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Learning Technologies, IEEE Transactions on

Issue 1 • Date Jan.-March 2009

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Displaying Results 1 - 6 of 6
  • Introduction to the Special Issue on Personalization

    Publication Year: 2009 , Page(s): 1 - 2
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | PDF file iconPDF (85 KB) |  | HTML iconHTML  
    Freely Available from IEEE
  • Creating a Corpus of Targeted Learning Resources with a Web-Based Open Authoring Tool

    Publication Year: 2009 , Page(s): 3 - 9
    Cited by:  Papers (4)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1012 KB) |  | HTML iconHTML  

    Personalizing learning to studentspsila traits and interests requires diverse learning content. Previous studies have demonstrated the value of such materials in learning but a challenge remains in creating a corpus of content large enough to meet studentspsila varied interests and abilities. We present and evaluate a prototype Web-based tool for open authoring of learning materials. We conducted ... View full abstract»

    Open Access
  • Evaluating Learning Style Personalization in Adaptive Systems: Quantitative Methods and Approaches

    Publication Year: 2009 , Page(s): 10 - 22
    Cited by:  Papers (22)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1278 KB) |  | HTML iconHTML  

    It is a widely held assumption that learning style is a useful model for quantifying user characteristics for effective personalized learning. We set out to challenge this assumption by discussing the current state of the art, in relation to quantitative evaluations of such systems and also the methodologies that should be employed in such evaluations. We present two case studies that provide rigo... View full abstract»

    Open Access
  • Supporting the Development of Mobile Adaptive Learning Environments: A Case Study

    Publication Year: 2009 , Page(s): 23 - 36
    Cited by:  Papers (18)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1268 KB) |  | HTML iconHTML  

    In this paper, we describe a system to support the generation of adaptive mobile learning environments. In these environments, students and teachers can accomplish different types of individual and collaborative activities in different contexts. Activities are dynamically recommended to users depending on different criteria (user features, context, etc.), and workspaces to support the correspondin... View full abstract»

    Open Access
  • Constraint-Based Validation of Adaptive e-Learning Courseware

    Publication Year: 2009 , Page(s): 37 - 49
    Cited by:  Papers (2)  |  Patents (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (767 KB) |  | HTML iconHTML  

    Personalised e-learning allows the course creator to create courseware that dynamically adapts to the needs of individual learners or learner groupings. This dynamic nature of adaptive courseware makes it difficult to evaluate what the delivery time courseware will be for the learner. The course creator may attempt to validate adaptive courseware through dummy runs, but cannot eliminate the risk o... View full abstract»

    Open Access
  • Mood Recognition during Online Self-Assessment Tests

    Publication Year: 2009 , Page(s): 50 - 61
    Cited by:  Papers (5)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (462 KB) |  | HTML iconHTML  

    Individual emotions play a crucial role during any learning interaction. Identifying a student's emotional state and providing personalized feedback, based on integrated pedagogical models, has been considered to be one of the main limits of traditional tools of e-learning. This paper presents an empirical study that illustrates how learner mood may be predicted during online self-assessment tests... View full abstract»

    Open Access

Aims & Scope

IEEE Transactions on Learning Technologies (TLT) covers research on such topics as Innovative online learning systems, Intelligent tutors, Educational software applications and games, and Simulation systems for education and training.

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Dr. Peter Brusilovsky