I have had some time to think about meta issues in performance analysis and analytics. I think this is an exciting and transformational time for this epistemological and ontological domain.
My three posts, written today flowed from a friend’s email in which my friend employed in an institute of sport observed that “the biggest challenge is how we develop and mentor these data people”.
The first post (link) discussed the concept of a sticky campus as a “a digitally-enabled space” and “a learning environment designed to give students everything they need for collaborative and solitary study, and to promote active learning”.
The second post looked at the verbs we use to describe what we do (link). This was prompted by a conjunction of my friend’s email and news of the IBM’s AI Ladder (link). The artificial intelligence ladder has four characteristics: collect; organise; analyse; and infuse.
A third post uses a lens of a critical friend to explore pedagogies and practices in performance analysis and analytics. It uses a seminal paper by Arthur Costa and Bena Kallick (1993) (link) to explore the trusted relationships that grow between friend and analyst. I am particularly interested in the role of a friend is an advocate for success (link). A key point in this post is the investment required by leaders in these learning opportunities “funds should be focused on providing high-quality professional learning experiences”.
Vintage Sheep Hiking (Lenny K Photography, CC BY 2.0)
RLadies London (Twitter)