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37 ta ish

Ish: Adaptive recommendation of student-created micro-lessons based on learning style and knowledge-level modeling

  1. The Adaptive Web

    Kitob20074 iqtibos
    ABI

  2. A Web-based Instrument to Initialize Learning Style: An Interactive Questionnaire Instrument

    Doniyorbek Ahmadaliev, Chen Xiaohui, Murodjon Abduvohidov

    MaqolaOchiq kirishLearning Styles and Cognitive DifferencesInternational Journal of Emerging Technologies in Learning (iJET)20183 iqtibos
    ABI

  3. Hypertext: An Introduction and Survey

    Conklin

    Maqola19873 iqtibos
    ABI

  4. Evaluating Bayesian networks’ precision for detecting students’ learning styles

    Patricio García Báez, Analı́a Amandi, Silvia Schiaffino +1

    Maqola20052 iqtibos
    ABI

  5. Learning and Teaching Styles In Foreign and Second Language Education

    Richard M. Felder, Eunice Ribeiro Henriques

    Maqola19952 iqtibos
    ABI

  6. A genetic algorithm approach to recognise students' learning styles

    Virginia Yannibelli, Daniela Godoy, Analı́a Amandi

    Maqola20062 iqtibos
    ABI

  7. Prediction of Learner’s Profile based on Learning Styles in Adaptive E-learning System

    Sucheta V. Kolekar, Radhika M. Pai, M. M. Manohara Pai

    Maqola20172 iqtibos
    ABI

  8. Using the HOT-fit model to predict the determinants of E-learning readiness in higher education: a developing Country’s perspective

    Marva Mirabolghasemi, Sahar Hosseinikhah Choshaly, Noorminshah A. Iahad

    Maqola20192 iqtibos
    ABI

  9. The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments

    Asanka Gunasinghe, Junainah Abd Hamid, Ali Khatibi +1

    Maqola20192 iqtibos
    ABI

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