding of engineering technology students. She teaches in an active learning style which engages and develops practical skills in the students. Currently she is explo ©American Society for Engineering Education, 2024 Understanding why some African American Students Chose Engineering Technology over Engineering and the Implications of this ChoiceA. IntroductionAccording to data from the American Society for Engineering Education (ASEE) [1], theenrollment in both bachelor’s and master’s
community colleges holds great potential in contributingto the desired diversification of the engineering workforce[1]. However, transfer studentscommonly experience a “transfer shock” when transitioning from community colleges to four-year bachelor-degree awarding institutions. They need to learn to navigate a new environment[2] and often struggle to gain access to departments, people and guidance to help them with thistransition [3,4]. Due to the fact that they are also joining already existing social networks, theyoften also experience a lack of personal relationships with faculty and a lack of social integrationinto their peer group [3,4]. All these extra challenges can affect their academic achievement,retention, and degree attainment
an active member of IEEE (senior) and ASEE.Kelly J Cunningham ©American Society for Engineering Education, 2024 What Works: Intra-Institutional Partnerships and Processes for S-STEM Recruitment1 AbstractScholarships in Science Technology Engineering and Math (S-STEM) is a national programadministered by the National Science Foundation (NSF). The purpose of the S-STEM programis to provide scholarships and programming to recruit, retain and graduate low-income scholarsin STEM disciplines. S-STEM offers grants in three tracks: Track 1, Institutional CapacityBuilding; Track 2, Implementation by a Single Institution; and Track 3, Inter-InstitutionalConsortia. Currently, West
links between student'spsychological state of mind and their academic performance and persistence over the course of asemester in a Statics class. It is well known that students perceive Statics as a "threshold" or"weed out" class due to its low passing rates [1, 2] that are often below 70%. Students who areunable to pass the course may ultimately withdraw from an engineering major. As a result,persistence and retention in engineering is hampered, which is typically magnified inunderrepresented groups.The primary goal of this research is to identify links between students' self-efficacy, motivation,emotional states, and other factors that may serve as early-warning indicators of dropout. Theresearch is based, in part, on the fundamental concept
Alignment of Community Engagement in STEM (SPACES) is acollaborative research effort under the National Science Foundation’s ADVANCE program. Theoverarching goal of SPACES is to build an inclusive academic culture to address intersectionalgender-race-ethnicity inequities in Environmental Engineering (EnvE) via the application ofevidence-based strategies for systemic change. The two main thrusts of the project are to addresssystemic problems that cause: (1) underrepresented minority women faculty (URMWF)experiences of isolation in and/or departures from STEM academia and (2) the devaluation ofresearch conducted by URMWF, especially community-engaged research (CER). SPACES is acollaborative effort of faculty and administrators from 11 universities
centered on manufacturing. 1–4 However, no sites until now have focused on introducing teachers tomanufacturing in the southeastern US and investigated regionally-important questions related to workforcedevelopment, teacher learning and professional development, and post-secondary educational pathways.Therefore a new RET site was nucleated within the southeastern US in South Carolina, where there hasbeen a 17.51% increase in manufacturing establishments between 1990 and 2019.5 A significant increasein the manufacturing in this state has been due to the increase in the manufacturing of transportationequipment.5This RET program was designed to increase teacher participant’s knowledge about the multiple careerpathways in manufacturing and increase
techindustries. The development of AI technology not only transformed it into a powerful tool but alsopaved the way for its integration into various fields of technology, expanding possibilities andrevolutionizing research and development [1]. In the dynamic domain of AI technology, racinggames emerge as a captivating platform for experimentation which offers a safe, cost-effective,and efficient environment for pushing the boundaries of both game development and AIdevelopment [2-3]. With the progression of AI, many companies are striving to implement it intotheir technology and machines, especially in cars [4-5]. Because of this, there is a high demand forexperimentation and research in this field to ensure safety and optimization [6]. As the
learning experiencesbased on learners’ goals and performance criteria [1]. To support ISD, numerous AI sites areemerging to support educators in the design process from learning objective creation to lessonplanning to assessment development [2], [3], [4].Recent studies have explored or demonstrated how GAI tools could streamline and enhanceinstructional design. Thompson et al. [5] predicted that integrating AI into course design will“lead to enhanced student learning outcomes, engagement, active participation, and learningapproach.” Chng [6] compared current methods of design (human-only) with an AI-enabledapproach and noted AI’s potential to improve the design process: “The introduction of AI intohuman processes has the potential to streamline
with ’SAMCares: An Adaptive Learning Hub’ Syed Hasib Akhter Faruqui1,∗ , Nazia Tasnim2 , Iftekhar Ibne Basith1 , Suleiman Obeidat1 , Faruk Yildiz1 1 Engineering Technology, Sam Houston State University 2 College of Education, University of Texas at Austin ∗ Corresponding AuthorAbstractLearning never ends, and there is no age limit to grow yourself. However, the educational land-scape may face challenges in effectively catering to students’ inclusion and diverse learning needs.These students should have access to state-of-the-art methods for lecture delivery, online
revealed 99.7% of matches as valid, indicating mentors and mentees sharedtwo or more similarities.IntroductionSuccessful mentorship in engineering education by Akerele, Vermeulen, and Marnewick [1],demonstrates the pivotal role of mentorship in transforming theoretical knowledge into practicalskills. A study published in the International Journal for Academic Development indicates thatstudents with mentors exhibit a higher likelihood of successfully completing their engineeringdegrees and actively pursuing careers in the field [2]. In response to the limitations of existingresources, MentorMate introduces an automated solution with a matching algorithm aimed atsimplifying and expediting the mentorship process. Our objective is to devise an
relevant, basedon the input it receives. Released on November 30, 2022, ChatGPT represents a significantadvancement in Natural Language Processing (NLP). NLP is a specialized field in AI thatfocuses on enabling machines to understand, interpret, and even replicate human language in away that is both meaningful and accurate [1]. This technology enables ChatGPT to perform avariety of tasks, such as answering questions, writing essays, or even composing poetry, all byinterpreting and responding to the prompts given by users. In the context of engineering education, the adaptation to evolving technology andpedagogical methods is vital for keeping pace with the latest technological advancements andmeeting the evolving needs and demands of the
Using Generative AI for Reducing Faculty Workload in Online Engineering CoursesAbstractWIP. The demand for high-quality online engineering courses and credentials is surging, drivenby the upskilling and reskilling needs of industry partners and engineers with 8-10 years ofexperience. Creating accessible, top-tier online courses requires producing exceptional videos,transcripts, and content segmented appropriately for optimal student learning [1]. Beyond lecturepreparation, faculty are often tasked with creating well-designed slides and assessments toengage students and measure learning. Despite the support of instructional designers in manyinstitutions, this multifaceted process presents a significant challenge for
focused on the design and manufacture of MEMS in both silicon and polymers. He is currently interested in innovative, student-centered teaching methods including problem-based and flipping teaching. ©American Society for Engineering Education, 2024 Effectiveness and Utility of Video Feedback for CAD ModelsIntroductionFeedback on student work has been shown to be essential to student improvement andachievement [1]. At the same time, not all feedback is effective [2]. The mode and manner offeedback directly impacts student outcomes[3]. This was brought to the fore during the COVIDpandemic when instructors shifted their lecture and discussion online. Although instructorsquickly pivoted to online
from each paper, prompts they provided relevant to the application, and details ofany study they conducted to explore the efficacy of the proposed application (e.g., researchdesign and subjects). This review aims to highlight promising work using LLMs in engineeringand computing education that provides more "out of the box" applications to try in classrooms. IntroductionAs seen in the myriad opinion pieces and articles in the popular press, students are leveraginggenerative AI models such as ChatGPT to complete their assignments [1], [2], [3] – bringingdiscussions of academic dishonesty to the forefront, much to the concern of instructors [4], [5],[6]. However, using LLMs like ChatGPT is not entirely
a student-centered learningexperience. This study aims to investigate how playing emotionally engaging video gamesaffects long-term knowledge retention and emotional responses when compared to traditionallearning methods or the passive reading of information.BackgroundDigital games provide rich media content and engaging action, accessible individually or ingroups collaborating or competing against each other, making them promising for use as astimulus in research settings [1]. Playing digital games involves intricate behaviors that mayrequire different cognitive and emotional processes depending on the game's design.Consequently, games offer a great medium to explore various psychological concepts, such asmemory retention, social aptitude
students. However, giventhat these institutions consist almost completely of engineering students, they are more akin tostandalone versions of the engineering schools that normally fall under the umbrella of a largeruniversity when it comes to size and mission.Some liberal arts colleges (typically highly selective institutions such as Swarthmore College[1])have long embraced engineering, offering full bachelor’s degrees. Another common strategy isto partner with universities to offer hybrid degree programs where the student starts theireducation at the liberal arts school and completes it at the university. While specific details ofthese programs vary, a common model is for the student to take three years of foundationalcoursework at the liberal
speeches. It involves analyzing a speaker's tone, pitch, tempo, andvolume to determine their emotional state. This process is complex as it requires not only wordrecognition but also an understanding of the delivery that reflects various emotional states [1].In utterance-level SER, emotions are classified for an entire spoken utterance, typically acomplete thought or statement. Here the emotions are considered as attributes of the wholeutterance, disregarding the temporal variations within it. The goal is to identify the dominantemotion conveyed in the utterance.Frame-level SER delves into a more detailed analysis by breaking the speech into smallersegments, often milliseconds long [2]. This approach allows the detection of emotional changeswithin
active learning to, instead, consideringthe ways in which the disciplinary community can provide support in shifting activity systems toresolve contradictions and achieve transformation.IntroductionDecades of research into reform teaching practices have shown that active learning improvesstudent outcomes [1]-[4]. However, many STEM classes are still primarily passive, with lectureas the main teaching method [5]-[7]. One often-cited reason for this discrepancy is that studentsare “resistant” to active learning pedagogies [8]-[12]. Faculty, too, are reported to be resistant toadopting these pedagogies, sometimes because of the conflicting claims on faculty time [13] in adivergent rewards system [14], [15] in which teaching is (or at least, is
with the specific focus of each survey section, we aimed toensure the relevance and coherence of our assessment tools. This alignment provides a clearerframework for understanding the survey results and reflects the complexity and interconnectednessof sustainability in engineering education.Research Questions: 1. Impact of Active Learning Approaches: How are active learning strategies and hands- on curricular implementations in engineering classrooms related to changes observed in undergraduate engineering students' responses in a six-section pre-post sustainability survey and their open-ended feedback? 2. Comparative Analysis Across Disciplines: How do the pre-post sustainability survey results differ among students
: Origins and Implications of an Approach to Responsible Tech DevelopmentThe Multiplicity of “Stewardship”Technological stewardship, or “tech stewardship,” is a concept used by some engineeringeducators as part of strategies to encourage responsible technological development. In thecontext of Canadian engineering education, the most prominent use of this term is in the TechStewardship Practice Program (TSPP), an online course in which several thousandparticipants - largely undergraduate engineering students at Canadian universities – haveenrolled since 2021 [1].The TSPP positions the term “tech stewardship” as “professional identity, orientation, andpractice” with the goal of “bend[ing] the arc of technology towards good,” [2
-developed by two graduate students and aprofessor/researcher in science education and in the Neag School of EducationCorsi-Rosenthal Box Learning Modules © 2023 by Aaron Richardson, Jannatul Anika, Todd Campbell is licensedunder CC BY-NC 4.0 Grade 5 Unit PlanUnit Author(s): Aaron Richardson, Jannatul Anika, Todd CampbellUnit Title: Corsi-Rosenthal Air Filtration BoxScience Area Focus: Engineering, Earth and Life Sciences STAGE 1: PLANNING FOR ENGAGEMENT WITH IMPORTANT SCIENCE IDEASPART A: Unpack the Standards. This is completed by reviewing the Framework for K-12Science Education to identify the Disciplinary Core Ideas (DCI), DCI Progressions, andPerformance
©American Society for Engineering Education, 2024Countering Passive Engagement: STS Postures and Analyzing Student Agency in Everyday EngineeringAbstract “A culture of disengagement” is what Erin Cech [1, see also 4,9] has named the phenomenonthat, within engineering schools, students graduate with less interest in societal issues than whenthey arrive. Much of this disengagement is attributed to mindsets ([2]: centrality of military andcorporate organizations, uncritical acceptance of authority, technical narrowness, positivism andthe myth of objectivity) and ideologies ([1]: technical-social dualism, depoliticization,meritocracy) that create a socio-technical divide that encourages many students to marginalizesocial issues related
University in Japan in 2002. She is currently a Professor in the Innovative Global Program, a research-based full English degree engineering program at the College of Engineering at Shibaura Institute of Technology, Tokyo, Japan. She is a Principal Investigator of the Japan Society for the Promotion of Science Research Grants 24K06133 and the Shibaura Institute of Technology Grants for Educational Reform and Research Activity in the AY2024. Her current main research interests are: 1) how including humanities courses in an engineering education curriculum can help students to gain flexibility, and an appreciation of equity, and a greater richness of ideas; and 2) systematic issues impacting the effectiveness of engineering
that drive herinterest in engineering, investigate the impact of her familial background, and assess the impactof her involvement in extracurricular activities, specifically her involvement through the summerresearch experience at a four-year college in the southeast region of the US. This study iscentered on a single case study, which is herself. In line with this study, the guiding researchquestions are: (1) What fundamental factors drive Mira’s interest in engineering? (2) Whatchallenges does Mira face, and how do they affect her personal and professional development?And (3) how do diversity and representation affect Mira’s experiences and career paths in STEMfields? This study employed an auto-ethnographic approach. The purpose of
, curriculum, systems mapping, light-weighting, circulareconomy, lean manufacturing, linear economy, diversity, equity, inclusion (DEI)1. INTRODUCTION:There is a race to meet the ever-growing demand for consumable products that improve quality of life whichhas led to indiscriminate use of limited natural resources and production of waste [1, 2]. Waste such aselectronics, packaging from single-use products, construction materials, manufacturing scraps contribute toever-growing landfills [3, 4]. Manufacturers resist implementation of sustainable manufacturing practicesbecause it takes time, resources and money to overhaul current engineering systems and practices.Sustainable manufacturing can be realized through extended product lifespan, increased
Potential of 'Innovation Through Making' in Engineering Education 1. Introduction:In the rapidly evolving landscape of engineering education, there is a pressing need to producegraduates equipped to navigate the complexities of a dynamic global environment. Withtechnology advancing at an unprecedented pace, it is predicted that 85% of jobs that will exist in2030 have not yet been invented [1]. This evolution demands a learning paradigm whereindividuals acquire skills "in-the-moment," leverage new technologies to adapt quickly, embracefailure, and develop timeless competencies for lifelong learning.Despite these evolving educational demands, a considerable gap remains in adequately preparingstudents with the requisite skills for the
framework's impact relied on servicehours, outreach scales, and feedback collected during the summer camps.The analysis confirmed the framework's effectiveness in enhancing students'technical and soft skills, sustaining their interest in STEM, improving teamperformances, and fostering an inclusive community for collaboration. The LPSframework offers students flexibility in developing their skill sets and has beenproven to be sustainable, transformable, and scalable for integration into K-12thengineering curriculum and extracurricular programs.IntroductionRobotics has been identified as an interdisciplinary field encompassing electrical components,computer vision, mechanics, cognitive science, and artificial intelligence [1-5]. Innovation inrobotics
industry. The National Association ofColleges and Employers (NACE) reinforces this, highlighting communication as a criticalcompetency for career readiness. The NACE Career Competencies include Critical Thinking,Communication, Teamwork, Technology, Leadership, Professionalism, Career and Self-Development, and Equity and Inclusion. NACE advocates for skills like active listening,persuasion, and adapting to diverse communication styles [1]. These communication skillsbecome even more valuable when young professionals convey complex scientific ideas, fosterinnovation, and collaborate in the workplace. Employers recognize this skill as vital for thrivingin today's diverse professional environment. Therefore, by excelling in scientific communication
. ©American Society for Engineering Education, 2024 1 Cultural Adaptation and Advising Dynamics: Insights from International Engineering Graduate StudentsAbstractThis research study is step one in exploring cultural considerations affecting advising dynamicsbetween advisors and international Ph.D. students in engineering disciplines in the United States.The study draws from the Intercultural Competence Framework as the theoretical lens. It collectsdata from four international PhD students in engineering at one public institution by employingsemi-structured interviews. Further, the results concentrate on the need to