Browsing Information Science and Learning Technologies electronic theses and dissertations (MU) by Title

Now showing items 76-95 of 110

    Title
    Online video-based reflection to improve professional vision and mathematical beliefs for teaching [1]
    Outsourcing the public library : a critical discourse analysis [1]
    Performances of trust among learners in the context of online social learning [1]
    Perspectives of school administrators related to school library media programs after participating in an online course, "School library advocacy for administrators" [1]
    A phenomenological study of new adult readers' participation in a community reading program [1]
    Quality indicators for evaluating distance education programs at community colleges [1]
    Reporting serendipity in biomedical research literature : a mixed-methods analysis [1]
    The Republic of Korea's public libraries : a critical examination of censorship practices [1]
    The role of electronic health records in structuring nursing handoff communication and maintaining situation awareness [1]
    Role of failure in the construction of case libraries [1]
    Selecting testers based on their characteristics [1]
    A sequential exploratory mixed methods study of Carnegie libraries and the library profession, 1900-1910 [1]
    Simulation, reflection, and feedback in medical education [1]
    Social influence in a 3D virtual learning environment for individuals with autism spectrum disorders [1]
    The social nature of an online community of practice for learning to teach [1]
    A strategy to scaffold critical thinking during analysis of leadership cases [1]
    Structuring asynchronous online discussion groups : the impact of role-supported student facilitation [1]
    A study of learner experience design and learning efficacy of mobile microlearning in journalism education [1]
    Sustaining Open Educational Resources (OER) initiatives in higher education: practices, successes, and challenges [1]
    Teaching pedagogy and preferred learning styles for introductory computer programming courses [1]