Conference Session

Topics in Computing and Information Technology-I

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kari L. Jordan Ph.D., The Carpentries; Marianne Corvellec, Institute for Globally Distributed Open Research and Education (IGDORE); Elizabeth D. Wickes, University of Illinois at Urbana-Champaign; Naupaka B. Zimmerman, University of San Francisco; Jonah M. Duckles, Software Carpentry; Tracy K. Teal, The Carpentries

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

, intensivepractice, and skill mastery.Short-form (1-2 hour) workshops are often the most universal offering for training. They are theeasiest to book rooms for (or offer online as webinars), find instructors for, and create materialfor. For the participant, one hour is a reasonable amount of time to find in their day and there arerarely any follow-up requirements. Thus, there is very little risk of making a bad time investmentfor the learner, and the instructional team has a lot of flexibility in repeating the training andexperimenting with content. From research methods to retirement plans, this format is anexceptional platform for learners to explore new tools and services. Even though hands-onpractice can be quite limited in this format, this discovery

Conference Session

Computing and Information Technology Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Franz J. Kurfess, California Polytechnic State University, San Luis Obispo; Maria Pantoja, California Polytechnic State University, San Luis Obispo; Irene Humer, California Polytechnic State University, San Luis Obispo

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

positiveattitude during their collaboration activities. The data set was provided by the Shark Lab at CSULong Beach and we gratefully acknowledge the support we received from the shark expertsthere, in particular the director, Dr. Chris Lowe, and Graduate Student, Patrick Rex. References1. M. LaalSeyed, and M. Ghodsi (2012) “Benefits of collaborative learning” Elsevier Proceedings - Social and Behavioral Sciences, Volume 31, Pages 486-490.2. E.F., Barkley, K.P. Cross, and C.H. Major (2005). Collaborative learning techniques: A handbook for college faculty. San Francisco: Jossey-Bass.3. D.W Johnson, R. Johnson, and K. Smith (1998). Active learning: Cooperation in the college classroom. Edina, MN: Interaction Book Company.4. D. Kantor (2010

Conference Session

Topics in Computing

Collection

2019 ASEE Annual Conference & Exposition

Authors

Naeem Seliya, Ohio Northern University; Heath Joseph LeBlanc, Ohio Northern University; J. Blake Hylton, Ohio Northern University; Ziad Youssfi, Ohio Northern University; Matthew Schweinefuss

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology

filters provide relatively less similarity ingeneral. Among all five feature selection methods examined, GainRatio is determined as the bestapproach for our case study, because it identifies words relevant to the subject that highlycorrelate to a particular level (class) of Propensity for Exploration even if they are sparselyrepresented in the dataset. These words can be viewed as the diamonds in the rough thatdistinguish the question. We note that like most data mining based studies, the case study resultsare determined on the underlying dataset and the algorithms investigated. Our proposedapproach, however, can be applied to other curiosity exercise datasets as well, and provide therelevant experts a better insight into the student data.The

Conference Session

Computing and Information Technology Division Technical Session 3

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Alberto Cureg Cruz, California State University, Bakersfield; Antonio-Angel L. Medel, California State University Bakersfield; Anthony Chistoper Bianchi, California State University, Bakersfield; Vincent Wong On, California State University, Bakersfield; Melissa Danforth, California State University, Bakersfield

Tagged Divisions

Computing and Information Technology

Integrative Graduate Education Research Traineeship (IGERT). He is the co- author of five refereed journal articles, four book chapters, twelve refereed conference proceedings with full paper, and holds two co-patent applications. Dr. Cruz was awarded funding to support his research from the Consolidated Central Valley Table Grape Pest and Disease Control District, the CSU Program for Education and Research in Biotechnology and the California Energy Research Center. His referee experience includes perennial membership on program committees for the IEEE Conference on Tools with Artificial Intelligence (ICTAI), the IEEE Conference on Artificial Intelligence for Industries (AI4I). He was also the Finance and Registration