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Fall term 2023

Instructional methodology view:  

Itemexperimentscourselead
active learning methodology in lectures
  1. synthesis of student questions, in real time
  2. open-response quizzes rather than multiple choice
  3. peer-instruction including GAI




short-cycle adaptive problem sets


























For each participating course

  1. Assess our assessments: run midterm and final exams of science courses through GPT-4 and grade the results. Compare to overall student performance. 
  2. Enhance our assessments. Solicit constructive feedback on the exam questions we submit. 
  3. Assess our homework: run homework assignments through GPT-4 and grade the results. Compare to overall student performance. 
  4. Enhance our assignments. Solicit constructive feedback on the homework we submit. 
  5. Ask (require?) students to use GPT-4 on selected assignments to get feedback and examples of how it can be used. 
  6. Course-specific chat-bots- what training data? 
  7. For large lecture classes- merge active learning with GPT
  8. For sections- aggregation of questions, 
  9. For labs- try out data analysis methods and inference
  10. Customized training assembly of material - what do we need to start to capture?
  11. Advising and course selection
  12. Khan academy 

Spring term 2024

Gen Ed 1188 https://gened.fas.harvard.edu/classes/catching-tsunami-riding-gpt-wave Gen ed 1188 course management

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