Types of Artificial Intelligence in Education lec 9
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Questions and Answers

What kind of cues do MOSS and JPlag ignore when analyzing assignments for signs of plagiarism?

  • Auditory cues
  • Textual cues
  • Emotional cues
  • Visual cues (correct)
  • What are the target output values in training a neural network to recognize plagiarism?

  • Textual values indicating student identity
  • Binary values indicating plagiarism presence (correct)
  • Continuous values indicating plagiarism intensity
  • Boolean values indicating student enrollment
  • Which feature is measured by 'Similarity of Comments (SOC)'?

  • Comment length
  • Whitespace usage
  • Identical comments (correct)
  • Comment relevance
  • What does 'Similarity of Misspelled Comments (SMC)' check for in student submissions?

    <p>Misspelled words</p> Signup and view all the answers

    What is the purpose of using ASpell in the context of 'Similarity of Misspelled Comments (SMC)'?

    <p>Check for misspelled words</p> Signup and view all the answers

    How are the input values represented in training a neural network to recognize plagiarism?

    <p>A vector of values indicating features presence</p> Signup and view all the answers

    What determines the target output values for training a neural network to detect plagiarism?

    <p>'Hand-tagging' each pair of assignments</p> Signup and view all the answers

    What do binary target output values indicate in the context of neural network training?

    <p>'0' for non-cheating cases, '1' for cheating cases</p> Signup and view all the answers

    'Identical comments or use of whitespace can be obvious indicators of plagiarism.' What type of indicators are these according to the text?

    <p>'Visual'</p> Signup and view all the answers

    'Run MOSS on submissions and normalize the percentage result.' What is the purpose of normalizing the percentage result?

    <p>'To standardize the comparison'</p> Signup and view all the answers

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