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Towards Localization of Automated Tutors for Developing Countries
2013
International Conference on Artificial Intelligence in Education
This paper describes localization issues in relation to AIED systems in the developing world, and analyzes the particular case of the successful immersion of learning technologies to schools in Pakistan. The paper analyzes the needs for personalized learning in the developing world in comparison to countries such as the United States. A model and a survey based on various types of localization dimensions like teacher, student, and cultural alignment was developed and deployed to conduct an
dblp:conf/aied/ZualkernanAW13
fatcat:bibkpquruvhm7hwkw34mczqr3y