研究生: |
陳秀惠 Hsiu Hui Chen |
---|---|
論文名稱: |
運動學習曲線理論之建構--動力系統觀點 construactinn a theory of motor learning curves- dynamical system approach |
指導教授: |
林清和
Lin, Ching-Ho 劉有德 Liu, Yeou-Teh |
學位類別: |
博士 Doctor |
系所名稱: |
體育學系 Department of Physical Education |
論文出版年: | 2002 |
畢業學年度: | 90 |
語文別: | 英文 |
論文頁數: | 130 |
中文關鍵詞: | 學習曲線 、多肢段運動 |
英文關鍵詞: | learning curve, movement time, movement smoothness, movement pattern, learning function, multi segments |
論文種類: | 學術論文 |
相關次數: | 點閱:258 下載:49 |
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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.
Reference
Abraham, R. H. & Shaw, C. D. ( 1992). Dynamics-- the geometry of behavior. California: Addison-Wesley.
Adams, J. A. (1961). Warm-up decrement in performance on the pursuit rotor. American Journal of Psychology, 65, 404-414.
Adams, J. A. (1971). A closed-loop theory of motor learning, Journal of Motor Behavior, 3, 111-150.
Adams, J. A. (1987). Historical reviews and appraisal of research on the learning, retention, and transfer of human motor skill. Psychological Bulletin, 101, 41-74.
Adams, J. A. (1990). The changing face of motor learning. Human Movement Science, 9, 209-220.
Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, 89, 369-406.
Beek, P. J. & van Santvoord, A. A. M. (1992). Learning the cascade juggle: A dynamic systems analysis. Journal of Motor Behavior, 24, 85-94.
Bilodeau, E. A., Bilodeau, I. McD., & Schumsky, D. A. (1959). Some effects of introducing and withdrawing knowledge of results early and late in practice. Journal of Experimental Psychology, Vol. 58, 142-144.
Brooks, I., (2001). Fitting experimental data with Mathematica. Retrieved December 4, 2001, from http://www.wolfram.com/solutions/.
Carter, M. C., & Shapiro, D. C. (1984). Control of sequential movements: Evidence for generalized motor programs. Journal of Neurophysiology, 52,787-796.
Cohen, J., Dunbar, D. K., & McClelland, J. L. (1990). On the control of automatic processes: A parallel distributed processing account of the Stroop effect. Psychological Review, 97, 332-361.
Corcos, D. M., Jaric, S., & Gottlieb, G. L. (1996). Electromyographic analysis of performance enhancement. In H. Zelaznik (Ed). Advances in motor learning and control. (pp.123-153). Champain, IL: Human Kinetics.
Crossman, E. R. F. W. (1959). A theory of the acquisition of speed-skill. Ergonomics, 2, 153-166.
Franks, I. M., & Wilberg, R. W. (1982). The generation of movement pattern during the acquisition of a pursuit tracking task. Human Movement Science 1:215-72.
Garnett, P. W. (1997). Chaos theory tamed. Washington: Joseph Henry Press.
Gentile, A. M. (1972). A working model of skill acquisition with application to teaching. Quest, Monograph 17:3-23.
Guthrie, E. R. (1952). The psychology of learning. New York: Harper & Row.
Haken, H. (1996). Movements on a pedalo. In H. Haken, Principles of brain functioning. Berlin: Springer-Verlag.
Heathcote, A., Brown, S., & Mewhort, D. J. K. (2000). The power law repealed: The case for an exponential law of practice. Psychological Bulletin & Review, 7(2), 185-207.
Hirsch, M. W. (1984). The dynamical systems approach to differential equation. Bulletin of the American Mathematical Society, 11, 1-64.
Kaplan, W. (1984). Advance Calculus (3rd ed.). MA: Addison Wesley.
Kelso, J. A. S. (1995). Dynamical Patttern--the self-organization of brain and behavior. Cambridge, Mass: The MIT Press.
Kramer, A. F., Strayer, D. L., & Buckley, J. (1990). Development and transfer of automatic processing. Journal of Experimental Psychology: Human Perception & Performance, 16, 505-522.
Kugler, P. N., Kelso, J.A.S. & Turvey, M. T. (1980). On the concept of coordinative structures as dissipative structures. I: Theoretical lines of convergence. In G.E. Stelmach & J. Requin (Eds.), Tutorials in Motor Behavior (pp.3-47). Amsterdam: North-Holland.
Liu, Y. T. (1996). Multidimensional exploration of bimanual coordination. Unpublished doctoral dissertation, University of Illinois, Illinois.
Liu, Y. T., Mayer-Kress, G., & Newell, K. M. (1999). A piecewise linear map model for the sequential trial strategy of discrete timing tasks. Acta Psychologica, 103, 207-228.
Liu, Y. T., Mayer-Kress, G., & Newell, K. M. (2002). Beyond curve fitting: a dynamical system account of exponential learning in a discrete positioning task. Manuscript submitted for publication.
Logan, G. D. (1988). Toward an instance theory of automatization. Psychological Review, 95,492-527.
Lorenz, E. N. (1993). The essence of chaos. Washington: University of Washington Press.
Magill, R.A. (1993). Motor learning: Concepts and applications (4th ed.). Dubuque, IA: Wm. C. Brown.
Magill, R.A. (1998). Motor learning: Concepts and applications(5th ed.). Dubuque, IA: Wm. C. Brown.
Mackay, D. G. (1982). The problem of flexibility and fluency in skilled behavior. Psychological Review, 89, 483-506.
Mayer, K. G., Newell, K. M., & Liu, Y. T. (1998). What can we learning from learning curve? Manuscript submitted for publication.
Mazur, J. E., & Hastie, R. (1978). Learning as a accumulation: A reexamination of the learning curve. Psychological Bulletin, 85, 1256-1274.
Myung, I. J., Kim, C., & Pitt, M. A. (2000). Toward an explanation of the power law artifact: insights from response surface analysis. Memory & Cognition, 28(5), 832-840.
Newell, A., & Rosenbloom, P. S. (1981). Mechanism of skill acquisition and the law of practice. In J. R. Anderson (Ed.), Cognitive skill and their acquisition (pp. 1-55). Hillsdale, NJ: Erlbaum.
Newell, K. M. (1985). Coordination, control and skill. In D. Goodman, I. Franks, & R. B. Wilberg (Eds.), Differing perspectives in motor learning, memory, and control (pp. 295-318). Amsterdam: North Holland.
Newell, K. M., Liu, Y. T., & Mayer- Kress, G. (1997). The sequential structure of movement outcome in learning a discrete timing task. Journal of Motor Behavior, 29, 366-382.
Newell, K.M.& McDonald, P. V. (1992). Searching for solutions to the coordination function :Learning as exploratory behavior. In : G. E. Stelmach and J. Requin (Eds.), Tutorials in motor neuroscience(pp. 95-108). Amsterdam: North-Holland.
Newell, K. M., Mayer- Kress, G. & Liu, Y. T. ( 2001). Time scale in motor learning and development. Psychological Review, Vol. 108, No. 1, 57-82.
Pear, T. H. (1972). Skill. Journal of Personnel Research, 5, 478-489.
Random house Webster’s universal college dictionary. (1997). NY: McGraw-Hill.
Reber, A. S. (1967). Implicit learning of artificial grammars, Journal of Verbal Learning and Verbal Behavior, 6, 855-863.
Schabenberger, O. (1998). Nonlinear regression with the SAS system. Retrieved March 14, 2002, from http://www.stat.vt.edu/~oliver/SASNlin.htm.
Schmidt, R. A. (1975). A schema theory of discrete motor skill learning. Psychological Review, 82, 225-260.
Schmidt, R. A.(1988). Motor control and learning: A behavior emphasis. (2nd). Champain, IL: Human Kinetics.
Schmidt, R. A., & Lee, D. T. (1999). Motor control and learning: A behavior emphasis. Champain, IL: Human Kinetics.
Schmidt, R. C., & Fitzpatrick, P. (1996). Dynamical perspective on motor learning. In H. N. Zelaznik (Eds.), Advances in motor learning and control. (pp.195-223). Champain, IL: Human Kinetics.
Schoner, G., & Kelso, J. A. S. (1988). A synergetic theory of environmentally-specified and learned pattern of movement coordination: I. Relative phase dynamics. Biological Cybernetics, 58, 71-80. Shaw, R. E. & Alley, T. R. (1985). How to draw learning curves: Their use and justification. In T. D. Johnson & A. T. Pietrewicz (Eds.), Issue in the ecological study of learning (pp. 275-304). Hillsdale, NJ: Erlbaum.
Scholz, J. P. & Kelso, J. A. S. (1989). A quantitative approach to understanding the formation and change of coordinated movement pattern. Journal of Motor Behavior, 21, 122-144.
Fitch, H. L., Tuller, B., & Turvey, M. T. (1982). The Bernstein perspective: III. Turing of coordinative structures with special reference to perception. In J. A. S. Kelso (Eds.), Human motor behavior: an introduction (pp. 271-281). Hillsdale, NJ: Erlbaum.
Shea, C. H., Shebilske, W. L. Worchel, S., (1993). Motor learning and Control. NJ: Prentice Hall.
Snoddy, G. S. (1926). Learning and stability. Journal of Apply Psychology, 10, 1-36.
Sternand, D. (1998). A dynamic systems perspective to perception and action. Research Quarterly for Exercise and Sport, vol. 69(4), 319-325.
Trowbridge, M. H., & Cason, H. (1932). An experimental study of Thorndike’s theory of learning. Journal of General Psychology, 7, 245-258.
Vereijken, B., Van Emmerik, R. E. A., Bongaardt, R., Beek, W. J., & Newell, K. M. (1997). Changing coordinative structures in complex skill acquisition. Human Movement Science, 16, 823-844.
Zanone, P. G., & Kelso, J. A. S. (1997). Coordination dynamics of learning and transfer: Collective and component levels. Journal of Experimental Psychology: Human Perception and Performance, 23, 1454-1480.