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  #2  
23rd September 2014, 12:09 PM
Super Moderator
 
Join Date: Apr 2013
Re: Learning Analytics Courses

Here you are looking for syllabus of Learning Analytics and Knowledge as you are looking you here I am providing you.

Syllabus of Learning Analytics and Knowledge

Course Schedule for common colleges:

Week Topic Dates
1 Trends and context: why learning analytics? Why now? January 23-29

2 What are learning analytics? January 30-February5

3 Cases and examples of implementation of learning analytics analytics February 6-12
4 Smarter curriculum: semantic web, linked data, and learning content February 13-19
5 Privacy and ethics: principles for governing LA use and implementation February 20-26
6 Tools, methods, and levels of learning analytics February 27-March 4

7 Open Learning Analytics March 5-11

8 Planning: Society for Learning Analytics Research March 12-18

Guest Speakers:

January 31: Ryan S.J.d. Baker
February 7: John Campbell
February 14: Dragan Gasevic
February 21: Erik Duval
February 28: Shane Dawson
March 6: Simon Buckingham Shum

Technology Used:

Tools for taking the course:
Blogs
Google Groups
Blackboard Collaborate
Daily Newsletter
Twitter
Diigo
etc

Tools for analysis:
SNAPP
CMAP or VUE or Cohere
Many Eyes
NodeXL
Gephi
Gapminder
etc

Data sources:
OECD FactBook
Open data sources: data.gov, Guardian data
etc

Course Facilitator

Simon Buckingham Shum (Open University):

Shane Dawson (University of British Columbia):

Erik Duval (Katholieke Universiteit Leuven):

Dragan Gasevic (Athabasca University):

George Siemens (Athabasca University):
  #3  
28th February 2015, 05:17 PM
Unregistered
Guest
 
Re: Learning Analytics Courses

I am searching for the Learning Analytics and Knowledge course? can you please tell me from where can download its syllabus?
  #4  
1st March 2015, 09:12 AM
Super Moderator
 
Join Date: Apr 2013
Re: Learning Analytics Courses

The learning analytics and knowledge is hosted by the Society for Learning Analytics Research.

Course Facilitators
Simon Buckingham Shum,
Shane Dawson,
Dragan Gasevic,
Erik Duval,
George Siemens

You are asking for the Learning Analytics and Knowledge Syllabus. Here I am uploading a file that contains the Learning Analytics and Knowledge Syllabus. You can download this from here. Here I am also providing you some content of the file. This is as follows:

Course Description:
Capturing and analyzing data has changed how decisions are made and resources are allocated in businesses, journalism, government, and military and intelligence fields. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data is a value point that drives increased organizational efficiency and a competitive advantage. Simply, analytics provide new insight and actionable intelligence. Companies such as Microsoft, IBM, Google, and Amazon are investing heavily in technologies and techniques in helping individuals and organizations makes sense of, and unlock the value within, big data.

Course Outcomes:
At the conclusion of this course, participants will be able to:

1. Describe learning analytics and how it differs from related concepts such as educational datamining and academic analytics.
2. Analyze, plan, and deploy a small learning analytics pilot
3. Develop a matrix of prominent learning analytics tools and the particular analytics strategies each tool addresses.
4. Evaluate current state of learning analytics technologies and describe the benefits and drawbacks to open source and proprietary tool sets.
5. Evaluate and describe the role of semantic web and linked data in next generation educational content.

Technology Used:
Various technologies will be used throughout this course. As the course progresses participants will share additional tools, so the tool set will increase.

Tools for taking the course:
Blogs
Google Groups
Blackboard Collaborate
Daily Newsletter
Twitter
Diigo
etc

Tools for analysis:
SNAPP
CMAP or VUE or Cohere
Many Eyes
NodeXL
R
Gephi
Gapminder
etc

Data sources:
OECD FactBook
Open data sources: data.gov, Guardian data
etc

Course Schedule:
Week Topic Dates
1 Trends and context: why learning analytics? Why now? January 23-29
2 What are learning analytics? January 30-February5
3 Cases and examples of implementation of learning analytics analytics February 6-12
4 Smarter curriculum: semantic web, linked data, and learning content February 13-19
5 Privacy and ethics: principles for governing LA use and implementation February 20-26
6 Tools, methods, and levels of learning analytics February 27-March 4
7 Open Learning Analytics March 5-11
8 Planning: Society for Learning Analytics Research March 12-18

Guest Speakers:

January 31: Ryan S.J.d. Baker
February 7: John Campbell
February 14: Dragan Gasevic
February 21: Erik Duval
February 28: Shane Dawson
March 6: Simon Buckingham Shum

How to participate:

This course has two components:
1. Asynchronous interaction through blogs, twitter, and google groups
2. Synchronous interaction through Blackboard Collaborate for weekly lectures and discussion sessions


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