Socio-semantic learning analytics

Dr. Chris Teplovs

Problemshift Inc.

Socio-semantic learning analytics

Dr. Chris Teplovs

Problemshift Inc.

Multidimensional learning analytics

Dr. Chris Teplovs

Problemshift Inc.

Current State of Analytics in KF

SWOT Analysis

• Strengths– Analytic tools exist, and they work– Complete control over nature of data collected

• Weaknesses– Fragmented, isolated analytics

• Opportunities– KF architecture is still moldable– Open Learning Analytics

• Threats– Other “learning environments” are building in

analytics

A Modest Proposal

• Knowledge Building is an integrative model: maybe we should stop taking a reductionist approach to analytics (and consider combined dashboards?)

• Focus on interactivity rather than static analytics

Case Study: Tracking Social and Semantic Networks in a Moodle-based

Professional Development Network

http://bit.ly/1DndoV6

[Screen Shot]

The Bigger Picture

From Huang et al. (2015)

Four-layer multidimensional analytics framework

Conceptual

Social

Artifactual

Attributive (skills,interests, etc.)

Concept/Idea

Document/Note/Posting

Person

Trait/Characteristic

Inter-layer link

Endogenous intra-layer link

Exogenous intra-layer link

Multidimensional Network Dynamics

Conceptual

Social

Artifactual

Attributive

Time 1 Time 2

Let’s build these!