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Today, we're going to talk about the types of feedback that can help you improve your performance. Can anyone tell me about intrinsic feedback?
Is that the feedback we feel from our own bodies, like muscle soreness?
Exactly, great point! Intrinsic feedback comes from within you. What about extrinsic feedback? Who can explain that?
That's the feedback from coaches and peers, right?
Correct! And what about augmented feedback? Any guesses?
I think that might be like the stats from our devices?
Well said! Augmented feedback is indeed data from devices. Remember the acronym 'IEA' for Intrinsic, Extrinsic, and Augmented to help you remember these types.
Can you give us an example of augmented feedback?
Sure! For instance, your heart rate monitor showing your heart rate during a workout is a great piece of augmented feedback. Let’s summarize: intrinsic feedback is about how you feel, extrinsic is from others, and augmented is data from devices. Who can recall the three types?
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Now that we understand the types of feedback, let's talk about data interpretation. What do we mean by trend identification?
Is it about seeing if my performance is improving or getting worse?
Exactly! You should look for upward or downward trends across your performance records. And what do we mean by variability analysis?
It's about noticing when something feels off, like when I'm not improving anymore?
Very good! It’s the ability to recognize normal ups and downs versus genuine issues like plateaus or regressions. So, how would you react if you notice a decline in your performance?
I guess I’d need to reassess what I’m doing and see if I need a break or something?
Precisely! Understanding the difference between normal fluctuations and legitimate struggles is key. Let’s remember: 'T&P' for Trends and Patterns. Everyone say it together!
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Now that we have feedback and data, how do we use it to adjust our training plans? Who remembers the progression rules?
We should increase the load by 5–10% after three consistent sessions!
Great recall! And what should we do if we experience regression?
Maybe take a deload week and lower the intensity?
Exactly right! A deload week can help your body recover. Now, what strategies can help you keep motivated during this process?
Celebrating small milestones or working with a partner could help!
Yes! Short-term wins and peer accountability are powerful motivators. Remember: 'MSP' for Milestones, Support, and Progression! Let's summarize our session today.
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In this section, students learn about different types of feedback, the significance of interpreting data to identify trends, and how to adjust training plans based on this information. It emphasizes the connection between feedback and progression while maintaining motivation.
This section emphasizes the role of feedback and data in enhancing performance and ensuring continuous growth in physical education. Various types of feedback are introduced, including intrinsic feedback from physical sensations, extrinsic feedback from coaches or peers, and augmented feedback from devices. Students are taught how to analyze data, identifying trends in performance metrics, and understanding what constitutes normal variability versus concerning patterns, such as plateaus or regressions.
Adjustment of training plans is discussed, guiding students on when to increase training intensity or when to implement a deload week if regression occurs. Keeping motivation high is addressed through strategies such as celebrating short-term wins and fostering peer accountability through shared insights and reflections. This holistic approach ensures learners remain engaged while diligently working towards their fitness goals.
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In this chunk, we discuss the different types of feedback that athletes can receive during their training or performance.
Think of feedback types like a car's dashboard.
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This chunk emphasizes the importance of interpreting data collected during training.
Imagine monitoring your savings account over several months.
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In this chunk, we discuss how to adjust training plans based on performance feedback and data.
Think of adjusting your study habits during a semester.
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This chunk highlights strategies for maintaining motivation throughout the training process.
Consider a team aiming to win a championship.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Intrinsic Feedback: The feedback stemming from your own body's feelings during performance.
Extrinsic Feedback: Information provided by others to enhance awareness of performance.
Augmented Feedback: Performance data obtained from wearable technology.
Trend Identification: Recognizing patterns in performance metrics over time.
Progression Rules: Guidelines that suggest how to incrementally increase training loads.
See how the concepts apply in real-world scenarios to understand their practical implications.
An athlete tracking their heart rate through a monitor while exercising, providing valuable augmented feedback.
A runner noticing that their performance times have steadily improved over several weeks, indicating a positive trend.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When you feel it, it’s intrinsic; Coach’s words make it extrinsic. Data comes from tools so bright — that’s augmented feedback, what a sight!
A runner named Alex uses data from her watch to analyze her speed. Intrinsic feelings of fatigue tell her it's hard work, while her coach's feedback guides her training. Together, they help her cross the finish line with confidence.
Use the acronym 'IEA' to remember: I stands for Intrinsic, E for Extrinsic, and A for Augmented feedback.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Intrinsic Feedback
Definition:
Sensory information derived from one's own body, like muscle soreness or joint positioning.
Term: Extrinsic Feedback
Definition:
Feedback and observations provided by coaches, peers, or videos.
Term: Augmented Feedback
Definition:
Data from devices, such as performance stats or metrics from fitness tools.
Term: Trend Identification
Definition:
The process of recognizing patterns or changes in performance over time.
Term: Variability Analysis
Definition:
Examining fluctuations in performance to distinguish between normal variations and concerning trends.
Term: Progression Rules
Definition:
Guidelines dictating how to gradually increase training intensity or load based on performance consistency.