As we enter the New Year, and my PhD application is almost ready to go in the courier to the UK, I am getting set to participate in another course that will relate to my research studies. You may have read previous entries about the Personal Learning Environments Networks and Knowledge course in which I recently participated. It was run as a MOOC, being a Massive Open Online Course. This new course, Introduction to Learning and Knowledge Analytics, will also operate as a MOOC. Taking from the draft syllabus, “Learning and Knowledge Analytics is a conceptual and exploratory introduction to the role of analytics in learning and knowledge development.”
If it is like the last course, there will be a mass of information coming from different directions. Learning to manage it is one of the key skills. My goal is to get through all of the readings, follow the discussions and contribute, attend the live sessions, and reflect by blog where I can. To me, the reflection is such an important part of learning. If I can talk about what I have learned, and apply it to what I already know, then I am making progress. Assuming I do proceed with the doctoral research, this will be a major skill to develop as I encounter all of the literature in the field.
We will be using the tag LAK11. You are welcome to follow along, but why not register and participate to the level that your time and interest allows? Everyone is welcome, there is no cost, and there are no worries about late or missed assignments. You will not be graded, although you are certain to be praised for your contributions.
Thanks to the Technology Enhanced Knowledge Research Institute (TEKRI) at Athabasca University for offering the course, and especially to the facilitators: George Siemens (TEKRI, Athabasca University), Jon Dron (SCIS, Athabasca University), Tanya Elias (Athabasca University), Silvia Currie (BCcampus), and Dave Cormier (University of Prince Edward Island).