- tion in computing. ©American Society for Engineering Education, 2023 Understanding the impacts of extra credit modules on student learning experience in a 100-level Electrical and Computer Engineering CourseAbstractThis Complete Evidence-based practice paper investigates students’ perceptions regarding thepresence of two extra credit (EC) modules on parallel computing topics in an introductoryelectrical and computer engineering course. Prior work investigating these EC modules showed ahigh participation rate (48-60%) across and high performance (80-88%) on the end-of-module ECquiz across three semesters [1]. The presence of extra credit has long been a topic of
), guided (discussions, debates, case studies, project work,simulations, mentoring, and workshops), and active learning (brainstorming, role play, games,site visits, outdoor training, and coaching) [1]. Courses have been designed exclusively tosupport the development of critical non-technical skills, including communication skills andteamwork, in engineering and computer science [2, 3]. However, the alignment of the skillstaught in those courses with the needs of students in subsequent courses have not been addressed.This study is aimed at understanding how the technical and non-technical skills taught in a first-year engineering program aligns with the needs of students in subsequent engineering andcomputer science courses. Research questions for
learning and schedule flexibility isto have a short late submission grace period (1-2 days) for lower stakes assignments and a longerlate submission grace period (1 week) for larger assignments. The late submissions can have asmall grade penalty; students can still earn an A on the assignment.In this paper, we describe our motivation for this research, analysis of student performance duringFall 2022 with flexible deadlines for various assignments, and detailed recommendations forimplementing a flexible deadline policy for a large introductory computer programmingcourse.Introduction and MotivationThe topic of academic success and student well-being is of utmost importance in post-secondaryeducation research and continues to receive significant
. 2021.[3] V. Barabash, M. Milz, T. Kuhn, and R. Laufer, “Development of a competence ecosystem for the future space workforce: strategies, practices and recommendations from international master programs in northern Sweden,” Acta Astronaut, vol. 197, pp. 46–52, Aug. 2022, doi: 10.1016/j.actaastro.2022.05.017.[4] H. van der Meij and P. Dunkel, “Effects of a review video and practice in video-based statistics training,” Comput Educ, vol. 143, no. April 2019, p. 103665, 2020, doi: 10.1016/j.compedu.2019.103665.[5] R. F. Herrera, M. A. Sanz, L. Montalbán-Domingo, T. García-Segura, and E. Pellicer, “Impact of Game-Based Learning on Understanding Lean Construction Principles,” Sustainability 2019, Vol
construction in STEM learning spaces.Dr. Ethan E. Danahy, Tufts University Dr. Ethan Danahy is a Research Associate Professor at the Center for Engineering Education and Outreach (CEEO) with secondary appointment in the Department of Computer Science within the School of Engineering at Tufts University. Having received his graduate degrees in Computer Science and Electrical Engineering from Tufts University, he continues research in the design, implementation, and evaluation of different educational technologies. With particular attention to engaging students in the STEAM content areas, he focuses his investigations on enhancing creativity and innovation, supporting better documentation, and encouraging collaborative
Paper ID #37248Exploring Transformative Learning from a Summer Bridge ProgramMs. Sukeerti Shandliya, University of Cincinnati Sukeerti Shandliya is a doctoral student in Engineering and Computing Education and a GRA in the De- partment of Engineering and Computing Education at the University of Cincinnati. Her research interests include engineering workforce development, DEI in STEM, experiential learning, development of global competencies and cultural competencies in higher education and the workforce. She has completed her bachelor’s in Electronics and Communications Engineering from Banasthali University, India
wasincorporated into a required first-year computing course. All engineering identity constructs werescored highly (median above 4 on a 0–6 scale), regardless of the survey time point. There was asignificant improvement in the construction of recognition (p=0.003), but no significant changein interest (p=0.184), performance (p=0.442), or overall engineering identity (p=0.177).Engineering identity constructs were significantly different across gender and major, but notacross other demographics, which included race and first-generation status. Identity constructscores decreased from the first to the second year, though not statistically significant. Resultsshow the service-learning project had a positive impact on student engineering identity in thefirst
Department of Computer Science within the School of Engineering at Tufts University. Having received his graduate degrees in Computer Science and Electrical Engineering from Tufts University, he continues research in the design, implementation, and evaluation of different educational technologies. With particular attention to engaging students in the STEAM content areas, he focuses his investigations on enhancing creativity and innovation, supporting better documentation, and encouraging collaborative learning. ©American Society for Engineering Education, 2024 1 Catalyzing Sociotechnical Thinking
an engineering identity early in theirmatriculation can be significant drivers of attrition from technical fields. Previous researchsuggests that project-based learning builds students’ engineering/computing identity by piquingand developing student interest in engineering topics. Literature on the sense of belonging inengineering suggests that experiencing camaraderie within course-based teams, and particularlyhaving a clear purpose or role within the team, can promote that sense of belonging. The currentresearch project sought to implement evidence-based practices to enhance first-year students’identity and sense of belonging in engineering and computing, in the context of a two-semesterintroductory course sequence that integrates students
implications of engineering decisionsThe course topics and structure are organized in such a manner as to achieve the aboveobjectives as outlined in the next section. IV. Organization of Course Learning SessionsThe activities of the course have been divided into two distinct parts: Course lecture andhands-on project:IV.1 Course Lectures and Presentations- Lectures for the course are presented in one session(1.5 hr.) each week based on the following topics as outlined below:(i) Case StudiesThe course presents case studies related to the civil, chemical, electrical, and mechanicalengineering fields in conjunction with numerous sub-disciplines such as aerospace, computer,energy, materials, manufacturing, industrial, automotive, nuclear
Paper ID #38958Redesigning a Cornerstone Course, Lessons Learned from a PandemicDr. Catalina Cortazar, Pontificia Universidad Catolica de Chile Catalina Cortazar is an Assistant Teaching Professor at DiLab Engineering Design at the School of Engi- neering at Pontificia Universidad Catolica de Chile. Catalina holds a Ph.D. in Computer Science at PUC, a MFA in Design and Technology at Parsons The New School for Design, a MA in Media Studies at the The New School and a bachelor’s degree in Civil Engineering, with a concentration in Structural Design at PUC.Miss Isabel Hilliger P.E., Pontificia Universidad Catholica de Chile
autonomy [25]. When afforded more autonomy, CBLaffords students with active learning opportunities for application, reflection, and teamwork [26-28]. Studies in STEM education have shown that active learning facilitates students’development of a wide variety of skills [29-37].In [Course], instructors employ interdisciplinary case challenges to train students in methods,tools, and techniques related to problem-solving approaches, three of which were thinking skills:algorithmic thinking, creative thinking, and systems thinking, and one of which was a practicalskill of casting and molding. Below, we provide working definitions for each thinking skill weemployed in this course.Algorithmic thinking is often referred to as a part of computational
performance,” Metacogn Learn, vol. 13, no. 2, pp. 179–212, Aug. 2018, doi: 10.1007/S11409-018-9183- 8/TABLES/14.[17] B. J. Zimmerman, “Becoming a Self-Regulated Learner: An Overview,” https://doi.org/10.1207/s15430421tip4102_2, vol. 41, no. 2, pp. 64–70, 2010, doi: 10.1207/S15430421TIP4102_2.[18] J. Liao, T. Kunberger, G. I. Papkov, A. Badir, R. O’Neill, and L. D. Nguyen, “Exam Wrappers, Reflection, and Student Performance in Engineering Mechanics,” 2018 ASEE Annual Conference & Exposition Proceedings, Jun. 2018, doi: 10.18260/1-2--30462.[19] K. C. Davis, “Examining the Efficacy of Exam Wrappers in a Computer Science Course.” Jul. 26, 2021.[20] D. J. Hacker and L. Bol, “Calibration and self
Paper ID #42848GIFTS: Project-Based Service-Learning for First-Year Engineering StudentsDr. Fayekah Assanah, University of Connecticut Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Unit 3247, Storrs, CT 06269-3247. Fayekah Assanah is the team leader for ENGR 1166: Foundations of Engineering, a core course for all first-year engineering students at the University of Connecticut, consisting of over 400 students. She has designed, developed, and implemented multiple design projects and service learning project through the ”Corsi-Rosenthal Boxes” for all first-year engineering
engineering education.Dr. Arnab A. Purkayastha, Western New England University Arnab A Purkayastha is an Assistant Professor in the Electrical and Computer Engineering department at Western New England University, Massachusetts. He received his PhD in the year 2021 from the University of North Carolina at Charlotte. His research interests and activities lie in the recent advances in High Performance Computing and Machine Learning fields, including system level integration both at the cloud and edge.Dr. Gladys Ekong Dr. Gladys Ekong is an Associate Professor in the Department of Pharmaceutical and Administrative Sciences, College of Pharmacy and Health Sciences, Western New England University (WNE). Her research work
Paper ID #38477A reimagined first-year engineering experience implementation:Structure, collaboration, and lessons learned.Dr. Devlin Montfort, University of Portland Dr. Montfort is an Assistant Professor in the School of Chemical, Biological and Environmental Engi- neering at Oregon State UniversityJason H. IdekerDr. Jennifer Parham-Mocello, University of Portland I am interested in computer science education research related to K-12 curriculum, diversity in computer science, undergraduate computer science learning, and adult and teacher training.Rowan Ezra SkilowitzDr. Natasha Mallette P.E., Oregon State University Dr
-based project work has also been found to be ahave a significant positive influence on retention [5]. An integrative team-based learning projectutilized in another entry level undergraduate computer science course was observed to helpstudents forge connections between the topics covered in the separate modules of the course anddemonstrate how that content could be integrated and synthesized to solve a problem [6].Improvements were noted in both student attendance and engagement. Including reflectionfocused team meetings as part of a team-based project was observed to improve the developmentof reflective skills important for addressing difficult engineering problems [15].Project-based LearningProject-based learning is a popular and engaging
of learning engineering content and skills, identifying the classroom andlearning experience as a key battleground for engineering student persistence. Furthermore,personal challenges can disproportionately affect students from certain communities. A study byUC San Diego Computer Science and Engineering faculty identified four categories of studentstruggle that were correlated to low outcomes in introductory computer science courses,including personal obligations, lack of sense of belonging, in-class confusion, and lack ofconfidence [8]. They found that students from underrepresented demographic groups struggledmore across all categories. Because of the complex relationships between the internal andexternal influences on learning, it is
Research Group Model to Involve Undergraduate Students in Computer Science Research*," Journal of Engineering Education, vol. 90, no. 4, pp. 549-555, 2001, doi: 10.1002/j.2168-9830.2001.tb00638.x.[71] M. J. Pitts and D. C. Davis, "SpaceStation©—Computer Simulation Tool Demonstrating Biological Systems," Journal of Engineering Education, vol. 85, no. 3, pp. 187-191, 1996, doi: 10.1002/j.2168-9830.1996.tb00232.x.[72] C. K. Y. Chan, "Exploring an experiential learning project through Kolb's Learning Theory using a qualitative research method," European Journal of Engineering Education, vol. 37, no. 4, pp. 405-415, 2012/08/01 2012, doi: 10.1080/03043797.2012.706596.
, "Makerspace Culture and Its Impact on Learning," in Makersapces in Practice, Chicago, IL, ALA Editions, 2020, pp. 53-61.[15] J. Davishahl, "Keep it simple, keep it real: Creating Inclusive Makerspace Enviornments," in Proceedings of American Society of Engineering Education Collaborative Network for Engineering and Computing Diversity, 2021.[16] J. D. Finn, "Withdrawing from School.," vol. 59, no. 2, pp. 117-142, 1989.[17] F. Newmann, Student Engagement and Achievement in American Secondary Schools, New York, NY, 1992.[18] J. Fredricks, P. Blumenfeld and A. Paris, "School Engagement: Potential of the Concept, State of the Evidence," Review of Educational Research, vol. 74, no. 1, 2004.[19] S. Kane, D. Chalcraft and G. Volpe
1skills. Undergraduate introductory courses cover a wide variety of fundamental topics such aselectrical circuits, electronics, logic design, computer programming, statics and dynamics, materialscience, biomedical and industrial systems, etc. Students in their first-year face challenges due toseveral factors related to the transition from high school to college. Although there are resourcesavailable for high school graduates to explore the campus such as open-house, freshmenorientations, and advisor meetings, students struggle with the thought of a college environmentand higher expectations. Several teaching pedagogies such as active learning, flipped classrooms,online discussion groups, and peer mentoring [1-6] have been studied in the past to
required to note changes to theproduct’s manufacturability and reproducibility in low-resource areas.The lesson duration, learning objectives, assignment prompt, materials, post module prompt, anddeliverables are detailed below.DurationThe activity was performed in two consecutive three-hour classes. During the three-hour classes,students have access to lab computers and a fabrication space. The design process and CADmodeling are taught prior to the module.Learning ObjectivesThe learning objectives of the module include: 1. Define the design process. 2. Implement the design process to design a product. 3. Integrate entrepreneurial minded thinking in the design process. 4. Discuss the role of DEI in design decisions. 5
clarity. 4. Technical Weaknesses in Math and Programming Especially in technical domains like math and computer programming, many students reported acute accuracy and comprehension deficits that undermined utility. One shared that with numerical calculations, "the AI tools gave very bad" results, getting fundamentals wrong. So despite upgrades in languages and writing, foundational numerical and computational techniques remain challenging for AI. Thus for STEM content, existing tools lack reliability, threatening learning integrity if applied without due caution. Discussion As artificial intelligence (AI) capabilities rapidly advance, tools like ChatGPT are emerging that can mimic human-like conversation and content generation. These AI
related to the problem.We used context-based problem-solving to design curricular innovations that meet the abovecriteria for contexts.The course in which the curricula were implemented is an introductory course on computerprogramming and engineering analysis using MATLAB as the computer tool. MATLAB isrequired for all first-year engineering students in the university's College of Engineering. Thiscourse is the second in a two-course sequence needed for all first-year engineering students at theuniversity.The learning objectives of this course help students learn the fundamentals of programming,including understanding and implementing user-defined functions, sequential structures,selection structures, repetition structures, and nested structures
a multi-disciplinary first year engineering class means meeting a variety of constraintsand goals. At the University of Kentucky, projects are required to include content from a varietyof engineering disciplines—such as mechanical, electrical, materials and computer science.Projects must also motivate student curiosity and enable students to meet learning objectivesrequired for success in subsequent discipline specific coursework. These projects are designed torequire all student team members to perform mathematical modeling to understand designconstraints, computer programming, computer aided design, and prototyping to bring designconcepts to reality. Working on the project also allows for professional skills such as practice ofteam
course.Many institutions of higher learning have a standard multi-course sequence that covers thefundamentals of computer science/programming. The general introductory course is usuallyreferred to as “CS1” in the literature; the second course usually covers data structures and isreferred to as “CS2” in the literature.A large CS2 course at the University of Michigan has four options for a student to meet the CS1prerequisite: credit for a college-level CS1 course at the home institution, transfer credit for acollege-level CS1 course at different institution, a diagnostic test for competency, and AP credit(score of 5) for placing out of the CS1 course prerequisite requirement. These prerequisiteoptions can represent four fundamentally different paths
Paper ID #39486GIFTS: Exploration Activities for Just-in-Time Learning in a First-YearEngineering Robotics Design-Build ProjectAditya T. Vadlamani, The Ohio State University Aditya Vadlamani is a graduate student studying Computer Science and Engineering at The Ohio State University. He is in his fourth year as a teaching associate for the Department of Engineering Educa- tion, teaching the Honors First-Year Engineering course. His research interests in engineering education involve research to practice and improving his skills as a teaching associate.Laine Rumreich, The Ohio State University Laine Rumreich is a PhD
Paper ID #37285A systematic review of pedagogical tools, learning goals, andparticipation strategies for high-achieving engineering and STEM studentsDr. Joseph A. Lyon, Purdue University at West Lafayette (COE) Dr. Joseph A. Lyon is a lecturer in the College of Engineering at Purdue University. He received a Ph.D. in Engineering Education, an M.S. in Industrial Engineering, and a B.S. in Bioengineering. His research has focused on the use of models and modeling, programming, and computational thinking within undergraduate contexts.Dr. Jacqueline Callihan Linnes, Purdue University at West Lafayette (COE) Dr. Jacqueline
to the engineering profession, and introductory skills such as problem-solving,computing, and team-based design. The following three overarching goals guide this work.Goal 1: Address disparities in students’ academic, social and emotional preparation for anengineering major using a holistic approach.Goal 2: Accelerate engagement of precalculus-level engineering students with existingcurriculum, community, and support systems.Goal 3: Increase course success rates, improve program retention, and reduce equity gaps inengineering transfer preparation and associate degree completion.The learning community will synthesize multiple high-impact practices that have been shown tobe beneficial for college students from a variety of backgrounds [5
Paper ID #44046Work in Progress: Igniting Engineering Fundamentals—A Holistic Approachto First-Year Engineering with Entrepreneurial-Minded Learning and a Project-BasedExploration of MarsDr. Danahe Marmolejo, Saint Louis University Dr. Dana Marmolejo has been an assistant professor of practice in the Aerospace and Mechanical Engineering Department at the School of Science and Engineering since 2022. With a background in Chemical Engineering, her expertise lies in Thermodynamics and Process Systems Engineering. Dr. Marmolejo’s primary focus is teaching engineering courses, mostly for first- and second-year students. At