Week 11 – Managing Data

Week 11 – Managing Data

Personalised performance observation involves exactly that – personalising your performance. This can be done in a number of ways when managing data. This term highlights to me the most effective ways when analysing an athlete’s performance. As each athlete is different not only in their field but individually, it is important to think of an array of different techniques when managing data.

Some examples of these can involve:

- Sensor data input = feedback of power, velocity

- Core modules = data entry, alerts (identifies over training, warns the athlete to stop to avoid injury), planner

- Optional Modules = advanced data (normative data for athlete advantage)

As a teacher and or a coach it is important that we have a good understanding managing data. In the classroom as a teacher it is appropriate to know where the students are on the educational scale. As a coach managing data is highly important as coaching highly involves taking in different numbers and keeping a record of the athlete’s performance. As a coach it is within our profession to have a great knowledge of managing various data as this is our job – our expertise.

Making sense of data also highlights to me the aspect of drawing the necessary data from the athlete analysis, and leaving behind the data that isn’t necessary in the athlete’s performance/success. An athlete should be able to access and visually view how far they have come both physically and mentally over a period of time. This is crucial for successful positive motivation.