Blar i TKD - Institutt for informasjonsteknologi på emneord "Learning analytics"

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    • Are Norwegian academic librarians ready to share usage data for learning analytics? 

      Hoel, Tore; Chen, Weiqin; Gregersen, Anne-Berit (Nordic Journal of Information Literacy in Higher Education, NORIL;10(1), Journal article; Peer reviewed, 2018)
      University libraries offer services that generate data about how students and faculty use knowledge sources and engage with teaching and learning. In an era of Big Data there is mounting pressure ...

    • Enriching context descriptions for enhanced LA scalability: a case study 

      Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara (Research and Practice in Technology Enhanced Learning (RPTL);16, Article number: 6 (2021), Peer reviewed; Journal article, 2021-03-29)
      Learning analytics (LA) is a field that examines data about learners and their context, for understanding and optimizing learning and the environments in which it occurs. Integration of multiple data sources, an important ...

    • Integrating multiple data sources for learning analytics—review of literature 

      Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara (Research and Practice in Technology Enhanced Learning;14, Article number: 11 (2019), Journal article; Peer reviewed, 2019-07-26)
      Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate ...

    • Integrating multiple data sources for learning analytics—review of literature 

      Samuelsen, Jeanette; Chen, Weiqin; Lillehaug, Barbara Wasson (Research and Practice in Technology Enhanced Learning (RPTL);14, Article number: 11 (2019), Journal article; Peer reviewed, 2019-08-28)
      Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate ...

    • Interaction between Standardisation and Research in Drafting an International Specification on Learning Analytics 

      Hoel, Tore; Chen, Weiqin (Chapter; Peer reviewed, 2017)
      Interoperability standards are key enablers for widespread adoption of learning technologies, e.g., new data-driven analytics of learning, an application domain explored in a case study presented in this paper. ...

    • Interaction Between Standardisation and Research: A Case Study 

      Hoel, Tore; Chen, Weiqin (International Journal of Standardization Research (IJSR);Volume 16 • Issue 1 • January-June 2018, Journal article; Peer reviewed, 2018)
      Standards-making is a design practice that relies on input from research and end-users, involving experts that represent diverse stakeholders spread all over the globe. However, the standards-setting culture and formal ...

    • Knowledge-aware learning analytics for smart learning 

      Chen, Weiqin (Procedia Computer Science;Volume 159, Journal article; Peer reviewed, 2019)
      With the increasing development and adoption of digital technologies for education, more data gathered from educational contexts are being analyzed to give actionable insights to stakeholders. As a data-driven approach for ...

    • Learning Analytics for Inclusive Higher Education 

      Chen, Weiqin (28th International Conference on Computers in Education;Workshop Proceedings Volume II, Conference object, 2020-11-23)
      Learning analytics is gaining attention and increasingly being adopted in higher educational institutions. Research have shown that learning analytics is promising in addressing high priority issues in education such as ...

    • Privacy and Data Protection in Learning Analytics should be motivated by an Educational Maxim - towards a proposal 

      Hoel, Tore; Chen, Weiqin (Research and Practice of Technology Enhanced Learning;(2018) 13:20, Journal article; Peer reviewed, 2018-12-11)
      Privacy and data protection are a major stumbling blocks for a data-driven educational future. Privacy policies are based on legal regulations, which in turn get their justification from political, cultural, economical and ...

    • Privacy engineering for learning analytics in a global market: Defining a point of reference 

      Hoel, Tore; Chen, Weiqin (International Journal of Information and Learning Technology;Vol. 36 No. 4, Journal article; Peer reviewed, 2019-03-21)
      Purpose: Privacy is a culturally universal process; however, in the era of Big Data privacy is handled very differently in different parts of the world. This is a challenge when designing tools and approaches for the use ...