- Conference Session
- Computing & Information Technology: Curriculum and Assessment
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- 2018 ASEE Annual Conference & Exposition
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Masoud Naghedolfeizi, Fort Valley State University; Xiangyan Zeng, Fort Valley State University; Chunhua Dong, Fort Valley State University
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Diversity
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Computing and Information Technology
articial intelligence, information processing, and engineering education. He is the author of numerous research and pedagogical articles in his areas of expertise.Dr. Xiangyan Zeng, Fort Valley State University Xiangyan Zeng received her Ph.D. in computer science from University of the Ryukyus, Japan. She is currently a professor of computer science at Fort Valley State University. Her research interests include image processing, pattern recognition and machine learning.Dr. Chunhua Dong, Fort Valley State University c American Society for Engineering Education, 2018 Enhancing Computer Science Program through Revising Curriculum, Peer Tutoring/Mentoring, and Engaging Students in Undergraduate
- Conference Session
- Computing & Information Technology: Curriculum and Assessment
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- 2018 ASEE Annual Conference & Exposition
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Shanon Marie Reckinger, Stanford University; Bryce E. Hughes, Montana State University
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Computing and Information Technology
than on learning activities in general. A collaborativequiz is one based on the idea of paired programming, a technique that has become well-receivedin computer science. This type of quiz requires the pair of students to program together, usingone computer to turn in one final solution. The second method, a cooperative quiz, allowsstudents to collaborate as much or as little as they prefer. For a cooperative quiz, students musteach use their own computer to write and submit their own solution, but any collaboration withtheir partner is allowed. To account for student preferences for active or independent learning,these strategies were also guided by how students are paired. To do this, the Felder-Silvermanlearning style inventory was used to
- Conference Session
- Topics in Computing and Information Technology-II
- Collection
- 2018 ASEE Annual Conference & Exposition
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Farshid Marbouti, San Jose State University; Valerie A. Carr, San Jose State University; Belle Wei, San Jose State University; Morris E. Jones Jr., San Jose State University; Amy Strage
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Diversity
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Computing and Information Technology
project that will look good on theirresume, and assist landing a post education job or entering graduate school. For example, oneselected topic was “Forecasting Ford Motor Company (USA) Sales”. This project wasimplemented in R and used historical data, regression models, and a neural network. A secondtopic was an “Analysis and Model of Firearm Policy to domestic violence”. This project wassearching for a longitudinal relationship between changes in firearm policy, and changes indomestic violence rates. The project was implemented in Python. During the semester, studentsmeet at least every two weeks with an adviser, write a proposal, perform algorithm and codereviews, and provided demos of data collection and analysis progress. The class concludes
- Conference Session
- Computing Technology Applications-I
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- 2018 ASEE Annual Conference & Exposition
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Predrag T. Tosic, University of Idaho; Julie Beeston, University of Idaho
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Computing and Information Technology
-physical systems, Internet-of-Agents, as well as AI, data analytics and knowledge engineering applied to problems in health care. While at the University of Houston (2009 – 2012), he did research in machine learning, multi-agent distributed computing and control, data mining and distributed database systems, emerging behavior in complex networks, ”smart energy” and computational game theory. During his graduate studies and combined five years of non- tenure-track academic research, he has authored over 70 peer-reviewed publications. He has a versatile R&D experience spanning three different high-tech industries, with both big companies (Cisco Systems and Microsoft) and high-tech startups, as well as with a leading
- Conference Session
- Computing Technology Applications-II
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- 2018 ASEE Annual Conference & Exposition
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Laura Kay Dillon, Michigan State University; Michelle Slattery, Peak Research
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Computing and Information Technology
groups on exercises designed to helpthem understand concepts covered in Intro CS that week. In a typical class period, exercisesinvolve several “deconstructionist” activities (e.g., reading, tracing, and debugging code), whichlead up to one or more “constructionist” activities (e.g., writing code) utilizing significantscaffolding and feedback [15]. The instructor and several undergraduate peer leaders circulatethrough the room fielding questions and encouraging students to experiment and drawconclusions from observations. The instructor also calls students’ attention to extra-curricularopportunities with MSU’s student organizations and to study abroad and internship programs.Students view the Khan Academy video How to grow your brain5 early in
- Conference Session
- Topics in Computing and Information Technology-III
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- 2018 ASEE Annual Conference & Exposition
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Landon A. Braden; Scott Alexander Kaiser, Utah Valley University; Reza Kamali-Sarvestani, Utah Valley University; Afsaneh Minaie, Utah Valley University; Paul Weber, Utah Valley University
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Computing and Information Technology
Paper ID #22542Virtual Reality Implementation of a Scanning Electron Microscope in Nan-otechnology EducationLandon A. Braden Landon is an electrical engineering student at Utah Valley University. As a member of UVU’s nan- otechnology team, he writes lesson material and participates in experiments involving nanotechnology fabrication. He is also an amateur inventor.Scott Alexander Kaiser, Utah Valley University Scott is an undergraduate physics student at Utah Valley University. He is working as a research student to develop laboratory experiments for an associate level nanotechnology program.Dr. Reza Kamali-Sarvestani, Utah
- Conference Session
- Tools and Techniques
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- 2018 ASEE Annual Conference & Exposition
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Karen H. Jin, University of New Hampshire; Michael Jonas, University of New Hampshire; Christopher David LeBlanc, University of New Hampshire; Theodore Sean Tavares, University of New Hampshire
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students are required to select aproject, identify a sponsor, write a draft proposal, do an oral presentation on their project,conduct a literature review, maintain a project notebook and submit a final written proposal atthe end of the semester. In the spring semester students must provide an update the first week ofclasses after the winter break along with an interim evaluation from the sponsor. Also, during thespring semester students are required to give updates on the projects during class, write a finalpaper and to participate in UNH-M’s Undergraduate Research Conference with a twenty-minutetalk and a poster presentation on their projects.The ET program has had long-standing relationships with many industrial partners, including theone
- Conference Session
- Computing & Information Technology: Curriculum and Assessment
- Collection
- 2018 ASEE Annual Conference & Exposition
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Predrag T. Tosic, University of Idaho; Julie Beeston, University of Idaho
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Computing and Information Technology
well as AI, data analytics and knowledge engineering applied to problems in health care. While at the University of Houston (2009 – 2012), he did research in machine learning, multi-agent distributed computing and control, data mining and distributed database systems, emerging behavior in complex networks, ”smart energy” and computational game theory. During his graduate studies and combined five years of non- tenure-track academic research, he has authored over 70 peer-reviewed publications. He has a versatile R&D experience spanning three different high-tech industries, with both big companies (Cisco Systems and Microsoft) and high-tech startups, as well as with a leading government research lab (Los Alamos
- Conference Session
- Topics in Computing and Information Technology-II
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- 2018 ASEE Annual Conference & Exposition
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Arshia Khan, University of Minnesota, Duluth
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Computing and Information Technology
invited to this group and the student mentor monitored the difference between the group discussion between women and men. This social platform offered students who were new to programming an avenue to communicate and explore programming techniques and learn from their peers. The topics of the discussion aimed at the implementation of weekly assignments and expanded