Optimization of Learning, the Master's Thesis presented at Technical University of Poznan, summarizes the early work over SuperMemo, development of first versions of SuperMemo for DOS, and includes a couple of words by the author of the method on the future of repetition spacing in education.

The full text of the dissertation can be found on SuperMemo CD-ROM titles (e.g. Cross Country or Video English). Below only the table of contents is presented for providing a general insight into the subject matter. Hyperlinks indicate related texts available at this site that are based on but not the same as the original. In particular Summary has been corrected and updated with new terminology.


Technical University of Poznan
Computer Science Center

specialization: Programming Techniques and Information Systems
individual specialization: Application of Computers in Human Biology

Piotr A. Wozniak

Optimization of learning

A new approach and computer application

Master's Thesis

Supervisor:
Prof. Zbigniew Kierzkowski

Poznan 1990


Contents

1. Introduction

2. General principles of the SuperMemo method

3. Account of research leading to the formulation of the SuperMemo method

3.1. Determination of the approximate function of optimal intervals

3.2. Application of a computer to improve the results obtained in working with the SuperMemo method

3.3. Further improvement of the computer-based SuperMemo method: modification of the function of optimal intervals

3.4. Further improvement of SuperMemo: introduction of the matrix of optimal factors

3.5. Random dispersion of optimal intervals

3.6. Improving the predetermined matrix of optimal factors

3.7. Propagation of changes across the matrix of optimal factors

3.8. Evaluation of the SM-5 algorithm

3.9. Forgetting rate in case of the cessation of repetitions

4. Description of an exemplary software implementation of the SuperMemo method

5. Simulation of the memorization process conducted along the SuperMemo schedule

5.1. Measurement of workloads related to the maintenance of a constant-sized database

5.2. Measurement of the progress of a student who works the same amount of time everyday

5.3. Measurement of the forgetting rate after ceasing repetitions

6. Strategic prerequisites of effective work with SuperMemo

7. Using SuperMemo without a computer

8. SuperMemo in the eyes of users

9. Application of SuperMemo in stochastic learning

9.1 SuperMemo-based touch typing training

9.2. Drum training based on the SuperMemo method

10. Physiology and biochemistry of memory in the light of the SuperMemo method

10.1. Location and character of memory

10.2. Stochastic and deterministic learning

10.2.1. Hypothetical model of stochastic learning

10.2.3. Hypothetical model of deterministic learning

10.3. Molecular basis of neuronal plasticity

10.4. Molecular model of memory comprising elements of the SuperMemo theory

11.Model of intermittent learning

11.1. Formulation of the problem of intermittent learning

11.2. Solution to the problem of intermittent learning

11.3. Interpretation of the forgetting curve

11.4. Verification of the model of intermittent learning.

12. A vision of modern education based on SuperMemo

Epilogue

Glossary

Summary

References

Suggestions for further reading

Acknowledgments


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