International Journal of Information and Communication Technology Education · 2019 · 50 citations · 53 references
EducationComputer ScienceEducational TechnologyIntelligent Tutoring SystemsLanguage EducationNatural Language ProcessingAdaptive LearningArtificial Intelligence In Language LearningLanguage LearningNatural Language Processing In EducationComputer-aided Language LearningIntelligent Computer-assisted Language LearningPersonalized Language InstructionPersonalized Language Learning
Intelligent computer-assisted language learning (ICALL) is a multidisciplinary area of research that combines natural language processing (NLP), intelligent tutoring system (ITS), second language acquisition (SLA), and foreign language teaching and learning (FLTL). Intelligent tutoring systems (ITS) are able to provide a personalized approach to learning by assuming the role of a real teacher/expert who adapts and steers the learning process according to the specific needs of each learner. This article reviews and discusses the issues surrounding the development and use of ITSs for language learning and teaching. First, the authors look at ICALL history: its evolution from CALL. Second, issues in ICALL research and integration will be discussed. Third, they will explain how artificial intelligence (AI) techniques are being implemented in language education as ITS and intelligent language tutoring systems (ITLS). Finally, the successful integration and development of ITLS will be explained in detail.
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