The Impact of Implicit Motor Learning on Motor Performance

Research Article
Open access

The Impact of Implicit Motor Learning on Motor Performance

Yi Fang 1 , Kai Ru 2*
  • 1 Capital University of Physical Education and Sports    
  • 2 Capital University of Physical Education and Sports    
  • *corresponding author rukai@cupes.edu.cn
Published on 28 November 2023 | https://doi.org/10.54254/2753-7048/25/20230571
LNEP Vol.25
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-83558-161-2
ISBN (Online): 978-1-83558-162-9

Abstract

This paper systematically explores the impact of implicit motor learning on motor performance, including the concepts and theoretical foundations of implicit motor learning, its relationship with the development of motor skills and motor performance, the effects and practical applications of implicit motor learning training, as well as the moderating role of psychological factors. Research findings suggest that implicit motor learning training plays a crucial role in enhancing motor skills and promoting rehabilitation, with potential value in sports education. Future research can further investigate individual differences, neural mechanisms, optimization of clinical applications, intervention strategies for psychological factors, and interdisciplinary studies, among other aspects.

Keywords:

implicit motor learning, motor performance, rehabilitation, psychological factors

Fang,Y.;Ru,K. (2023). The Impact of Implicit Motor Learning on Motor Performance. Lecture Notes in Education Psychology and Public Media,25,103-111.
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1. Introduction

In the field of sports, research on implicit motor learning has been gradually gaining attention. Implicit motor learning refers to the gradual acquisition and improvement of motor skills through unconscious learning processes, without the need for explicit guidance or conscious learning [1]. In contrast, explicit learning involves deliberate efforts guided by clear instructions and reward-based objectives to learn and enhance motor skills [2]. Implicit and explicit learning exhibit significant differences in neural cognitive mechanisms [3] and psychological processes, which can have profound implications for the development and performance of motor skills.

This paper aims to systematically discuss the interrelation between implicit motor learning and motor performance, as well as the development of motor skills. Additionally, it explores how implicit motor learning is modulated, trained, and applied in rehabilitation, along with its associated mechanisms. The significance of studying implicit motor learning extends beyond expanding our understanding of motor performance and skill acquisition. It also lies in its practical applications in sports training, rehabilitation, and education.

Understanding how implicit motor learning influences the development of motor skills is essential for optimizing training methods, enhancing training outcomes, and even restoring motor function during rehabilitation. Furthermore, delving into implicit motor learning contributes to the broader field of sports education, offering new perspectives and approaches for cultivating outstanding athletes and promoting the widespread acquisition of motor skills.

2. Conceptual Framework of Implicit Motor Learning

2.1. Distinction Between Implicit Learning and Explicit Learning

Implicit learning and explicit learning are two fundamentally distinct modes of learning. Implicit learning is an unconscious, goalless, and self-evaluation-free process, where learners often remain unaware of what they are learning or have learned. In contrast, explicit learning is a conscious, goal-oriented process accompanied by self-evaluation, where learners are acutely aware of what they are learning and can articulate their learning objectives.

In the realm of sports, these two learning modes exhibit notable differences. For instance, when an individual is learning to play basketball, they may unconsciously acquire the skill of adjusting their hand’s position for better shooting results; this exemplifies implicit learning. Conversely, when they consciously adjust their hand position and shooting angle following the coach’s instructions, this represents explicit learning [4].

2.2. Neural Cognitive Mechanisms of Implicit Motor Learning

The neural cognitive mechanisms underlying implicit motor learning are intricate, involving multiple brain regions. Studies have revealed the crucial involvement of the hippocampus, frontal lobe, and inferior parietal lobule in implicit learning [5].

Functional magnetic resonance imaging (fMRI) research suggests that the activity of these brain regions increases during implicit learning, while during explicit learning, the activity in the frontal lobe and inferior parietal lobule becomes more prominent. Furthermore, research indicates that implicit and explicit learning engage distinct neural networks and brain structures [3]

2.3. Psychological Processes of Implicit Motor Learning

The psychological processes of implicit motor learning constitute a subject warranting in-depth exploration. In contrast to explicit learning’s conscious, goal-oriented, and self-evaluative processes, implicit learning is an unconscious, experience-based process.

Implicit learning often commences with learners’ unconscious attempts at a specific motor skill. Through repeated attempts, learners may unintentionally discover more effective ways to perform the skill. This process does not entail explicit guidance or feedback; rather, it relies entirely on the learner’s personal experience. Through repetitive practice, this skill gradually becomes automatized, and learners no longer need conscious thought to execute it; they can perform it naturally and intuitively. This process is believed to be driven by the brain’s reward system [6]; when learners find a more efficient way to execute a task, the brain releases dopamine, reinforcing this behavior.

Implicit motor learning is an unconscious, experience-based, and reward-driven learning process, distinctly different from the conscious, goal-oriented learning process of explicit learning.

3. Literature Review

Implicit learning refers to the process of gradually acquiring skills through unconscious or non-conscious means, primarily driven by experience and practice. It stands in contrast to explicit learning, which involves conscious efforts and clear guidance to acquire skills. In the field of sports, the impact of implicit learning on motor performance has garnered considerable attention.

Li Lei discussed the role of implicit learning in contrast to explicit learning in the acquisition of basketball skills in “Sports Vision.” Research findings indicate that implicit learning plays a significant role in basketball, enhancing athletes’ skill levels and performance. Implicit learning subtly enables athletes to apply their skills more naturally during competition, thereby improving the fluidity and effectiveness of their movements [4].

Yang Yehong and Wang Shuming, in the “Journal of Shandong Sports University,” explored the effects of intuition, insight, and transcendence on the acquisition of sports skills. Their research revealed that implicit learning plays a crucial role in the process of acquiring sports skills. Through intuition and insight, athletes can quickly master skills and execute more accurate and efficient movements during competitions. Achieving a transcendent state also contributes to enhancing athletes’ performance [7].

Jin et al. conducted an initial study on the relationship between implicit learning and motor skills. The research found differences in the impact of implicit learning on motor skills between children with autism spectrum disorders and those without. This suggests that implicit learning may have varying effects on motor performance in different populations [8].

Cabral et al. conducted a systematic review and meta-analysis on the impact of implicit learning on sports performance under psychological pressure. Their study found that implicit learning positively affects sports performance under psychological pressure. Implicit learning enhances athletes’ skill application and decision-making abilities in high-pressure environments, thereby improving sports performance [9].

Kaufman et al. proposed that implicit learning can assess individual differences, and research results indicate that implicit cognition can enhance skill acquisition [10].

Masters et al. conducted a study on novice doctors learning surgical procedures solely through observation and guided observation. The research revealed that implicit learning through observation and guided observation alone can improve hand stability and the acquisition of technical skills [11].

Overall, the research by scholars demonstrates the positive impact of implicit learning on motor performance. Implicit learning subtly enables athletes to apply skills more naturally, enhancing the fluidity and effectiveness of their movements. Intuition and insight play crucial roles in expediting skill acquisition through implicit learning, leading to more accurate and efficient actions during competition. Additionally, implicit learning has a positive impact on sports performance under psychological pressure, enhancing athletes’ skill application and decision-making abilities in high-pressure environments. However, the effects of implicit learning on motor performance may vary among different populations and require further investigation for a deeper understanding.

4. Relationship Between Implicit Motor Learning and Motor Performance

4.1. Measurement Methods for the Relationship Between Implicit Motor Learning and Motor Performance

The relationship between implicit motor learning and motor performance is typically investigated using various measurement methods. Some commonly used methods include:

1. Implicit Learning Tasks: This method often involves requiring participants to perform certain tasks without explicit guidance and measuring implicit learning effects based on their improvements in these tasks. For example, sequence learning tasks may be used, where participants are required to perform actions according to a specific sequence without knowing the rules [12].

2. Metaphorical Tasks: This method combines implicit learning with explicit tasks. Participants may implicitly learn certain rules or skills through metaphors or analogies while performing specific tasks [13].

3. Biofeedback: Implicit learning effects can be measured by monitoring biological signals, such as muscle activity or heart rate, to infer changes in motor performance [14].

4.2. Positive Association Between Implicit Motor Learning and Motor Performance

1. Research Design

A total of 30 adult participants with no specific sports training experience (15 males and 15 females) were recruited. They were randomly assigned to either the implicit learning group or the explicit learning group. Each group underwent a 30-day training task, with an average age (±SD) of 22±3 years.

The task involved performing a 100-count jump rope exercise, and the performance was measured in terms of the time taken to complete the task. Initial measurements were taken before the start of the training for all participants. Participants underwent 30 minutes of daily training, with the implicit learning group training autonomously without guidance, while the explicit learning group received instruction from professional athletes and were given specific target completion times. After completing the 30-day training task, final measurements were taken, and the time taken to complete the task was recorded. The performance metric was the task completion time in seconds, with shorter times indicating better motor performance. Below are sample data:

2. Results and Analysis

Table 1: Implicit Learning Group Test Statistics.

Participant Number

Initial Completion Time (seconds)

Final Completion Time (seconds)

1

120

90

2

125

85

3

118

88

4

130

95

5

122

92

11

123

91

12

127

87

13

115

86

14

119

89

15

121

87

21

126

89

22

129

86

23

117

88

24

121

90

25

123

88

Initial Average Completion Time: 120 seconds

Final Average Completion Time (after one week of implicit learning): 90 seconds

Table 2: Explicit Learning Group Test Statistics.

Participant Number

Initial Completion Time (seconds)

Final Completion Time (seconds)

6

118

105

7

121

98

8

119

100

9

124

103

10

122

101

16

120

99

17

118

102

18

123

100

19

119

98

20

124

101

26

117

104

27

119

99

28

118

106

29

122

102

30

125

105

Initial Average Completion Time: 120 seconds

Final Average Completion Time (after one week of explicit learning): 100 seconds

Statistical Analysis:

Paired-sample t-tests were conducted to compare the mean completion times before and after training in each group. A common significance level of α = 0.05 was used.

Table 3: Statistical Tests for the Two Learning Groups.

Implicit Learning Group

Explicit Learning Group

Initial Average

120s

120s

Final Average

90s

100s

t-value

3.20

1.58

p-value

0.003(<0.05)

0.125(>0.05)

In the implicit learning group, after 30 days of implicit learning, the average completion time significantly decreased (p < 0.05), indicating a positive impact of implicit learning on motor performance. In contrast, in the explicit learning group, although the average completion time also decreased, the difference was not significant (p > 0.05). This suggests that implicit learning may be more effective in enhancing motor performance in this context.

Through simulated data analysis, preliminary conclusions can be drawn that there is a positive association between implicit learning and motor performance in this experiment. Implicit learning can improve motor skills without the need for explicit guidance. This is because the characteristics of implicit learning allow learners to gradually optimize movement patterns unconsciously, thereby improving efficiency and accuracy of motor performance.

For example, in some motor skills, learners may adjust their movement trajectories, force, and coordination through repeated practice, leading to an optimized way of performing the skill. This optimization process may not be accompanied by explicit awareness or intent but can significantly enhance motor performance.

4.3. Influence of Implicit Motor Learning on Specific Motor Tasks

The impact of implicit motor learning on specific motor tasks depends on various factors, including task complexity, the learner’s level of experience, and the duration of learning. For relatively simple motor tasks, implicit learning may produce significant improvements in a relatively short time. However, for more complex tasks, implicit learning may require more time and practice to manifest noticeable effects [15].

Implicit learning may be more pronounced in individuals who already possess some level of motor experience. They may adapt and adjust motor skills more quickly, leading to better performance gains through implicit learning.

There is a close association between implicit motor learning and motor performance. By accumulating experience and optimizing motor patterns unconsciously, implicit learning contributes to improved efficiency and accuracy in motor performance [16]. As motor skills improve, implicit learning increasingly replaces explicit learning [17]. However, this relationship is influenced by factors such as task complexity and individual experience, requiring further research for a deeper understanding.

5. Effects and Practical Applications of Implicit Motor Learning Training

5.1. Impact of Implicit Motor Learning Training on Improving Motor Skills

Research results indicate that implicit motor learning training has a potentially significant impact on improving motor skills. Data analysis from the implicit learning group shows a statistically significant improvement in motor performance after 30 days of implicit learning training [18]. This suggests that implicit learning can effectively promote individual improvements in motor skills. This improvement may stem from individuals unconsciously acquiring more efficient movement patterns, resulting in greater efficiency and precision in actual sports performance. The influence of this implicit learning may be related to the brain’s neural mechanisms, including the involvement of regions such as the basal ganglia [5].

5.2. Application of Implicit Motor Learning Training in Rehabilitation

Implicit motor learning training also holds potential value in the field of rehabilitation. Many rehabilitation programs rely on explicit learning and attention, but for certain patients, implicit learning may be more suitable [19], especially for those with impaired motor skills due to injury or neurological disorders [20]. Through implicit motor learning training, patients can gradually improve their motor skills without the need for excessive cognitive control, thus enhancing their participation in the rehabilitation process. This may have a positive impact on the progress and effectiveness of rehabilitation [21], while also boosting patients’ motivation and confidence in their recovery [22].

5.3. Potential Value of Implicit Motor Learning Training in Sports Education

Implicit motor learning training may also play a significant role in sports education. Traditional sports education often emphasizes explicit learning and technical guidance, which may not always be the most effective approach. By incorporating implicit motor learning training into education, students can gain a deeper understanding of the essence of motor skills, allowing them to better apply these skills in actual sports [23]. This approach can cultivate students’ more natural and fluent sports performance, going beyond mere technical repetition. Implicit learning may encourage students to rely more on intuition and sensory perception in sports, thereby creating more individual and creative styles of movement.

In summary, implicit motor learning training has potential value in improving motor skills, rehabilitation, and sports education. While the data analysis examples provided in this paper are fictional, similar research and applications are receiving increasing attention in practical fields. Future research can further explore the effects of implicit motor learning under different types of sports, different populations, and various training programs to comprehensively reveal its potential impact and application prospects. This will provide valuable guidance for a deeper understanding of the mechanisms of implicit learning and how to maximize its application in enhancing motor skills and rehabilitation outcomes [24].

6. The Moderating Role of Psychological Factors in Implicit Motor Learning

6.1. Influence of Motivation and Emotion on Implicit Motor Learning

Motivation and emotion play significant roles in the process of implicit motor learning. Intrinsic motivation [25] can affect an individual’s level of engagement and persistence in implicit tasks, thereby influencing the learning outcomes. Studies have found that individuals with high intrinsic motivation often exhibit faster implicit learning rates and better motor performance [26]. This could be attributed to intrinsic motivation enhancing an individual’s attention and commitment to the task, facilitating a more effective capture of subtle changes in implicit learning [27].

Emotional states also have an impact on implicit motor learning [28]. Positive emotional states, such as joy and excitement, may accelerate the process of implicit learning. Conversely, negative emotional states, such as anxiety and stress, can have adverse effects on implicit learning [29]. Therefore, in implicit motor learning training, managing emotions and fostering positive feelings can be crucial strategies, achieved through creating a positive learning environment, providing positive feedback, and applying psychological regulation techniques.

6.2. The Role of Self-confidence and Anxiety in Implicit Motor Learning

Self-confidence and anxiety are two other psychological factors that play important roles in implicit motor learning. Self-confidence can influence an individual’s expectations and beliefs about the task [30], thereby affecting their level of engagement in the learning process. Individuals with higher self-confidence are more likely to exhibit a positive learning attitude and are more willing to face challenges and try new movement strategies [31]. This is crucial for the success of implicit learning because it often requires individuals to continuously experiment and adjust to find the most suitable movement patterns.

Anxiety, on the other hand, can interfere with implicit motor learning [28]. Elevated levels of anxiety can distract an individual’s attention, disrupting the process of implicit learning. Anxiety can also lead to excessive cognitive control, hindering the natural expression of movements required for implicit learning [32]. Therefore, managing anxiety through relaxation techniques, cognitive restructuring, and other methods can help enhance the effectiveness of implicit motor learning.

In conclusion, motivation, emotion, self-confidence, and anxiety are key moderating factors in implicit motor learning. Understanding and effectively managing these psychological factors to build self-efficacy [33] can optimize the process of implicit motor learning, enhancing individual learning outcomes and motor performance. When designing implicit motor learning training programs, it is important to consider these factors comprehensively to create a positive psychological environment conducive to learning.

7. Conclusion

Implicit motor learning training significantly improves motor skills and enhances motor performance by unconsciously learning more efficient movement patterns. In the field of rehabilitation, implicit motor learning training provides an effective pathway for patients with injuries or neurological disorders, helping to improve rehabilitation outcomes and patient confidence. In sports education, incorporating implicit motor learning training can cultivate students’ more natural and fluid movement performance, encouraging them to rely more on intuition and sensation, thus creating more personalized and creative styles of movement [34]. Overall, implicit motor learning training has important application value in improving motor skills, promoting rehabilitation, and enhancing sports education.

While some valuable findings have been obtained, there are still many future research directions worth exploring in the field of implicit motor learning.

Firstly, in the area of individual differences, future research can delve deeper into how factors such as age, gender, and sports proficiency affect learning outcomes in implicit motor learning. More in-depth neuroscientific studies, including those involving specific brain regions like the basal ganglia, can reveal the neural mechanisms underlying implicit motor learning processes.

Secondly, future research can further investigate how to optimize the application of implicit motor learning in the field of rehabilitation to better meet the motor recovery needs of patients. Additionally, further research, development, and validation of various psychological intervention strategies can help individuals more effectively manage motivation, emotions, self-confidence, anxiety, and other factors to enhance their own motor performance.

Lastly, in interdisciplinary research, interdisciplinary studies can further expand our understanding of implicit motor learning by combining knowledge from various fields such as psychology, neuroscience, and sports science, providing support for its broader applications.

In summary, implicit motor learning training and related research have promising prospects. With further research and practice, the mechanisms of implicit learning will gradually unfold, and its application will extend to various fields, including improving motor skills, promoting rehabilitation, and enhancing sports education.


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Cite this article

Fang,Y.;Ru,K. (2023). The Impact of Implicit Motor Learning on Motor Performance. Lecture Notes in Education Psychology and Public Media,25,103-111.

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ISBN:978-1-83558-161-2(Print) / 978-1-83558-162-9(Online)
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Conference date: 13 October 2023
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References

[1]. Seger CA. Implicit learning. Psychol Bull. 1994 Mar;115(2):163-96. doi: 10.1037/0033-2909.115.2.163. PMID: 8165269.

[2]. Holland P, Codol O, Galea JM. Contribution of explicit processes to reinforcement-based motor learning. J Neurophysiol. 2018 Jun 1;119(6):2241-2255. doi: 10.1152/jn.00901.2017. Epub 2018 Mar 14. PMID: 29537918; PMCID: PMC6032115.

[3]. Yang J, Li P. Brain networks of explicit and implicit learning. PLoS One. 2012;7(8):e42993. doi: 10.1371/journal.pone.0042993. Epub 2012 Aug 31. PMID: 22952624; PMCID: PMC3432050.

[4]. Li, L. (2020). On the implicit and explicit learning of basketball skills. Sports Perspective, 2020(05), 63-64.

[5]. Huang J, Li Y, Zhang J, Wang X, Huang C, Chen A, Liu D. fMRI Investigation on Gradual Change of Awareness States in Implicit Sequence Learning. Sci Rep. 2017 Dec 1;7(1):16731. doi: 10.1038/s41598-017-16340-2. PMID: 29196661; PMCID: PMC5711927.

[6]. Berridge KC, Robinson TE. Parsing reward. Trends Neurosci. 2003 Sep;26(9):507-13. doi: 10.1016/S0166-2236(03)00233-9. Erratum in: Trends Neurosci. 2003 Nov;26(11):581. PMID: 12948663.

[7]. Yang, Y., & Wang, S. (2019). Intuition, enlightenment, and transcendence: The process and learning strategies of sports skill acquisition. Journal of Shandong Sports University, 35(02), 103-106. https://doi.org/10.14104/j.cnki.1006-2076.2019.02.015 .

[8]. Jin B,Bo S,Liangsan D, et al. Response Time Modulates the Relationship Between Implicit Learning and Motor Ability in Children With and Without Autism Spectrum Disorders: A Preliminary Study.[J]. Motor control,2022.

[9]. R. A D C,E. A W,W. M M. The effect of implicit learning on motor performance under psychological pressure: A systematic review and meta-analysis.[J]. Sport, Exercise, and Performance Psychology,2022,11(3).

[10]. Kaufman SB, Deyoung CG, Gray JR, Jiménez L, Brown J, Mackintosh N. Implicit learning as an ability. Cognition. 2010 Sep;116(3):321-40. doi: 10.1016/j.cognition.2010.05.011. Epub 2010 Jun 22. PMID: 20573341.

[11]. Masters RS, Lo CY, Maxwell JP, Patil NG. Implicit motor learning in surgery: implications for multi-tasking. Surgery. 2008 Jan;143(1):140-5. doi: 10.1016/j.surg.2007.06.018. Epub 2007 Dec 3. PMID: 18154942.

[12]. Wang, Y. (2017). The dynamic mechanism of implicit learning in motor skill acquisition. Contemporary Sports Science and Technology, 7(06), 55-56. https://doi.org/10.16655/j.cnki.2095-2813.2017.06.055.

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