Hands-On ProjectsAbstractEach first-year student attending the J. B. Speed School of Engineering (SSoE) at the Universityof Louisville (UofL), regardless of declared major, must complete a two-course sequence ofintroductory engineering courses. These courses, Engineering Methods, Tools, & Practice I(ENGR 110) and Engineering Methods, Tools, & Practice II (ENGR 111), introduce thefundamental tenets of the engineering profession. The first course in the sequence, ENGR 110,focuses on introducing a variety of fundamental engineering skills. The second course, ENGR111, is a hands-on, project-based course housed in a 15,000 square foot makerspace that hasstudents integrate and apply the skills learned in ENGR 110. One of the many skills
Paper ID #37589Active Project: Supporting Young Children’s Computational ThinkingSkills Using a Mixed-Reality EnvironmentDr. Jaejin Hwang, Northern Illinois University Dr. Jaejin Hwang, is an Associate Professor of Industrial and Systems Engineering at NIU. His expertise lies in physical ergonomics and occupational biomechanics and exposure assessment. His representative works include the design of VR/AR user interfaces to minimize the physical and cognitive demands of users. He specializes in the measurements of bodily movement as well as muscle activity and intensity to assess the responses to physical and environmental
Hispanics graduatefrom high school prepared to begin a STEM degree program or career [3][4]. This project aimsto overcome Hispanic students’ barriers by improving both cognitive and socio-emotionaloutcomes and enhance students’ informal learning communities by: (1) increasing participants’interest and engagement with mathematics and geometry specifically, (2) increasing participants’productive dispositions toward STEM subjects, and (3) enhancing the culture and broadeningparticipation in students’ informal learning communities. The after-school activities will bemodeled on the Math Circles which are a nationally recognized outreach program which allowsteenagers to investigate interesting and fun math concepts through inquiry-based learning underthe
NASA University Leadership Initiative (ULI) Project “Safe AviationAutonomy with Learning-enabled Components in the Loop: from Formal Assurances to TrustedRecovery Methods” and NSF Excellent in Research (EIR) project “Integrated Sensor-RobotNetworks for Real-time Environmental Monitoring and Marine Ecosystem Restoration in theHampton River”, the authors have successfully developed a research-based course on machinelearning and robotics for undergraduate engineering students at Hampton University. This paperpresents the goals, challenges, design process, engaging strategies, assessment /outcomes, andlessons learned for the new course. Besides, this paper also presents the integration of IBM AIcourse and NVIDIA machine learning modules, along
Northeastern University to focus on teaching and developing curriculum in the First Year Engineering program. ©American Society for Engineering Education, 2023 What to Teach First, Hardware or Software? Improving Success in Introductory Programming CoursesAbstractThis complete evidence-based practice paper presents an analysis and lessons learned inintroductory engineering courses with content that includes problem-solving, algorithmic thinking,the use of microcontrollers, and C++ at a medium-sized private urban university. These coursesspecifically incorporate the integration of hands-on, project-based design projects with computerprogramming. The goal of the project work is to provide an
since 2006.Alejandro Castro MartinezProf. Jairo Alberto Hurtado JAH, Pontificia Universidad Javeriana, Bogot´a, Columbia Associate professor at Pontificia Universidad Javeriana Bogota, Colombia, at Electronics Department. He was Chair of Electronics Engineering Program and he has been working in different projects to get a better process learning in his studentsEduardo Rodriguez Mejia, Pontificia Universidad Javeriana, Bogot´a, Columbia Hi, my name is Eduardo, I am a Rover Scout and professional Electronic Engineer with a Masters degree in Electronic Engineer. I am pursuing my PhD in Engineering with a Concentration in Engineering Education within the ExEEd department. I am interested in new teaching methodologies that
Work in Progress: Update on the Impact of Secure and Upgrade Computer Science in Classrooms through an Ecosystem with Scalability & Sustainability (SUCCESS) Keywords: Research Practice Partnership; Computer Science Education; Rural Participation in Computer ScienceAbstract: This Work in Progress Paper provides an update on the Secure and Upgrade Computer Sciencein Classrooms through an Ecosystem with Scalability & Sustainability (SUCCESS) project, an NSF-funded(#2031355) Computer Science (CS) educational Research-Practice Partnership (RPP) whose shared goal isto provide high quality CS educational opportunities to all middle school students in a rural area
further. To date, 3 professors,10 students, and a company have participated in this project. A company called LAB-VEEEducational TechMaker has been created for commercialization and an LMS with didacticcontent. The LMS was implemented in 2021 by a school in the country, with more than 60students taking classes, having access to only theoretical content. A study was conducted on thisimplementation to measure the level of learning of these students compared to others who studiedin a traditional way, and recently a university in the country has implemented LAB-VEE toconduct a study that will allow them to know its impact on the academic performance ofuniversity students.IntroductionLatin America and the Caribbean share many similarities, from
havepermitted these things to be done very easily.3.2 Code Simplification With Maven being introduced into the project this permitted the inclusion of the LOMBOKpackage. LOMBOK is a package designed to help reduce repetitive code in Java programs suchas the code for getters and setters [9]. By using LOMBOK we were able to reduce in places theamount of coding necessary since LOMBOK handled the generation of this code at compile timeincluding certain constructors and getters. Additionally, certain logical checks could beeliminated since some of these could be handled with LOMBOK annotations.3.3 Testing As stated above a proper automated unit test suite was not included due to time constraints.Despite this, some non-automated tests were included to
students in CE and SE take. Both sections were given similar assignmentswith only minor details changed for exam questions.Description of this Implementation of Mastery GradingThe most important part of mastery grading is deciding how to organize course assessments. Inthis course, Rojas created five assessment categories: quizzes, homeworks, exams, a project, andindividual project contributions. Given that Rojas taught this course several times before, heassumed that previous assignments already mapped well to the Course Learning Objectives(CLOs) and he did not need to update the assignment content. Next, Rojas converted eachassignment so that he could grade them as either needs revision (NR), low pass (LP), or highpass (HP) with the only
David Hall develops and promotes project-based engineering for engineering and engineering technology programs. He believes that projects build intuition and confidence which are important for the successful application of fundamentals and the successful development of technology solutions. ©American Society for Engineering Education, 2023 Implementation and Evaluation of a Predictive Maintenance Course Utilizing Machine Learning Jonathan Niemirowski, David Hall, Krystal Cruse Louisiana Tech UniversityAbstractThis paper explores a course designed to instruct students on project-based machine learning inpredictive
Paper ID #39981A SwarmAI Testbed for Workforce Development and Collaborative,Interdisciplinary ResearchMartha Cervantes, Johns Hopkins University Martha Cervantes is a Mechanical Engineer at the Johns Hopkins University Applied Physics Labora- tory where she works in mechanical design and integration of robotic systems. Additionally, Martha is the project manger of the CIRCUIT Program at JHU/APL, which connects and mentors students from trailblazing backgrounds to STEM careers through science and engineering projects. Martha received her B.S. in Mechanical Engineering from Johns Hopkins University, and she is currently
(pre-lecture activi-ties, in-class activities, homework, coding projects) is statistically equivalent. While performanceon exams is statistically significantly higher in the in-person section even after controlling for stu-dents’ incoming GPA (2.4 percentage points higher when compared with students in the onlinesection, p = 0.028), we find no statistically significant difference in students’ final weighted aver-age score (the advantage for in-person students reduced to 1.2 percentage points with p = 0.067).When we disaggregate by gender, we find that women in the online section outperform the womenin the in-person section. Men’s, underrepresented minorities’, and first-generation students’ per-formance follow the same trends as the whole
domain-specific programs: material science and engineering andarchitectural engineering. This project is broken down into the following objectives: 1) facilitate datascience education and workforce development for engineering and related topics, 2) provide opportunitiesfor students to participate in practical experiences where they can learn new skills through opportunities innew settings to transform data science education, and 3) expand the data science talent pool by enabling theparticipation of undergraduate students with diverse backgrounds, experiences, skills, and technicalmaturity. The paper will focus on the topics, deployment strategies within courses and curricula,establishing data sets, representative examples of work-in-progress
, University of Toronto Sowrov Talukder is a Computer Engineering student at the University of Toronto helping to improve programming labs in education.Mr. Parth Sindhu, University of TorontoDr. Hamid S. Timorabadi, University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the applicati ©American Society for Engineering Education, 2023 WIP: Lab Container: An environment to manage a student’s time to complete programming labs while providing effective
population in the U.S. butremain under-represented in computer science. The Remezcla project was developed to tackleissues of broadening participation of Latinx students in CS through an informal learningprogram. The current paper describes the program components and provides evaluation resultsfrom the pilot summer program implementation, held virtually in Atlanta and Puerto Ricoduring the COVID pandemic. Preliminary evaluation results suggest these one-week summercamps were effective in impacting pre-post students’ sense of belonging, self-efficacy, andintention to persist in computer science. Results reveal gender differences across severalconstructs with important implications for future studies.Background and rationaleThe word “remezcla”- the
., DataRetrieval and cder). Real-world data sets were used inthe examples and assignments: students analyzed data related to air pollution, climate, reservoirstorage, water quality, and river flow. Students worked on importing data sets, data cleaning andwrangling, visualization, geospatial analyses, and modelling. Best practices integrated into thecourse included good and bad examples of data management, pair programming, live coding,worked examples with labeled subtasks, use of templates for assignments, and project-basedlearning. Student attitudes and experiences were monitored using surveys at the beginning andend of the term. Polls were conducted to assess specific teaching and learning strategies. Thecourse structure provided a good opportunity for
of creating alearning environment that helps students develop their skills in programming courses[5, 10].Additionally, studies have reported the need of effective learning environments and pedagogicaltechniques to improve students’ performance[11, 12]Commonly used methods have been suggested to include environments with project-basedlearning, introduce pair programming, use language-independent courses, or provide practiceopportunities in courses [13, 14]. However, the literature suggests that one good way to buildstudents' ability and enhance their learning is by allowing them to practice more questionsoutside of the coursework [15]. However, providing more practice chances comes with itsnuances. For example, mostly such options are left to
experiences and projects are important partsof learning. Later, Kolb, in his Experiential Learning Cycle (KLC) [2], placed large importance onexperiencing and applying/doing as essential elements of optimal learning. Positive experientiallearning from accomplishing successful projects is also emphasized as an important component ofincreasing self-efficacy [3]. Therefore, it is not surprising that KLC implementations were reportedin most of the engineering disciplines like civil engineering [4] – [6], mechanical engineering [6],chemical engineering [4], [5], [7], aeronautical engineering [6], industrial engineering [8], andmanufacturing engineering [4], [5], [9]. Bansal and Kumar [10] describe a state-of-the-art IoTecosystem that includes edge devices
interested in software programming and User Experience designs. He is proficient with C, C++ and Python and familiar with JavaScript, PSQL, Intel FPGA Verilog and ARM Assembly(ARMv7-A). Personal Website: https://junhao.caDr. Hamid S. Timorabadi, University of Toronto Hamid Timorabadi received his B.Sc, M.A.Sc, and Ph.D. degrees in Electrical Engineering from the University of Toronto. He has worked as a project, design, and test engineer as well as a consultant to industry. His research interests include the applicati ©American Society for Engineering Education, 2023 WIP - A Face Recognition Application to Improve In-Person LearningAbstractA face recognition application that enables instructors
innovation and economic prosperity nationwide.”The massive investment in time and resources by large businesses and governments will acceleratethe presence of more products that will stimulate human-machine competition in the job marketand at the same time will create a new work environment that can accommodate thousands ofqualified workers.Here, a hands-on project-based AI workshop created to engage and educate high school teachersis designed, implemented, and assessed. Its major goal is to change teachers’ perceptions of AIthrough increased knowledge of AI topics.While the major emphasis of this work is on the content and organization of the workshop, aneducational research question (To what degree the high school teachers engage with AI through
Harmony Nguyen is a project coordinator in the Department of Psychology at Penn State University. She received her Bachelor of Arts in Psychology at California Polytechnic State University, Pomona. At Cal Poly Pomona, she conducted research in educational innovation and assessment. In particular, her research focused on supplemental instruction in engineering and how supplemental instruction can support underrepresented minority students in engineering. ©American Society for Engineering Education, 2023 A comparison of students' academic achievement and perceptions in HyFlex and non-HyFlex engineering courses1. Introduction and Literature review on the HyFlex instructional model
allocated to the University of Toledo. These projects have been funded by various agencies including the NSF (National Science Foundation), AFRL (Air Force Research Lab), NASA-JPL, Department of Energy, and the State of Ohio. He also played a critical role in the cultivation of a private gift to support the CSTAR lab for cyber security research. He has published more than 90 peer-reviewed journal, conference, and poster papers. He has also served as a reviewer for several high impact journals and as a member of the technical program committee for several reputed conferences.SaiSuma SudhaSai Sushmitha Sudha ©American Society for Engineering Education, 2023 Evaluating the impact of a multimodal
University-Corpus Christiwere affected during the COVID-19 pandemic and were moved online. As a result. most labshad to be modified to allow students to take them remotely and even today many courses stillhave online sections at Texas A&M University-Kingsville. To support online or off-campuslearning, students would be able to check out an IoT kit. The IoT learning kits provide theopportunity for remotely learning students to engage with hands-on learning. Thus, students gaina better understanding of IoT concepts and technologies and how they might be integrated intotheir capstone projects. The assignments reported in the rest of this paper provide an opportunityfor students to learn how to incorporate IoT and are part of IoT related research
approach to lecture and lab teaching methods where inquiry learning, problem-basedlearning, and project based learning are utilized. This scaffolded approach utilized in inductiveteaching is more student centered than the traditional deductive approach where topicgeneralities and mathematical proofs are covered in the class followed by homework outside ofthe classroom [4] [5]. Utilizing this inductive teaching approach with a scaffolded approach,utilizing multiple, active learning focused teaching methods, mastery of the concepts is now partof the learning process as students actively work through problems or projects [5].It has also been shown in engineering education research that student satisfaction, self-efficacy,and motivation are all
Founders Award from the International Council for Com- puter Communications. He has served as a member of the Steering Committee for Project Inkwell.Dr. Pradip Peter Dey Dr. Pradip Peter Dey has more than 20 years of experience in Computer Science research and education. His university teaching and professional experience emphasizes mathematical modeling, information ex- traction, syntax and semantics of natural language, wDr. Mohammad N. Amin, National University Mohammad Amin received his Ph.D. and M.S. degrees in Electrical Engineering & Computer Engineer- ing, and M.S. degree in Solid State Physics from Marquette University, Milwaukee, Wisconsin. He also received M.Sc. and B.Sc. degrees in Physics from Dacca
thecore’s microarchitecture.Labs 1-4 show how to program RVfpga using C, RISC-V assembly, and a combination of C andassembly. Lab 5, which is optional, shows how to create a Vivado project to generate a bitfiletargeted to the Artix7 FPGA and the peripherals on the Nexys A7-100T board. This is necessarywhen users wish to extend the RVfpga SoC and test it in hardware, which requires a newlygenerated bitfile. Again, Lab 5 is optional because all labs, including system extension, can becompleted in simulation only. Labs 6-10 introduce memory-mapped I/O and discuss existingperipherals within the SoC as well as how to extend the system to add more peripherals. Bothprogramming and interrupt-based approaches are used in these labs. Interrupts are used
3students with practice problems. The chatbot should help with project-related tasks such aschecking out equipment and requesting services. Such information is usually hard to find, andstudents might not even know the facilities they have access to. Another tedious task is schedulingmeetings. Students tend to send back-and-forth emails to set meetings with professors and TAs.The chatbot should assist with scheduling meetings based on the availability of the student and theprofessor or TA. The chatbot should also be able to provide general information unrelated to aparticular course such as Q-drop dates or registration information. Finally, it should easily providethe students with access to all safety documents, such as Safety Data Sheets (SDS
Paper ID #37681Computational Thinking Pedagogical + Framework for Early ChildhoodEducationDr. Safia Malallah, Kansas State University Safia Malallah is a postdoc in the computer science department at Kansas State University working with Vision and Data science projects. She has ten years of experience as a computer analyst and graphic de- signer. Besides, she’s passionate about developing curriculums for teaching coding, data science, AI, and engineering to young children by modeling playground environments. She tries to expand her experience by facilitating and volunteering for many STEM workshops.Lior Shamir, Kansas
graduate) from theDepartments of Computer Science and of Mathematics at the University of Brasilia.The first stage of the project was to work on the lists of exercises in the programmingenvironment of Mathematics students who are currently using Moodle with automaticcorrection by Coderunner autograder. The idea of the exercise lists is to be adaptable to thestudent's profile in order to motivate students to carry out the exercises. This stage wasevaluated by mathematics students in the first semester of 2021 with a good evaluation by thestudents.As future work, it is intended to validate this contribution throughout the semesters tomeasure its impact on student learning, make the same customization for other majors, andtrack student