Adaptive Educational Hypermedia
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The document discusses adaptive educational hypermedia systems (AEHS) which adapt educational materials online based on a user's knowledge level and preferences. It describes the key components of an AEHS including domain models, user models, and adaptation models. It also outlines the process used to determine a user's knowledge of different topics through rule-based inference and classification algorithms.
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- 1. Done by: Alaa AlZoubi
- 13. Developed domain model network
- 16. Topics Specification XML Document <?xml version="1.0" encoding="utf-8" ?> <TopicList> <Topic ID="4" Category="Electrical Machines"> <Title>Circuit Models and Characteristics of DC Machines</Title> <SupportedPresentations> <Reading>topic4r</Reading> <Listening>topic4l</Listening> <Watching>topic4w</Watching> </SupportedPresentations> <Level>1</Level> <Time>60</Time> <Count>3</Count> <Question>5</Question> <RelatedConcepts> <Concept ID="1" Url="concept1"> Position</Concept> <Concept ID="3" Url="concept3">Moment</Concept> </RelatedConcepts>
- 17. <RelatedTopics> <RTopic ID="11" Url="dcbrushless">Brushless DC Motor</RTopic> </RelatedTopics> <Pre-ConditionTopics> <Pre-Topic ID="1" Url="dcseries">DC Series Motor</Pre-Topic> </Pre-ConditionTopics> <RelatedAnimations> <RAnm>anm1</RAnm> </RelatedAnimations> <RelatedSimulations> <RSim>simulation1</RSim> </RelatedSimulations> </Topic> </TopicList>
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- 30. As a result of the calculations given above, the user knowledge level about the topic “k” is classified as “advanced”.
- 32. Adaptation model for the developed application
- 33. Thank You