@inproceedings{scholars2787,
             doi = {10.1109/ICCISci.2012.6297299},
            note = {cited By 3; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334},
          volume = {1},
           title = {Towards the development of an online adaptive system framework for English learning using perturbation learner model},
         address = {Kuala Lumpur},
            year = {2012},
           pages = {512--516},
         journal = {2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings},
            isbn = {9781467319386},
          author = {Dung, N. V. and Sulaiman, S. and Hassan, M. F.},
        abstract = {Adaptive learning has proved to be an advanced educational method applicable to a variety of educational and training models to increase the efficiency and effectiveness in teaching and learning. The idea behind adaptive learning is the use of computer-based interactive systems fully capable of automatically adapting the presentation of learning content and material according to the learners' responses and progress when interacting with the systems. With English becoming increasingly important in the world today as an international language, it has been questioned as to whether adaptive learning can be utilized to facilitate the learning of English as a second language in non-English-speaking countries. This paper addresses this issue by proposing a framework that uses perturbation learner model in designing an adaptive system. {\^A}{\copyright} 2012 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867917512&doi=10.1109\%2fICCISci.2012.6297299&partnerID=40&md5=3c78e02e410accb0fa5616c29abafffe},
        keywords = {Adaptive learning; English Learning; Internet users; Learner model; User Modeling, Adaptive systems; Information science; Technology, Learning systems}
}