Define social network analysis and its main analysis methods

(SNA) - Assessment Week 3.1

Social network analysis is the mapping and measuring of relationships and flows between people, groups, organizations, computers, URLs, and other connected information/knowledge entities.

Competency 2.1: Describe the learning analytics data cycle.

Learning Analytics Cycle

In order for us to get all this, we will need a good tool to follow up the procedures or cycle and also to process all the data we want to analyze. It’s also important to have an specific target and data collection source accessible to gather the information.

Describe and navigate the distributed structure of DALMOOC

The course structure is a bit complex at the beginning, it was designed to try to make the students interact to each other in many different communication channels; among all those channels we may find: 

EDX Core 

Which is the core of this MOOC, here we will find several tools that allow the student to get things such: 

• Hangout sessions 
• Video tutorials Lectures (suggested to read)
• Assessments Schedules (indicating when the new lesson will be release and also the due date to complete the assessments) 
• Progress section (students may check their course progress in this section) 
• Syllabus (in this section students may find out the different social media and other tools where all the discussions are being developed) 
• Community (shows a feedback of the main two social media channels where students are discussing course tasks, subjects, clearing doubts, etc; all that happens in those two places are here) 

Define learning analytics and detail types of insight they can provide to educators and learners

Assessment 1.1 Week 01

Learning analytics is becoming defined as an area of research and application and is related to academic analytics, action analytics, and predictive analytics.

It will help us to track and understand:

1. Data trails such:

• Sentiments
• Attitudes
• Social connections
• Intentions
• What we know
• What we learn
• What we might do next

Learning Analytics: Tool Matrix

Assessment Week 1.1

Researching different  data analytic software, either open source and paid options in the market.

WEKA / Open Source Software / URL 

http://www.cs.waikato.ac.nz/~ml/weka/

WEKA DESCRIPTION

The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to this functionality.

It has

·      

• Free availability under the GNU General Public License
• Portability, since it is fully implemented in the Java programming language and thus runs on almost any modern computing platform
• A comprehensive collection of data pre-processing and modeling techniques
• Ease of use due to its graphical user interfaces