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    Understanding Open Learning Processes in a Robotics Class

    Jormanainen, I., Beynon, W.M. and Sutinen, E. (2009) Understanding Open Learning Processes in a Robotics Class. In: International Conference on Computing Education Research (Koli Calling), Koli National Park, Finland.

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      Abstract

      Robotics is a functional approach for learning basic concepts of computing. In this role, it has been successfully used in introductory classes of Computer Science and Information Technology from primary to higher education. In a typical scenario, learners design and program robots in small groups that comprise between 2 and 4 students. Although such activity is stimulating for learners, the teacher of the class may find it hard to follow each individual student’s learning processes. Empirical Modelling gives the teacher a platform to monitor individual group processes by collecting data from the construction and programming of the robots and allowing the teacher to model the empirically observed process. Unlike most adaptive learning systems, the model and the modelling process are transparent and open to the teacher, and even the students are able to assess their own learning based on the derived models.

      Item Type: Conference or Workshop Item (Paper)
      Uncontrolled Keywords: ias em empirical modelling modeling construal observables dependency agent/agency
      Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
      Divisions: Faculty of Science > Computer Science
      Depositing User: Jason Nurse
      Date Deposited: 04 Nov 2010 07:45
      Last Modified: 26 Jul 2011 12:16
      URI: http://eprints.dcs.warwick.ac.uk/id/eprint/244

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