Recent Submissions

  • An Integrative Framework to Investigate the Impact of Blended Learning Adoption in Higher Education: A Theoretical Perspective 

    Bokolo, Anthony Junior; Kamaludin, Adzhar; Romli, Awanis; Farihan Mat Raffei, Anis; Nincarean A/L Eh Phon, Danakorn; Abdullah, Aziman; Leong Ming, Gan; A. Shukor, Nurbiha; Shukri Nordin, Mohd; Baba, Suria (Peer reviewed; Journal article, 2021)
    The importance of Blended Learning (BL) in institutions is momentarily increasing at all educational levels and particularly for higher education. However, relatively little research addresses students, lecturers, and ...
  • A general-purpose distributed pattern mining system 

    Belhadi, Asma; Djenouri, Youcef; Lin, Jerry Chun-Wei; Cano, Alberto (Peer reviewed; Journal article, 2020)
    This paper explores five pattern mining problems and proposes a new distributed framework called DT-DPM: Decomposition Transaction for Distributed Pattern Mining. DT-DPM addresses the limitations of the existing pattern ...
  • Identifying Catheter-Related Events Through Sentence Classification 

    Røst, Thomas Brox; Tvedt, Christine Raaen; Husby, Haldor; Berg, Ingrid Andås; Nytrø, Øystein (Peer reviewed; Journal article, 2020)
    Infections caused by central venous catheter (CVC) use is a serious and under-reported problem in healthcare. The CVC is almost ubiquitous in critical care because it enables fast circulatory monitoring and central ad- ...
  • Mobiltelefonitellinger - Case-studie av Bygdøy og Fornebu 

    Arnesen, Petter; Landmark, Andreas D. (Research report, 2021)
    I dette notatet studeres mobilitetsdata på timesnivå tilrettelagt av Telia fra deres mobilnett. For områdene Fornebu og Bygdøy korreleres denne datakilden med trafikktellinger fra Fjellinjen og passasjertellinger fra Ruter, ...
  • Integrating telemedicine to support digital health care for the management of COVID-19 pandemic 

    Bokolo, Anthony Junior (Peer reviewed; Journal article, 2021)
    The current health care crisis and the need for social distancing to protect medical practitioners and patients have necessitated the need to adopt new initiatives for the treatment of patients. One of such initiatives is ...
  • Predicting learners' effortful behaviour in adaptive assessment using multimodal data 

    Sharma, Kshitij; Papamitsiou, Zacharoula; Olsen, Jennifer K.; Giannakos, Michail (Chapter, 2020)
    Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they ...
  • On the Dependence Structure Between Learners' Response-time and Knowledge Mastery: If Not Linear, Then What? 

    Papamitsiou, Zacharoula; Sharma, Kshitij; Giannakos, Michail (Chapter, 2020)
    Popular approaches in learner modeling explore response-time as observational data supplemental to response correctness, to enrich the predictive models of learner knowledge. It has been argued that the relationship between ...
  • Comparison of Imaging Models for Spectral Unmixing in Oil Painting 

    Grillini, Federico; Thomas, Jean Baptiste; George, Sony (Peer reviewed; Journal article, 2021)
    The radiation captured in spectral imaging depends on both the complex light–matter interaction and the integration of the radiant light by the imaging system. In order to obtain material-specific information, it is important ...
  • Computing Education Research Landscape through an Analysis of Keywords 

    Papamitsiou, Zacharoula; Giannakos, Michail; Simon, -; Luxton-Reilly, Andrew (Chapter, 2020)
    Authors of academic papers are generally required to nominate several keywords that characterize the paper, but are rarely offered guidance on how to select those keywords. We analyzed the keywords in the past 15 years of ...
  • Children's Interaction with Motion-Based Touchless Games: Kinecting Effectiveness and Efficiency 

    Lee-Cultura, Serena; Sharma, Kshitij; Aloizou, Valeria; Retalis, Symeon; Giannakos, Michail (Chapter, 2020)
    Leveraging movement data to support children's learning is appealing and technically challenging. However, there is limited knowledge about exploiting the complete design potential of bodily interplay in learning games. ...
  • TetRotation: Utilising Multimodal Analytics and Gestural Interaction to Nurture Mental Rotation Skills 

    Lee-Cultura, Serena (Chapter, 2019)
    Embodied Interaction (EI) offers unique opportunities to uncover novel ways to achieve experiential learning whilst keeping students stimulated and engaged. Spatial abilities have been repeatedly demonstrated as a success ...
  • Would you do it?: Enacting Moral Dilemmas in Virtual Reality for Understanding Ethical Decision-Making 

    Niforatos, Evangelos; Palma, Adam; Gluszny, Roman; Vourvopoulos, Athanasios; Liarokapis, Fotis (Chapter, 2020)
    A moral dilemma is a decision-making paradox without unambiguously acceptable or preferable options. This paper investigates if and how the virtual enactment of two renowned moral dilemmas---the Trolley and the Mad ...
  • Visual analytics for exploring air quality data in an AI-enhanced IoT environment 

    Kalamaras, Ilias; Xygonakis, Ioannis; Glykos, Konstantinos; Akselsen, Sigmund; Munch-Ellingsen, Arne; Nguyen, Hai Thanh; Jacobsen Lepperod, Andreas; Bach, Kerstin; Votis, Konstantinos; Tzovaras, Dimitrios (Chapter, 2019)
    Visual analytics have an important role in the exploration and analysis of large amounts of data in IoT applications. Data visualizations can provide overviews of different aspects of data and user interaction can assist ...
  • Embodying Artistic Process in Art Gallery Visits 

    Christidou, Dimitra; Steier, Rolf (Chapter, 2020)
    In this chapter, we explore the ways in which visitors make meaning in art museums. Drawing on sociocultural and embodied perspectives, we explore visitor interactions with artworks in two galleries, the Courtauld Gallery ...
  • From Map Using to Map Making: The Museum Experience Through Social Meaning Mapping 

    Christidou, Dimitra; Reitstätter, Luise (Chapter, 2020)
    This article introduces Social Meaning Mapping (SMM), a digital qualitative tool designed to be used by museum visitors in groups post-visit during a researcher-led session. SMM is embedded in a tablet-based app called ...
  • Using Sensing Technologies to Explain Children’s Self-Representation in Motion-Based Educational Games 

    Lee-Cultura, Serena; Sharma, Kshitij; Papavlasopoulou, Sofia; Retalis, Symeon; Giannakos, Michail (Chapter, 2020)
    Motion-Based Touchless Games (MBTG) are being investigated as a promising interaction paradigm in children's learning experiences. Within these games, children's digital persona (i.e, avatar), enables them to efficiently ...
  • Developing health technology innovators: A collaborative learning approach 

    Agterbos, Marieke; Aldershoff, Frank; Cawley, Oisin; Jung, Norbert; Kehoe, Joseph; Klok, Eric; Künz, Andreas; Nilsen, Jan Harald; Jost, Patrick; Rothe, Irene; Sandstrak, Grethe; Skar, Reidun; Weidman, Karl-Heinz (Peer reviewed; Journal article, 2019)
    In this paper we present a new initiative to promote collaborative learning through industry partnered, interdisciplinary, student and user centred projects. This was achieved through the development of rehabilitation ...
  • Because it is Fun: Investigating Motives of Fake News Sharing with Exploratory Game Quests 

    Jost, Patrick (Chapter, 2020)
    Exploratory learning has become a widely applied, pedagogical concept. One approach to encourage exploratory knowledge creation are situated game experiences. Putting learners in quest-based environments can thereby support ...
  • Diversifying Top-k Point-of-Interest Queries via Collective Social Reach 

    Maropaki, Stella; Chester, Sean; Doulkeridis, Christos; Nørvåg, Kjetil (Chapter, 2020)
    By "checking into'' various points-of-interest (POIs), users create a rich source of location-based social network data that can be used in expressive spatio-social queries. This paper studies the use of popularity as a ...
  • Exploring Decomposition for Solving Pattern Mining Problems 

    Djenouri, Youcef; Lin, Jerry Chun-Wei; Nørvåg, Kjetil; Ramampiaro, Heri; Yu, Philip S. (Peer reviewed; Journal article, 2021)
    This article introduces a highly efficient pattern mining technique called Clustering-based Pattern Mining (CBPM). This technique discovers relevant patterns by studying the correlation between transactions in the transaction ...

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