makerspaces can result inincreased collaboration, creativity, leadership, and problem solving [1], so understanding theaspects that can affect student experience is important. To understand the student staff’sstrengths in makerspaces, this work seeks to answer the research questions: • What are the assets student staff articulate through their experiences with others in the makerspace?Researchers interviewed eight student staff members at a university makerspace in theengineering building at a large university. These semi-structured interviews were analyzed usinggrounded theory techniques and qualitative methods including inductive coding to develop atheoretical framework for interactions among student staff in university maker spaces
used bystudents. It is important for faculty to have a firm understanding of how AI tools are being usedby students to write reports. Faculty perspectives differ on how AI assistance can benefitengineering students while avoiding academic dishonesty issues. Faculty will need tocommunicate the permissible and prohibited usage of AI tools in future assignments.IntroductionChatGPT, introduced in the fall of 2022, has swiftly emerged as a prominent ArtificialIntelligence (AI) chatbot, finding widespread use, including in higher education [1], [2].Engineering educators have taken notice and discussed how it is impacting a freshmanengineering course [3] and throughout engineering programs [4]. Within a few months of therelease of ChatGPT, it was
include the intersections between the teaching and learning environments; identity; and equity, diversity, inclusivity, and accessibility. ©American Society for Engineering Education, 2024 Student-generated infographics and videos for learning about professional obligations and the impact of engineering on societyIntroductionBoth professional and non-professional programs identify the importance of providing studentswith opportunities to develop professional skills as an outcome of higher education [1]-[3]. Thisis especially relevant in engineering, where accreditation bodies require engineering programs tobe designed to include professional skills development, in addition to focusing on scientific
continued use of multiple-choice tests in many courses. Specifically, inengineering courses that are heavy on problem-solving, the use of multiple-choice tests still happenas they are a route to offer quick, quantifiable results about something in that course. However,exactly what that something is and what the results represent has been debated for many years.Engineering has used multiple-choice tests in a variety of contexts. These include conceptinventory tests, course exams, and diagnostic testing. Multiple-choice tests (MCT), if the answersare well written to include quality distractors, can be a valuable form of assessment in STEMcourses [1]. There has been a high correlation between MCT and student written responses toinstructor exams if the
, especially electricalengineers, cannot be understated [1].Under these circumstances, there have been a wide variety of reported interventions through theAmerican Society of Engineering Education (ASEE) annual conference proceedings.Accordingly, becoming familiar with new interventions in teaching circuits will result inempowering instructors’ knowledge on instructional strategies and improving student learning ofcircuits concepts. Also, the need to determine the impacts that these interventions could have onstudents’ performance in the classroom has great importance as well. There have been so manystudies on how to teach electrical concepts but since the concepts taught in electrical engineeringare rather complex, more studies on methods of teaching
. ©American Society for Engineering Education, 2024TA Training at Two R1 Institutions: A comparative analysisIntroductionTeaching assistants (TAs) play a vital role in the teaching mission of higher education institutions[1], including the College of Engineering at the University of Wisconsin- Madison and ImperialCollege London. TAs are expected to fill a variety of roles: they directly instruct students indiscussions, labs, and lectures, host office hours, and complete a large portion of the formativeand summative assessment for their students [2]. While the value of these educators is evident,training is resource-intensive and there are no standardized models of training. There are,however, some examples of good practice in this area: simulator
instructorsof technical courses that are traditionally visually-based to consider possible ways to enhance theaccessibility of their curriculum.IntroductionIn 2013, the Royal National Institute for the Blind published a study highlighting several keyissues for blind individuals in regards to access to information, including inaccessible technicalnotation and visual resources, as well as teaching methods that can rely too heavily on visualconcepts [1]. These challenges can be especially difficult to overcome in highly technical fieldslike Science, Technology, Engineering, and Mathematics (STEM). While research has longindicated that blind students are interested in participating in STEM [2], recent analyses haveshown there are still notable gaps in
load conditions. These effects have complex dependencies with the geometry, shape,configuration, and material properties of the systems under study and the types, magnitudes,and mechanisms of the loads applied. Understanding and learning these relationships requiresa strong combination of spatial imagination, physical perception, and structural mechanicslaws. Traditional models for course delivery in structural mechanics rely on lectures describingthese behaviors and the underlying structural mechanics concepts using classroom illustrationsand demonstrations of members under loads in a structural laboratory. While conductinglaboratory experiments is often considered an essential method for teaching structuralmechanics theory [1], substantial
starting point for businesses and offer critical information on identifying,preventing, and responding to cyber incidents, they can be hard to navigate and implement. Tohelp with this issue, this paper identifies the most frequent attack vectors to SMBs and proposes apractical model of Knowledge, Skills, Ability, and Tasks (TKSA) from the NICE Framework forthose attacks. SMBs can use the model as a guideline to assess, equip their existing workforce, oraid in hiring new employees. Additionally, educational institutions can use the model to developscenario-based learning modules to adequately equip the emerging cybersecurity workforce forSMBs.1 Introduction:Cyberattacks come bearing heavy costs to businesses and they are increasing each year
in written form, with limited time for students’questions. In such settings, the teacher is the focal point of instruction, and students participatepassively as listeners. In this situation, while it is true that some educators conduct exemplaryexpository classes, delivering content with both depth and eloquence, engaging studentseffectively and promoting comprehension of the subject matter. There are also instances in whichthese classes integrate active strategies to invigorate the learning experience. In turn, active learning strategies play a pivotal role by positioning students as activeparticipants in the learning process. Noteworthy approaches include Hybrid Teaching [1], theFlipped Classroom, Peer Instruction [2, 3], Team-Based
FGCU have been investigating ways to improve studentperformance in engineering mechanics (statics and dynamics), a required course for studentsmajoring in bioengineering, civil engineering, and environmental engineering. Success in thiscourse is critical to excel in follow-up mechanics courses and upper-level engineering courses.Data has been collected on students’ performance on homework, quizzes and exams, and on thestudents’ thoughts on learning and course delivery. Thus far, it has been concluded that the useof traditional hand-written homework, frequent assessment via quizzes [1] or the PearsonMastering Engineering [2] software for formative assessment did not have a significant impacton students’ performance on exams. It was also
individuals on aparticular topic. This is the definition that will be used in this paper. However, it is well knownthat the phrase "technical standards" has a plethora of interpretations depending on the context ofthe situation and the parties involved. There are company standards that are primarily for internaluse, "de jure" standards that are formally published by standards organizations, agreed-uponcommon practices (e.g., eating with one's mouth closed) that the general public refers to as a“standard”, and many more [1]. The ambiguity in the definition of the word "standard" andengineers' contextual interpretation and historical use of the word adds to the challenge ofstudying, discussing, and applying technical standards.In addition to the
broadly divided into two categories: opticalsorting and mechanical sorting. Optical sorting machines use camera and computer visionalgorithms to identify flavor through color. A CV algorithm uses inputs such as objects andimages/videos from a sensing device such as a camera. It analyzes the image and automaticallyrecognizes color, shape, and size as a human would, but faster. Mechanical sorting machines usea physical mechanism and gates with color sensors to do the sorting; these are typically slowerrate and less accurate.The objectives of the work described in this paper are to 1) develop a low-cost portable gantryrobotic system with computer vision for sorting jellybeans by flavor; 2) design lesson plans andactivities for advanced programing
from 2009 to 2016 and faculty at Purdue University – Indianapolis from 2016 to 2019. He completed a Ph.D. degree in civil engineering, focusing on construction management, from Michigan Technological University in 2008. He has an extensive teaching background with 22 years of the academic experience at five different universities. Students and departments have always praised him for his outstanding teaching and research excellence. He has been involved in numerous professional societies to supplement his teaching and research, including ASCE, ACI, ASEE, ASC, ATMAE, and TRB. His research output has been well disseminated as he has published 100+ journal papers and conference papers. His research interests are 1
integrated, and both provide opportunities for individual skill development byconducting Professional Development sessions across a variety of professional and technicaltopics. This study employs both a quantitative analysis of the utilization of professionaldevelopment and a thematic analysis of student focus groups to investigate differences acrossgenders. This study has implications for a wide range of engineering programs looking to createequitable opportunities for students.IntroductionEPICS and VIP Program HistoryThe EPICS program was founded in 1995 at Purdue University in response to a need forengineering students to gain more practical, hands-on design experience before transitioning intotheir professional careers [1]. EPICS connects teams
, discusses the survey questions, investigatesthe results, and evaluates its impact on student understanding of the equilibrium of rigid bodiesin 3D.BackgroundStatics is a prerequisite course in most engineering disciplines such as mechanical, civil,aeronautical, and even bioengineering [1]. The concepts introduced in the course serve asfoundational knowledge for courses like Dynamics and Strength of Materials. Therefore, it iscrucial for engineering educators to utilize the best strategies that enhance student learning.Danielson and Hinks investigated the perception of Statics educators on the most importantStatics skills and their estimation of students’ proficiency in performing the skills. A skillinventory was created using a multi-step Delphi
) byapplying a text-mining technique. The results conclude that this methodology is useful not only for graspingthe effectiveness of PBL program contents from a cause-effect perspective but is also applicable to othernonstandard teaching methods that cannot be quantitatively assessed with conventional exams.1. Background and problem statement1) Learning outcomes from techno-socio PBLsTechno-socio Project-Based Learnings (PBLs), which are designed from the combination of social issuesand technology-based solution developments through collaborations amongst public sectors, educationalinstitutions, and industries, are a very effective teaching approach for nurturing engineering skillsets andmindsets for those who will become professional engineers in the
labs.IntroductionActive learning approaches are regarded positively and are widely respected as an evidence-based instructional practice, particularly inquiry methods and problem-based learning [1-3].Considerable discussion in physics teaching circles has been devoted to comparing learning in(a) more traditional “verification labs,” where theories are demonstrated physically through well-controlled tests and prescribed procedures and are “in service of theory” and (b)“experimentation labs,” where students are offered a theory along with tools to test that theory asthey see fit [4]. Smith and Holmes summarize a body of research to conclude that “verificationlabs do not measurably add to students’ understanding of the physical models they aim to verify”[4].Air
Paper ID #41044Ten Years of Badge-Based/Mastery Learning for Computer Architecture—LessonsLearnedDr. Peter Jamieson, Miami University Dr. Jamieson is an Associate Professor in the Electrical and Computer Engineering department at Miami University. His research focuses on Education, Games, and FPGAs. ©American Society for Engineering Education, 2024 Ten Years of Badge-Based/Mastery Learning for Computer Architecture - Lessons LearnedAbstractTen years ago, we chose to implement a badge-based version of a computer architecture course.We presented a research paper [1] on this
Ph.D. in Educational Policy and Planning from UT Austin.Rachel Porcelli, Society of Women Engineers ©American Society for Engineering Education, 2024 A Multifaceted Examination of ALWE's Influence on Personal Growth and Leadership in Engineering Academia Introduction Research shows that we need more than a multifaceted approach to achieve gender equity inengineering – we need tailored and personalized responses to tackle specific challenges faced inmale-driven and dominated fields. Numerous research studies suggest that effectiveinterventions highlight the importance of programs that go beyond improving individual skilldevelopment to tackle systemic and institutional barriers [1].Such
societal changes such as in-person universitiestemporarily teaching classes over online platforms [1] and businesses permanently adoptingmore technology and work-from-home models [2]. This work investigates the effects ofCOVID-19-related educational and work environment changes on the development of expertise,decision-making, and intuition in early-career engineering practitioners (fewer than six years ofpost-baccalaureate experience).Expertise is a status held by those who have a large accumulation of knowledge that is leveragedfor quick decision-making, making connections between concepts, and quickly referencingrelevant information [3]. Becoming an expert is thus a combination of collecting knowledge andgaining the ability to use it through
other authors [1] [2] [3].The stressful culture of engineering and engineering education contexts has been reportedelsewhere, including documentation of student suffering and shared hardship or a bootcampmentality [4] [5] [6]. Engineering educational programs have been described as having heavyworkloads, high expectations, rigorous assignments, smart students, and fierce competition forgrades [7] [8] [9]. Stress originating from perceived and experienced exclusion from participation[10] [11], especially for women [12] and people of color [13] has also been reported.In this paper, we continue our work from our recent results [14] that were a partial replication ofJensen and Cross’s [15] approach to studying the ESC of undergraduate level
projects [1]. Well supportedacademic makerspaces provide students with open access to resources that help them developtheir problem-solving skills, provide opportunities for collaboration, increase self-efficacy, anddevelop sense of belonging [2] [3]. Sense of belonging generally relates to self-perceptions of fitwithin a given context [4] [5] and has the ability to positively impact academic achievement andpersistence in STEM [6] [7] [8]. There is evidence to suggest that the presence of a non-intimidating, informal community established within an academic makerspace can potentiallybenefit student sense of belonging [9].Creating an inclusive community within a makerspace that promotes belonging requirespurposeful considerations. Research has
between students’ social lives and their engineeringself-efficacy by answering the following research questions: 1) What is the relationship betweenhomophily and self-efficacy in engineering students? and 2) How does the number and quality offriendships of an engineering student relate to their self-efficacy? A survey was distributed toengineering students at a mid-sized, MidAtlantic University that included Marra’s 2005self-efficacy instrument and also asked about participants’ quality and quantity of friendshipswith fellow engineering students. The survey found that the number of studying friends yieldedthe highest self-efficacy scores among engineering students, while factors such as GPA, gender,and major homophily had little to no effect on
communicating ideas to an audience. Inventioneducation provides a platform for students to identify real-world challenges and devise novel andinnovative solutions, fostering a sense of self-efficacy. Encouraging invention, innovation, andan entrepreneurial mindset helps students become more self-determined and contributes tostudents’ acquiring the skills needed to shape their own future [1].Students’ sense of belonging, psychological safety, and decision-making processes about theirfuture often align with their interests and curiosity, but anxiety can negatively influence theseperceptions. The aim of this study is to examine the constructs of interest and anxiety, withrespect to science and math and specifically to inventing. Prior research efforts in
while also conducting it with partners and collaborators. ©American Society for Engineering Education, 2024 Three Bad Words: Perspectives on the Changing Landscape of Diversity, Equity, and Inclusion in Postsecondary Institutions Jordan Williamson1 and Monica M. McGill2 1,2 Institute for Advancing Computing Education 1 jordan@csedresearch.org 2 monica@csedresearch.org Abstract Research Problem. The U.S. Supreme Court cases and state legislation have forced significant changes to higher-education institutions’ diversity, equity, and
©American Society for Engineering Education, 2024 The Implementation and Assessment of the Effectiveness of Peer Teaching Instructional Technique in Lecture and Laboratory CoursesIntroductionPeer teaching is based on Bandura’s social learning theory, Piaget’s cognitive development, andVygotsky’s social constructivist learning theory [1-2], in which knowledge is sociallyconstructed by consensus among peers. The basic principle of peer teaching is that teachingsomething to others is an effective way to learn it [2-3]. Peer teaching involves students acting asboth teachers and learners, assisting each other in gaining knowledge and understanding throughinterdependence [4]. By teaching others, students
. Ann-Perry Witmer P.E., University of Illinois at Urbana - Champaign A teaching professor, researcher, lecturer, and professional civil engineer, Ann-Perry Witmer is the architect of the emerging discipline of Contextual Engineering, which merges technical design with societal understanding to improve adoption outcomes. ©American Society for Engineering Education, 2024 THE INFLUENCE OF PERSONAL EXPERIENCE &IDENTITY ON DESIGN: TEACHING POSITIONALITY TO ENGINEERSINTRODUCTIONFor more than a decade, scholars have called for the engineering profession to shift towards amore socio-technical approach [1, 2]. A majority of undergraduate engineering programs nowrequire social science or
within a 3D environment.Autism Spectrum Disorders (ASD) can be described as mental neurodevelopmental disorders which includesautism and Asperger syndrome. Children with Autism experience difficulties in social interaction, verbal/non-verbal communication, and repetitive behaviors [1,[2]. Several studies have indicated that autism is a complexdisorder caused by several co-occurring factors [3, 4, 5]. Autistic children face difficulties when learningespecially in traditional classroom based learning. In this context, there is a need to explore alternative andinnovative ways to help autistic children learn. In this paper, the domain of learning is science and engineeringconcepts..The term Extended Reality is used to encompass 3 types of immersive
Paper ID #43960The Impact of In-person Instruction on Student Performance Using a STEMTechnical Design CourseDr. Sarah Rajkumari Jayasekaran, University of Florida Instructional assistant professor ©American Society for Engineering Education, 2024 The impact of in-person instruction on student performance using a STEM Technical Design CourseIntroductionSince the onset of the COVID-19 pandemic in the Spring of 2020, there has been a completeshift in instructional modalities[1]. The pandemic prompted widespread closures and a rapid shiftto remote learning, compelling instructors to adapt their course