Sport Informatics and Analytics/Design blueprint

Metadata

 * Level: Masters.
 * Discipline: Sport Science.
 * Notional learning hours: 150 hours.
 * Hashtags: #UCSIA16, #cssia17, #cssia18 and #cssia19.

Intended target audience
This course is designed for people who work in sport performance environments or who aspire to do so. We anticipate that the content here might be of interest to a wider audience for whom sport is an important part of their lives.

Prerequisite knowledge
Although we introduce some basic ideas around statistics and visualisation, no prior knowledge is anticipated in the planning of the course content. Some experience of sport performance environments would support learners to explore in depth some of the issues raised in the course.

Course aim
The aim of this OERu course is to explore the intersection of informatics and analytics in sport contexts. We use four themes as the scaffold for the course.

By the end of your online activity, in the context of the aim for this course, we hope you have:


 * Thought about your personal learning journey in a course that is founded on connectivist principles.
 * Engaged in some pattern recognition activities.
 * Explored diverse approaches to performance monitoring.
 * Considered how you might use augmented information about sport performance with a range of audiences.

Introductions (T1)
This theme introduces you to informatics and analytics and locates them both within the study of sport performance. It discusses a connectivist approach to learning in an open, online course. For more information about T1 see this page of the course.

Pattern recognition (T2)
This theme explores a range of options available to you in the analysis of sport performance. It includes a discussion of the use of R in data analysis. For more information about T2 see this page of the course.

Performance monitoring (T3)
This theme explores the development and use of technologies to monitor performance. It discusses ethical issues relating to the quantification of the self. For more information about T3 see this page of the course.

Audiences and messages (T4)
This theme considers some of the issues relating to the visualisation and sharing of data. It includes a discussion of digital storytelling. There is a discussion of the use of feedforward to share data with a range of audiences. For more information about T4 see this page of the course.

Learning outcomes
We anticipate that at the completion of this course, you will be able to:


 * Demonstrate disciplined and critical insights into the observation, recording and analysis of performance in sport training and competition environments.
 * Apply knowledge of better practice in sport informatics and analytics to your own sport contexts.
 * Reflect critically on the use of sport informatics and analytics in order to anticipate and develop opportunities to transform your own and others’ performances.

Development and delivery
This is a stand alone course. It has formed part of the University of Canberra's Master of High Performance Sport degree.

Learners are encouraged to develop their own pathway through the course content but are encouraged to visit the Introductions theme first.

Assessment strategy
The course is offered in two modes. The first is to engage with the content as a personal learning opportunity. This is not assessed. The second is to submit an electronic portfolio (ePortfolio) as the assessment item for the course. This requires registration with the University of Canberra. There is more information about the assessment for this course on this page of the course.

Student-content

 * Each of the four themes incorporates a short video signpost to provide an orientation or stimulus.
 * Learners will work through questions designed for independent study.
 * There are learning challenges included in the course.
 * These learning challenges are building blocks for formative and summative ePortfolio assessment.

Student-student
Students can interact with others following this course in a variety of ways. These include:
 * The use of hashtags, for example #cssia17 to exchange ideas in social media.
 * Commentaries on each other's ePortfolio content and reflections.
 * Forums, including University of Canberra's learning management and content management systems, to discuss and share ideas and reflections.

Student-support
The course is supported with a commitment by the University of Canberra to digital stewardship.