Conference Session

Pre-college Engineering Education Division Technical Session 9

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Barbara Fagundes, Purdue University, West Lafayette; Hoda Ehsan, Purdue University, West Lafayette; Tamara J. Moore, Purdue University, West Lafayette; Kristina Maruyama Tank, Iowa State University; Monica E. Cardella, Purdue University, West Lafayette

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Diversity

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Pre-College Engineering Education

a CT framework developed by the Purdue INSPIREResearch Institute for Pre-College Engineering [11]. The CT framework includes Abstraction,Algorithms and Procedures, Use of Data, Debugging/Troubleshooting, Problem Decomposition,Parallelization, Simulations & Patterning. A definition of each of the competencies of our CTframework will be included in the results section.MethodsIn this Work in Progress paper, we utilized an exploratory qualitative approach to capture youngchildren’s engagement in computational thinking competencies. We focused on video data we collected 1 from 21 students from a first-grade class during a field trip to a

Conference Session

Computational Thinking in Pre-College Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Morgan M. Hynes, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette; Tamara J. Moore, Purdue University, West Lafayette; Sean P. Brophy, Purdue University, West Lafayette; Senay Purzer, Purdue University, West Lafayette; Kristina Maruyama Tank, Iowa State University; Muhsin Menekse, Purdue University, West Lafayette; Ibrahim H. Yeter, Purdue University, West Lafayette; Hoda Ehsan, Purdue University, West Lafayette

Tagged Divisions

Pre-College Engineering Education

exhibit, we have observed frequent enactment ofthis competency. For example, while playing on the structure, the family plans for the fastest routeto deliver medicine to the animals. The child creates a set of instructions by saying, “I can do red,blue and green, from the left” referencing taking the first left route from the entrance and going tothe rabbit (which has the red color), then to the dog (which has the blue color) and finally to thecat (which has the green color). Another example comes from a computer-based coding game where the parents read theinstructions for their child and explain to the child the order the robot should deliver medicine toanimals. The child enters necessary moves (codes) for the robot to get to the rabbit

Conference Session

Computational Thinking in Pre-College Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Hoda Ehsan, Purdue University, West Lafayette; Abeera P. Rehmat, Purdue University, West Lafayette; Hayaam Osman; Carson Ohland, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette; Ibrahim H. Yeter, Purdue University, West Lafayette

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Diversity

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Pre-College Engineering Education

by recognizing the maincharacteristics of the animals in the real world and associate them with 2D models.Lesson 4A In this lesson, L4A, learners were exposed to a sequencing activity through a story book,Joey and Jet. The story features a dog that goes through various steps to catch a ball.Accordingly, learners needed to make a set of steps that the dog followed in the story. One of theobjectives of this lesson was to engage learners in computational thinking competencies (i.e.,Algorithm and Procedures) by making a correct set of orders on a flowchart provided in thelesson. This lesson also aligns with national standards (e.g., NGSS: K-2-ETS1-1; CCSS-ELA:SL.1.1, SL.K.6, RL.1.7, L.1.1.I; CSTA: 1A-A-5-3). Encouragement was the

Conference Session

Bridge Programs Connecting to First-Year Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kuldeep S. Rawat, Elizabeth City State University; Robin Renee Mangham, Elizabeth City State University; Orestes Devino Gooden, Elizabeth City State University; Elton L. Stone, Elizabeth City State University

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Diversity

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First-Year Programs, Pre-College Engineering Education

camp and said, “Why not?” He knew I had an interest in Engineering. -My dad heard about it and said I should go. -I wanted to broaden my knowledge on the topics and careers. -My friend attended a similar program last year and recommended it to me. I am interested in Engineering. -I wanted to see more things in advanced technology, such as ATC and Flight Simulators.2. Have you always had an interest in STEM subjects and/or STEM careers? -Yes/Yes. Biomedical -Yes/Yes. Electrical or Computer Engineering -No/No. -Yes/Yes. I have always loved math. -Yes/Yes. Aerospace-Aviation3. What aspect of the camp do you think is most exciting or interesting? Why? -“Building wind turbine and

Conference Session

PCEE Biomedical Engineering

Collection

2018 ASEE Annual Conference & Exposition

Authors

Vahideh Abdolazimi, Drexel University; Jared Andrew Ruddick, School District of Philadelphia; Jessica S. Ward, Drexel University; Adam K. Fontecchio, Drexel University; Richard Edward Giduck, Drexel University

Tagged Divisions

Pre-College Engineering Education

Paper ID #22972Teaching Fundamentals in Lasers and Light Technology to Advanced AppliedOptics in Biology and Biomedical Research: Analyzing the Team-teaching In-fluence on High School Students’ Perception of and Confidence in STEMMs. Vahideh Abdolazimi, Drexel University I am a PhD student in Electrical and Computer Engineering Department of Drexel University. I finished my undergraduate and graduate studies in physics. My studies in bachelor was mainly focused on soft condensed matter and complex systems. I worked on a neural network to simulate and model the patterns of spikes in a two and three coupled neural network

Conference Session

Pre-college Engineering Education Division Technical Session 6

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James A. Moore; Matthew Dailey; Zachary Wilhelm, University of Utah; Kerry Kelly, University of Utah; Pascal Goffin, University of Utah; Anthony Butterfield, University of Utah; Jason Wiese; Wei Xing, University of Utah; Katrina Myquyen Le, University of Utah; Thomas Becnel, University of Utah; Pierre-Emmanuel Gaillardon

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Diversity

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Pre-College Engineering Education

. Sargent, and I. Nourbakhsh, “Community empowered air quality monitoring system,” in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, ser. CHI ’17. New York, NY, USA: ACM,2017, pp. 1607–1619. [Online]. Available: http://doi.acm.org/10.1145/3025453.3025853[10] “Use of low-cost sensor technology to monitor air quality & engage citizens,” in SECURE Workshop, S. R. partnership for Air Pollution health Effects (SHAPE), Ed., COSLA Edinburgh, Scotland, Mar 2016.[11] R. Bonney, J. L. Shirk, T. B. Phillips, A. Wiggins, H. L. Ballard, A. J. Miller-Rushing, and J. K. Parrish, “Next Steps for Citizen Science,” Science, vol. 343, no. 6178, pp. 1436 LP – 1437, mar 2014. [Online]. Available: http

Conference Session

Engineering Professional Development using Robotics Activities

Collection

2019 ASEE Annual Conference & Exposition

Authors

Shramana Ghosh, NYU Tandon School of Engineering; Veena Jayasree Krishnan, NYU Tandon School of Engineering; Sheila Borges Rajguru, NYU Tandon School of Engineering; Vikram Kapila, NYU Tandon School of Engineering

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Diversity

Tagged Divisions

Pre-College Engineering Education

to groups underrepresented in STEMfields. This distinctive curriculum was developed and refined through a multi-stage process: (i)involving PD facilitator training; (ii) three dimensional NGSS curriculum development by teachersand facilitators; and (iii) teacher participants’ support of other teachers. The study participantsincluded six science and math teachers from New York City (NYC) middle schools who hadpreviously undergone LEGO robotics PD at the NYU Tandon School of Engineering but lackedformal NGSS-plus-5E lesson development experience. This was done purposefully to focus oncurriculum development for the new national standards. A qualitative case study [10] is used as amethodology for analysis. A sociocultural theoretical framework

Conference Session

Pre-College Engineering Education Division Technical Session 11

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Mehmet Emre Bahadir, Southeastern Louisiana University; Ahmad Fayed, Southeastern Louisiana University; Deborah Athas Dardis, Southeastern Louisiana University; Bonnie Achee, Southeastern Louisiana University; Troy Williams, Southeastern Louisiana University; Wendy J. Conarro, Southeastern Louisiana University; Tireka Cobb Ph.D., Louisiana Office of Student Financial Assistance; Mohammad Saadeh, Southeastern Louisiana University

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Diversity

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Pre-College Engineering Education

of the Experiential Learning team, and the Teaching Excellence Team at Southeastern Louisiana University. Ahmad holds a Ph.D. in Mechanical Engineering from the University of Nevada Las Vegas (UNLV) and taught several engineering classes at multiple schools including University of Nevada Las Vegas (UNLV), University of Nevada Reno (UNR) and Purdue University Northwest (PNW). His research interests include Engineering Education, Computer Vision, Robotics, Active Vibration Control and Optimization.Dr. Deborah Athas Dardis, Southeastern Louisiana UniversityDr. Bonnie Achee, Southeastern Louisiana University In addition to her primary roles of undergraduate coordinator and instructor for the Department of Com- puter

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Deborah Athas Dardis, Southeastern Louisiana University; Ahmad Fayed, Southeastern Louisiana University; Bonnie Achee, Southeastern Louisiana University; Mehmet Emre Bahadir, Southeastern Louisiana University; Wendy J. Conarro, Southeastern Louisiana University; Troy Williams, Southeastern Louisiana University; Mohammad Saadeh, Southeastern Louisiana University; Tireka Cobb, Louisiana Office of Student Financial Assistance

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Diversity

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Pre-College Engineering Education

schools including University of Nevada Las Vegas (UNLV), University of Nevada Reno (UNR) and Purdue University Northwest (PNW). His research interests include Engineering Education, Computer Vision, Robotics, Active Vibration Control, and Optimization.Dr. Bonnie Achee, Southeastern Louisiana University In addition to her primary roles of undergraduate coordinator and instructor for the Department of Com- puter Science at Southeastern Louisiana, Dr. Achee also serves as faculty advisor for the student chapter of ACM-W, Women in Computing. She founded the Lion’s Code Coding Camp to provide a summer program for pre-college students and recruit students to the discipline and university. Her research focus is computer

Conference Session

Pre-College Engineering Education Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Elena Nicolescu Veety, North Carolina State University at Raleigh; James Edward Lamberth III, Enloe High School; Evelyn L. Baldwin, Wake STEM Early College High School

Tagged Divisions

Pre-College Engineering Education

Paper ID #33845Evaluation of virtual young scholar program with a focus on hands-onengineering design projects in a virtual setting (Evaluation)Dr. Elena Nicolescu Veety, North Carolina State University at Raleigh Elena Veety received the Ph.D. degree in electrical engineering from North Carolina State University, Raleigh, NC, in 2011. Her research focused on liquid crystal polarization gratings for tunable optical filters and telecommunications applications. Since 2011, she has been a Teaching Assistant Professor of Electrical and Computer Engineering at North Carolina State University. Currently, she is the Education

Conference Session

PCEE Biomedical Engineering

Collection

2018 ASEE Annual Conference & Exposition

Authors

Isabel Maria Gossler, University of Arizona; Vignesh Subbian, University of Arizona; J. Jill Rogers, University of Arizona

Tagged Divisions

Pre-College Engineering Education

biomedical, this technology offers up asolution. NeuroTinker has created a product which connects biology and technology in a waythat has the potential to attract students from various backgrounds. These electronic neuronsimulators are designed to show students how neurons function within their body and to providethem with a physical representation of these processes. Often times the activity of neurons ismodeled on computers or through animations which are useful but do not allow students tobecome actively involved. Hands-on projects, such as NeuroBytes, allow students to betterengage in their learning process. As seen in previous research, students who are more engagedand more interested in the material being presented to them are more likely to

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Tak Cheung, CUNY Queensborough Community College; Dimitrios S. Kokkinos, Queensborough Community College; Michael Lawrence, Queensborough Community College; Paul J. Marchese, Queensborough Community College; Kimberly Anne Riegel, Queensborough Community College; Paul Sideris; Regina Sullivan, Queensborough Community College; Paris Svoronos, Queensborough Community College-CUNY; Rex Taibu, Queensborough Community College; Mangala D. Tawde

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Diversity

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Pre-College Engineering Education

students’ performance on Lawson’s test on scientific reasoning and compared the results of the test to several demographic variables. 9. Creating a Virtual Practice Room: Augmenting Reality with Sound – In this project, students accurately recreated the sound of a performance space using a computer simulation and compared the derived acoustic parameters to those of the original concert space. 10. Analyzing Bacteria for Resistance to Antibiotics – Students collected environmental samples from a variety of locations. The identified species were then identified and tested for resistance to commonly used antibiotics. 11. Developing a Flexible Laser-Induced Graphene

Conference Session

Engineering Professional Development using Robotics Activities

Collection

2019 ASEE Annual Conference & Exposition

Authors

Hye Sun You, NYU Tandon School of Engineering; Sonia Mary Chacko, NYU Tandon School of Engineering; Vikram Kapila, NYU Tandon School of Engineering

Tagged Divisions

Pre-College Engineering Education

produce data to help analyze or design engineering systems. Expose students to tools for modeling, such as, diagrams, drawings, analogies, storyboards, computer simulations, etc. 3. Planning and carrying out investigations: Have students design and perform investigative activities that can produce answers to questions or validate hypotheses. Use data collection as a systematic process to obtain evidence for answering scientific questions. Setting up and performing an experimental design to test hypothesis is an integral component of this practice. 4. Analyzing and interpreting data: As students conduct scientific investigations or engineering design, have them perform generation and

Conference Session

Engineering Design for Elementary Students

Collection

2019 ASEE Annual Conference & Exposition

Authors

Amanda C. Johnston, Purdue University-Main Campus, West Lafayette (College of Engineering); Ruben Dario Lopez-Parra, Purdue University-Main Campus, West Lafayette (College of Engineering); Kristina Maruyama Tank, Iowa State University; Tamara J. Moore, Purdue University-Main Campus, West Lafayette (College of Engineering); Barbara Fagundes, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Pre-College Engineering Education

the School of Engineering Education and Director of STEM Integration in the INSPIRE Institute at Purdue University. Dr. Moore’s research is centered on the use of engineering design-based STEM integration in K-12 and postsecondary classrooms in order to help students make connections among the STEM disciplines and achieve deep understanding. Her work focuses on defining STEM integration, including computational thinking, and investigating its power for student learning.Ms. Barbara Fagundes, Purdue University-Main Campus, West Lafayette (College of Engineering) Barbara Fagundes is a first-year Ph.D. student in the Engineering Education Department at Purdue Univer- sity. Her doctoral research interests involve

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tony Andrew Lowe, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

Pre-College Engineering Education

to consider in teaching young learners to program.IntroductionBackground and Motivation Computers Science (CS) educators and researchers have long worked to capture thestruggles novices face in learning to programming. Most efforts focus on older students, butfrom the early days researchers have looked at young children learning to program as well. Pea(1983) describes programming and problem solving in children as young as 8 years oldextending work from Papert et al. (1978) who worked with 6th graders learning the LOGOprogramming language. Our wider research program looks at the early development ofComputational Thinking (CT) in even younger learners, starting in Kindergarten and extendinginto the second grade. While Papert and Pea’s

Conference Session

Pre-college Engineering Education Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sarah Lilly, University of Virginia; Anne Marguerite McAlister, University of Virginia; Sarah J. Fick, University of Virginia; Jennifer L. Chiu, University of Virginia; Kevin W. McElhaney, Digital Promise

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Diversity

Tagged Divisions

Pre-College Engineering Education

Paper ID #28921Supporting Upper Elementary Students’ Engineering Practices in anIntegrated Science and Engineering Unit (Fundamental, Diversity)Miss Sarah Lilly, University of Virginia Sarah Lilly is a PhD student in the Department of Curriculum, Instruction and Special Education at the University of Virginia. She holds a B.S. in Mathematics and English and an M.A.Ed. in Secondary Educa- tion from The College of William and Mary. Her research centers on STEM education, particularly using qualitative methods to understand the integration of math and science concepts with computational mod- eling and engineering design