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CS298, Programming is Hard — Or at Least It Used to Be: Educational…

- - - - Digital divide
      - Incorrect answers leading to incorrect mental models
      - Challenge for instructors who lack the support to address the impact these AI assistants have on education
- - - - "Back to Stone Age"
      - Legitimate approach
        
        Using AI detectors
        
        Open communication with students
        
        redesigning assignments and exams to mitigate the risk of plagiarism
        
        incorporating more complex or nuanced questions that require deeper understanding and analysis can make it more difficult for students to rely solely in AI tools or external resources
    - - Emphasis must shift from following instructions to asking the right questions
      - foster critical thinking
      - open discussions shoulde be promoted to simulate student imagination and creativity
      - Increased focus in debugging, as this is an area where ChatGPT lacks capabilities
      - Data driven assignments can help enhance students' analysis skills, as ChatGPT is known to be less stable with numerical calculation
    - - The challenge lies in the need for educators to adapt and evolve their teching practices to effectively leverage the benefits of this technological evolution
      - ChatGPT limitations
        
        ChatGPT is problematic and may lead to limited educational experiences
        
        Should be used in conjunction with other resources
      - Academic Integrity
        
        Potential to facilitate cheating
    - - there is a need for further promotion and education on the potential benefits aand responsible use of ChatGPT in the field