Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Byul Hur, Texas A&M University; Ana Elisa P. Goulart, Texas A&M University; Logan Porter, Texas A&M University; Nripendra Sarker, Texas A&M University; Mike Willey, Texas A&M University

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Computers in Education

familyplatforms. The SimpleLink family platforms make the development cycle faster and easier tomeet the various requirements. The SimpleLink family platforms are currently activemicrocontrollers and microprocessors. In the Engineering Technology at Texas A&MUniversity, the courses in the embedded system integration track have adopted an MSP432 MCUas a common platform. Students can choose to use other SimpleLink platforms for their capstoneprojects because their knowledge is still relevant and there is a high chance of reusing their codewithin the SimpleLink family platforms. This paper presents the details of the embedded systemtrack and this transitional progress and students’ learning throughout this embedded systemcourse curriculum for Fall of

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fitratullah Khan, University of Texas, Rio Grande Valley; Mahmoud K Quweider, University of Texas, Rio Grande Valley; Ala Qubbaj, University of Texas, Rio Grande Valley; Emmett Tomai, University of Texas, Rio Grande Valley; Liyu Zhang, University of Texas, Rio Grande Valley; Hansheng Lei

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Computers in Education

thinking, and programming skills.Dr. Liyu Zhang, University of Texas, Rio Grande Valley Liyu Zhang is an Associate Professor in the Department of Computer Science Department of Computer Science at the University of Texas Rio Grande Valley. He received his Ph. D. in Computer Science from the State University of New York at Buffalo in SeptembDr. Hansheng Lei ©American Society for Engineering Education, 2020 Infusing Raspberry Pi in Computer Science Curriculum for Enhanced LearningAbstract— With the advent of cloud computing, the Internet of Things (IoT), and mobilecomputing, CS faculty are continuously revamping the curriculum material to address suchburgeoning set of technologies in practical and relatable

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Zhiyi Li; Stephen H. Edwards, Virginia Tech

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Computers in Education

growth mindset beliefs while encouraging deliberate practice, self-checking, and skill improvement as students work. c American Society for Engineering Education, 2020 Integrating Role-Playing Gamification into Programming Activities to Increase Student EngagementAbstractA number of gamification approaches have been used to encourage greater student motivation andengagement in the classroom. This paper examines a gamification strategy that is less common inthe classroom, despite its prevalence in successful games: role playing. Role playing games(RPGs) use a combination of character traits, experience points, and character leveling to illustratehow a character evolves and grows

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fadi Castronovo, California State University, East Bay; Robert Schaffer, Mission College; Varsha Reddy Kandi

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Computers in Education

technology that has been under increased research scrutiny is VR. VRprovides learners with a sense of spatial presence and immersion that is incomparable to othermedia ​[7], [8]​. For example, Thorsteinsson and Shavinina found that immersing students in VRexperiences aligned with the class’s textbook increased their conceptual and experientialknowledge ​[9]​. The benefits of including VR in a classroom go beyond the cognitive dimensionto benefit the emotional as well. The implementation of VR in the classroom environment is stillin its early stages and often analyzed through case-by-case research. Further research needs to beperformed to evaluate its benefits in an engineering curriculum. With this research opportunity, the authors of this

Conference Session

Computers in Education Division Technical Session 11

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Milo Koretsky, Oregon State University

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Computers in Education

particularly focus on what prevents students from being able to integrate and extend the knowledge developed in specific courses in the core curriculum to the more complex, authentic problems and projects they face as professionals. Dr. Koretsky is one of the founding members of the Center for Lifelong STEM Education Research at OSU. American c Society for Engineering Education, 2020 Work-in-Progress: An Online Journal Tool with Feedback for a Learning Assistant Program in EngineeringOverviewThis work-in-progress paper presents the development and pilot implementation of a computer-based reflection tool used in a Learning Assistant (LA) Program in

Conference Session

Computers in Education Division Technical Session 6: Computer Science Freshman Courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Dawn McKinney, University of South Alabama; Alex Daniel Edgcomb, Zybooks; Roman Lysecky, University of Arizona; Frank Vahid, University of California, Riverside

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Computers in Education

Paper ID #28920Improving Pass Rates by Switching from a Passive to an Active LearningTextbook in CS0Ms. Dawn McKinney, University of South Alabama Dawn McKinney, a Senior Instructor and Curriculum Coordinator for Computer Science at the University of South Alabama, has been conducting research on Teaching and Learning for over 23 years and has co- authored over 25 papers which have been presented at SISCSE, ASEE, FIE, XP/Agile Universe, Interna- tional Conference on The First-Year Experience, Southeastern Learning Community Consortium, Council on Undergraduate Research National Conference, and the South Alabama Conference

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James E. Lewis, University of Louisville; Brian Scott Robinson, University of Louisville; Nicholas Hawkins, University of Louisville

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Computers in Education

integration of the fundamentals learned in ENGR 110. Included amongstnumerous skills institutionally-identified as “fundamental” was programming, hence all SSoEengineering students – regardless of discipline – are exposed to edification in the basics ofprogramming.Associated programming curriculum developed for this sequence was heavily influenced by adesire to reflect the varying nature of programming applications throughout industry and theengineering profession. In other words, it is virtually impossible to expose students to all of thepossible programming “styles” and dozens of varying programming languages rampant in themodern work force. Accordingly, pedagogy throughout both ENGR 110 and 111 has beendesigned to expose students to multiple types

Conference Session

Computers in Education Division Technical Session 2: Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

D. Cenk Erdil, Sacred Heart University; Darcy Ronan, Sacred Heart University

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Computers in Education

industry drives an increasingly diverse populationin terms of majors, interests, and experiences towards introductory and advanced courses (Foster, et al., 2018;Erdil, et al., 2019). A thoughtfully-designed survey course can balance the needs of various subgroups andrealize the potential to influence students’ attitudes and beliefs, develop career intentions, and teach coreconcepts.A first-year integrated college curriculum has been a common practice across many engineering and sciencedisciplines for years (Cordes, et al., 1997; Bazylak & Wild, 2007). In these approaches for common curriculumdesign, all those first-year students admitted to programs of study in engineering, technology, applied sciencesand other related fields are offered

Conference Session

Computers in Education Division Technical Session 10: STEM Outreach

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bryce E. Hughes, Montana State University; Nick Lux, Montana State University ; Barrett Frank, Montana State University; Shannon D. Willoughby, Montana State University; Brock J. LaMeres P.E., Montana State University - Bozeman; Rachelle Codie Weyerbacher, Montana State University

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Diversity

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Computers in Education

, Montana State University Dr. Nicholas Lux has is an Associate Professor of Curriculum and Instruction in MSU’s Department of Education. His teaching and research interests are in the area of educational technology. He has worked in the fields of K-12 and higher education for 18 years, and currently teaches in the Montana State University Teacher Education Program. He has experience in educational technology theory and practice in K-12 contexts and teacher education, with a focus on STEM teaching and learning, technology integration, online course design and delivery, program evaluation, and assessment. Dr. Lux’s current research agenda is STEM teaching and learning in K-12 contexts, technology integration in teacher

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Conrad Tucker, Carnegie Mellon University; Kathy Schmidt Jackson, Pennsylvania State University, University Park; John Jongho Park, Penn State University

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Diversity

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Computers in Education

curriculum and inadequatetraining of teachers.” A faculty member wrote, “We have a hard-enough time to teachfundamentals in our disciplines. I am concerned we may not have enough time to incorporate AIappropriately.” How to integrate AI into school settings and the curriculum is a concern. Onefaculty stated that it is “haphazard at the high school level, while overly focused on machinelearning in our universities.” Another offered more specifics by sharing “there is not enoughfocus on problem formation and epistemology.” Student preparedness for AI is an ongoingdilemma and is due to issues such as the “lack of sufficient mathematical education (foundation)to understand AI algorithms.” For faculty, there is some concern about “attempts to

Conference Session

Computers in Education Division Technical Session 2: Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James Christopher Foreman, University of Louisville; Aly Farag, University of Louisville; Asem Ali, University of Louisville; Islam Alkabbany, University of Louisville; Marci S. Decaro, University of Louisville; Thomas Tretter, University of Louisville

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Computers in Education

to train an artificial intelligence (AI)model, replacing human observers to allow real-time measurement of many to all studentssimultaneously.An automated system was developed by [22] utilizing eye-gaze tracking collected on eachstudent from which attention and engagement are inferred, which relied on expert humanobservers for validation. The EMS proposed in this paper collects and integrates many morepieces of information to infer emotional, behavioral, and cognitive engagements and reportsthese in both a summarized instructor dashboard and more detailed analysis archived foroffline use.2.1 Previous Work on Classifying Emotion from Facial Expres- sionPrevious work supports the ability to select facial features from an image of the

Conference Session

Computers in Education Division Technical Session 11

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Shaya Wolf, University of Wyoming; Rafer Cooley, University of Wyoming; Mason Johnson, University of Wyoming; Andrea Carneal Burrows Borowczak, University of Wyoming; Mike Borowczak, University of Wyoming

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Computers in Education

outreach camps for elementary school students and teachers Large Group drove conversations with the participants about notions - Outreach opportunities for teachers to earn micro credentials Collaboration introduced by the class-wide conversations (5-10 students). - 1-2 day professional developments to help elementary school teachers meet engineering education standards • Class-wide conversations were driven by volunteers with - Week-long professional developments to help K-8 teachers integrate computer science lessons in their curriculum

Conference Session

Computers in Education Division Technical Session 8: Modulus Topics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safia Malallah, Kansas State University; Joshua Levi Weese, Kansas State University

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Computers in Education

curriculum.IntroductionSince 2006 the popularity of computational thinking (CT) - skills for solving problems byadopting the theoretical concepts of computer science - has been increasing substantially,leading to an increase in the amount of research and experiments on the CT method. Yet,there are limited numbers of inquiry investigate approaches to incorporated CT into acurriculum. Betül Czerkawski researched ways to integrate CT across all curriculum, throughsurveying instructional CT designers. She constructed the survey using the ADDIEinstructional design model. One of her findings showed that the Mind Map(s) (MM) strategycan establish a better connection between CT and instructional design [1]; however, verylittle research existed to investigate the correlation

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bryan Weber, University of Connecticut

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Computers in Education

, e.g., capstone projects.However, students would benefit from, and are interested in, integrating holistic educationthroughout the curriculum. Moreover, university engineering programs that are accredited byABET are required to meet these objectives. In their recent redevelopment of the student outcomescriteria, ABET [1], [2] identified seven primary outcomes for students. Of these, items two andfour focus on holistic engineering, emphasizing global cultural, social, environmental, andeconomic factors.To address all of the critical aspects of engineering projects, students must successfully analyze therequirements, synthesize information, and evaluate several design options for a given problem.These cognitive skills match well with Bloom’s

Conference Session

Computers in Education Division Technical Session 2: Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Eddie Davis, SUNY Farmingdale

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Computers in Education

reluctant to respond to questions asked in class and itis hard to tell whether it was due to fear of failure or some other force.Key Words:Classroom Response Technology, Top Hat, measuring effectiveness, assessment, andevaluation of learning.1. Background There has been research related to integrating technology into the pedagogy ofdifficult subjects like Integral Calculus [1]. Other research gathered student’s opinionsabout the implementation of Classroom Response Systems in university lectures [2]. Thefindings of the Procedia research showed that students gave an overall positiveevaluation of the Classroom Response System (CRS). It also identified CRS’s asenhancers of attention, participation, classroom dynamics, and learning. In 2016

Conference Session

Computers in Education Division Technical Session 4: Digital Learning Part II

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Robert L. Avanzato, Pennsylvania State University, Abington

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Computers in Education

growing importance of ROS in research and commercial robotics, engineeringeducators are introducing ROS into the engineering curriculum [2], [3], [4], [5], [6], [7]. As canbe noted from the literature, ROS is powerful technology but has a steep learning curve, whichmakes the interface with MATLAB an attractive alternative for educators. Several educatorshave reported results integrating MATLAB Robotics Toolkit with ROS middleware for mobilerobotics [8], [9]. to improve student accessibility. One researcher has surveyed 75 roboticseducational programs (undergraduate and graduate) and indicated MATLAB is the mostcommonly used software language in robotics programs [10]. It was also reported in the samestudy that there was a general need for a low

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Burford J. Furman, San Jose State University; Salman Ahsan, San Jose State University; Eric Wertz, self/EduShields

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Diversity

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Computers in Education

transportation.Dr. Salman Ahsan, San Jose State University Currently Salman Ahsan is an educator and mentor to young people he teaches part-time at San Jose State and Seattle University. He is also working on a services company that specializes in the artificial intelli- gence and machine learning space. In the past he worked in the semiconductor industry, in companies like Linear Technology (now Analog Devices Inc) and Maxim Integrated. Salman studied at the University of Pennsylvania (B.S.E), Princeton University (Ph.D) and University of California at Berkeley (M.B.A).Mr. Eric Wertz, self/EduShields Eric Wertz is a software engineer most recently involved in embedded systems and education. He has been a volunteer educator

Conference Session

Computers in Education Division Technical Session 5: Online Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joe Michael Allen, University of California, Riverside; Frank Vahid, University of California, Riverside

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Computers in Education

offerings, 7 years, 4 instructors, and about 1,500students, we have had no significant issues with the chat.5.5 LabsLabs are run by the TA similarly to lecture for the first 20-30 minutes. Then students can workon their weekly programming assignments and use the chat to ask the TA or classmatesquestions.Both lecture and lab sessions are recorded, such that students who miss a session can see whatwas missed, and students can also go back and review.5.6 IntegrationIn 2014, we switched from the previous commercial homework system to a new systemintegrated in the interactive learning content created by zyBooks. Furthermore, in 2016, weswitched from our homegrown program auto-grader to an auto-grader integrated into thatinteractive learning content

Conference Session

Computers in Education Division Technical Session 10: STEM Outreach

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Safia Malallah, Kansas State University; Salah Alfailakawi, Kansas State University; Joshua Levi Weese, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

young children computational thinking by modeling playground environments. She seeks to expand her experience by volunteering and helping to facilitate STEM workshops.Mr. Salah Alfailakawi, Kansas State University Salah Alfailakawi is a PhD student in Educational Technology (ET) Graduate Programs at Kansas State University’s College of Education. His areas of interest include social/cultural issues in ET, the impact of ET on learners and teachers, as well as practice and change management. He earned his master’s degree in practice and theory in interdisciplinary studies from Montana State University Billings. He has been an a teacher of English as a foreign language since 2006 and a head teacher since 2012 (6th-9th

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joseph A. Lyon, Purdue University, West Lafayette; Aparajita Jaiswal, Purdue University, West Lafayette; Alejandra J. Magana, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

the engineering classroom.However, teaching computation and programming within the engineering classroom does notcome without challenges. Often times, engineering instructors are dealing with overpackedcurriculum, students who lack confidence or ability within their programming, or lack familiaritywith the programming environments available and useful to students today [5]. Furthermore,gaps continue to exist within racial, gender, and socioeconomic differences [6]. However, recentwork has shown that integrating programming into the curriculum through the lens of popularapplications of its use can help broaden participation within computing disciplines [7].Innovations in computing environments have given rise to technology-enhanced learning

Conference Session

Computers in Education Division Technical Session 10: STEM Outreach

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Afrin Naz, West Virginia University Institute of Technology; Mingyu Lu, West Virginia University Institute of Technology; Chase Broyles, West Virginia University Institute of Technology; Isabel Barrio Sanchez, West Virginia University Institute of Technology

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Diversity

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Computers in Education

expecting to graduate in Spring of 2020. He has been working with high school computer science curriculum and is an advocate for Computer Science classes in all West Virginia schools. Recently, he has been working with middle school students in an after-school program focusing on exposure to STEM topics and experiences.Ms. Isabel Barrio Sanchez, West Virginia University Institute of Technology Isabel Barrio S´anchez is a college student at West Virginia University Institute of Technology. She is currently a Junior pursuing a Mathematics major and Computer Science and Economics minors. She has been working as a middle school and high school mentor for three years. Alongside the Computer Science department at WVU Tech and

Conference Session

Computers in Education Division Technical Session 6: Computer Science Freshman Courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joe Michael Allen, University of California, Riverside; Frank Vahid, University of California, Riverside

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Computers in Education

. https://snap.berkeley.edu/. Accessed January 2020.[11] K. Kahn, R. Megasari, E. Piantari, and E. Junaeti, "AI programming by children using snap! block programming in a developing country," in ECTEL Practitioner Proceedings 2018: 13th European Conference On Technology Enhanced Learning, Leeds, UK, September 3-6, 2018., 2018.[12] S. Lopez, J. M., Gonzalez, M. R., & Cano, E. V., "Visual programming languages integrated across the curriculum in elementary school: A two year case study using “scratch” in five schools," in Computers & Education, 2016.[13] S. Mishra, S. Balan, S. Iyer, and S. Murthy, "Effect of a 2-week Scratch Intervention in CS1 on Learners with Varying Prior Knowledge," in

Conference Session

Computers in Education Division Technical Session 9: Pedagogical Tools

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Martin Imre, University of Notre Dame; Wenqing Chang, Xi'an Jiaotong University; Shuzhan Wang, Beijing University of Posts and Telecommunications; Christine P. Trinter, University of Notre Dame; Chaoli Wang, University of Notre Dame

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Computers in Education

Christine Trinter is an assistant professor of mathematics education with the Center for STEM Education at the University of Notre Dame where she teaches mathematics content and assessment courses with the Institute for Educational Initiatives’ M.Ed. program and data visualization courses for the Notre Dame Education, Schooling, and Society minor. Dr. Trinter’s research focuses on factors affecting teacher development, curriculum design, and technology usage in the mathematics classroom and she serves schools both nationally and internationally providing professional development in these areas.Dr. Chaoli Wang, University of Notre Dame Dr. Chaoli Wang is an associate professor of computer science and engineering at the