Browsing by Subject "e-learning"

Now showing 1 - 4 of 4
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    Going mental: Tackling mental models for the online library tutorial
    (Pergamon, 2001) Veldof, Jerilyn; Beavers, Karen
    Many librarians have taken on the challenge of creating online library tutorials without the benefit of formal education and training in the field. They can learn much from research in system design, human-computer interaction, and applied psychology as these fields relate to the creation of online learning systems. Researchers in these areas believe that people approach online learning systems by making use of a conceptual (mental) model of the system. Designers' mental models influence the way they create learning systems, and student's mental models affect the way they interact with and learn from the system. Compares and contrasts the mental models of librarians and students as they relate to online library tutorials. Examines these mental models through a review of existing library tutorials, usability studies on various library tutorials, and student interviews about the research and writing process. The analysis demonstrates how students' mental models vary, often significantly, from the mental models of the librarians who design the online tutorials.
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    Minutes: Senate Committee on Educational Policy: April 21, 2010
    (University of Minnesota, 2010-04-21) University of Minnesota: Senate Committee on Educational Policy
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    On-The-Fly Parameter Estimation Based on Item Response Theory in Item-based Adaptive Learning Systems
    (2020-11) Jiang , Shengyu
    An online learning system has the capacity to offer customized content that caters to individual learner’s need and has seen growing interest from industry and academia alike in recent years. Noting the similarity between online learning and the more established adaptive testing procedures, research has focused on applying the techniques of adaptive testing to the learning environment. Yet due to the inherent difference between learning and testing, there exist some major challenges that hinder the development of adaptive learning systems. To tackle these challenges, a new online learning system is proposed which features a Bayesian algorithm that computes item and person parameters on the fly. The new algorithm is validated in two separate simulation studies and the results show that the system, while being cost-effective to build and easy to implement, can also achieve adequate adaptivity and measurement precision for the individual learner.
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    Usability Testing
    (Neal-Schuman Publishers, 2003) Veldof, Jerilyn
    Design a library e-learning interface that gets out of the way of your learners; ensure that the learner's full attention is on the learning, not on navigating the interface; learn how to conduct usability testing that works.