rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Learn to Leverage ChatGPT for R Analysis Using Data on How Seating Arrangements Impact Student Friendships and Comfort Levels
  name:
    name part: Tripathi
    role:
      role term: creator
  type of resource: text
  origin info:
    place:
      place term: xx
    date issued: 2025
    issuance: monographic
  language:
    language term: und
  physical description:
    form: remote
    extent: 1 online resource
  abstract: This Dataset demonstrates how to integrate ChatGPT, a large language model, to support quantitative data analysis using R. Users are walked through key steps of data analysis, including data cleaning, statistical analysis, and visualization, offering practical insights into how ChatGPT can assist in automating repetitive tasks, generating R code, and providing explanations for complex statistical concepts. Using an illustrative dataset on school students' friendship networks and participation levels in classroom activities, users are shown how researchers and students can leverage seating maps to analyze social networks and classroom dynamics. The step-by-step instructions include guidance on using ChatGPT to generate code snippets, troubleshoot errors, and refine analyses in real time. Accompanying resources, such as a Student Guide and How-to Guide, provide additional templates and examples, ensuring that users can confidently apply these methods in their own educational research.
  subject:
    title info:
      title: ChatGPT
    genre: Case studies
  subject:
    topic: Artificial intelligence
    topic: Research
    genre: Case studies
  subject:
    topic: Quantitative research
    genre: Case studies
  subject:
    topic: Students
    topic: Social networks
    genre: Case studies
  subject:
    topic: Intelligence artificielle
    topic: Recherche
    genre: Études de cas
  subject:
    topic: Recherche quantitative
    genre: Études de cas
  classification: Q335.7 .T75 2025
  classification: 006.3
  identifier: 9781036211820
  identifier: 1036211827
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OCLKB
    record creation date: 250214
    record change date: 20250311181406.8
    record identifier: in00005619979
    language of cataloging:
      language term: eng