Generating a two-phase lesson for guiding beginners to learn basic dance movements
Computers & Education
Tweets reveal more than you know: a learning style analysis on twitter
EC-TEL'12 Proceedings of the 7th European conference on Technology Enhanced Learning
An adaptation algorithm for an intelligent natural language tutoring system
Computers & Education
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Recent significant advances in automatically predicting user learning styles are described. The system works with new client-based systems that filter Web pages and provide easy, structured, focused, and controlled access to the Internet. A first system called iLessons was embedded within Microsoft Internet Explorer 6 and provided teachers with tools to create lesson Web pages, define zones of the Internet that could be accessed during a lesson, and enforce these settings in a set of computers. A second system enabled students to investigate and collaborate using the Internet. The system filtered Web pages based on the relevance of their contents and assisted students by inferring their learning style (active or reflective) and by recommending pages found by fellow students based on page relevancy, student learning style, and state of mind measured by activity. The system infers learning style in real time by monitoring user activity, and recent significant advances in the research are described.