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Resources for School of Education

Learning Objectives, Website Reliability

Through this library session, students will learn to:

  • apply the SIFT method to investigate the source of information on a website. 
  • assess the authority of information creators.
  • discriminate between websites for academic evidence and those for idea generation.  
  • employ an evidenced-based method to confirm information found online. 

Website Reliability resources

SIFT: The four moves to investigate information in the digital world

Image showing the four moves of SIFT: Stop; Investigate the source; Find better coverage; Trace claims; quotes and media to the original context

hapgood.us/2019/06/19/sift-the-four-moves

 

 

See the full video and lesson plan about "Investigating the Source" by following the link below.

 

Delve further into the SIFT method by following the link below to learn more about the 'F' and 'T' portions: find better coverage and trace claims, quotes, and media to the original context.

Website Reliability library session materials

Screenshot of an article title from The Atlantic titled No One Is Prepared for Hagfish Slime and visual of a car covered in hagfish slime

Resources related to Teaching Digital Citizenship & Reliability

Resources related to Media Bias & Fake News

Citing AI

The overall format for a citation of AI-generated text in APA-style is the following:

Company. (Year). AI Name (version) [Descriptor]. URL

Some helpful notes:

  • The 'company' for ChatGPT is Open AI. 
  • The 'company' for My AI is Snapchat.
  • The 'version' can be the date in which you accessed and used the AI product. For example: (Feb 8 version)
  • The 'descriptor' is used for all nonstandard sources and is a quick description of the type of source being cited. If using an AI product like ChatGPT or My AI, the description would be [Large language model]. A large language model is an AI foundation model that can be used for text generation and prompt-engineered text (like ChatGPT and My AI).

 

More information about citing AI products can be found through the following link:

Please email smaiorani@sjf.edu with issues (broken links, missing info), and they will be addressed as soon as possible.