Computer Science 683: Introduction to Learning and Knowledge Analytics is delivered in a paced 12- week format using a combination of synchronous and asynchronous tools. You will be required to write regular blog posts and contribute to group work on the Landing (https://landing.athabascau.ca/), a social network hosted by Athabasca University. This is the primary social and interaction space for this course. You will participate in a closed group (accessible only to enrolled learners) as well as in public discussions, based on individual preferences. The following tools on the Landing are detailed in pre-course tutorials: The Wire, blogs, social bookmarking, pages, and discussion forums. The Landing permits granular privacy controls, so each learner can set read permissions on blogs and related resources. Weekly discussion forums and course notes are on the Moodle course home page that you can access through myAU.
You will be introduced to the field of “big data” by exploring growth of information, complexity theory, impact of abundance on decision-making processes, analytics techniques and technologies, and models of adopting analytics-based cultures within organizations.
You will also be introduced to numerous technologies (listed below). This course, however, is not technical in nature; it is intended to serve as an introduction to learning analytics for educators, managers, and administrators. For learners wishing to pursue more technical programs within the AU School of Computing and Information Systems (SCIS) such as data mining and semantic technologies, this course will provide a strong theoretical overview.
All course content will be posted online in keeping with AU’s declaration as Canada’s Open University. All readings in the course are open access. Optional texts are recommended for learners who wish to explore topics in more detail.
You will use a variety of open-access tools and hosted services, including
...and numerous other tools as shared by course participants or required based on discussion.
| Week | Activity |
|---|---|
1 |
Course Introductions on the Moodle Week 1 Discussion Forum Unit 1 – Introduction to Learning and Knowledge Analytics
|
2 |
Unit 1 – Introduction to Learning and Knowledge Analytics
|
3 |
Unit 2 – Rise of Big Data
|
4 |
Unit 2 – Rise of Big Data
|
5 |
Unit 3 – Semantic Web, Linked Data, and Intelligent Curriculum
|
6 |
Unit 3 – Semantic Web, Linked Data, and Intelligent Curriculum
|
7 |
Unit 4 – Tools and Methods of Analytics
|
8 |
Unit 4 – Tools and Methods of Analytics
|
9 |
Unit 4 – Tools and Methods of Analytics
|
10 |
Unit 5 – Analytics and the Institution
|
11 |
Unit 5 – Analytics and the Institution
|
12 |
Unit 6 – Privacy, Security, and Trends in Learning Analytics
|
Updated August 09 2021 by FST Course Production Staff