Extending the Diagnostic Capabilities of Artificial Intelligence-Based Instructional Systems

نویسندگان

  • Santosh Mathan
  • Nick Yeung
چکیده

WINTER 2015 51 Computer-based educational technology has had a transformative impact in every imaginable educational context — from tablet-based educational games for preschoolers, to massively open online courses for university students and independent learners. Artificial intelligence (AI) research solutions have the potential to boost the impact of these systems by enhancing their diagnostic capabilities. For example, unlike one-on-one human tutoring, it is rare to find computer-based learning environments that not only provide opportunities for practice on complex problems (such as working on multistep algebra problems, or practicing programming by writing multiline code), but also provide contextually relevant feedback and guidance based on an analysis of individual problem-solving actions. In contrast,

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عنوان ژورنال:
  • AI Magazine

دوره 36  شماره 

صفحات  -

تاریخ انتشار 2015