1st Week Complexity in #LAK11

15 01 2011

Getting around

First week in # LAK11 started as an example of complexity theory as it applies to the understanding of emergence and adaptive behaviour:

– The system contains a collection of many interacting objects.
– The behavior of agents/objects is affected by memory or feedback.
– Objects/agents can adapt their strategies based on memory or feedback.
– Exists in an open system, affected by the environment.

– the system appears to be alive.
– Filled with emergent phenomenon that are surprising and can be extreme.
– Absence of an invisible hand or central controller.
– There is a mix of orderly and disorderly behavior.


But part of the focus in #LAK11 is to explore how we can better use data to make sense of complex topics such as:

  • How students interact with social and technological systems, information, and each other
  • Which patterns of activity on the part of the learner produce the best performance (still largely defined by grades)
  • How knowledge is “grown” as individuals interact with others
  • How individual learners develop their conceptual understanding of a topic
  • How teams solve complex problems (stages of development and group formation)
  • The tools and activities that are most effective in solving a particular problem in a particular context
  • How individual learners “eliminate” unneeded or irrelevant ideas and concepts
  • How learners orient themselves in complex environments – wayfinding and social sensemaking

To watch out

  • Graphical excellence is the well-designed presentation of interesting data — a mater of substance, of statistics, and of design.
  • Graphical excellence consists of complex ideas communicated with clarity, precision, and efficiency.
  • Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space.
  • Graphical excellence is nearly always multivariate.
  • And graphical excellence requires telling the truth about the data.

via Invent4Edu


Here are two visualizations, which I do not understand yet,  from diigo group relationships between tags in a Diigo group. The folksonomy (tag cloud) was created by students in upper secondary school in a Biology class.

The data were processed with a forced based algorithm and in figure 2 also Louvain method are used to find communities (groups).


Information Awarness OfficeKynetx , Analytics on Track Dymands need a better explanation on my part in order to understand.


Elias, T. (2011) Learning Analytics: Definitions, Processes, Potential

Learning analytics consist of computers, people, theory and organizations and gives us the opportunities to ask probing questions to enable success:

  • What do we want to achieve?
  • Are we measuring what we should be measuring?
  • How can we create innovative metrics and mashups to illuminate deeper outcoms?
  • Who will be involved in an analytics project?

The existence of collective intelligence which is not strongly correlated with the average or maximum individual intelligence of group members but is correlated with the average social sensitivity of group members, the equality in distribution of conversational turn-taking, and the proportion of females in the group.




One response

16 01 2011
Crónica de LAK11 16/01/2011

[…] gibirger. 1ª semana de complejidad en LAK11 […]

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