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CAL2011, April 2011, Manchester UK
http://www.cal-conference.elsevier.com



Towards Discourse-Centric
Learning Analytics
Simon Buckingham Shum & Anna De Liddo

Open Learning Network Project
The Open University UK
(William & Flora Hewlett Foundation 2009-12)
http://people.kmi.open.ac.uk/sbs
http://people.kmi.open.ac.uk/anna
OLnet	
  is	
  	
  
             searching	
  out	
  the	
  
                  evidence	
  for	
  	
  
                 effec4ve	
  OER,	
  
              and	
  building	
  an	
  	
  
                 Evidence	
  Hub	
  	
  
              —	
  a	
  living	
  	
  map	
  	
  
                 by,	
  of	
  and	
  for	
  
          the	
  OER	
  movement	
  —	
  
            and	
  those	
  we	
  need	
  
                    to	
  impact	
  




http://www.flickr.com/photos/bartelomeus/4184705426/
Phenomena of interest
analytics on qualitative aspects of discourse

•  What is the impact/significance of this resource, or
   concept?

•  Who is tackling this challenge?

•  What claims are being made?

•  What is the evidence to support this view?

•  Who is building on whose work?

        ...analytics such as these are central to knowledge-building,
       but cannot be derived from unstructured discourse platforms
    (cf. CSCL/CSCA research esp. CSILE/KnowledgeForum: Scardamalia & Bereiter)
OpenEd Evidence Hub (alpha): ci.olnet.org
collective intelligence for the OER movement




                                           4
OpenEd Evidence Hub (alpha): ci.olnet.org
collective intelligence for the OER movement




                                           5
Knowledge-building platform:




h"p://cohere.open.ac.uk	
  


Convergence of…
web annotation
social bookmarking
concept mapping
structured debate              6
Structured deliberation and debate in which Questions,
Evidence and Connections are first class entities
(linkable, addressable, embeddable, contestable…)




                                                     7	
  
Structured deliberation and debate in which Questions,
Evidence and Connections are first class entities
(linkable, addressable, embeddable, contestable…)




                                                     8	
  
Grounding nodes in Web resources (FFox extension)
User-defined visual language:
defaults provided...




                                10	
  
OpenEd Evidence Hub:
domain-specific language for types of OER Evidence


                  Case Study


                  Literature Analysis


                  Story – Educator


                  Story – Learner


                  Experiment
Discourse as a web of meaningfully connected nodes




                                                     12	
  
Visualizing a discourse network
— but unfiltered this may be unwieldy
Semantic filter on a discourse network
                                                                                              Visualizing	
  mul7ple	
  learners’	
  
                                                                                           interpreta7ons	
  of	
  global	
  warming	
  
                                                                                                              sources	
  
                                                                                                                 	
  
                                                                                          Connec7ons	
  have	
  been	
  filtered	
  by	
  a	
  
                                                                                              set	
  of	
  seman7c	
  rela7onships	
  
                                                                                                 grouped	
  as	
  Consistency	
  




De Liddo, A. and Buckingham Shum, S. (2010). Cohere: A prototype for contested collective intelligence. In: ACM Computer Supported Cooperative Work
(CSCW 2010) - Workshop: Collective Intelligence In Organizations, February 6-10, 2010, Savannah, Georgia, USA. http://oro.open.ac.uk/19554
An agent alerts you to new contributions of potential interest
Conceptual	
                  Social	
  
 Network	
                   Network	
  




             Discourse	
  
             Network	
  
Network topology analytics
Node size = centrality; Link width = frequency
Analytics on a user’s use of node types
Analytics on a user’s use of link types




                                                                                                   Neutral link type

                                                                                                   Positive link type

                                                                                                   Negative link type




De Liddo, A., Buckingham Shum, S., Quinto, I., Bachler, M. and Cannavacciuolo, L.(2011). Discourse-Centric Learning Analytics.
Proc. 1st Int. Conf. Learning Analytics & Knowledge. Feb. 27-Mar 1, 2011, Banff. Eprint: http://oro.open.ac.uk/25829
Analytics on whether a user connects her ideas
    to others’Comparison	
  of	
  one’s	
  own	
  ideas	
  to	
  others	
  
              ideas
                                                                        Does the learner compare his/her own
                                                                        ideas to that of peers, and if so, in what
                                                                        ways?




De Liddo, A., Buckingham Shum, S., Quinto, I., Bachler, M. and Cannavacciuolo, L.(2011). Discourse-Centric Learning Analytics.
Proc. 1st Int. Conf. Learning Analytics & Knowledge. Feb. 27-Mar 1, 2011, Banff. Eprint: http://oro.open.ac.uk/25829
Analytics on whether a user acts as a broker,
    connecting broker:	
  connec4ng	
  oideas
            Link	
   other people’s ther	
  people’s	
  ideas
                                                            	
  
                                                                            Does the learner act as a broker,
                                                                            connecting the ideas of his/her peers,
                                                                            and if so, in what ways?




De Liddo, A., Buckingham Shum, S., Quinto, I., Bachler, M. and Cannavacciuolo, L.(2011). Discourse-Centric Learning Analytics.
Proc. 1st Int. Conf. Learning Analytics & Knowledge. Feb. 27-Mar 1, 2011, Banff. Eprint: http://oro.open.ac.uk/25829
Next steps...


•  Evaluation studies with students

•  More active platform (eg. recommender)

•  Automated rhetorical text analysis

•  Rollout and evaluation of Open Edu Evidence Hub
http://olnet.org




http://cohere.open.ac.uk




   http://ci.olnet.org

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CAL2011 Discourse-Centric Learning Analytics Briefing

  • 1. CAL2011, April 2011, Manchester UK http://www.cal-conference.elsevier.com Towards Discourse-Centric Learning Analytics Simon Buckingham Shum & Anna De Liddo Open Learning Network Project The Open University UK (William & Flora Hewlett Foundation 2009-12) http://people.kmi.open.ac.uk/sbs http://people.kmi.open.ac.uk/anna
  • 2. OLnet  is     searching  out  the   evidence  for     effec4ve  OER,   and  building  an     Evidence  Hub     —  a  living    map     by,  of  and  for   the  OER  movement  —   and  those  we  need   to  impact   http://www.flickr.com/photos/bartelomeus/4184705426/
  • 3. Phenomena of interest analytics on qualitative aspects of discourse •  What is the impact/significance of this resource, or concept? •  Who is tackling this challenge? •  What claims are being made? •  What is the evidence to support this view? •  Who is building on whose work? ...analytics such as these are central to knowledge-building, but cannot be derived from unstructured discourse platforms (cf. CSCL/CSCA research esp. CSILE/KnowledgeForum: Scardamalia & Bereiter)
  • 4. OpenEd Evidence Hub (alpha): ci.olnet.org collective intelligence for the OER movement 4
  • 5. OpenEd Evidence Hub (alpha): ci.olnet.org collective intelligence for the OER movement 5
  • 6. Knowledge-building platform: h"p://cohere.open.ac.uk   Convergence of… web annotation social bookmarking concept mapping structured debate 6
  • 7. Structured deliberation and debate in which Questions, Evidence and Connections are first class entities (linkable, addressable, embeddable, contestable…) 7  
  • 8. Structured deliberation and debate in which Questions, Evidence and Connections are first class entities (linkable, addressable, embeddable, contestable…) 8  
  • 9. Grounding nodes in Web resources (FFox extension)
  • 11. OpenEd Evidence Hub: domain-specific language for types of OER Evidence Case Study Literature Analysis Story – Educator Story – Learner Experiment
  • 12. Discourse as a web of meaningfully connected nodes 12  
  • 13. Visualizing a discourse network — but unfiltered this may be unwieldy
  • 14. Semantic filter on a discourse network Visualizing  mul7ple  learners’   interpreta7ons  of  global  warming   sources     Connec7ons  have  been  filtered  by  a   set  of  seman7c  rela7onships   grouped  as  Consistency   De Liddo, A. and Buckingham Shum, S. (2010). Cohere: A prototype for contested collective intelligence. In: ACM Computer Supported Cooperative Work (CSCW 2010) - Workshop: Collective Intelligence In Organizations, February 6-10, 2010, Savannah, Georgia, USA. http://oro.open.ac.uk/19554
  • 15. An agent alerts you to new contributions of potential interest
  • 16. Conceptual   Social   Network   Network   Discourse   Network  
  • 17. Network topology analytics Node size = centrality; Link width = frequency
  • 18. Analytics on a user’s use of node types
  • 19. Analytics on a user’s use of link types Neutral link type Positive link type Negative link type De Liddo, A., Buckingham Shum, S., Quinto, I., Bachler, M. and Cannavacciuolo, L.(2011). Discourse-Centric Learning Analytics. Proc. 1st Int. Conf. Learning Analytics & Knowledge. Feb. 27-Mar 1, 2011, Banff. Eprint: http://oro.open.ac.uk/25829
  • 20. Analytics on whether a user connects her ideas to others’Comparison  of  one’s  own  ideas  to  others   ideas Does the learner compare his/her own ideas to that of peers, and if so, in what ways? De Liddo, A., Buckingham Shum, S., Quinto, I., Bachler, M. and Cannavacciuolo, L.(2011). Discourse-Centric Learning Analytics. Proc. 1st Int. Conf. Learning Analytics & Knowledge. Feb. 27-Mar 1, 2011, Banff. Eprint: http://oro.open.ac.uk/25829
  • 21. Analytics on whether a user acts as a broker, connecting broker:  connec4ng  oideas Link   other people’s ther  people’s  ideas   Does the learner act as a broker, connecting the ideas of his/her peers, and if so, in what ways? De Liddo, A., Buckingham Shum, S., Quinto, I., Bachler, M. and Cannavacciuolo, L.(2011). Discourse-Centric Learning Analytics. Proc. 1st Int. Conf. Learning Analytics & Knowledge. Feb. 27-Mar 1, 2011, Banff. Eprint: http://oro.open.ac.uk/25829
  • 22. Next steps... •  Evaluation studies with students •  More active platform (eg. recommender) •  Automated rhetorical text analysis •  Rollout and evaluation of Open Edu Evidence Hub