Visual learning analytics in computing education

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

My research broadly lies within the area of computational technologies for learning, specifically focused on how technologies can be designed and applied to be more effective in computer science education. The core research questions include: what are the challenges of adaptive educational systems in assisting problem solving & peer instructions; what measures, design principles and impacts of these challenges can be addressed. My research methodology involves Artificial Intelligence and Human Computer Interaction approaches in researching effective educational technologies (open student modeling & visual learning analytics), which the theoretical background is guided by self-regulated learning, social comparison theories and learning sciences: learning from observing.

Original languageEnglish (US)
Title of host publicationExploring the Material Conditions of Learning
Subtitle of host publicationComputer Supported Collaborative Learning Conference 2015, CSCL 2015 - Conference Proceedings
EditorsOskar Lindwall, Paivi Hakkinen, Timothy Koschmann, Pierre Tchounikine, Sten Ludvigsen
PublisherInternational Society of the Learning Sciences (ISLS)
Pages916-917
Number of pages2
ISBN (Electronic)9780990355076
StatePublished - Jan 1 2015
Event11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015 - Gothenburg, Sweden
Duration: Jun 7 2015Jun 11 2015

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume2
ISSN (Print)1573-4552

Conference

Conference11th International Conference on Computer Supported Collaborative Learning: Exploring the Material Conditions of Learning, CSCL 2015
CountrySweden
CityGothenburg
Period6/7/156/11/15

Keywords

  • Adaptive navigation support
  • Computer science education
  • Computing education
  • Learning analytics
  • Open student modeling
  • Personalized learning
  • Student modeling
  • Visual analytics
  • Visualization

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

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  • Cite this

    Hsiao, I. H. (2015). Visual learning analytics in computing education. In O. Lindwall, P. Hakkinen, T. Koschmann, P. Tchounikine, & S. Ludvigsen (Eds.), Exploring the Material Conditions of Learning: Computer Supported Collaborative Learning Conference 2015, CSCL 2015 - Conference Proceedings (pp. 916-917). (Computer-Supported Collaborative Learning Conference, CSCL; Vol. 2). International Society of the Learning Sciences (ISLS).