Practice and peRformance Analysis Inspiring Social Education




Main objectives

 

  1. To develop a pedagogical framework that is adapted to social media, which includes a set of pedagogical principles that work in open-ended collaborative learning contexts in which the distinction between teacher and learner is blurred and where we think instead of an ecology of knowledge, practice and learning
  2. To develop sophisticated tools for the real-time analysis of performance practice and compositional work through audio and gesture analysis, musical analysis, and corpus analysis.
  3. To develop community-building tools that place users at the center of a supportive network of learners, which includes novel interfaces for communities of users to share media, tagging and analysis of each other's content.
  4. To develop natural interfaces for learning agents and natural language description of music analysis that can be used for talking about music and providing text based praise and feedback.
  5. To develop computational mechanisms for representing learning strategies, for configuring and editing them, and for enacting these strategies embedded in specific learning contexts.
  6. To integrate all these components into a music practice agent that provides a model of the experience and the knowledge of the learner as well as the learner's goals and a learning strategy. To develop an architecture with capabilities and diagnostics that can monitor the performance of a learner in real time. To develop an underlying architecture that models how best an agent learns, which can be interrogated by the learner and by other PRAISE users.
  7. To test evaluation criteria for competences acquired in open learning environments in relation to standard curricula.