into accessible forms. Tactile graphics translate visual images into physical, three-dimensional models that aBLV person can feel, similar to braille [1]. For pedagogical content, these are usually slightlyraised graphics on a paper medium for practicality and portability ([2], [3]). Translating visualcontent into a tactile graphic requires reducing the content into just the most important features,and often requires sighted subject matter expertise ([4]–[6]). Other work has explored usinglarger, higher fidelity three-dimensional models ([7], [8]). Additionally, few tools exist for BLVpeople to create their own visual content, and most tactile graphic systems require a sightedperson’s assistance ([9]–[11]). These methods also have
engineering education can benefit from having engineeringstudents work on team projects that involve a blend of cross-disciplinary and mixed-agedcollaborations. An NSF-funded project set out to explore this idea by partnering undergraduateengineering students enrolled in a 300-level electromechanical systems course with preserviceteachers enrolled in a 400-level educational technology course to plan and deliver roboticslessons to fifth graders at a local school. Working in small teams, students designed, built, andcoded bio-inspired robots. The collaborative activities included: (1) training with HummingbirdBit hardware (Birdbrain Technologies, Pittsburgh, PA) (e.g. sensors, servo motors) and codingplatform, (2) preparing robotics lessons for fifth
grow [1],because as class sizes increase, administering assessments becomes increasingly resourceintensive [2] requiring faculty and course staff to commit increased amounts and energy towardsmanaging the logistics of exam administration [3]. The additional resources required foradministering assessments in courses with larger enrollments often lead to a decrease in thenumber and type of assessments used in a course [4, 5], with faculty often relying on assessmentpractices that are not educationally beneficial to students [6].Managing assessment for large-enrollment courses is a challenge that many engineering programsface. In response to these challenges, in Fall 2014, the Grainger College of Engineering at theUniversity of Illinois at Urbana
uncomfortable making mistakes in class, learned to use my own mistakes to model engineeringpractices, and re-framed my perspective on what it means to be a “good” engineering instructor.This work illustrates the benefits of incorporating reflective practice into the professionaldevelopment of engineering instructors.IntroductionSeveral reform pedagogies require students to grapple with confusion in the classroom, framingconfusion as a positive indication of progress towards understanding [1]. For example, inproductive failure [2], students grapple with a complex problem, initially explore incorrect solutionpaths, and eventually, with help from their instructor, collaboratively consolidate their work intothe canonically correct solution. Responsive
entrepreneurial efforts successfully. This concept is critical in the business world. Itplays a crucial role in initiating and developing new ventures, which is essential for economicgrowth, innovation, job creation, and individual empowerment. Fostering and supportingentrepreneurial intention is critical for developing a prosperous and dynamic society [1].Entrepreneurial IntentionEntrepreneurial intention (EI) is a key concept in entrepreneurship research, focusing on the factorsinfluencing the decision to start a business. This decision is often based on deliberate reasoningthat mediates between personal reasons and actions, shaped by various internal and external factors[3]. EI represents an individual's inclination to initiate and develop a new
accuracy. Although results aremixed as to whether student performance improved in a single semester, the self-assessmentskills demonstrated by the entire student cohort, and particularly the improvement shown by thelower half of students by GPA, offers further encouragement that KS are a useful tool to supportdevelopment of self-assessment skills and student learning.IntroductionThe ability to self-assess is a key component of learning [1] and the practice of self-assessmentleads to better student motivation [2] and higher student achievement [3, 4]. The benefits of self-assessment are enhanced when faculty systematically train students on how to assess their ownwork [4]. For these reasons and others, self-assessment is an important component of
, challenges, and the instructor’s experience teaching MCI. Reflectionson emerging themes and their connection to manufacturing engineering and Education 4.0 arediscussed, with both opportunities and challenges for continuing program growth elucidated.Finally, understanding that multi-campus education is of growing interest to the community, somerecommendations and best practices are proposed.IntroductionHigher education has benefitted from the multi-campus system for many years by providingstudents with greater opportunities by expanding the physical presence of universities to differentlocations while maintaining the quality of education. The presence of campuses in diverselocations increases students’ choices [1]. Additionally, the multi-campus
in their own ways.Dr. Benjamin Ahn, The Ohio State University Dr. Benjamin Ahn is an Associate Professor at The Ohio State University in the Department of Engineering Education. ©American Society for Engineering Education, 2024 Re-imagining Behavioral Analysis in Engineering Education: A Theoretical Exploration of Reasoned Action ApproachIntroductionAs a discipline, Engineering Education continues to expand its reach, and subsequently, itsmethods of analysis. Integrating research from the behavioral sciences and psychology hasenhanced researchers’ capacities to explore the intricate and multifaceted behaviors inherent toengineering practice and education [1], [2], [3]. These
settings. MATLAB Grader is an onlinebrowser-based version of MATLAB where instructors can create, share, and automatically assessMATLAB exercises with their students. MATLAB Grader can also be integrated into variousLearning Management Systems (LMS) so that students do not need to navigate several differentwebsites and grades are automatically input into the gradebook. The primary advantage of the MATLAB Grader platform is its automated gradingfeature. Autograding of computer programs have been available and investigated for manydecades, primarily in the computer science domain [1]. However, the use of autograders ofcomputer programs in other disciplines has only received attention more recently. This isattributed to the different goals of
’ ability to practice engineering, inspired by the clinical practicums utilizedby medical schools [1]. The overarching goal of many capstone design programs is for studentsto apply their analytical knowledge from previous courses and newly learned practical skills to areal-world design problem [1], [2]. Most programs require students to work in a team to solve anopen-ended design problem, which exposes them to a diversity of perspectives, strengthens theircommunication and collaboration skills, and introduces program management skills [2]. Further,capstone design courses teach students design thinking, specifically to tolerate ambiguity, iterateon solutions, utilize systems engineering, and make decisions [3]. Overall, the engineeringindustry is a
). “The goal of this collaboration is to design and advance educational research activities thatpromote maximum learning outcomes at scale for learners with diverse roles and educationalbackgrounds, ranging from Air Force and DoD personnel to the general public” [1]. This programhas been running for four years and offers different learning tracks addressing varied groups ofUSAF (United States Air Force) and DoD employees, based on their unique professional needsand backgrounds, through various in-person or online learning modalities.This paper presents the implementation and evaluation of an in-person four-day long workshopthat took place in June 2023 at the MIT campus. Sixty learners, leaders from the DAF, USSF(United States Space Force) and
Engineering Schools, Departments and Programs [1],the overall average retention rate for obtaining an engineering degree within 6 years was 55.9%.According to the 2021 NSF National Survey of College Graduates [2], only 65% of science andengineering college graduates had an occupation related to their highest degree. Putting this intoperspective, if 100 students enrolled in an engineering program, about 55.9% (~56 students) willcomplete the degree within six years. Of those ~56 students, 65% (~36 graduates) will enter theengineering workforce. In summary about one-third (1/3) of students who enroll in engineeringprograms will complete the degree within six years AND enter the engineering workforce.What about the other two-thirds (2/3)? Why are they
validity, some lack detailed psychometric properties, emphasizing the need for further validation studies to enhance the quality of measurement tools in doctoral education. Conclusions: This scoping review not only identifies validated instruments but also underscores the importance of rigorous validation protocols and transparent reporting of psychometric properties for ensuring the credibility and replicability of research findings in this critical area. Future research should prioritize the development of instruments tailored to the unique dynamics of doctoral mentoring relationships. 1. INTRODUCTION 1.1 Importance of Effective Mentorship in Doctoral
improvement in their ability to articulate technical aspects within the AI domain and anincrease in their confidence in speaking up in the AI field. Two out of the ten research projectsapplied AI techniques beyond classroom teachings, yielding original research contributions, andanother six showcased students’ capabilities in building neural networks from scratch. Our studyhas a strong selection bias since it focuses on top-performing students. However, the exploration ofthe two pedagogical instruments (scaffolding research projects and dual advising structure) aimedat high school students provides promising insights for future AI curricula design at the high schoollevel.1 IntroductionArtificial Intelligence (AI) education conventionally starts at
improved JupyterLab is underdevelopment to efficiently teach ROS 2 to undergraduates with little to no prior experience. Thispaper provides an overview of the theoretical underpinnings of our work and outlines our initialimplementation for adaptation by others. II. Literature Review A. IndividualScaffolding refers to a structured framework that supports and guides learners while gaining newskills or knowledge, and fades as students become more proficient [1]. Scaffolding is aneducational strategy that instructors have used to bridge the gap between the student’s currentunderstanding and the more complex learning goal [2]. Domain-general scaffolding is supportthat stretches across all learning environments [1], [3]. This could include
learning andstudents’ outcomes, encompassing participation in STEM, academic and socialaccomplishments, as well as persistence and retention. In our previous work centered oninstruments measuring SB [1], we discerned that within the college context, SB’s nature —whether singular or multifaceted — hinges on the underlying theoretical framework. This naturemight intersect with other concepts such as “university connectedness” [2], “sense of inclusion”[3], “sense of social fit” [4], “sense of community” [5], and “perceived cohesion” [6]. However,without comprehensive research to determine if these concepts are synonymous with SB ordistinct yet related, our previous study refrained from using these terms as search keywords.Hence, the instruments
questions: 1. Have you used AI-powered tools like ChatGPT for learning in your engineering studies? 2. How frequently do you use AI tools for academic purposes? 3. What advantages do you think AI tools offer in engineering education? 4. How has using AI tools influenced your understanding of engineering concepts and problem-solving skills? 5. Do you believe AI impacted your ability to grasp complex engineering topics? 6. Have you experienced personalized learning through AI tools? Please explain. 7. What challenges have you encountered while using AI tools for engineering education? 8. Do AI tools encourage active participation and critical thinking in your engineering studies? 9. What
engineers, diversity, inclusion, and equity in engineering, human-centered design, and engineering ethics. ©American Society for Engineering Education, 2024 Role of Relevance in Professional Skills Application in Undergraduate Multi-Disciplinary TeamsIntroduction and BackgroundThe updated accreditation criteria set by ABET includes student learning outcomes that putemphasis on development of professional skills for nurturing practicing engineers in today'ssociety. Studies suggest that there exists a gap between recent graduates and industryexpectations on this front [1][2][3]. These studies suggest that recent graduates have lack ofexperience in project work, problem solving
Students, Self-Efficacy, STEM identity, Engineering Design Process, informaleducationIntroductionSTEM (Science, Technology, Engineering and Math) education is a critical component ofmodern education and workforce, as it provides students with the skills and knowledge necessaryto succeed in today’s rapidly changing technological landscape, but it is not always accessible toeveryone. The equity gap in STEM education is a significant issue, and individuals from low-income communities often lack the STEM experiences that their more affluent peers receive [1].To address this gap, educators are exploring new ways to engage students in STEM experiencesthat promote positive associations. A positive class experience can impact students in profoundways, for
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