Conference Session

Informing the Critical Understanding of Our Users: Using Data to Develop New and Diverse Services

Collection

2019 ASEE Annual Conference & Exposition

Authors

Kate Mercer, University of Waterloo; Kari D. Weaver, University of Waterloo; Ariel Jocelyn Stables-Kennedy, Western University

Tagged Topics

Diversity

Tagged Divisions

Engineering Libraries

. instruction. Determine the FYE design students’ United A mandatory first-year, firstDenick et al. information literacy 2010 States of term Expository Writing and 135[33] skills, validate citation America Reading Course. analysis, and refine

Conference Session

Making an Impact: Building Support with Data and Design

Collection

2019 ASEE Annual Conference & Exposition

Authors

Hilda Teresa Ayala-Gonzalez, University of Puerto Rico, Mayagüez ; Cristina D. Pomales-Garcia, University of Puerto Rico, Mayaguez; Jaquelina Ester Alvarez, University of Puerto Rico, Mayaguez

Tagged Topics

Diversity

Tagged Divisions

Engineering Libraries

Faculty & Postdoctoral Fellows. She organizes and offers workshops and training on infor- mation literacy skills, scholarly communication, copyright and data management. She is a graduate of the ACRL Information Literacy Immersion Program (2010) and the DuraSpace e-Science Institute (2014). She obtained a Master’s Degree in Library Science and Information Science in 1997 and a post-master’s degree in 1999 from the University of Wisconsin-Madison. c American Society for Engineering Education, 2019 Design, Impact and Best Practices for a Graduate Research and Innovation CenterAbstractSince 2009, the University of Puerto Rico-Mayagüez (UPRM) implemented several

Conference Session

Beneficial Partnerships: Enhancing Library Programming with Strategic Collaborations

Collection

2019 ASEE Annual Conference & Exposition

Authors

Wendy Mann, George Mason University; Theresa M. Calcagno, George Mason University; Deborah Ann Kermer, George Mason University

Tagged Divisions

Engineering Libraries

: Create a tool to recommend places to live in the U.S. based on weather, terrain and population density. o For this project, the students needed average precipitation and temperature data by zip code. Three librarians from DiSC worked with this group to teach them how to identify and extract data from NOAA. There were other geographic aspects of this project that required the use of GIS software to filter by zip code. At this point, DAEN students were not learning about GIS. Use of American Community Survey (ACS) API to extract data to build a model. o In this case the group was concerned that there was something wrong with their data extraction because the data were not being continually