Paper ID #35166Work-In-Progress: TriQL: A tool for learning relational, graph anddocument-oriented database programming.Dr. Abdussalam Alawini, University of Illinois at Urbana-Champaign I am a teaching assistant professor in the Department of Computer Science at The University of Illinois at Urbana-Champaign. My research interests are broadly in the field of databases, with a focus on data management. I am particularly interested in applying machine learning methods to various problems of modern data management systems. I am also interested in CS education research.Mr. Peilin Rao, UIUC I am a student in ECE department of
collect, sort, and deliver objects on a playfield. Thiscourse is an upper-level elective for ME, EE, CpE, and Computer Science students and currentlymeets for three contact hours a week. Many of the lessons learned by Stein were used in designingthe project, milestones, and pedagogical techniques in this work. Stein’s own course design workwas built on the foundation of many other studies [3]-[7].Cherng, et al. [3] provide a detailed discussion of their mechanical engineering senior electivecourse entitled Principles and Applications of Mechatronics System Design. Particular courseobjectives were to prepare ME undergraduate students in the area of integrating microcontrollers,provide the student with hands-on experiences, and to challenge
Paper ID #35060Professional Certification Exam: An Alternative Method for a RemoteAdditive Manufacturing LabDr. Rustin Webster, Purdue University, New Albany Dr. Rustin Webster is an assistant professor in the Purdue Polytechnic Institute at Purdue University and specializes in mechanical engineering and computer graphics technology. Dr. Webster’s industry expe- rience includes time as a contractor for the Department of Defense as an engineer, project manager, and researcher. He holds a B.S. in Engineering Graphics and Design and a M.S. in Management of Technol- ogy from Murray State University, and a Ph.D. in
, outcomes ofproblem-based learning are often shared, and the goals jointly set by the students and the teachers.• Project-based learning involves real-life problems while problem-based learning uses scenarios or casessuch as mathematical problems generated by the teacher.• Project-based learning follows a more general procedure while problem-based learning uses a specificor laid down procedure.• Project based learning is often multidisciplinary and takes a longer time. On the other hand, problem-based learning is more related to one subject and takes a shorter period.Online PBLOnline learning, a subset of distance learning, is the acquisition of knowledge via the internet with the useof computers and appropriate mobile devices [7]. A number of
proposal in the academic year 2010 – 2011. He has been a Co-Organizer of American c Society for Engineering Education, 2021 Paper ID #35162the REU+ program at North Carolina State University. From 2005 to 2008, he served in the external ad-visory committee for the Statistical and Applied Mathematical Sciences Institute (SAMSI). He publishedarticles in mathematics and presented papers at conferences. His research interests include mathematicalfoundations, modeling, algorithms, and applications in Machine Learning and Data Science and mod-eling, design, analysis, and computational study of
Paper ID #28137FACT: Femineer R Active Learning with Computational ThinkingDr. Kristina Rigden, California State Polytechnic University, Pomona Dr. Rigden is the Director of Outreach Programs and the Women in Engineering Program for the College of Engineering at Cal Poly Pomona. In her position, she secures funding and provides several different outreach programming events to engage K-12 female students to pursue STEM majors and/or careers. Dr. Rigden’s research focus is the STEM pipeline from K-12 to college and career for underrepresented mi- norities. Her teaching and scholarship are grounded in the
changes in those courses can impact student learning and retention. American c Society for Engineering Education, 2021 Advancing computational knowledge and skill through computing projects in sophomore-level mechanics coursesAbstractThe desire to graduate students with more advanced computational knowledge has become a hot topic incurriculum design. One route to do that is through integration of computing in the foundational mechanicscourses (statics, dynamics, and solid mechanics). The implementation of computing projects in thesesophomore-level courses has resulted in computing becoming an integral part of those courses at
Paper ID #32737Building Computational, Social, Emotional Learning Skills intoUndergraduate Computing Education Through Student-led Coding CampsDr. Gloria Washington, Howard University Gloria Washington is an Assistant Professor at Howard University in Computer Science. At Howard, she runs the Affective Biometrics Lab and performs research on affective computing, computer science edu- cation, and biometrics. The mission of ABL is to improve the everyday lives of underrepresented and/or underserved humans through the creation of technologies that utilize human physiological and behavioral characteristics for identity
computational phenomena, also left vague,that might be useful as comments in passing.The Algorithmic PlatformFamilies of ethical theories (grossly simplified) can be mapped to certain “intelligent”programming methods. We can interpret Consequentialist theories as simple calculations,compared to Deontologies as expert systems, which work work by searching for factors from Qamong antecedents, and discharging consequents on matches. Compare to Virtue Ethics as adeep-learning approach that can deliver assessments but cannot produce a justifying trace or chainof reasoning. The pedagogical goal of these references to paradigms of artificial intelligence isdeepening the student’s appreciation of the diversity of problem-solving approaches inethics.Data and
Paper ID #33471The Affordance of Computer-Supportive Collaborative Learning in aDynamics CourseDr. Yonghee Lee, Purdue University at West Lafayette Postdoctoral Associate at Purdue UniversityProf. Jennifer DeBoer, Purdue University at West Lafayette (COE) Jennifer DeBoer is currently Assistant Professor of Engineering Education at Purdue University. Her research focuses on international education systems, individual and social development, technology use and STEM learning, and educational environments for diverse learners.Prof. Jeffrey F. Rhoads, Purdue University at West Lafayette (COE) Jeffrey F. (Jeff) Rhoads is a
Paper ID #33782Learning Experiences of Social Science Students in an InterdisciplinaryComputing MinorDr. Valerie A. Carr, San Jose State University Valerie Carr earned a PhD in Neuroscience from UCLA followed by a postdoctoral fellowship at Stan- ford University. She is now an Associate Professor in the Department of Psychology at San Jose State University where she conducts research regarding learning and memory across the lifespan. She teaches courses on human learning and neuroscience, and helped create SJSU’s new minor in Applied Comput- ing for Behavioral and Social Sciences (ACBSS). Valerie currently teaches the
Center for Design. Her work is primarily focused on design strategy and research. American c Society for Engineering Education, 2021 Design Learning Preferences of First-Year Electrical and Computer Engineering Students - Work in ProgressPurposeThe individuals that apply to and attend engineering post-secondary institutions are a part of arapidly changing and highly-diverse group. If we develop a deeper understanding of today’sengineering students - what motivates them, what interests them, and what’s important to them -we can use that knowledge to help inform their experiences. Engineering programs certainlyhave specific objectives and requirements to
was when I started because I've learned so many new things about it.These statements, made by Jamie, may help to reinforce responses to several questions on thepost-survey; for example, Jamie’s post-survey data indicated that she “Strongly Agreed” withQuestions 41 (I believe that girls/boys can be good at computational thinking) and she “Agreed”with Question 45 (I believe I can be successful in computational thinking). Despite thechallenges she faced during the process of automating her clubhouse, Jamie’s interview suggeststhat this had not significantly impacted her perception of her ability to “be good at” or “succeed”in computational thinking.Idea 3: Jamie was able to explain computational thinking principles. When asked what wassomething
exciting way to introduce school students to different STEM fields, sincethe students will be exposed to engineering, sciences as well as computer programming.Increasingly, engineering schools embed mentoring opportunities for undergraduate studentsthrough robotics club activities [2,3]. Some schools provide service learning credit for coursesin robotics [4] in their curriculum. When mentoring middle/high school children, it is essentialto communicate the fundamental concepts in simple, easy to understand and for-fun ways.Studies indicate that a practice of journal writing about the mentoring activity [5] and usingreflection leads to improved mentoring. This can improve among mentors the ability tocommunicate complex engineering topics to lay and
. degrees in Computer Science from AAST - Alexandria Campus, Egypt. Dr. Abdelhamid’s research work spans three main fields, Computer Science, STEM Education, and Public Health. His research interests are in high-performance services-based computing solutions, novel digital educational technologies, and tools for the social network analysis of complex systems. More specifi- cally, his research focuses on designing and building software systems and services (science-as-service) that enable students and domain experts from various fields to access and interact with various learning resources easily and perform data analyses and simulations to study large-scale biological information socio-technical (BIST) complex systemsDr
Paper ID #32436Effective Learning Strategies: Design of Course Structure forEngineering Courses Aimed for Hybrid ClassesDr. Muzammil Arshad, Texas A&M University Dr. Muzammil Arshad earned his PhD in Mechanical Engineering and Master of Science in Aerospace Engineering from Florida Institute of Technology, and his Bachelor of Science in Mechanical Engineering from University of Engineering & Technology, Pakistan. Prior to joining Texas A&M University, Dr. Arshad taught at Florida Institute of Technology and Uni- versity of Wisconsin-Platteville. His research interests are in the areas of Computational Fluid
prepare graduates with astrong background in computer and information systems. The Cybersecurity option in ComputerScience Technology will provide a good base for an academic program that addressestheCybersecurity problems. The curriculum also includes Cybersecurity courses for non- STEMmajors who wish to learn about the cybercrimes. Homeland Security students, Forensic Scienceand other STEM majors will also have the opportunity to obtain a certificate, or minor inCybersecurity.The Cybersecurity option will enable students to explore the trends and impact of current andpast actions within the cyber world. Students will become adept at making rationalized digitaldecisions, evaluating threats, and managing risks in today’s cyber infrastructure
Participation (IBP), the S-STEM Interdisciplinary Biochemistry Master Program (NC State University), and the HBCU-UP Im- plementation Project (Fayetteville State University). She is an active member of ASEE.Dr. Tonya Lynette Smith-Jackson, North Carolina Agricultural and Technical State University Tonya Smith-Jackson, PhD, CPE: Tonya Smith-Jackson is Senior Vice Provost for Academic Affairs at N.C. A&T State University. Her teaching-learning research focuses on inclusive pedagogies and methods to measure inclusion to support academic success. American c Society for Engineering Education, 2021Introducing Diverse Undergraduates to Computational ResearchThis paper
capabilities are being developed tofacilitate the smooth transition of the learning curvebetween them. This will provide students with a continuum ofexposure, experience, and usage that will give them thebackground in computer graphics increasingly demanded byindustrial recruiters. Michigan Tech's fundamental philosophy is to devotelocal and state funds to develop a basic system and useresearch dollars to extend these capabilities to new andexpanding endeavors, applications, and advancements, ratherthan·reinventing capabilities already developed and available 169on the open market at competitive prices. OVERVIEW ill: TWO GRAPHICS SYSTEMSA
c Society for Engineering Education, 2021Having it all - Infusing Parallel Computational Thinking in the Lower-Level Computer Engineering Curriculum Using Extended Learning ModulesAbstractModifying a course in a well-established program is often challenging due to many factors. Firstof all, it requires removing a significant portion of the current materials to make room for newtopics. In addition, these changes must be reviewed and approved by several layers ofcommittees, which can be a long process. Last but not least, the impact on students could varywidely, depending on their preparation and learning ability and the results would not be knownuntil the changes have been made.At the University of Illinois at Urbana-Champaign, a
through the use of Information Technology working alongside the research team there in collaboration with a diverse group of stakeholders. American c Society for Engineering Education, 2021 Learning a Second Language and Learning a Programming Language: An ExplorationAbstractComputing has become a foundational subject across the engineering disciplines with many first-year engineering curricula either including a course on computing or integrating computingwithin a broader introductory course. However, there is significant evidence that students havedifficulty both learning and applying the computing concepts traditionally covered
Paper ID #33489Peer Mentoring in an Interdisciplinary Computer Science TrainingProgram: Mentor and Student Perspectives and Lessons LearnedProf. Anagha Kulkarni, San Francisco State University Anagha Kulkarni is an Associate Professor of Computer Science at San Francisco State University. Her research investigates problems at the intersection of information retrieval (IR), natural language process- ing (NLP), and machine learning (ML). Her work applies IR, NLP, and ML tools and techniques to multidisciplinary problems in public health, social justice, women’s health, and biomedicine. She leads the following CS education
Paper ID #34474WIP: Integration of Computational Modeling Active Learning ActivitiesWithin a Core Graduate Organ Systems Physiology CourseDr. Timothy E. Allen, University of Virginia Dr. Timothy E. Allen is an Associate Professor in the Department of Biomedical Engineering at the University of Virginia. He received a B.S.E. in Biomedical Engineering at Duke University and M.S. and Ph.D. degrees in Bioengineering at the University of California, San Diego. Dr. Allen’s teaching activities include coordinating the core undergraduate teaching labs and the Capstone Design sequence in the BME department at the University of
Paper ID #33052Applying Complexity Theory and Project-based Learning onto ProjectDesigns of Complex Computing Systems ¨ CampusVictor E. Lugo V´elez, University of Puerto Rico, Mayaguez Born and raised in Puerto Rico. Finished my Bachelor’s in 2017 and my Master’s in 2019 in the University of Puerto Rico, Mayag¨uz Campus. ¨ CampusDr. Nayda G. Santiago, University of Puerto Rico, Mayaguez Nayda G. Santiago is professor at the Electrical and Computer Engineering department, University of Puerto Rico, Mayaguez Campus (UPRM
Paper ID #34473A Hands-on Learning Approach to Introducing Computer Organization andArchitecture to Early-college StudentsDr. D. Cenk Erdil, Sacred Heart University Dr. Erdil has joined Sacred Heart University’s School of Computer Science & Engineering in Fall 2017. Prior to SHU, he has held academic positions at Marist College, Columbia University, and Istanbul Bilgi University. His research interests include using Cloud Computing as Artificial Intelligence Infrastructures, Cyber-Physical Systems and Internet-of-Things, Teaching coding to P-12 students, and Health Informat- ics. He is the author of numerous peer
learning still “work” for as manystudents as possible [5-8]. For courses with hardware-based designs and projects, differentapproaches were adopted to provide hands-on components to students during the pandemic.Some institutions tried to “maximize/optimize lab time” by live-streaming and asking students toshare their experience with their remote team members [9]. Others chose to send design kits tostudents’ homes [10], or designed computer-based simulation projects as alternative project andlab exercises [11]. Most instructors realized and agreed that students’ enjoyment is very important[12] . If students enjoy their courses, they are more likely to stay active, motivated, and engaged[7] . One common practice to improve motivation and
Paper ID #32892Enhancing Student Learning via Hardware in HomeworkDr. Selahattin Sayil, Lamar University Selahattin Sayil received the M.Sc. degree from the Pennsylvania State University, University Park, PA, in 1996 and the Ph.D. degree in Electrical Engineering from Vanderbilt University, TN, in 2000. He is currently a Professor in Electrical Engineering at Lamar University. His teaching interests include online teaching, online labs and value added engineering. He has authored two books, and two book chapters and published about 30 refereed journal articles that include special feature articles. He is a member of
,including (1) binary numbers, (2) ASCII code, (3) Caesar Cipher, (4) looping, (5) algorithmwriting, (6) message transmission, (7) computer networking/topology, and (8) computer security.Learning Objectives for Workshop: By the end of this workshop, attendees should be able to: 1. Explain each activity and present them to students 2. Explain that binary is the language of a computer (i.e., letters, numbers, and symbols have a representation in binary) 3. Explain the purpose of encryption in modern networking to students 4. Explain the basic concept behind Public-Key Encryption to studentsBrief DescriptionChildren use electronic devices daily (especially after online learning during the pandemic) buthave little
years to promote computer science skills in the initialschool years. Nowadays, computational thinking has been widely recognized as a fundamentalskill to be used by everyone in the world by the middle of the 21st Century. Computationalthinking is also considered crucial for developing engineering habits of minds and solvingengineering problems [2]. When students work on coding, they can learn how to design acomputer program while developing their computational thinking skills [3]. Computationalthinking (CT) includes the thought processes involved in formulating problems, solvingproblems, building systems, and human behavior through the lens of computer science concepts[4]. However, little is known about how and to what extent children acquire
improving methods of assessment in engineering learning environments and supporting engineering students. ©American Society for Engineering Education, 2021 Computational Thinking frameworks used in Computational Thinking assessment in higher education. A systematized literature review.AbstractThis research paper presents a literature review of Computational Thinking (CT) frameworks andassessment practices. CT is a 21st century way of solving a problem. It refers specifically to theeffective methods when trying to solve a problem with a machine or other computational tools. Inthe past few years, CT researchers and educationists' significant movement started to look for aformal definition and composition of