Conference Session

COED: EE Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Joshua Alexéi García Sheridan, Virginia Tech; Richard M. Goff, Virginia Tech Department of Engineering Education; Carl B Dietrich P.E., Virginia Tech; Vuk Marojevic, Virginia Polytechnic Institute and State University; Nicholas F Polys, Virginia Polytechnic Institute and State University; R. Michael Buehrer, Virginia Tech

Tagged Divisions

Computers in Education

. Dietrich has performed and directed research in the areas of cognitive radio, software defined radio (SDR), multi-antenna systems, and radio wave propagation, and has authored or co-authored more than 50 peer- reviewed journal and conference papers. He has worked at Virginia Tech, Bell Northern Research, and the Defense Information Systems Agency. He has served as chair of the Wireless Innovation Forum’s Educational Special Interest Group, is a member of ASEE and Eta Kappa Nu, Senior Member of IEEE, and an Extra class amateur radio operator.Dr. Vuk Marojevic, Virginia Polytechnic Institute and State University Vuk Marojevic graduated from University of Hannover (MS), Germany, and Polytechnic University of Catalonia (PhD

Conference Session

Computers in Education 6: Best of CoED

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Molly Rebecca Domino, Virginia Polytechnic Institute and State University; Margaret O'Neil Ellis; Dennis Kafura

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

different sectionssigned up for the same time slot, the interviewer reached out and asked if their schedules couldaccommodate a different time. If no alternate time could be scheduled, the student would bethanked for their time but no interview would occur. Students were informed of this plan (and itsreasoning) both in writing and verbally before they signed up. In the case of this semester ofinterviews, all 12 students who signed up were able to be accommodated.Demographic information of the 25 recruited participants can be seen in Table 1. Students werepredominantly (though not exclusively) in their first year of college and did not have any previousexperience with Computer Science. Table 1: Demographic Information of

Conference Session

Computers in Education 4 - Online and Distributed Learning 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Juliana Lynn Fuqua, California State Polytechnic University, Pomona; Faye Linda Wachs, California State Polytechnic University, Pomona; Paul Morrow Nissenson, California State Polytechnic University, Pomona; Deanna Miranda Barrios; Cecilia Nguyen, California State Polytechnic University, Pomona

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

areplacement for professors and peers when they needed help. Nearly all students (96%) providedfavorable ratings about the trustworthiness of the video library and most students trusted the MEOnline videos more than other videos available online. They were particularly happy whenfinding videos by their favorite instructors who were clear, engaging, and knowledgeable. Moststudents plan on using ME Online as alumni for both professional and personal reasons – 88% ofthe students reported they expect to use ME Online to study for licensing exams, graduate schoolwork, professional work, and/or just to learn new things.The study also explores the potential for video libraries like ME Online to help addressachievement gaps among historically disadvantaged

Conference Session

Effective Use of Technology in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Judith Virginia Gutierrez, National Autonomous University of Mexico (UNAM); Frida Diaz Barriga, National Autonomous University of Mexico (UNAM); Nelly Ramirez-Corona, Universidad de las Americas Puebla; Aurelio Lopez-Malo, Universidad de las Americas Puebla; Enrique Palou, Universidad de las Americas Puebla

Tagged Divisions

Computers in Education

students in their PLEs could be furtherclassified by means of Bloom's Revised Taxonomy10 knowledge dimension that represents arange from concrete (factual) to abstract (metacognitive); however this was not part of thisstudy.The first part of the survey11 was divided into 3 sections in which students were asked toevaluate in a five-point scale if they: 1=strongly disagree, 2=disagree, 3=neither agree nordisagree, 4=agree, or 5=strongly agree. The second part of the survey contained open questionsso that students have a space to write about their PLEs as well as his/her learning throughtechnological tools, several information sources, and their PLNs.The information obtained was classified into quantitative and qualitative data. To do this, wecreated

Conference Session

Computers in Education 10 - Technology 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jeffrey Todd McDonald, University of South Alabama; Dawn McKinney, University of South Alabama; Todd R. Andel, University of South Alabama

Tagged Divisions

Computers in Education

of South Alabama’s School of Computing. He received his PhD in Computer Science from the Florida State University (2007), a M.S. in Computer Engineering from the Air Force Institute of Technology (2002), and a B.S. in Computer Engineering from the University of Central Florida (1998). He was a prior faculty member of the Department of Electrical and Computer Engineering at the Air Force Institute of Technology from 2007 to 2012. He is a retired Major in the U.S. Air Force, serving over 23 years specializing in cyber systems defense, research, and education. He has published over 65 peer-reviewed papers and journals related to computer and information security, side-channel analysis, embedded sys- tems security

Conference Session

Robots in Education

Collection

2009 Annual Conference & Exposition

Authors

Ryan Meuth, Missouri University of Science and Technology; Paul Robinette, Missouri University of Science and Technology; Donald Wunsch, Missouri University of Science and Technology

Tagged Divisions

Computers in Education

PresentationsBasic robotics education available online is very lacking. WikiBooks is an online community forcreating a free library of textbooks that anyone can edit.A Robotics WikiBook (http://en.wikibooks.org/wiki/Robotics) has been started, but work on itseems to have stalled; several basic sections are still unwritten. Each student picked oneunwritten section and wrote a comprehensive study on the topic. Each student joined a group of3-4 other students to form a peer editing group. Students also presented their topic to the classand then submitted their work to the instructors after revisions. Students were expected to followWikiBooks' policies while contributing their work to the WikiBook.This project generated over 20 new pages on the Robotics

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

A.T.M. Golam Bari, University of South Florida; Alessio Gaspar, University of South Florida; R. Paul Wiegand, University of Central Florida, School of Modeling, Simulation, & Training; Dmytro Vitel; Kok Cheng Tan; Stephen John Kozakoff, University of South Florida

Tagged Divisions

Computers in Education

. URL http://dl.acm.org/citation.cfm?id=1151869.1151890. [2] Barbara J Ericson, Lauren E Margulieux, and Jochen Rick. Solving parsons problems versus fixing and writing code. In Proceedings of the 17th Koli Calling Conference on Computing Education Research, pages 20–29. ACM, 2017. [3] Juha Helminen, Petri Ihantola, Ville Karavirta, and Lauri Malmi. How do students solve parsons programming problems?: An analysis of interaction traces. In Proceedings of the Ninth Annual International Conference on International Computing Education Research, ICER ’12, pages 119–126, New York, NY, USA, 2012. ACM. ISBN 978-1-4503-1604-0. doi: 10.1145/2361276.2361300. URL http://doi.acm.org/10.1145/2361276.2361300. [4] Ville Karavirta, Juha

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

Krishna Madhavan, Purdue University - West Lafayette; Michael Richey, The Boeing Company; Barry McPherson, The Boeing Company

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

funding policy. Dr. Madhavan also served as Visiting Research Scientist at Microsoft Research, Internet Services Research Group. His research has been published in Nature Nan- otechnology, IEEE Transactions on Computer Graphics and Applications, IEEE Transactions on Learning Technologies, and several other top peer-reviewed venues. Dr. Madhavan currently serves as PI or Co-PI on federal and industry funded projects totaling over $20M.Dr. Michael Richey, The Boeing Company Dr. Michael Richey is a Boeing Associate Technical Fellow currently assigned to support technology and innovation research at The Boeing Company. Michael is responsible for leading a team conducting engineering education research projects that focus

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

Tagged Divisions

Computers in Education

own historical performance in feedbackand not compare with their peers. Since similar to leaderBoard, RPG competition among studentsmay frustrate lagged students to lead fixed mindset trend. One of characters of students with fixedmindset is they feel threatened by the success of others 1 .3.1 Experience Points (XP) and LevelsIn RPGs, experience points (XP) and levels are often used to reward players and demonstrate theirprogress through the game. Players earn XP and level up by accomplishing tasks such asdefeating enemies, overcome obstacles, pick up trophies, etc. We design XP and levels in asimilar way but in an educational context.The first design consideration is whether XP/levels are applicable for only a single course

Conference Session

Computer Gaming and Virtual Reality for Education

Collection

2010 Annual Conference & Exposition

Authors

James Jaurez, National University; Peilin Fu, National University; Ronald Uhlig, National University, San Diego; Shekar Viswanathan, Ph.D., M.B.A., P.E., received a Bachelor of Technology in chemical

Tagged Divisions

Computers in Education

Technology in Education. As a lead researcher for the HP grant, Jaurez is exploring the application of gaming to learning while leveraging the recreational elements of digital entertainment to enhance the rewards of learning. Now, in conjunction with grant Principal Investigator Professor Ronald Uhlig in the School of Engineering and Technology, he is taking wireless communications students and creating game designers out of them. These students are creating new games as part of their engineering courses. They are integrating information architecture and mapping technology into learning management systems, and creating entire games, then writing scholarly papers about their work. As board member for

Conference Session

Computer-Based Learning Models

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

regulation in higher education courses.Their efforts are discussed next.Contemplative practices in higher educationThe Center for Contemplative Mind in Society has spearheaded the inclusion of attentiontraining techniques in education. A book published in December 2013 103 explains the methodsused to teach attention regulation and aims to empower educators to adopt and teach them tostudents. The authors present arguments about the importance of learning how to self-regulateattention and explains that this can be facilitated by the sustained practice of introspective andcontemplative activities such as mindfulness meditation, contemplative reading writing, andlistening, mindful movement, and compassion practices. They present research about

Conference Session

Technical Session 13: Digital Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Hieu-Trung Le, George Mason University; Aditya Johri, George Mason University; Aqdas Malik, George Mason University

Tagged Divisions

Computers in Education

pieces ofinformation. The benefits of using Twitter data for this type of analysis is that the whole dataset can be used, rather than havingto select a small sample from the dataset.In this study, descriptive analysis will look at information and metrics in three main areas of the dataset: tweets, users, and URLs.The outcome of this analysis will provide a picture into the data and provide metrics about the tweets. Analyzing the tweets, thestudy will look at word counts, hashtags that are used, how tweets are produced over time, and the overall statistics of the tweetsthemselves. For the users, the study looks at who write the tweets, and who response to it. In addition, it identify the key playersand characteristics that makes them important in