Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chirantan Mahipal, University of Illinois, Urbana-Champaign; Lawrence Angrave, University of Illinois at Urbana-Champaign; Yuren Xie, University of Illinois at Urbana-Champaign; Biswadeep Chatterjee, University of Illinois, Urbana-Champaign ; Hongyu Wang, University of Illinois, Urbana-Champaign; Zhengru Qian, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

Paper ID #26836”What did I just miss?!” Presenting ClassTranscribe, an Automated Live-captioning and Text-searchable Lecture Video System, and Related Pedagog-ical Best PracticesMr. Chirantan Mahipal, University of Illinois, Urbana-Champaign I’m a Computer Science grad student at University of Illinois, Urbana-Champaign, working under the mentorship of Prof. Lawrence Angrave. Prior to this, I was working as a Research Fellow at Microsoft Research in the Technology for Emerging Markets (TEM) group.Prof. Lawrence Angrave, University of Illinois at Urbana-Champaign Lawrence Angrave is an award winning Teaching Professor at the

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kyle Johnsen, University of Georgia; Siddharth Savadatti, University of Georgia

Tagged Divisions

Computers in Education

learning and what (53%) we may do with this knowledge after graduation” “The ability to visually see the processes and how altering any given Provide ability to factor impacts the rest of the system (e.g. designing the water tower) visualize provides a greater deal of understanding than simply being shown data (17%) and still images and told what happens.” Case study activities “With a basic understanding of Fluids, yes the activities were are tedious and/or manageable, but were also time consuming. I had to do a lot of outside time consuming research for formulas that were not provided but also not

Conference Session

Technical Session 3: The Best of Computers in Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Shaya Wolf, University of Wyoming; Fiona P. Moss, University of Wyoming; Rasana Manandhar, University of Wyoming; Madison Cooley, University of Wyoming; Rafer Cooley, University of Wyoming; Andrea Carneal Burrows Borowczak, University of Wyoming; Mike Borowczak, University of Wyoming

Tagged Divisions

Computers in Education

. She completed her Bachelors in Computer Science in India. Her research interests are machine learning and cyber-security, and she is currently working on her thesis involving the application of machine learning techniques for Network Intrusion Detection.Rasana Manandhar, University of Wyoming Currently a Master’s student at the University of Wyoming working on Continuous Authentication Sys- tems.Madison Cooley, University of Wyoming Madison Cooley is currently an undergraduate computer science student at the University of Wyoming.Rafer Cooley, University of Wyoming Rafer Cooley is pursuing a Ph.D. at the University of Wyoming focusing on secure distributed systems. His interests include bio-inspired algorithms

Conference Session

Technical Session 2: Embedded Systems

Collection

2019 ASEE Annual Conference & Exposition

Authors

J.w. Bruce, Tennessee Technological University; Ryan A. Taylor, University of Alabama

Tagged Divisions

Computers in Education

. c American Society for Engineering Education, 2019 A Long-Term Study of Software Product and Process Metrics in an Embedded Systems Design CourseIn response to input from advisory employers, market demands, and academic studies [1], manycomputer engineering programs have increased focus on embedded computer systems.Embedded systems form a rich application through which computer engineering education canbe made relevant. Embedded computer systems are a timely subject that is immediately useful tostudents in their senior capstone design projects. Furthermore, a large number of our computerengineering graduates currently use or design embedded computer systems in their jobs.A team-based progressive embedded systems

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Asjia Marion-Bethany Gilder, Alabama A&M University; Wichien Choosilp; Michael Allen Jr.; Quantarius Jerome Dean; Yujian Fu P.E., Alabama A&M University

Tagged Divisions

Computers in Education

Science.Dr. Yujian Fu P.E., Alabama A&M University Dr. Yujian Fu is a professor of computer science department at Alabama A&M University. Her research interests fall in formal verification of cyber-physical systems, behavioral analysis of mobile security, soft- ware architecture and design analysis of safety-critical and mission-critical systems. Her projects are supported by NSF, Air Force, and DoD. She has several publications regarding research and educational projects. c American Society for Engineering Education, 2019 2019 ASEE Conference Supporting Object-Oriented Design Learning Outcome Using Android Development

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Zhou Zhang, New York City College of Technology; Andy Zhang, New York City College of Technology; Mingshao Zhang, Southern Illinois University, Edwardsville; Sven K. Esche, Stevens Institute of Technology (School of Engineering and Science)

Tagged Divisions

Computers in Education

teaches both undergraduate and graduate courses related to mechanisms and machine dynamics, integrated product development, solid mechanics and plasticity theory, structural design and analysis, engineering analysis and finite element methods and has interests in remote laboratories, project-based learning and student learning assessment. His research is in the areas of remote sensing and control with applications to remote experimentation as well as modeling of microstructure changes in metal forming processes. He publishes regularly in peer-reviewed conference proceedings and scientific journals. At the 2006 ASEE Annual Conference and Exposition in Chicago, USA, he received the Best Paper Award for his article ’A

Conference Session

Technical Session 11: Topics related to Computer Science

Collection

2019 ASEE Annual Conference & Exposition

Authors

Farzana Rahman, Florida International University; Samy El-Tawab, James Madison University

Tagged Divisions

Computers in Education

used for profiling. Studentswere provided with resources [17, 18] before the discussion, which was used by students, so theycan conduct a meaningful discussion based on the frameworks identified for ethical computingand computing for social good.4. Ethical Considerations in Mobile App Design and ImplementationBelow we summarize some key topics which were identified as being useful to practice mobileapplication development for social good-• Individual and professional responsibility: It is very crucial for students to examine their ideas regarding individual and professional responsibility, especially in the context of the development of a technology that can have a direct impact on user lives. Individual

Conference Session

Technical Session 12: Teaching and Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Florian Schmidt, TU Berlin; Franz-Josef Schmitt, Technische Universität Berlin; Laura Boeger, TU Berlin; Arno Wilhelm-Weidner, Technische Universitaet Berlin; Nicole Torjus

Tagged Divisions

Computers in Education

projects related to sustainability research by giving them the opportunity to presenttheir results to the public. OPLChem starts with best practice examples introduced by studentsfrom former semesters (as part of their presentation) motivating the new students’ researchquestions followed by the investigation period for studying existing literature and collectinginformation and the conception period combining ideas to an experimental concept, definingmethods and considering the setup. Then the students conduct their research in the laboratoryduring the experimental period in groups of 2-4 participants. At the end of the course thestudents have to present a written protocol and produce either a video or a blog where theconducted experiment and the

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald F. DeMara P.E., University of Central Florida; Tian Tian, University of Central Florida; Shadi Sheikhfaal, University of Central Florida; Wendy Howard, University of Central Florida

Tagged Divisions

Computers in Education

. Which technology-enhanced learning methods can address these challenges effectively? 2. What is the best way to properly structure a blended course design for STEM courses?This exploration has led to aset of vetted best practices forblended instruction in STEMcourses which are identified indetail herein.3. STEM Blended Delivery Protocol (STEM-BDP)An overview of the deliverymechanisms utilized in STEM- Figure 3.1: Components of STEM-BDP Protocol. The rightmost image showsBDP is shown in Figure 3.1. hierarchical coverage relationship. The leftmost indented lists identify the student-The three main steps of this facing activities within each of the three componentsdelivery method are OnlineComponents, Face-to-Face Components and

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Sang Myong Yim, United States Military Academy; Christopher J. Lowrance, United States Military Academy; Eric M. Sturzinger, United States Military Academy

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Engineering (EE) from the Virginia Military Institute, Master’s Degree in EE from the George Washington University, and Ph.D. from the University of Louisville in Computer Engineering. He is also a graduate of the Signal Officer Basic Course, Signal Captain’s Career Course, and the Army Command and General Staff College. At West Point, LTC Lowrance also serves as a senior researcher in the Robotics Research Center. He has led multiple research projects related to robotics, artificial intelligence, and machine learning. His research has led to over 25 peer-reviewed journal and conference papers, several of which have won best paper awards.Major Eric M. Sturzinger, United States Military Academy MAJ Eric Sturzinger is a