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Träfflista för sökning "WFRF:(Ruffaldi Emanuele) srt2:(2016)"

Search: WFRF:(Ruffaldi Emanuele) > (2016)

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1.
  • Ruffaldi, Emanuele, et al. (author)
  • Data collection and processing for a multimodal learning analytic system
  • 2016
  • In: Proceedings of 2016 SAI Computing Conference (SAI). - : IEEE. - 9781467384605 - 9781467384612 ; , s. 858-863
  • Conference paper (peer-reviewed)abstract
    • Learning Analytic (LA) systems are aimed at supporting teachers in understanding the learning process by analyzing the information and the interaction of students with computer systems. In the case of a project-based learning process there is a need of introducing measure the student’ activity as acquired via multiple modalities and then processed. The acquisition and processing needs to take into account the specificities of the learning context and deployment at schools, in particular in terms of system architecture. The paper proposes an architecture for the acquisition and processing of data for project-based LA designed to be interoperable and scalable. System design, details of the solutions and brief examples of acquired data are presented.
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2.
  • Spikol, Daniel, et al. (author)
  • Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities
  • 2016
  • In: Proceedings of LAK '16 6th International Conference on Learning Analytics and Knowledge. - New York, New York, USA : ACM Digital Library. ; , s. 522-523
  • Conference paper (peer-reviewed)abstract
    • This poster explores how to develop a working framework for STEM education that uses both human annotated and machine data across a purpose-built learning environment. Our dual approach is to develop a robust framework for analysis and investigate how to design a learning analytics system to support hands-on engineering design tasks. Data from the first user tests are presented along with the framework for discussion.
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