Faster Teaching via POMDP Planning

@article{Rafferty2016FasterTV,
  title={Faster Teaching via POMDP Planning},
  author={Anna N. Rafferty and Emma Brunskill and T. Griffiths and Patrick Shafto},
  journal={Cognitive science},
  year={2016},
  volume={40 6},
  pages={
          1290-332
        }
}
  • Anna N. Rafferty, Emma Brunskill, +1 author Patrick Shafto
  • Published 2016
  • Computer Science, Medicine
  • Cognitive science
  • Human and automated tutors attempt to choose pedagogical activities that will maximize student learning, informed by their estimates of the student's current knowledge. There has been substantial research on tracking and modeling student learning, but significantly less attention on how to plan teaching actions and how the assumed student model impacts the resulting plans. We frame the problem of optimally selecting teaching actions using a decision-theoretic approach and show how to formulate… CONTINUE READING
    48 Citations
    Exploring Induced Pedagogical Strategies Through a Markov Decision Process Framework: Lessons Learned
    • 3
    Accelerating Human Learning with Deep Reinforcement Learning
    • 14
    • PDF
    Teaching to Learn: Sequential Teaching of Agents with Inner States
    Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)
    • 5
    • PDF
    Machine Teaching of Active Sequential Learners
    • 8
    • PDF

    References

    SHOWING 1-10 OF 83 REFERENCES
    Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
    • 75
    • PDF
    Scalable POMDPs for Diagnosis and Planning in Intelligent Tutoring Systems
    • 13
    • PDF
    Knowledge tracing: Modeling the acquisition of procedural knowledge
    • 1,256
    • Highly Influential
    Dynamic Teaching in Sequential Decision Making Environments
    • 8
    • PDF