engineering courses and other STEM programs[1-6]. Furthermore, studies indicate that enhanced 3D visualization abilities contribute tohigher retention and graduation rates, especially among underrepresented groups in thefield of engineering [7-12]. New studies add more details to the growing amount ofinformation demonstrating the need to improve the way STEM subjects are taught inschools [13-17].As a result of these obvious needs, a new program has been developed to help prepareparticipants for STEM careers by enhancing various mental skills. The focus on spatialskills was expanded to 3D visualization, analytical abilities, and pattern recognition. Theprogram has been introduced in a previous paper [18] and has seen successfulimplementation in
the paper, we offer some reflections onlimitations of our analysis based on our positionality.Sociotechnical Integration LiteratureEngineering students are routinely exposed to framings of engineering that privilege thetechnical aspects of their work while presenting social issues as less important or ignoring themaltogether [1], [2], [3], [4]. Sociologist Erin Cech has famously shown how engineeringeducation’s privileging of technical content and bounding of students’ aspirations surroundingsocial impact produces a “culture of disengagement” among engineering students [5]. Othercritics have explored various sociopolitical forces shaping engineering education—even as therole of those forces has been stripped from most observers’ imagination
tointegrate the software.Literature ReviewIntuition helps professionals make quick and accurate predictions and decisions. It has beendefined in many fields, but it has only recently been defined in engineering as “subconsciouslyleveraging experience to assess a present situation or predict a future outcome[1]. Intuitiondevelops in engineering learners and is often reflected in the speed, automaticity, andengagement of information when problem-solving. Humans have a visual intuition for materialsand structures we interact with on day-to-day basis and an intuition for shapes and materials thathelps to negate flawed designs[2]. Yet, construction and building engineering learners mustinteract with materials and structures from abehavioral design
innovators. The Adventures inRobotics (AIR) Program at Pittsburg State University has been a pioneer in immersive summeryouth workshops for over two decades. These workshops offer a dynamic blend of activitiescatering to students aged 9-13, serving as a beacon of STEAM-focused educational enrichmentin the southeast Kansas region.The AIR Program also includes the innovative AIR Teacher Workshop, developed in 2022 withsupport from the Kansas NASA Space Grant Consortium [1]. This 11-day workshop equips K-12educators with tools and training to integrate STEAM concepts into their classrooms, utilizingthe LEGO Education SPIKE Prime set [2]. Through hands-on training and mentoring during thesummer youth workshops, teachers gain valuable teaching
backgrounds were encouraged to attend events to provideopportunities to work with others of diverse backgrounds and experiences. Since a strong factorthat kindles students' initial interest in STEM is extracurricular activities, STEM 4 Kids sought toprovide an opportunity for the local community [1]. The events were held on CSU’s campuswhere parents drop-off and pick-up their students.The program separated from ASME, and in spring of 2022, it became its own registered studentorganization. This stemmed from the realization that running an outreach program required moresupport from faculty and student volunteers than could be given as a small section of a largerorganization. STEM 4 Kids remains active and continues to provide middle school students
schools, thecommunity, and the workplace [1]. Studies show that students who have an increased interest inscience, mathematics, and engineering in the early years (elementary and middle schools) oftheir education are more likely to pursue a STEM-related career [2]. Informal STEM educationexperiences are considered critical to developing the future STEM workforce [3]. InformalSTEM education can also help to address equity and access issues in STEM education. Studentsfrom underrepresented groups, including women and minorities, may face barriers to STEMeducation in traditional classroom settings, but informal STEM education can provide alternativeavenues for learning and engagement that are more inclusive and accessible [4]. Informal STEMeducation
findings. We then discuss implications of these findings for pre-collegeIntroductionThe number of jobs in the US requiring training in science and engineering is on the rise, yet thenumber of students receiving training in these fields is declining at an alarming rate [1], [2]. Ithas been long believed that too few undergraduates are recruited and retained in STEM programsto meet the nations need. It was historically thought that the first two years of college are themost critical to the retention and recruitment of STEM majors [3]. However, in recent years, aconsensus among scholars has emerged that efforts to recruit and retain students into STEMfields should begin as early as primary (e.g. elementary or middle) school. In fact, prior work
. Specifically for civil engineering students, statics and mechanics ofmaterials knowledge are essential for success in advanced analysis and design courses. Aprevious study developed a diagnostic exam to assess the retention of mechanics knowledge [1].Two different exams were administered to third-year and fourth-year students, respectively, forthe past five years. The exam tested ten different topics from statics and mechanics of materials,including truss analysis, indeterminate axially loaded members, shear and moment diagrams,stress and strain, beam deflections, indeterminate beam analysis, and combined loading. Thehistorical performance of students on the mechanics diagnostic exam was used to measureretention of core mechanics concepts, help
individual function and performwithin a work environment at the highest level. Examples of professional skills includecommunication skills, teamwork, time management, creativity, work ethic, leadership, conflictmanagement, and stress management, among others.Professional skills can be taught and reinforced using expository, guided, and active strategies[1]. The integration of such skills in the curriculum can occur via lectures (expository),demonstrations (expository), project work (guided), simulations (guided), role playing (active),brainstorming (active), and coaching (guided) [1]. Engineering students are exposed to soft skillsusing one of the following three learning methodologies: expository (lectures, seminars,conferences, and demonstrations
considers how students' learning mode rankings acrossdifferent modules influence not just their post-module knowledge scores but also the broadermetrics of content comprehension and delivery effectiveness.Active learning and instructional modes in engineering educationActive learning is a student-centered educational paradigm that has transformed engineeringeducation by fostering engagement and developing higher-order cognitive abilities [2]. Thispedagogical shift is supported by evidence suggesting that active learning strategies cansignificantly enhance the performance of engineering students [1]. Such strategies areparticularly well-suited to the applied nature of engineering, where practical problem-solving andthe application of theoretical
Saint Louis UniversityEvery year, teams nationwide participate in rocket competitions such as the Spaceport AmericaCup [1] or NASA Student Launch [2]. These competitions have various altitude requirements thatstudent-designed and built rockets must reach to qualify. Although most rockets meet the altituderequirement to qualify, they typically overachieve and fly beyond the threshold. Our senior designproject aims to design, build, and test a Rocket Altitude Determination and Response System(RADARS) to reach within ± 50 ft of a given target altitude. To achieve this, my team and I willdesign, integrate, test, and validate an airbrake control system to decelerate the rocket during ascentusing real-time data from
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