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Information Literacy in the Core Workshop for Faculty

ERIAL Project

image from "ERIAL" Project

 

Major Findings

  • Inability to correctly read citations
  • Little or no understanding of cataloging systems
  • No organized search strategies beyond Google style
  • Poor abilities in locating & evaluating resources

Citation Project

Major Findings
  • Students don’t understand their sources or read deeply
  • Students don’t know how to analyze sources
  • Instead of summarizing, students paraphrased, copied from, or patchwrote from individual sentences in their sources
  • Inadvertently plagiarizing
                              

Project Information Literacy

Major Findings - Infographic

 

WSCUC Accreditation

Employers Want Information Literacy Skills

Fake News

Algorithmic Literacy

The Algorithm Study

Cover  page of "The Algorithm Study."

Major Findings

  • The traditional information literacy skills that students learn in college within an academic context may not carry over to their personal and civic lives due to the rapidly changing information ecosystem
  • To be information literate outside of college, students need to learn how information works in the age of algorithms (Head et al., 2020)
  • Algorithms are “lines of coding you don’t see that are intentionally used by many online platforms to personalize content to match users likes and dislikes” (Head et al., 2020, p.43)
  • Algorithms limit the information choices we see, and they often rely on incomplete or inaccurate data that perpetuate existing bias and societal prejudices to paint an unbalanced picture (Noble, 2018; O’Neill, 2016; Eubanks, 2018)
  • For example, search engine results often reinforce prejudiced attitudes (Noble, 2018), and some algorithms used in the areas of employment, loans, advertising, and criminal justice are based on past biases coded in historical data (O’Neill, 2016; Eubanks, 2018).