demos and grading Figure 3 Schedule of labs for ball on beam systemIn each session, students build knowledge and hardware that contributes to the final project, a ballon beam balance system. The physical system of a ball on a beam is simple yet allows forexploring a wide range of control topics from the stabilization of a feedback loop, disturbancerejection, digital sampling delay effects, backlash, friction compensation, to observer-based controldesign. Advanced topics on such as linear quadratic regulators, model predictive control, adaptivecontrol, and non-linear control can be covered using the same hardware in a second controlscourse.Experience from two semesters of offering the course shows that remote
set of labs was designed to becompleted in a 4- to 6-week time frame assuming 2 scheduled lab sessions per week. This shorttime frame allows students to participate in more advanced robotics projects and additionalmodules in the course.When students were asked in a survey (n =11) to rate the effectiveness of the Dobot robothardware system, the response average was 4.0 (5=excellent, 4=good, 3=average, 2=belowaverage, 1=poor). When asked to rate the effectiveness of using MATLAB and ROS software toprogram the Dobot robot arm and accessories, the student response average was 4.5. The ratedeffectiveness of the computer vision component was 4.4 (average score), and the effectiveness ofthe labs to train students in ROS services and ROS technology
students to do meaningful learning activities and think about whatthey are doing.” [3] Active learning has been shown to increase student understanding andreduce class failure rates in STEM courses. [4]An active learning environment with student-centered learning is better suited to practiceproblem-solving and develop conceptual understanding. [5] Standards are shifting to becomemore focused on developing student’s ability to problem solve rather than completecomputational calculations. For example, the Common Core Standards for Mathematical Practiceincludes the following: “reason abstractly and quantitatively, construct viable arguments andcritique the reasoning of others, and model with mathematics.” [6] The ability to reason andapply the tools
. Dorodchi, N. Dehbozorgi, A. Benedict, E. Al-Hossami, and A. Benedict, “Scaffolding a team-based active learning course to engage students: A multidimensional approach,” in 2020 ASEE Virtual Annual Conference Content Access, 2020. [8] O. Pierrakos, M. Borrego, and J. Lo, “Assessing learning outcomes of senior mechanical engineers in a capstone design experience,” in 2007 Annual Conference & Exposition, pp. 12–269, 2007. [9] M. Hernández-de Menéndez, A. V. Guevara, J. C. T. Martínez, D. H. Alcántara, and R. Morales-Menendez, “Active learning in engineering education. a review of fundamentals, best practices and experiences,” International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 13, no. 3, pp. 909–922
Rice University. Saterbak was responsible for developing the laboratory program in Bioengineering. Saterbak introduced problem-based learning in the School of Engineering and more recently launched a successful first-year engineering design course taught in the Oshman Engineering Design Kitchen. Saterbak is the lead author of the textbook, Bio- engineering Fundamentals. Saterbak’s outstanding teaching was recognized through university-wide and departmental teaching awards. In 2013, Saterbak received the ASEE Biomedical Engineering Division Theo C. Pilkington Outstanding Educator Award. For her contribution to education within biomedical engineering, she was elected Fellow in the Biomedical Engineering Society and
Project Management Associate for a Habitat For Humanity housing project in the USA. (ii) RESEARCH: Miguel Andrés' research focuses on (1) decision-making for the design and construction of infrastructure projects, (2) the planning of sustainable, smart and resilient cities, and (3) the development of engineers who not only have solid technical and practical knowledge, but also social understanding for, through infrastructure, address local and global challenges on humanitarian, environmental, social and equity issues. (iii) EDUCATION RESEARCH: Related to STEM education, Miguel Andrés is developing and applying contemporary pedagogies and tools for innovation and student empowerment to address climate change. Currently
hypothesized that sufficient skills in mathematics indicates a student’s preparedness for theengineering program, and as such, improves first year program retention.During the first session of an Introduction to Engineering course, students completed a ten topic,selected answer, questionnaire that briefly assessed skills in manipulating standard international(SI) units, solving basic word problems, relating functions to graphs, and estimating volume. Thequestionnaire was repeated for three subsequent, annual cohorts (n=30, 31, and 40, respectively),and analyzed per question. Shortcomings were identified as an average performance less than70%. The results indicated weaknesses in abilities to solve by consideration of unit dimensions,interpret graphical
school at McDonough School of Business, Georgetown Univer- sity. Prior to attending UVA Tomeka Carroll worked in the real estate development industry and has consulted with government agencies, international companies, and non-profit organizations. American c Society for Engineering Education, 2021Work in Progress: Incorporating a Circular Economy and an Interdisciplinary Framework within Engineering EducationAbstractCircular economy is foundational to developing long-term sustainable design in that it deviatesfrom linear models that encourage behaviors centered on taking, making, and wasting. Asdescribed by the Ellen Arthur Foundation, Circular Economy (CE
will first complete the standard operating procedure tutorial problem and correspondingVR challenge. They will be split into two groups and a cross-over study approach will beemployed as seen in Figure 3, one group will complete the paper-based problem first, and thengo through the VR challenge, while the other group will complete the VR challenge first. Thisprocess will take place a second time when the students complete the tutorial problem and VRplant troubleshooting challenge. An assessment will be made for each of the four activities andthe grades of the research study participants will be collected.Figure 3: Session plans for the paper tutorial and VR tutorial in phase two for participant groupsA and BParticipants will be invited to an
collectively work, in consultation with the faculty mentors on a single “collaboration group report” summarizing their view of possibilities for future collaborative research projects. An oral presentation competition will be organized for the best poster award and will provide an opportunity for winner to present his/her work at a national conference. The presentation session will be open to all students, faculty, mentors, with two judge panels-faculty panel and stakeholder panel. This is part of the dissemination plan and aims to publicize the event and increase the confidence of the students.3. Program Design with Multidisciplinary Settings3.1 Research project designThe REU site is multidisciplinary in
participation from others in the class.Speaker PresentationsIn order to promote professionalism and to attempt to satisfy one of the ABET criteria of‘Continuous improvement’, the students are provided with another opportunity (for extracredit) to attend technical speaker presentations. Most of these presentations (2 to 3 perterm) are held on campus during lunch hours. These presentations are sponsored by thestudent chapters of ASME, SWE, etc., and also by honor societies such as Pi Tau Sigma.Students are also encouraged to join as members of such societies. The speakers areusually from outside, either from an industry or from an R&D institution. Some times thestudents arrange the speakers from their co-op industry. Extra credit was given based
create effective problem statements, and design, build, test, and analyze a prototype product that addresses realistic constraints and system requirements, while using basic project management techniques. 2. Students will use appropriate tools and software to collect and analyze data, to describe and predict the behavior of designs, and to justify design decisions based on appropriate models. 3. Students will apply basic teaming principles and team effectiveness practices, such as peer evaluation and role assignment, while working with their team. 4. Students will write a project report and give an oral/multimedia presentation following technical communication guidelines which include formatting
answer four research questions to help guidestakeholders: 1) To what extent do current research articles address the spectrum of AI literacy,and how thoroughly do they cover the AI4K12 concepts? 2) What ethical considerations areaddressed? 3) How inclusive is the current body of research concerning all stakeholders involvedin developing, implementing, conducting, and evaluating AI education? 4) What arestakeholders’ perceptions toward AI?The preference for hands-on learning in AI education suggests an impactful approach toengaging students. Integrating such methodologies into instructional design can significantlyenhance student interaction and comprehension of AI concepts. For stakeholders, this implies aneed to develop curricular resources
alike, these lessons should be carried forward as standardpractices that realize the benefits of orientations toward kindness in higher education.References[1] R.P. Auerbach, P. Mortier, R. Bruffaerts, et al. 2018. “The WHO world mental health surveys international college student project: Prevalence and distribution of mental disorders.” J. Abnorm Psychol. vol. 127 (7), pp. 623-638. DOI 10.1037/abn0000362.[2] National Alliance on Mental Illness. 2012. College students speak: A survey report on mental health. D. Gruttadaro and D. Crudo. NAMI, Arlington VA. 24 pp.[3] R. Beiter, R. Nash, M. McCrady, D. Rhoades, M. Linscomb, M. Clarahan, S. Sammut. 2015. “The prevalence and correlates of depression, anxiety, and stress in a sample
2014 Annual Conference and Exhibition, Indianapolis, IN, 2014. [15] V. Fayowski and P. D. MacMillan, "An Evaluation of the Supplemental Instruction Programme in a First Year Calculus Course," International Journal of Mathematical Education in Science and Technology, vol. 39, pp. 843‐855, 2008. [16] A. M. Ryan, M. H. Gheen and C. Midgley, "Why Do Some Students Avoid Asking for Help? An Examination of the Interplay among Students' Academic Efficacy, Teachers' Social‐ emotional Role, and the Classroom Goal Structure," Journal of Educational Psychology, vol. 90, no. 3, pp. 528‐535, 1998. [17] R. S. Newman and L. Goldin, "Children's Reluctance to Seek Help with Schoolwork," Journal of Educational Psychology
motivation andlearning strategies of two groups of students are different from each other, the current study wascarried out. The current study did not compare student performance with similar HS GPA andtest scores as general students.HypothesisThe current study examined four hypotheses to understand the diversity makeup of the studentsand differences in their motivation and learning strategies listed below:H (1): There is no significant difference between high school students and university students inmotivation strategies.H (2): There is no significant difference between high school students and university students inlearning strategies.H (3): There is no significant difference between male and female students in high school anduniversity in
result of this course a student will be able to: 1. Demonstrate the ability to use various engineering tools in solving design problems, including MATLAB, Inventor, and physical prototyping 2. Demonstrate proficiency with implementing an engineering design process, a. Collect, analyze, represent, and interpret data a. Use systematic methods to develop solutions for problems b. Identify all relevant stakeholders, constraints, and needs 3. Communicate engineering decisions to technical managers, 4. Contribute effectively to an engineering team. 5. Evaluate ethical implications of engineering solutionsBoth courses were offered in sections of no more than 32 students. In the 2018-2019 academic year
condition (constant temperature) specification for equation 3.Figure 14: Neumann boundary condition (insulated temperature) specification for equation 3.Neumann insulated conditions when specified for the upper and lower boundaries allow for thistwo-dimensional problem to be solved as a one-dimensional problem. The results show one-dimensional isotherms as are apparent from the plots on temperature contours (fig 18.Figure 15: Default mesh. Students also realized through internal options that by default, the meshconstructed by pdetool is a first order mesh (constant strain triangles).Figure 16: Higher mesh density. Students performed mesh refinement as available in pdetool. Itis a simple button click that translates to using more elements while
University in India, and his M.Ed. in Educational Leadership Studies from the Faculty of Ed- ucation at Memorial University. Currently, he is a final year Ph.D. candidate (Social Justice and Equity in Health Stream) at the Division of Community Health and Humanities of the Faculty of Medicine at Memorial University. Amit’s research interests revolve around the intersection of health, education, and social welfare, and critical assessment of public policies and contemporary social issues.Dr. Svetlana Barkanova, Memorial University of Newfoundland, Canada Dr. Svetlana Barkanova obtained her BSc in physics from the University of Latvia in 1994 and earned her PhD in theoretical subatomic physics from the University of Manitoba in
sustainability in engineering education: Why is PBL an answer? International Journal of Sustainability in Higher Education, 18(3), pp. 436-454. https://doi.org/10.1108/IJSHE-02-2016-0022[23] V.M Nikolic, T.M Vukic. (2021). Sustainable development as a challenge of engineering education. Thermal Science; vol. 25, Iss. 3A, pp. 1921-1933. https://doi.org/10.2298/TSCI200726304N[24] ABET (2023) Criteria for Accrediting Engineering Programs, https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2022-2023/[25] K. Alam, S.Z. Qamar, and A. Al-Shabibi (2021) “An Outcome Based Approach for Applied Mechanics Courses using Bloom’s
, and encouraging creativity, students can build both confidence and technical expertise.Moving forward, sustained efforts in inclusive education and adaptive teaching methods willensure all students have the tools to thrive in the evolving tech landscape. A key component ofthis empowerment involves the continuous refinement of teaching methodologies that emphasizeactive learning, such as problem-based projects and peer mentoring. Providing students withhands-on experience through collaborative coding sessions and real-world challenges helpsbridge the gap between theory and practice. Additionally, implementing structured feedbackloops and personalized learning resources can further address individual learning needs, ensuringevery student has an
Paper ID #46296Predictors of Success and Retention: The Influence of Belonging and Self-Efficacyon First-Year Engineering StudentsDr. Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile Monica Quezada-Espinoza is a professor and researcher at the School of Engineering at Universidad Andr´es Bello in Santiago, Chile, where she collaborates with the Educational and Academic Innovation Unit (UNIDA) as an instructor in active learning methodologies and mentors engineering faculty in educational research. She is the Secretary of the Women in Engineering Division (WIED) of the American Society for Engineering
member and an upperclass student, sessions introduce first-semester students to campus resources such as the library, the tutoring center, the course registration system, student organizations, etc. To incentivize attendance, participants attending all sessions receive priority registration for the second semester and a University-subsidized passport if they do not already have one. 3. Living-Learning Communities (LLCs) – typically organized by discipline (e.g., Business or Psychology) or interdisciplinary theme (e.g., sustainability, diversity), each LLC takes a 3-4 credit theme-related course together and lives together in an on-campus dormitory. The faculty member teaching the course serves as the LLC
that their feedback and anonymizedparticipation data might be used to evaluate and improve teaching methods. All identifyinginformation was removed prior to analysis, and individual student data was not disclosed in anypresentations or publications resulting from this study.3. Implementation of FML3.1. Activity Types and Their IntegrationFML activities can be categorized into two types: Individual Engagement Activities and Large-Scale Interactive Activities. Individual Engagement Activities involve independent participation,such as responding to in-class discussion prompts, spotting mistakes in lecture examples, andvolunteering for 'Act-as-Professor' sessions. These activities encourage personal engagement andcritical thinking. In contrast
of precedent materials, and experienced instructional designers’ beliefs about design character. These studies have highlighted the importance of cross-disciplinary skills and student engagement in large-scale, real-world projects. Dr. Exter currently leads an effort to evaluate a new multidisciplinary degree program which provides both liberal arts and technical content through competency-based experiential learning.Iryna Ashby, Purdue University Iryna Ashby is a Ph.D student in the Learning Design and Technology Program at Purdue University with the research interests focused on program evaluation. She is also part of the program evaluation team for the Purdue Polytechnic Institute – a new initiate at Purdue
Technology, Rourkela, India during 1990-1996. His research interests include urban stormwater man- agement, non-point source pollution, water resources engineering, and sustainable urban water systems. He has published several research papers in peer-review journals, book chapters, and international and national conference proceedings. He is a Professional Engineer from the state of Maryland and District of Columbia and is a Diplomat from the American Academy of Water Resources Engineers.Dr. Sasan Haghani, University of the District of Columbia Sasan Haghani, Ph.D., is an Associate Professor of Electrical and Computer Engineering at the University of the District of Columbia. His research interests include the application of
the student’s confidence [2].Despite adoption within computer science curriculum, automated graders have had limiteddeployment within engineering programming curriculums [3]. Several common limitations todeployment are the upfront costs of developing and running a system, creating sample problemsthat are engaging for engineers and assessment checks that are relevant. Recent availablecommercial software, MATLAB Grader, has provided an accessible and unified framework forautomated assessment of engineering programing assignment [4].The Grader software package allows the instructor to build personalized a problem statement oftheir choosing. Then the instructor creates a reference solution of an answer in MATLAB codeand designs a series of tests
engineering work, he is also a published freelance photographer who has works with local and international NGOs. Dr. Striebig was the founding editor of the Journal of Engineering for Sustainable Development and an assistant editor for the Journal of Green Building. c American Society for Engineering Education, 2017 2017 ASEE Annual Conference Building Life Cycle Assessment skills with GREET and SimaPro to engage students in analyzing the sustainability of biofuel alternativesSustainability is important in manufacturing, construction, planning and design. The concepts ofsustainability have been pigeon-holed into graduate
is atraditional adage to say that “students are not like they used to be.” Such assessment is true, asgenerational shifts affect the way our students live and learn [1]. The majority of college studentsnowadays belong to Generation Z, who are technology natives, ethnically diverse, that are ontrack to become a most educated generation [2]. However, they are also the generation that hasstruggle the most with their mental health; surveys have documented that their sources of stressleading to such struggles include mass shootings, money and work stressors, the political climateand discrimination [3]. Not surprisingly, the COVID-19 pandemic and the racial reckoning in theU.S. has also negatively influenced the mental health of Gen Z’s [4], [5
many projects: eyeball tear glucose monitoring [3] and measuringintraocular pressure [4]. Mojo Vision has developed a very powerful, general-purpose augmented reality contact lensas of 2021 [5]. State-of-the-art techniques for constructing soft contact lenses with wireless circuits embedded in themare well under way [6]. Visual prostheses, or smart bionic eyes, are a subject of recent discussion [7]. Clearly, modern technology has the potential to be used in cheating, academically oriented or otherwise. Thispotential will likely only increase as microelectronics become more available to the public. Mobile phones areexceedingly common personal devices, with 95.5% of high school students owning one [8]. In the classroom, they arethe objects