臺灣博碩士論文加值系統

An Abstract of The Thesis of
Hsiu-Hui Chen for the degree of Doctor of Philosophy presented on May 30,2002. Title: Constructing the Theory of Motor Learning Curves─Dynamical System Approach
The process of learning two multi segments motor skills were examined as the basis to construct the theory of learning curve in dynamical system perspective. Four adults participated in experiment one learn the pedalor task for 350 trails in 7 individual days. An opto-electronic tracking system was used to record movement trajectories. The variability of movement velocity, movement time and different between two successive trials in space were derived as the temporal and spatial variables to assess the performance. The Cauchy theorem was applied as the criterion to quantify the learning process, and the exponential and power function were test for describing the learning behavior. Four junior high school students participated in experiment two to learning the virtual ball hitting task of 60 trials or 30 minutes a day for 12 individual days. A virtual reality simulation system was used to create the visual information for learning a forehand hit task. A movement image digitize system was used to capture the displacement in 2 dimension space and the differences of two successive trials were derived for analysis. The results of two experiments in this study showed that the exponential function is best for describing the multi segment motor tasks in this study. The study also provided an useful measure device for investigating the high dimensional system of motor learning. These findings provide the empirical evaluation for dynamical system theory for motor learning curve, and also extend our current knowledge on the process of multiple segments motor coordination.

An Abstract of The Thesis of
Hsiu-Hui Chen for the degree of Doctor of Philosophy presented on May 30,2002. Title: Constructing the Theory of Motor Learning Curves─Dynamical System Approach
The process of learning two multi segments motor skills were examined as the basis to construct the theory of learning curve in dynamical system perspective. Four adults participated in experiment one learn the pedalor task for 350 trails in 7 individual days. An opto-electronic tracking system was used to record movement trajectories. The variability of movement velocity, movement time and different between two successive trials in space were derived as the temporal and spatial variables to assess the performance. The Cauchy theorem was applied as the criterion to quantify the learning process, and the exponential and power function were test for describing the learning behavior. Four junior high school students participated in experiment two to learning the virtual ball hitting task of 60 trials or 30 minutes a day for 12 individual days. A virtual reality simulation system was used to create the visual information for learning a forehand hit task. A movement image digitize system was used to capture the displacement in 2 dimension space and the differences of two successive trials were derived for analysis. The results of two experiments in this study showed that the exponential function is best for describing the multi segment motor tasks in this study. The study also provided an useful measure device for investigating the high dimensional system of motor learning. These findings provide the empirical evaluation for dynamical system theory for motor learning curve, and also extend our current knowledge on the process of multiple segments motor coordination.

Table of Contents
Chapter page
1. Introduction 1
Purpose of Study 4
Research Problem and Hypothesis 4
Delimitation 8
Operational Definition 8
Motor Learning Curve 8
Multi Segments 9
Learning Variable 9
Movement Pattern 10
Movement Time 10
Movement Smoothness 10
2. Review of Literature 11
Motor Learning Curves 11
The Definition of Motor Skill and the Way to Quantify 11
Traditional Perspective on Motor Learning Curve 13
Learning Theory and Learning Functions 15
Single Function? 19
Dynamical System Perspective of Motor Learning 23
Concept of Dynamical System Theory 23
Dynamic of Motor Learning 27
Time Scale as Feature of Motor Learning 28
Learning Function and Time Scale─How the Learning Functions Describe the Behavior? 30
Continuous Learning Behavior 30
Discrete Learning Behavior 36
3. Methods 39
Experiment One 39
Participants 42
Apparatus 42
Task 44
Procedure 44
Data Analyses 45
Experiment Two 48
Participants 49
Apparatus 50
Task 51
Procedure 52
Data Analyses 52
4. Results 54
Experiment One 54
Movement Pattern 54
Approaching Behavior 54
Curve Fitting 64
Movement Time 69
Approaching Behavior 69
Curve Fitting 78
Movement Smoothness 83
Experiment Two 91
5. Discussion 95
Experiment One 95
Learning Behavior 95
Quantify the Learning Process 98
Transitory Change 100
Experiment One 104
Change of Movement Pattern 104
6. General discussion 106
Reference 110
Appendix 117
List of Table
Table page
Table 2.1 35
Table 4.1 65
Table 4.2 66
Table 4.3 67
Table 4.4 68
Table 4.5 79
Table 4.6 80
Table 4.7 81
Table 4.8 82
Table 4.9 89
Table 4.10 90
Table 4.11 90
Table 4.12 94
Table 4.13 94
List of Figure
Figure page
Figure 2.1 31
Figure 2.2 32
Figure 2.3 34
Figure 2.4 35
Figure 2.5 37
Figure 2.6 38
Figure 3.1 42
Figure 3.2 43
Figure 3.3 51
Figure 4.1 56
Figure 4.2 57
Figure 4.3 58
Figure 4.4 59
Figure 4.5 60
Figure 4.6 61
List of Figure (continued)Figure page
Figure 4.7 62
Figure 4.8 63
Figure 4.9 70
Figure 4.10 71
Figure 4.11 72
Figure 4.12 73
Figure 4.13 74
Figure 4.14 75
Figure 4.15 76
Figure 4.16 77
Figure 4.17 84
Figure 4.18 85
Figure 4.19 86
Figure 4.20 87
Figure 4.21 91
List of Figure (continued)Figure page
Figure 4.22 92
Figure 4.23 93
Figure 5.1 103

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