Paper ID #39349Lessons Learned from a Game-Based Learning Intervention in CivilEngineeringDr. Casper Harteveld, Northeastern University Dr. Casper Harteveld is an Associate Professor of Game Design at Northeastern University, has affili- ated appointments in Computer Science, Electrical & Computer Engineering, Mechanical & Industrial Engineering, and with the School of Law, and works closely with faculty in Marine Science and Public Policy. His research focuses on using games to study and improve decision-making, and through these efforts both to advance our knowledge and to engage a broad cross-section of people
Disability Resource Center, Health Services, the Integrated Care Network, Survivor Advocacy Services, and the CPP Wellness Center. 7% 5% 14% 52% 22% Student Success Central – this resource leads you to many resources including those related to COVID19. 2% 4% 14% 55% 25% Veterans Resource Center. 2% 2% 4% 43% 49% Others, please list 6% 6% 8% 20% 61%Adapting to laboratory courses- With the CPP’s learn-by-doing campus philosophy, thecurriculum of the CE program has been designed to include computer, field, and
leadership development programs a look at what is needed and what is being done. Journal of STEM Education, 11(3 & 4), 1–21. https://doi.org/10.1109/emr.2015.7059373Donald, J. R., & Jamieson, M. V. (2022). Diversity of engineering leadership program design. New Directions for Student Leadership, 2022(173), 83–91. https://doi.org/10.1002/YD.20482Ellis, R. A., Han, F., & Pardo, A. (2018). When Does Collaboration Lead to Deeper Learning? Renewed Definitions of Collaboration for Engineering Students. IEEE Transactions on Learning Technologies, 12(1), 123–132. https://doi.org/10.1109/TLT.2018.2836942Lingard, R., & Barkataki, S. (2011). Teaching teamwork in engineering and computer science. IEEE Frontiers in
the National Science Foundation (#2105156).Any opinions, findings, conclusions and/or recommendations expressed in this material are thoseof the authors and do not necessarily reflect the views of the National Science Foundation.References[1] K. A. Douglas, A. Johnston, J. P. Martin, T. Short, and Rene A. Soto‐Pérez, “How engineering instructors supported students during emergency remote instruction: A case comparison,” Computer Applications in Engineering Education, vol. 30, no. 3, pp. 934– 955, Feb. 2022, doi: https://doi.org/10.1002/cae.22495.[2] R. Khan and J. D. Slotta, “Fostering Learning Communities in Engineering Design Education - A Critical Discourse Analysis of Engineering Syllabi,” Oct. 2020, doi
Paper ID #38275Game-based and Virtual Reality Sandboxes: Inclusive, Immersive,Accessible, and Affordable Learning EnvironmentsMr. Damith Tennakoon, York University, Canada In a world that is constantly evolving, Damith believes that through the application of physics and en- gineering, we can steer the spear of innovation towards sustainability and technological advancements. Damith is a driven and hands-on learner, working towards a Bachelor of Space Engineering, constantly learning new skills in programming, hardware, and applied physics. Learning from his past experiences of taking on the role as a research assistant
active learning change the climate, and lastly, 3) is there arelationship between climate and student achievement. Results show that climate perspectives do not necessarily increase or could possibly decrease whenactive learning is deployed. While much of the data was inconclusive, due to small sample sizes and a lackof statistical evidence, there were several observed trends that provide rich insights for educators. First, thesteel course had several unique instances compared to the modeling class. In steel design, four psychosocialdimensions can best predict grades while for computer modeling only two psychosocial dimensions predictgrades. Additionally for steel design, the most important climate characteristics for success are
Paper ID #38224Flipping the Classroom to Create a Student-Centered Learning Environmentin Three Undergraduate Civil Engineering CoursesDr. Amie Baisley, University of Florida I am currently an Instructional Assistant Professor at the University of Florida teaching primarily 2nd year mechanics courses. My teaching and research interests are alternative pedagogies, mastery-based learning and assessment, student persistence in their first two years, and faculty development.Prof. Keith D. Hjelmstad, Arizona State University, Polytechnic Campus Keith D. Hjelmstad is President’s Professor of Civil Engineering in the School of
] M. Alipour, D. K. Harris, M. S. Dizaji, Z. Bilmen, and Z. Zeng, “Leveraging Mixed Reality for Augmented Structural Mechanics Education,” (Virtual Conference), p. 16, ASEE Conferences, July 2021.[14] A. Yehia, J. Chao, C. Lyons, M. S. Dizaji, and D. Harris, “A Case Study on Leveraging Augmented Reality for Visualization in Structural Design,”[15] J. R. Lewis, “IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use,” International Journal of Human-Computer Interaction, vol. 7, pp. 57–78, Jan. 1995.[16] S. Subramanian, D. Bairaktarova, and S. Huxtable, “Development and evaluation of a virtual learning tool to enhance comprehension of energy concepts,” in 2022 IEEE Frontiers in
, Davis. She joined Pacific in 1999 and is a registered Professional Engineer in California.Dr. David A Saftner, University of Minnesota Duluth David Saftner is an Associate Professor at the University of Minnesota Duluth. He received a BS in Civil Engineering from the United States Military Academy and MS and Ph.D. in Civil Engineering from the University of Michigan.Dr. Tanya Kunberger P.E., University of Pittsburgh at Johnstown Dr. Kunberger is Division Chair for Engineering and Computer Science at the University of Pittsburgh Johnstown. ©American Society for Engineering Education, 2024 What’s in a grade? Current practices and strategies to evaluate
Paper ID #42934Integrating a Design Project to Bridge Experiment for Statics learning inGeneral Engineering EducationDr. Yingxiao Song, Muskingum University Assistant Professor in Physics and Engineering Department of Muskingum University ©American Society for Engineering Education, 2024Integrating a Design Project to Bridge Experiment for Statics learning inGeneral Engineering EducationAbstractEngineering Statics, a foundational course for most engineering students, is typically undertakenearly in their academic careers. Integrating hands-on experiments, such as the classic bridgeexperiment, is essential not only for a
Paper ID #38525Enriching Student Learning through Compelled Active Participation in aCoastal Resiliency CourseDr. Corinna Marie Fleischmann, P.E., United States Coast Guard Academy Captain Corinna Fleischmann is a Professor of Civil and Environmental Engineering at the U.S. Coast Guard Academy. She has a Ph.D. in Civil Engineering from the University of Connecticut, a M.S. in Civil Engineering from the University of Texas,Cmdr. Brian Maggi, P.E., United States Coast Guard AcademyProf. Hudson V. Jackson, P.E., United States Coast Guard Academy Dr. Jackson received his PhD from Rutgers University, specializing in Geotechnical
learning styles in engineering, the majority of engineering educationliterature that relates to learning styles focuses on students [13,14]. For example, a study ofengineering students in Malaysia suggests that engineering students were more strongly Active,Sensing, Visual, and Sequential learners [15]. The same finding of learning style preferences wasfound in a research study that included students in computer science, civil, electrical, andmechanical engineering in India. These more recent studies are consistent with prior studies aswell. Among these studies, a key finding to note, however, is that while overall the populationswere more inclined to be Active, Sensing, Visual, and Sequential learners, the reported learningstyles across students
, and student feedbackwere then aggregated and compared to the same aggregated data from semesters prior toimplementation of the ungraded classroom in the same courses in the years from 2015 throughspring of 2019.For reference on the approach to exam rigor and exam writing, all exams were devised andconceived under the assumptions of the “85% rule for optimal learning” concept [24-26]. Thisconcept comes from the neuroscience literature that follows learning studies that have shown thatoptimal learning occurs when the average person in a cohort is being challenged at the edge oftheir competence – not so hard that they are discouraged, but not so easy that they get bored.This concept has been applied widely to machine learning and computer
Paper ID #39820Board 44A: Work in Progress: Unannounced Frequent Examinations tocontribute student learning and building academic integrityMr. John Mario Bonilla, USFQ John Bonilla is an undergraduate student in the Polytechnic College of Science and Engineering at Univer- sidad San Francisco de Quito USFQ. John’s interests, in civil engineering include infrastructure develop- ment and transportation. Furthermore, John is interested in supporting the development of engineers who not only have strong technical and practical knowledge but also a strong ethical set of values. Currently John is working on his application to
, hydrostatics forces,pressurized pipe flow, water distribution, open channel flow, hydrology, surface runoff, rainfall,and risk. Computer modeling and laboratory exercises are used to emphasize principles. Thecourse meets three days a week for 65 minutes each session. Several lab activities are used as in-class activities while others that require more intensive calculations and reporting are assignedoutside of class. Additional course components include homework problems, a researchpresentation, and unit tests.Adjustments were made to the schedule and assignments to improve student learning andincorporate three teaching practices as described below. Throughout the course planning, carewas taken to rearrange the student workload, not increase it. Table
implementation and collection of self-reported perception of learning was implemented togarner feedback quickly on game design. Further, we plan to utilize more robust data as moreobjective measures to investigate the validity of this game as an education tool. For this purpose,we plan to integrate this game module as a learning activity in an introductory structural analysiscourse. We also are developing a computer-based version that will support lower-costwidespread dissemination and implementation potential. The computer-based version will allowfor refined multi-role implementation by automatically calculating each objective and displayingit on the computer interface. We anticipate developing the interface so that only the player withthat special
development and engineering education in theupcoming year. The future development effort includes revision of the game design based on thecollected feedback and computer-based game development. Also, we plan to expand itsimplementation to enhance community resilience and decision-making communication ingeneral. Our future implementation plan will be through 1) recurrent summer camp sessions, 2)undergraduate introductory risk management course, 3) community engagement events, and 4)workshop sessions for practicing engineers. As part of the implementation efforts, the game’seffectiveness in achieving intended learning outcomes will be assessed as well.References[1] ASCE, “Achieving the Vision for Civil Engineering in 2025: A Roadmap for the
Paper ID #42124Impact of Learning Transfer-focused Lab Writing Modules to the WritingInstructional Materials by Engineering Lab InstructorsDr. Dave Kim, Washington State University, Vancouver Dr. Dave Kim is Professor and Mechanical Engineering Program Coordinator in the School of Engineering and Computer Science at Washington State University Vancouver. His teaching and research have been in the areas of engineering materials, fracture mechanics, and manufacturing processes. In particular, he has been very active in pedagogical research in the area of writing pedagogy in engineering laboratory courses. Dr. Kim and his
to real engineering problems. They learn aboutforces, structural analysis (calculating internal forces in trusses and frames using the method ofsections and the method of joints [21] to solve for unknown forces), as well as computinggeometric properties such as center of gravity and moments of inertia. In previous years, studentswere required to complete two small computational projects worth 20% of their final grade. Therest of the grade distribution was split among midterms (40%), homework assignments (15%),in-class attendance (5%), and a comprehensive final exam (20%).Discussions with previous cohorts of students supported research that the middle two years weremostly lecture-based, lacking hands-on activities and real-world applications
Paper ID #41120Fostering Student Ownership and Active Learning through Student-Led GroupLectures in a Civil Engineering Materials CourseDr. Shenghua Wu, University of South Alabama Dr. Shenghua Wu is currently an Associate Professor in the Department of Civil, Coastal, and Environmental Engineering at the University of South Alabama. His research areas include civil engineering materials characterization, pavement performance evaluation and modeling, design, and maintenance, multidisciplinary approach to address complex engineering issues, as well as STEM education. He is the Director for the Solid Waste Sustainability Hub
Paper ID #42749Need for Strengthening the Transferability Skills in Undergraduate Civil EngineeringStudentsDr. Roshina Babu, University of Utah Dr. Roshina Babu is a Teaching Assistant Professor in Civil and Environmental Engineering at the University of Utah and is a licensed professional engineer in the state of Utah. She teaches courses in structural mechanics, civil engineering materials, and computer tools. Dr. Babu is interested in instructional design and developing experiential learning activities for undergraduate students.Prof. Praveen A, APJ Abdul Kalam Technological University Kerala Dr A. Praveen is
used.Figure 3: (a) Apple (iPhone) Apps (b) Android AppsSoil Moisture ExperimentA soil moisture sensor and Arduino were utilized during the implementation. The code forArduino Uno was uploaded, and the soil sensor measured the moisture content in real time. Tensamples were prepared with varying soil moisture to calibrate the sensor. Students were able toconduct the experiments on the desktops at the computer laboratory with the assistance of aninstructor. The Arduino has proven consistent outcomes in other studies for different datacapturing and streaming [19]. This experiment is part of the learning module under the SoilProperties section and will help students understand electrical conductivity's characteristics,changes, and effects
, comments from our Alumni Advisory Board thatengineers lack facility with the massive amounts of data now being collected in industry, and apractical need to refresh our lab course offerings – and leveraging our faculty’s expertise in thearea – the undergraduate curriculum at Carnegie Mellon University has undergone numerouschanges to increase the focus both on sensing and on computational science. Sensing forms abackbone for our design course sequence: It has been incorporated into a project in our third-yeardesign course since 2015 and our second-year design course since 2021. In 2018, ourUndergraduate Program Committee defined key learning objectives for sensing andrecommended that lab courses focus on sensing and instrumentation. These changes
competence – not so hard that they are discouraged, but not so easy that they get bored.This concept has been applied widely to machine learning and computer science. Exams arewritten so that the target is for an average student to complete 85% of the exam correctly.ResultsExam scores at mid-term and final can be compared across cohorts and courses. As exams mustchange with time, in this study we compare only a subset of topics, items and problems of thelarger exam that are held as similar as possible over time. Minor changes are needed in each newsection due to changes in textbook, state of knowledge, and to prevent cheating with old exams.However, the set of items identified in 2015 as core “study items” has been held as constant aspossible to
of smartphones andvoice-automated assistants, disciplines such as computer science have experienced a surge inenrollment, as these technologies dominate lives and media consumption [11]. While civilengineering has also ventured into 3D printing [12], machine learning for infrastructuremanagement [13], and exploring materials for habitats on other planets [14], students are unawareof these innovations unless they pursue postgraduate studies. Thus, learning about these researchopportunities in a first-year undergraduate class may influence enrollment and counter the effectsof civil engineering being a discipline of the past [15].This paper aims to propose possible implementations of high technology in civil engineeringcurricula, such as
and the use of active learning methods to engage and challenge his students.Dr. Matthew W Roberts, Southern Utah University Dr. Roberts has been teaching structural engineering topics for 22 years. He is a professor of civil engineering at Southern Utah University.Prof. Brandon K Wiggins, Southern Utah University Prof. Wiggins is an Associate Professor of Physics at Southern Utah University. He works in computational astrophysics and specializes in large dataset analysis and visualization, machine learning and artificial intelligence, and high-performance computing. ©American Society for Engineering Education, 2024 Exploring Educational Needs and Practices in Structural
Engineering and Center for Excellence in Teaching and Learning (CETL) to enhance teaching and learning effectiveness of engineering courses. She is the winner of 2021 University Teaching Fellow award, 2019 Distinguished Engineering Educator Award, and recipient of 2016, 2017, and 2018 Klewin Excellence in teaching award.Miss Alexandra Hain, University of Connecticut Alexandra Hain is an Assistant Research Professor at the University of Connecticut in structural engineering. She received her PhD in Structural Engineering in 2019 from the University of Connecticut. She has an interest in engineering education and serv ©American Society for Engineering Education, 2024 Optimizing Co-Teaching
environments, andpublic health, who are as well versed in professional skills as they are in technical skills is thechallenge we face as engineering educators.This paper describes a new civil engineering curriculum designed to meet these challenges. Ournew curriculum, that was the result of a multi-year effort, is centered around a “design spine”.The design spine, series of eight courses, is expected to improve the development of professionalskills, improve fluency with data analysis and computing skills, improve critical thinking skills,and integrate systems thinking through project-based learning. The design spine helps connectand integrate the separate subdiscipline courses typical of most civil engineering curricula as asystem of systems.The
development activities. Thiscase study addresses the question whether digital badge programs are effective in addressing thestated needs of preparing undergraduate students for a highly versatile and multi-dimensionaltransportation workforce within the constraints of limited time and motivation for the involvedstudents. Over the course of last year, the program has recruited 100+ students across an array ofdisciplines who have demonstrated engagement in activities for primarily three badges:Transportation Awareness and Engagement, Transportation Research, and Transportation CoreSkills. The program has resulted in an increase in participation in various engagement, research,and experiential learning activities. Through qualitative and quantitative
. Hilgers, G. Bham, R. Elgin, C. Morris, and G. Morrison, “Introductionof GIS into civil engineering curricula,” Paper presented at 2008 Annual Conference &Exposition, Pittsburgh, Pennsylvania, 10.18260/1-2—4433, 2008.[8] S. B. Miles, and L.H. Carlton, "Applications and issues of GIS as tool for civil engineeringmodeling," Journal of computing in civil engineering, vol. 13.3, pp. 144-152, 1999.[9] J. Komlos, S. L. Walkup, and K. A. Waters, “Modernizing an introductory civil engineeringcourse with Project-Based Learning,” 2020 ASEE Virtual Annual Conference Content AccessProceedings, Jun. 2020.[10] K. A. Waters, and V. Smith, “Teaching with GIS: Developing a project-based framework toteach civil engineering using software,” Middle Atlantic ASEE