. Specific skills developed include computerprogramming in Python, basics of electrical circuits, integrating computer hardware andsoftware, computer networking, and cyber security. Campers were introduced to computingcareers and majors through presentations and guest speakers during the Lunch and Learn time.At the end of the week, teams of campers applied these skills to an Internet of Things-themedCapstone project, which they presented to their peers and parents.Pre- and post-surveys, daily reflections, and structured interviews were collected to establishcontinuous improvements for the program and to further our understanding of how to betterprepare high school students to choose disciplines of study. Triangulation of the multiple sourcessupports
Paper ID #38034K-8 Computational Thinking through Engineering (Fundamental)Dr. Christine M. Cunningham, Pennsylvania State University Dr. Christine M. Cunningham is a Professor of Practice in Education and Engineering at the Pennsyl- vania State University. She aims make engineering, science, and computational thinking education more equitable, especially for populations that are underserved and underrepresented in STEM. Christine is the founding director of Youth Engineering Solutions (YES), which develops equity-oriented, research-based, and field-tested curricula and professional learning resources for preK-8 youth and
International University Monica E. Cardella is the Director of the School of Universal Computing, Construction, and Engineering Education (SUCCEED) at Florida International University. She is also a Professor of Engineering and Computing Education in SUCCEED and FIU’s STEM Transformation Institute ©American Society for Engineering Education, 2023 K-2 Grade-Aged Children and their Parents' Experiences Engaging in Engineering andComputational Thinking Activities in Informal Learning Setting (Fundamental Research)AbstractThis research study explores children and their parents’ experiences engaging in engineering andcomputational thinking activities in an informal learning environment. The participants in thisstudy
By Henry Debord, Dr. Ammar, Dr. Coffman- Wolph THE through 12th grade. It consists of 6 tactile buttons and a Raspberry Pi Pico (a palm-size computer that allows students to learn about CODETROLLER programming and basic electronics) and a 3Dprinted protective case. This is a cost-effective programming educational tool for students and teachers alike. The Codetroller replaces the traditional keyboard and mouse set up toallow your students to play preexisting gamesor explore learning to program in Scratch. This project provides an opportunity for students to learn soldering (but a pre solder option is available). Use the
Paper ID #41209High School Computing Education: The Landscape of Equity-Enabling Research(Fundamental)Dr. Julie M. Smith, CSEdResearch.org Dr. Julie M. Smith is a senior education researcher at CSEdResearch.org. She holds degrees in Curriculum & Instruction and Software Development. She also completed a doctoral program in Learning Technologies at the University of North Texas. Her research focus is computer science education, particularly the intersection of learning analytics, learning theory, and equity and excellence. She was a research assistant at MIT’s Teaching Systems Lab, working on a program aimed at
opportunities. IntroductionThe United States (U.S.) has seen an increased emphasis on providing computational thinking(CT) learning opportunities for every P-12 student. The increased emphasis is reflected by theinclusion of CT in the Standards for Technological and Engineering Literacy (STEL) [2] and theNext Generation Science Standards (NGSS) [1]. These standards promote the integration of CTwithin authentic, design-based engineering and science contexts. While the benefits ofintegrating CT and engineering practices are clear, there is still much to learn about the methodsused to integrate CT within authentic engineering design challenges. One strategy, physicalcomputing (the design, programming, and
responsive pedagogy with other subjects. Computer Science Learning Targets Scan for challenge materials ● Create and explain algorithms. ● Use a block-based language to program a robot. ELA Learning Targets ● Listen to a story and retell the events in order. ● Use place and movement words accurately. Practices ● Communicating ● Creating ● Collaborating https://bit.ly/CT-rosieswalk Four Lessons (30-40 minutes each) 1. Read and make connections to the story 2. Retell the story with place and movement
areas in which CS was integrated. Our review shows that there are several noted promising practices for integrating CS and computational thinking into K-5 learning environments, with a particularly focus on integrating CS into STEM. We also found that constructive approaches and unplugged activities can enhance learning. Implications. Based on this literature review, we identified several promising practices for creating curriculum that integrates K-5 into learning environments. These practices provide guidance for curriculum designers and those creating resources and tools for teaching K-5 students CS.1 IntroductionCS education has been slowly entering the K-12 education system, particularly at the high
Wetheim College of Engineering. Her focus is on developing curriculum ba ©American Society for Engineering Education, 2024 Establishing Sustainable Programs: Creating Lasting Computer Science Summer Programs for Middle School Students (Evaluation)Krista D. Chisholm, Ph.D., Olivia Lancaster, Areesha Razi, Nancy Ruzycki, Ph.D.University of Florida, Department of Materials Science and EngineeringAbstractInformal learning environments are among a number of ways to build learning experiences forstudents outside of the classroom. These experiences can create opportunities for students toengage and develop an interest in computer science and engineering outside the
experienced when participating in CS and Cybersecurity learning experiences. Data Collection and Analysis. We conducted interviews with 17 cadets and coded the transcripts using a priori codes. Findings. Sixteen of the cadets reported an increase in their knowledge and skills through self-reported grades and self-perceived knowledge gained through the CS and cybersecurity experiences. While all of the cadets indicated that the courses and extracurricular activities were beneficial and interesting, only two of the cadets indicated they wanted to have a career in the computer science or cybersecurity field. However, the findings indicated a lack of school personnel support, specifically at the guidance counselor
Paper ID #42148Understanding the Influence of a Week-Long Electrical and Computer EngineeringSummer Camp on Middle School Students’ Interests in STEM (RTP)Joshua E. Katz, University of Illinois Urbana-Champaign Joshua E. Katz is a Ph.D. student in the Department of Curriculum and Instruction, DELTA program, at the University of Illinois at Urbana-Champaign, where his research centers on collaborative learning in engineering education and other STEM disciplines. He obtained his B.S. in Technology and Engineering Education in 2019 and his M.S. in STEM Education and Leadership in 2021, both from Illinois State University
each day, and at the end of the program. Students rated feelingsabout activities they completed – confidence, enjoyment, interest, and difficulty, identity as anengineer or scientist, application of the activities in school and future careers, and rating theircoding ability. Students were interviewed to describe their camp experience, what they foundchallenging, what they learned, and why they decided to attend the camp. A longitudinalassessment will study the influence of the student’s demographic data, summer programexperience, motivation for computational thinking and design thinking on grades and courseenrollment. Multiple regression analysis was used to determine the significant predictors ofgrades and course enrollment and if the summer
. Post pandemic, this virtual, hands-onoutreach may expand access to engineering for students in rural areas or with limited access topre-college engineering.IntroductionStudent attitudes toward mathematics and science are developed during middle and high school[1]. Hands-on features of outreach activities can positively impact the disposition of middle andhigh school students toward STEM [1]. Lockdowns and school closures limited participation inoutreach during the COVID-19 pandemic [2]. Even prior to the pandemic, these programs werelimited for students in many in low resource schools [3, 4]. Computer-based STEM outreachplatforms provide unique learning experiences and can broaden the available audience, speakers,and facilitators [5]. The
Paper ID #38035Board 155: Broadening Participation and the Mission of Engineering forUS All (e4usa) through Design Projects That Engage Students withDisabilities as Stakeholders (Work in Progress)Dr. Jennifer Kouo, The Institute for Innovation in Development, Engagement, and Learning Systems (IDE-ALS) at the Johns Hopkins University School of Education Dr. Jennifer Kouo is an Assistant Research Scientist at the IDEALS Institute. Jennifer’s areas of expertise include Universal Design for Learning, technology integration, assistive technologies, and serving stu- dents with a range of disabilities, particularly autism spectrum
and facilitating communication of personal narratives? RQ2: How and in what ways do participants learn about engineering, physical computing, and craft through participation in this workshop experience? RQ3: What role does intergenerational learning play in youth’s STEM career aspirations?The data collected consisted of field observations, audio-video recordings of participants, semi-structuredinterviews, the quilt squares, and the resultant AR experience. Data analysis included the creation ofcontent logs, where-in participant behaviors, remarks, and apparent emotions throughout the workshopwere recorded. Additionally, the final artifacts and participant notes and sketches were collected andanalyzed within the
Paper ID #43282Students’ Use of The Engineering Design Process to Learn Science (Fundamental)Mr. Diallo Wallace, Purdue University Diallo Wallace is currently pursuing a Ph.D. in Engineering Education at Purdue University focusing on the benefits of integration of physics first and engineering curriculums for student self-efficacy in engineering. Diallo holds a Bachelor of Science in Electronics Engineering and a Bachelor of Arts in Mathematics from the University of Illinois. At the graduate level, he has attained a Master of Science in Astronautical Engineering from the Naval Postgraduate School and a Master of Project
intelligence (AI) and Machine Learning (ML) are rapidly changing our civilization andwill be critical tools in many future careers. AI/ML can analyze large amounts of data sets in ashort time; it will support a lot of fields to solve problems in a highly efficient way. It isincreasingly important to introduce basic AI/ML concepts to students to build familiarity withthe technologies they will interact with and make decisions about. Ideally, all students graduatingfrom high school should have some understanding of AI, the ethical issues associated with AI,and the potential strengths and weaknesses of a society built on top of computer intelligence [3].Although AI is increasingly used to power instructional tools for K-12 education, AI conceptsare not
Paper ID #44419Scaffolding AI Research Projects Increases Self-efficacy of High School Studentsin Learning Neural Networks (Fundamental)S. Shailja, University of California, Santa Barbara Shailja is an incoming post-doctoral fellow at Stanford University. She completed her Ph.D. in the Electrical and Computer Engineering (ECE) Department with interdisciplinary emphasis on College and University teaching at the University of California, Santa Barbara (UCSB) in 2024. She graduated with a bachelor’s degree from the Electrical Engineering Department at the Indian Institute of Technology, Kharagpur in 2016. Shailja has been
audiences that needs to be educated about quantum computing and its applications arepre-college students [4], [5]. More specifically, they advocate the need of teaching contemporaryphysics earlier in the curriculum because introducing modern and quantum physics beforecollege are interesting and can potentially motive students to learn physics in the future years [4],[5].Drawing from prior recommendation [4], researchers advocated for teaching counterintuitivequantum concepts based on conceptual ideas rather than intricate mathematical formulations topre-college students [6]. Although teaching quantum mechanics to students without relying oncomplex mathematical formalism poses a significant challenge, it does not imply an inherentcomplexity that
asupportive environment that encourages educators to embrace and effectively integrate MLtechnologies into their engineering teaching practices.Machine Learning in K-12 EducationMachine learning (ML) is one of the branches of Artificial Intelligence that describes thecapability of computer systems to perform complex tasks by using algorithms and statisticalmodels without explicit instructions. The concept of ML in computer science was developed inthe 1950s, but it has seen rapid growth in recent years thanks to the advancement of computingsystems and the abundance of data [2]. The pervasiveness of ML can be inferred through itswidespread integration into a diverse array of fields: from agriculture [3] to manufacturing[4]and medicine[5] to economics[6
computers with internet connection during the week to implement asynchronous activities. 4. Evaluation of the students and the projectThe evaluation of the students for participation in the course is totally under the purview of the localteacher. Although the implementation of the course through the platform Canvas provided informationregarding the participation of the students in the activities of the course, such as a final exam of thecontent, reading quizzes, assignments, final presentations, etc., the decision on how to use them tograde their students is up to the local instructor.Regarding the project, the evaluation has the objective to answer two research questions: 1) What is the gain in learning the physical concepts of solar
Paper ID #42381Lessons Learned through Multi-Year Team Teaching of an Engineering Coursefor Pre-College StudentsDr. Morgan R Broberg, Purdue Applied Research Institute Dr. Morgan Broberg is a Research Engineer at the Purdue Applied Research Institute (PARI). She received a Ph.D. in Civil Engineering from Purdue University and a B.S. in Engineering from LeTourneau University. Her research interests include modeling, analysis, and design of steel-concrete composite systems and effective teaching in civil engineering.Jose Capa Salinas, Purdue University Jose Capa Salinas is a Ph.D. Candidate in the Lyles School of Civil
oral communication, reading computer literacy, teamwork, etc.).* 2. This course broadened my knowledge of the study and practice of civil engineering.* 3. This course helped me understand how to apply concepts from one scenario to another.* 4. This course encouraged creative thinking. 5. This course encouraged me to consider a career in civil engineering. 6. I want to apply what I learned during the course in the future.*Course Instructors (CI) Questions (per instructor) 1. The instructor was well-prepared for class. 2. The instructor used class time effectively. 3. The instructor's teaching methods aided my learning. 4. The instructor encouraged student participation in class. 5. The instructor encouraged
Paper ID #43089Corsi-Rosenthal Box Learning Module: How Can We Make Clean Air Accessiblefor Schools? (Resource Exchange)Aaron Richardson, University of Connecticut Aaron Richardson studies and teaches with a focus on social and racial justice, accessibility, and creating relevant curriculum that will make use of students’ lived experiences and knowledge to help them bring their own personal meaning to their education and into the classroom. Aaron Richardson’s interest in the Corsi-Rosenthal Learning Module project revolved around accessible, relevant science and engineering education for students by using phenomena that
Paper ID #39382One of These Things Is Not Like the Others... Machines Can Learn toClassify Too (Resource Exchange)Dr. Stephany Coffman-Wolph, Ohio Northern University Dr. Stephany Coffman-Wolph is an Assistant Professor at Ohio Northern University in the Department of Electrical, Computer Engineering, and Computer Science (ECCS). Research interests include: Artificial Intelligence, Fuzzy Logic, Game Theory, Teaching Computer Science to First-Year, K-12 Outreach, and Increasing Diversity in STEM.Dr. Marcia Pool, University of Illinois at Urbana - Champaign Dr. Marcia Pool is a Teaching Associate Professor and Director of
Paper ID #42687Board 152: Utilizing Culturally Responsive Teaching Strategies to Enhancethe Learning of African-American Middle School Girls in CybersecurityDr. DeAnna Bailey, Morgan State University Dr. DeAnna Bailey is a faculty member of the Department of Electrical and Computer Engineering at Morgan State University. Dr. Bailey has an academic background in Electrical Engineering (B.S. in Electrical Engineering and Doctor of Engineering). She studies African history, culture, and traditions for the purpose of re-conceptualizing engineering for African/Black people in the 21st Century. Dr. Bailey researches, develops
Paper ID #38285Board 171: Project-Based Learning Using NASA Design Concepts for 3DPrinting Makerspace Development to Support Pre-college STEM EducationDr. Etahe Johnson, University of Maryland Eastern Shore Dr. Etahe Johnson is an Academic Support Coordinator and Articulation Liaison for the School of Busi- ness and Technology at the University of Maryland Eastern Shore (UMES, located in Princess Anne, Maryland. Dr. Johnson also serves as a an adjunct professor in the Department of Computer Science and Engineering Technology. Dr. Johnson earned her Ed.D in Organization Leadership and Innovation from Wilmington University. She
impacts of urbanization.Jeritt Williams, Illinois State University Jeritt Williams is an assistant professor of Engineering Technology at Illinois State University, where he teaches applied industrial automation and robotics.Maria Luisa Zamudio ©American Society for Engineering Education, 2023 Stakeholder Views in Building a Sustainable Engineering Learning Ecosystem: Afterschool Green Energy, Robotics, and Automation (Work in Progress)AbstractThis research was part of the first year of a National Science Foundation funded project aimed atpromoting high school students’ interest in green energy, robotics, automation and post-secondary engineering and
) that support underrepresented students in STEM fields. Prior to graduate school, Rachelle taught high school technology and engineering education (Robotics/Engineering, AP Computer Science, and Video Production). ©American Society for Engineering Education, 2024 Learning Goals in Middle School Engineering: A Systematic Review and Comparison with NGSS and ASEE Frameworks (Fundamental)AbstractThis research paper is a systematic literature review of pre-college engineering education thatincludes practitioner and research articles at the middle school level from 2012 - 2022. Theinclusion of engineering in the Next Generation of Science Standards (NGSS, 2013) and
International Conference on Engineering Design, 2021.[48] B.J. Fishman, W.R. Penuel, A.R. Allen, B.H. Cheng, and N.O.R.A Sabelli, “Design-based implementation research: An emerging model for transforming the relationship of research and practice,” National Society for the Study of Education, vol. 112, no. 2, pp. 136-156, 2013.[49] S. Shehab, E. Mercier, M. Kersh, G. Juarez, and H. Zhao, “Designing Engineering Tasks for Collaborative Problem Solving,” in Making a Difference—Prioritizing Equity and Access in CSCL: The 12th International Conference on Computer Supported Collaborative Learning, 2017, B.K. Smith, M. Borge, E. Mercier, K.Y. Lim (Eds). Philadelphia: The International Society of the