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Call for Papers

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1st International Conference Learning Analytics & Knowledge will be held February 27-March 1, 2011

Important Dates:

Call for "Ideas and Innovations" Papers

Deadline for paper (not abstract): December 31, 2010
Notification: January 15, 2010

With the strong response of our original call for papers, the conference steering committee recognized the need for an additional subset of papers - Ideas and Innovations.

Ideas and Innovations papers should not exceed 10 pages in length and should focus on an early stage idea or innovation approach to the use of learning and knowledge analytics. These papers will ideally reflect a promising concept that is in the early planning stages of research (or in the early stages of actually conducting research). As such, these papers will allow presenters and conference attendees an opportunity to explore early innovations. Accepted Ideas and Innovations papers will allow the author(s) to present their ideas in a brief presentation to the all conference attendees, followed by an interactive discussion and demonstration session (all Ideas and Innovations papers will be given the opportunity to simultaneously discuss their work in an "idea bazaar" following the initial short presentation.

Please submit papers through Learning Analytics EasyChair conference system. All papers must be formatted according to the Springer’s Lecture Notes in Computer Science style.

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs. Conference organizers are seeking submissions of Ideas and Innovations papers addressing the following topics:


  • Software development and use in analytics
  • The role of knowledge representation and ontologies in learning analytics
  • The semantic web and linked data: meaning in connections
  • Data mining in learning analytics
  • Artificial intelligence in learning analytics
  • Internet of things (sensors) and learning applications
  • "Big Data" applications and opportunities in learning and education
  • Latent semantic analysis/natural language processing
  • Attention metadata
  • Architecture of learning environments and implications to learning analytics
  • Software needed to advance learning analytics as a field


  • Visualization: data, learner networks, conceptual knowledge
  • Predictive applications of data
  • Interventions based on analytics
  • Social and technical systems to manage information abundance
  • Personalization and adaptivity in the learning process
  • Corporate and higher education case studies of learning analytics
  • Learning analytics for intelligent tutoring systems
  • Open data: data access for learners
  • Harmonizing individual learning with organizational learning
  • Importing insights for existing analytics
  • Use of learning analytics in centralized (learning management systems) and decentralized (personal learning environments) settings

Conceptual & Pedagogical:

  • The relationship between learning analytics and existing theories and approaches (such as pedagogical models and learning sciences)
  • Social network analysis
  • Cognitive modelling
  • Harnessing the power of context and location aware systems
  • Informal learning: integrating learning and knowledge systems
  • Privacy & ethics in learning analytics
  • The influence of analytics on designing for learning
  • The influence of analytics on delivery and support of learning

Please direct any questions or comments about call for papers to and