Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University; Maria M. Larrondo-Petrie, Florida Atlantic University; Catalina Aranzazu-Suescun, Latin American & Caribbean Consortium of Engineering Institutions

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Diversity

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Computers in Education

Paper ID #30664Definition of a Smart Laboratory Learning Object compatible with OnlineLaboratory Management SystemsDr. Luis Felipe Zapata-Rivera, Embry-Riddle Aeronautical University Felipe Zapata-Rivera got his PhD in Computer Engineering from Florida Atlantic University, in the past worked as a researcher assistant in the group of educational computer in the EAFIT University in Medellin, Colombia. His work area is specifically the online laboratories and assessment systems, he conducted his undergraduate studies in systems engineering and completed his masters in Engineering at EAFIT University. He has developed systems

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

ArmAbstractDevelopment of a MATLAB Robotics Toolbox ROS interface and educational resources for alow-cost robot arm (Dobot Magician) in a senior-level robotics design course are described. Theobjectives of the study were to evaluate the effectiveness of a MATLAB interface to ROSservices to control an articulated robot manipulator and conveyor belt in a laboratory setting.Laboratory exercises are described that expose students to the MATLAB/ROS interface, thebasics of robot manipulator programming and an introduction to computer vision. Student surveydata shows a positive response to the MATLAB/ROS strategy with the robot. The significance ofthis study is that a low-cost robot arm with a professional-level ROS/MATLAB softwareinterface can greatly improve student

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

education because many students can obtain theknowledge through hand-on learning experience. The pictures of the lecture room and laboratoryroom are shown in Figure 1. Lectures may take place in various locations based on the number ofstudents and availability of the classrooms. However, this is the picture for the embedded systemsoftware classroom in Fall 2019. This classroom is designed to support active learning. As it canbe seen, it is not a traditional classroom. It is well designed to practice active learning activitiesfor students’ learning. For the laboratory room, it was remodeled to support variousprogramming and design activities in a collaborative environment in a large open space. Eachtable has an equipment set including oscilloscope

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

VR activities to enhance the learning of the students. The course not only focused onimplementing such technology for the students to use as a learning tool but also engaged thestudents in developing new technology-based activities as part of their semester project.Thesecourses leaned heavily on tools available in the Visualization and Immersion Classroom and theExperiential Reality Laboratory at the university and community college that were developed tosupport this course work. The authors present the learned lessons to support other instructors thatare planning on implementing innovative technology in their courses.1. Introduction In higher education, the growing adoption of innovative pedagogy, such as active andexperiential

Conference Session

Computers in Education Division Technical Session 7: Advanced CS courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Karla Page Varnell, East Carolina University

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Computers in Education

machines. Students would complete their network security labs utilizingthis equipment either on-site or remotely. However, many students expressed frustration to thisroutine, part of the reason being lag in system performance. In response, we considered a no-costprogram through Amazon called Amazon Web Services (AWS) Educate. This program allowsvirtual classrooms to be created. For this course, these classrooms were a gateway that studentsutilized to create and work with various Operating System Instances. This case study examinesan online laboratory environment used in a fundamentals of network security course that coversthe competencies of the CompTIA Security+ certification. The main objectives were to explorethe feasibility of utilizing the no

Conference Session

Computers in Education Division Technical Session 8: Modulus Topics

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Thad B. Welch, Boise State University; Cameron H. G. Wright P.E., University of Wyoming; Michael G. Morrow, University of Wisconsin, Madison

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Computers in Education

demonstration that the derivative operatoris more than a symbolic mathematical operator and much more than just anotheracademic exercise.We have successfully used winDSK, winDSK6, and the latest version, winDSK8, toprovide demonstrations of any number of concepts during outreach (K-12 events), atfreshman motivational events, and in junior, senior, and even graduate ECE courses.IntroductionFor years, students have struggled with learning the significance of the impulse response.This is especially true given that there is no piece of test and measurement equipment(T&ME) in our teaching laboratories that is capable of producing a true impulse. Manyeducators have written about the benefits of demonstrations to aid student learning,especially for some

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

. The makerspace has an individualclassroom, as well as a workstation area used as a laboratory workspace. This course allows forthe Cornerstone project to be a long term project spanning multiple lab sessions, which isadvantageous because it simulates how engineering functions in industry [1]. This involveshands-on learning and utilizes an instructor being present to assist the students [2] [3].The current Cornerstone project involves the construction, and design of a windmill system. Thissystem requires the integration of a windmill, student-built AC motors, DC motors, circuitry,data acquisition, manipulation of the acquired data, and the display of the data results.The scaffolded lesson plans related to programming in ENGR 111 have been

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

from Cairo Univ. M.S. in Bioengineering from the Ohio State and the Univ. of Michigan, and PhD in EE from Purdue. He is a Prof. of ECE at the Univ. of Louisville, and director of the Computer Vision & Image Processing Laboratory, focusing on research and teaching in computer vision, biometrics and biomedical imaging. He introduced over 13 new courses into the ECE curriculum, authored over 400 papers, edited two volumes on deformable models and a textbook on Biomedical Image Analysis (Cambridge Univ. Press, 2014). He graduated over 70 MS and PhD students, and mentored over 20 postdoctoral researchers. He holds seven US patents on object modeling, computer-aided diagnosis, and visualization. He was lead editor 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

keycomputer science concepts.II. Traditional Approach for Enhancing Concepts Traditionally, a curriculum has labs, mostly as separate 1-hour courses, to expose students toimportant concepts in depth. As an example, UTRGV computer science curriculum has CSCI 1170Engineering Computer Science I Laboratory as a separate course to complement CSCI 1370Engineering Computer Science I. The two courses are usually taught by different instructors, andessentially are two separate courses with no interactivity between the two. This approach becomesexpensive in terms of the total number of hours required to complete a degree if one complementseach course with its lab course. Another traditional approach is to increase the number of hours of certain selected

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

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Diversity

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Computers in Education

these barriers, results showed that student CT improved overall. Although a statistical comparison showed that scores from the United States were higher than the scores from Kuwait, Kuwaiti females scored statistically higher than US females for CT abilities. Therefore, the investigation concludes that the STEM outreach program effectively promoted CT concepts in Kuwait.IntroductionThe objective of computational thinking (CT) is to increase computer science (CS)knowledge so that students can take what they learn in the classroom and laboratory andapply that knowledge to the modern workplace. Early CT exposure is critical for futureeducational outcomes because it helps students understand the connection between

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

. Students, who could pick any of the sections based on their course schedule make tworotations during the semester. They spend a total of three weeks in each of the experiential learning facilities(laboratories and other learning environments), and working with a dedicated teaching team to get exposed tovarious project-based approaches in each field of study.Following this model, a set of one-credit courses are also designed to be offered in the second semester,focusing on each particular undergraduate program. Therefore, in their first year, students not only know aboutother programs of study in the school, but also get experience with a deep-dive, program-specific survey courseas a follow-up in their second semester of study. As an added benefit

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

Paper ID #31451Making the Move from C to Python With Mechanical Engineering StudentsDr. Burford J. Furman, San Jose State University Burford ”Buff” Furman has been on the faculty in the Department of Mechanical Engineering at San Jos´e State University since 1994. Prior to coming to SJSU, he worked at IBM in the Silicon Valley (San Jos´e, California) in the development of disk drive actuators and spindle motors. He has also worked as a consultant in the optomechanical and laboratory automation industries. His areas of teaching and research are primarily focused in mechatronics and solar-powered automated

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; Tommi Brooke Kenneda, West Virginia University Institute of Technology

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Diversity

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Computers in Education

Mingyu Lu received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Bei- jing, China, in 1995 and 1997 respectively, and the Ph.D. degree in electrical engineering from the Uni- versity of Illinois at Urbana-Champaign in 2002. From 2002 to 2005, he was a postdoctoral research associate at the Electromagnetics Laboratory in the University of Illinois at Urbana-Champaign. He was an assistant professor with the Department of Electrical Engineering, the University of Texas at Arlington from 2005 to 2012. He joined the Department of Electrical and Computer Engineering, West Virginia University Institute of Technology in 2012, and he is currently a professor. His current research inter- est

Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Caeley Ashtyn Joy Gibbs, Queen's University

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Computers in Education

, 2016.[2] N. Rutten, W. R. van Joolingen, and J. T. van der Veen, “The learning effects of computer simulations in science education,” Computers & Education, vol. 58, no. 1, pp. 136–153, Jan. 2012, doi: 10.1016/j.compedu.2011.07.017.[3] Z. A. Syed et al., “Evaluation of Virtual Reality Based Learning Materials as a Supplement to the Undergraduate Mechanical Engineering Laboratory Experience,” p. 11.[4] A. Akbulut, C. Catal, and B. Yıldız, “On the effectiveness of virtual reality in the education of software engineering,” Computer Applications in Engineering Education, vol. 26, no. 4, pp. 918–927, 2018, doi: 10.1002/cae.21935[5] E. A.-L. Lee, K. W. Wong, and C. C. Fung, “Learning with Virtual Reality: Its

Conference Session

Computers in Education Division Technical Session 11

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James C. Squire P.E., Virginia Military Institute; Gerald Sullivan P.E., Virginia Military Institute; Tom McCormick, Virginia Military Institute

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Computers in Education

Comprehensive Guide to Simulations, Computer Games, and Pedagogy in e-Learning and Other Educational Experiences. San Francisco, CA: Jossey-Bass, 2005.3. D. Laurillard, “Technology Enhanced Learning as a Tool for Pedagogical Innovation,” J. of Philosophy of Education, pp. 521-533, Jan 2009.4. A. M. Adams, “Pedagogical Underpinnings of Computer-Based Learning,” JAN, pp. 5-12, Mar 2004.5. D. Huffman, F. Goldberg, and M. Michlin, “Using Computers to Create Constructivist Learning Environments: Impact on Pedagogy and Achievement,” J. Computers in Mathematics and Science Teaching, vol. 22, no. 2, pp. 151-168, 2003.6. C. Salzmann, D. Gillet, and Y. Piguet, “Massive Online Laboratories for MOOCs: A First edX Scalable

Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ronald J. Hayne, The Citadel

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Computers in Education

laboratories. c American Society for Engineering Education, 2020 Implementing Serial Communication for the Instructional ProcessorAbstractAn Instructional Processor has been developed for use as a design example in an AdvancedDigital Systems course. The architecture is modelled in VHDL and can be simulated usingXilinx design tools to demonstrate operation of the processor. A basic microcontroller is thencreated by adding memory-mapped input/output (I/O). The system can be synthesized andimplemented in hardware on a field programmable gate array (FPGA). The goal of this projectwas to add serial communication capabilities to the Instructional Processor via software andhardware. The enhanced microcontroller can then be

Conference Session

Computers in Education Division Technical Session 7: Advanced CS courses

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Sabahattin Gokhan Ozden, Penn State Abington; Omar M. Ashour, Penn State Erie, the Behrend College; Ashkan Negahban, Pennsylvania State University, School of Graduate Professional Studies

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Computers in Education

points in database design. Database design knowledgeis technical as well as practical. Many skills are required including problem-solving, critical think-ing, creativity, communication, team working, and time management. Traditionally, expositionallectures or closed and hands-on laboratories are used to teach database design. Exams are usuallyused to evaluate knowledge and skills required in the database design process. In the rest of thisarticle, we refer to such methods as traditional methods. Unfortunately, despite their wide use,traditional methods are found to be ineffective for teaching and learning the abstract and complexdomain of database design [2, 3]. While existing teaching methods for design learning providesome clues, there is no

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

instructor feedback ofthose reflections in one of the engineering units that use LAs.The LA ProgramThe LA Program utilizes the three core elements suggested by the Learning Assistant Alliance(https://www.learningassistantalliance.org/). First, in the LA Pedagogy Seminar, LAs receivepedagogical development in in a formal class with their peers, generally in their first term as anLA. Second, LAs meet weekly with the instructor and the graduate teaching assistants as amember of the instructional team to prepare for active learning in class that week. While LAselsewhere are often used in large lecture sections, in the context of the unit studied, the LAsfacilitated learning in smaller studio or laboratory sessions (Koretsky, 2015; Koretsky et al

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

Notebooks.Moreover, the author is aware of several students who have continued to use Notebooks tocomplete other coursework, e.g., data analysis for their laboratory courses.Lessons LearnedThe author has gradually incorporated more of the elements of the approach described above overthe last several semesters. The following discussion is an account of some of the “lessons-learned”from the approach described in the previous section and future directions to be explored.Lesson 1: Students Are Worried About ProgrammingIn the Mechanical Engineering program at the University of Connecticut, students take a general“Introduction to Programming” course in their first year, so they have some experience with Pythonprior to taking Thermodynamic Principles. Nonetheless

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

Lu, West Virginia University Institute of Technology Mingyu Lu received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Bei- jing, China, in 1995 and 1997 respectively, and the Ph.D. degree in electrical engineering from the Uni- versity of Illinois at Urbana-Champaign in 2002. From 2002 to 2005, he was a postdoctoral research associate at the Electromagnetics Laboratory in the University of Illinois at Urbana-Champaign. He was an assistant professor with the Department of Electrical Engineering, the University of Texas at Arlington from 2005 to 2012. He joined the Department of Electrical and Computer Engineering, West Virginia University Institute of Technology in 2012, and he is

Conference Session

Computers in Education Division Technical Session 2: Teaching and Learning

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wayne L. Chang, University of Illinois at Urbana - Champaign; Matthew West, University of Illinois at Urbana - Champaign; Craig Zilles, University of Illinois at Urbana - Champaign; David Mussulman, University of Illinois at Urbana - Champaign; Carleen Sacris, University of Illinois at Urbana-Champaign

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Computers in Education

are assessed can matter more than how they are taught; students decidewhat to learn based mostly on how they are assessed and whether they are given opportunities torespond to feedback from those assessments 11 . Laboratory studies have shown that learning andretention of knowledge is enhanced through retrieval practice that incorporates feedback 16;23 ,increased use of formative assessment 7 , and distributed practice 6;21 .Computerized testing centers were developed to reduce the overhead of running exams even inlarge (200+ student) classes, to make it easier to perform assessment in a fashion that positivelyimpacts education. In the three courses discussed in this paper (Intro. Statics, Intro. Dynamics,and Intro. Solid Mechanics), shorter

Conference Session

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

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Fadi Castronovo, California State University, East Bay; Jesus Oliver Ph.D., California State University, East Bay; Andrew Stanciulescu, California State University, East Bay

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Computers in Education

experimental group were asked to use the Automation andVisualization Laboratory (AV Lab) from the School of Engineering. The AV Lab is equippedwith a variety of visualization solutions, on the group or individual level. For large groups, theAV lab is equipped with an 18’ Hoylu​TM​ Huddlewall projection system designed to facilitateintegrated and high-performing teams in performing design and problem-solving processes, seeFig. 1. For individuals and smaller groups, the AV lab is equipped with high definition virtualreality and augmented reality headsets, such as the Oculus Rift, HTC Vive, and HoloLens. TheHoylu​TM​ Huddlewall is capable of projecting students’ handwritten work. The system usescamera-enabled pens and paper with a pixelated pattern

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

ComputerScience Education, 2004.[17] McKinney, D. and L.F. Denton. Affective Assessment of Team Skills in Agile CS1 Labs:The Good, the Bad, and the Ugly, Proceedings of the 36th SIGCSE Technical Symposium onComputer Science Education, 2005.[18] McKinney, D. Where do I belong: A team-based, inquiry-based, and service-learningapproach to an introductory course in computer science. Sixth Annual South AlabamaConference on Teaching and Learning. Mobile, AL, 2016.[19] McKinney, D. and L.F. Denton. Developing Collaborative Skills Early in the CSCurriculum in a Laboratory Environment, Proceedings of the 37th SIGCSE TechnicalSymposium on Computer Science Education, 2006.[20] Michaelsen, L. K., A.B. Knight, and L.D. Fink. Team-based learning: A transformative

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

analysis of unsteady flow simulations. He has completed a research internship at Argonne National Laboratory in summer 2018. He received his BSc (2014) and MSc (2016) in Software Engineering at the Vienna University of Technology. During his Master’s pro- gram, he conducted research at the VRVis Research Center in Vienna and continued acquiring experience during a research internship at the University of California, Irvine.Miss Wenqing Chang, Xi’an Jiaotong University Wenqing Chang is currently a senior student in Information Engineering from Xi’an Jiaotong Univer- sity. In 2018, she joined NUS Summer Workshop, developing a 2D webpage game using WebGL and rendering 3D animation using OpenGL. From the fall of 2018 to