Economics of learning |
University
of Economics in Wroclaw
Department of Management and Computer Science
Economics of learning
New aspects in designing modern computer aided self-instruction systems
Ph.D. Dissertation
Supervisor:
Prof. Witold Abramowicz
Wroclaw 1995
Contents
- Introduction
- 1.1.1. Education and technology
- 1.1.2. Novel solutions in demand on social, institutional, regional and national platforms
- 1.1.3. The thesis
- 1.1.4. The goals in the perspective of time
- 1.1.5. The genesis of the dissertation
- 1.1.6. The structure of the dissertation
- Spacing of repetitions in the
practice of learning
- 2.1. Research
background
- 2.1.1. Optimum spacing of repetitions
- 2.1.2. Spacing effect
- 2.1.3. Involuntary habituation
- 2.2. Development of the algorithm for optimally spacing
repetitions (see: Optimization
of learning)
- 2.2.1. First computer applications of repetition spacing algorithms
- 2.2.2. Modifying the function of optimal intervals on the basis of the student’s characteristics
- 2.3. New algorithmic elements
(algorithm used in SuperMemo 6)
- 2.3.1. Introducing the concept of the forgetting index
- 2.3.2. Algorithm SM-6 (see: Algorithm SM-11)
- 2.4. Approximation of the forgetting curve
- 2.5. Simulation of the long-term learning process
- 2.6. Long-term savings resulting from the application of repetition spacing
- 2.1. Research
background
- Exemplary implementation of algorithms for spacing repetitions in a self-instruction system (see: SuperMemo 99)
- Analysis of data collected
from a group of students using a repetition spacing algorithm
- 4.1. Method
- 4.2. Results
- 4.2.1. General learning parameters
- 4.2.2. Forgetting curves
- 4.2.3. Matrices of retention factors
- 4.2.4. Matrices of optimal factors
- 4.2.5. Distribution of intervals
- 4.2.6. Distribution of E-factors
- 4.2.7. Results of the analysis in the light of the economics of learning
- Molecular interpretation of
mechanisms of memory underlying the optimum spacing of repetitions
- 5.1. Interpretation of differences in item difficulty
- 5.2. Two components of long-term memory
- 5.3. Molecular memory
- 5.3.1. Advances in molecular research of memory
- 5.3.2. General observation in reference to memory and learning
- 5.3.3. Hippocampus as the focus of research on long-term potentiation
- 5.3.4. The role of acetylcholine in establishing memories
- 5.3.5. Short-term potentiation
- 5.3.6. Long-term potentiation of synaptic transmission in the hippocampus
- 5.3.7. NMDA receptor as the central factor in establishing LTP
- 5.3.8. Non-NMDA glutamate receptor
- 5.3.9. Retrograde messengers in synaptic transmission
- 5.3.10. Role of calcium
- 5.3.11. Protein kinase C
- 5.3.12. Other kinases involved in establishing LTP
- 5.3.13. New evidence on the role of cAMP in memory and learning
- 5.3.14. Calpain
- 5.3.15. Metabotropic glutamate receptor
- 5.3.16. Gene expression and memory
- 5.3.17. Protein synthesis and memory
- 5.3.18. Protein G
- 5.3.19. Potassium channels
- 5.4. Molecular correlates of the two components of memory
- Knowledge structuring and
representation in learning economics using self-instruction systems based on the active
recall principle (for
a popular scientific version of this text see: 20
rules of formulating knowledge in learning)
- 6.1. Knowledge independent elements of the optimization of self- instruction
- 6.2. Knowledge representation issue in learning
- 6.3. Components of effective knowledge representation in active recall systems
- 6.4. Sequencing items in the stepwise process of acquiring associative knowledge
- 6.5. Techniques for minimizing the complexity of synaptic patterns as a key to keeping E-factors high
- 6.5.1. Comprehension
- 6.5.2. Minimum information principle
- 6.5.3. Narrowing by example
- 6.5.4. Metaphoric approach
- 6.5.5. Vivid approach
- 6.5.6. Graphic approach
- 6.5.7. Enumeration techniques
- 6.5.8. Deletion and graphic deletion
- 6.5.9. Dismembering complex concepts
- 6.5.10. Mnemonic techniques
- 6.5.11. Item univocality and inter-item interference
- 6.6. Planned redundancy as a way to cross-strengthening
synaptic patterns
- 6.6.1. Passive and active approach
- 6.6.2. Support for derivation, reasoning and intelligence
- 6.6.3. Optional reasoning clues, mnemonic clues, context and examples
- 6.7. Complexity of wording vs. comprehension
- 6.8. Additional functionality encapsulated in items
- 6.9. Summary of knowledge representation issues in learning
- Modern hypermedia
systems encompassing the ability to adapt to the properties of human memory and cognition
- 7.1. Fusion of the
hypertext paradigm with techniques targeted against human forgetfulness
- 7.1.1. Implementation shortcomings evident hypertext interfaces
- 7.1.2. New solutions proposed for hypertext systems
- 7.1.3. Integration of repetition spacing technology hypertext interface
- 7.2. Hypermedia systems that account for human perception
and memory
- 7.2.1. Knowledge Machine
- 7.2.2. Technological and economic feasibility of global hyperspace
- 7.2.3. Infosociety or global infobabble
- 7.2.4. Processing attributes and repetition spacing tools incorporated in the hyperspace
- 7.2.5. Global impact of the Knowledge Machine
- 7.1. Fusion of the
hypertext paradigm with techniques targeted against human forgetfulness
- Conclusions
- Acknowledgments
- Glossary (see Glossary 1999)
- References
- Further reading
- Index