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      • HARVEST
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      Protutor : a pronunciation tutor that uses historic open learner models

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      CarrieDemmansEppMScThesis.pdf (3.264Mb)
      Date
      2010-06
      Author
      Demmans Epp, Carrie A.
      Type
      Thesis
      Degree Level
      Masters
      Metadata
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      Abstract
      Second language learners face many challenges when learning a new language. To determine which challenges learners needed additional support in overcoming, we conducted a needs assessment of the Russian language program at the University of Saskatchewan and found that their students needed the most help with speaking in Russian. As a result, we designed an Intelligent Tutoring System (ITS) to help students learn how to pronounce Russian properly. We hoped to alleviate some of the challenges that learners face when learning to pronounce words in a second language by building an ITS that uses a Historic Open Learner Model (HOLM) to encourage learner reflection and to help maintain learner motivation. We designed, built, and performed a formative evaluation of a system, called ProTutor, using beginner learners of Russian as a second language at the University of Saskatchewan. This evaluation showed that learners have a positive perception of HOLMs and of the system as a whole. However, ProTutor needs further evaluation in order to determine its effectiveness as a learning aide.
      Degree
      Master of Science (M.Sc.)
      Department
      Computer Science
      Program
      Computer Science
      Supervisor
      McCalla, Gordon
      Committee
      Vassileva, Julita; Proctor, Len; Greer, Jim
      Copyright Date
      June 2010
      URI
      http://hdl.handle.net/10388/etd-07082010-120018
      Subject
      artificial intelligence in education
      computer assisted language learning
      open learner modeling
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