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

      Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara (Journal article; Peer reviewed, 2021)
      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 ...
    • Experience with Group Supervision 

      Chen, Weiqin (UPED-skrift nr. 1/2006, Working paper, 2006)
      Supervision can take a few different forms. For example, it can be one-to-one supervision and it can also be group supervision. Group supervision is an important process within the scientific community. Many research groups ...
    • Heuristic evaluations of the accessibility of learning management systems (LMSs) as authoring tools for teachers 

      Chen, Weiqin; Sanderson, Norun Christine; Kessel, Siri; Królak, Aleksandra (Peer reviewed; Journal article, 2015-09-07)
      With the development of e-education and e-society it is important for information and communication systems and services to be equally accessible to all users, including people with disabilities. Learning management systems ...
    • Historical Oslo on a handheld device – a mobile augmented reality application 

      Chen, Weiqin (Peer reviewed; Journal article, 2014)
      Mobile augmented reality (AR) applications can provide just-in-time information based on the user’s preferences and context and thus improve the tourist experience. Due to various problems, the potential of this technology ...
    • Integrating multiple data sources for learning analytics—review of literature 

      Samuelsen, Jeanette; Chen, Weiqin; Wasson, Barbara (Peer reviewed; Journal article, 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 ...
    • Knowledge-aware learning analytics for smart learning 

      Chen, Weiqin (Peer reviewed; Journal article, 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 ...
    • Mobile Instant Messaging for the Elderly 

      Bong, Way Kiat; Chen, Weiqin (Peer reviewed; Journal article, 2015-11-06)
      While the use of Mobile Instant Messaging (MIM) has been expanding vastly along with mobile technology, existing MIM applications have not sufficiently addressed the needs of elderly users. MIM applications have great ...
    • Privacy engineering for learning analytics in a global market: Defining a point of reference 

      Hoel, Tore; Chen, Weiqin (Peer reviewed; Journal article, 2019)
      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 ...
    • Word cloud visualisation of locative information 

      Tessem, Bjørnar; Bjørnestad, Solveig; Chen, Weiqin; Nyre, Lars (Peer reviewed; Journal article, 2015-12-22)
      This article describes an explorative study of a prototype for visualisation of locative information from Wikipedia. PediaCloud is a smartphone app that uses word clouds for graphical display of links to text and photos ...
    • Workflow Partitioning for Offline Distributed Execution on Mobile Devices 

      Wakholi, Peter Khisa; Chen, Weiqin (CEUR Workshop Proceedings; 855, Chapter, 2012)
      Traditionally, workflow systems are built on the client/server architecture, in which a single workflow server takes the responsibility for the operation of the whole process, thereby requiring connections each time a task ...