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Chapters30-min PresenterIgnite Presenter 1Ignite Presenter 2Ignite Presenter 3First WeekSecond WeekThird Week
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CHAPTER 1 ‒ A Guide to Understanding Learner ModelsGenghu ShiAngela Fessl
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CHAPTER 2 ‒ Lowering the Barrier to Adoption of Intelligent Tutoring Systems through StandardizationLijia WangLiang Zhang
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CHAPTER 3 ‒ Important Considerations for Learner Models: Transfer Potential and Pedagogical Content KnowledgeWei ChuLijia Wang
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CHAPTER 4 ‒Matching Learner Models to Instructional StrategiesWenhui XuMeng Cao
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CHAPTER 5 ‒A Review of Student Models Used in Intelligent Tutoring SystemsYing FangMeng CaoYinhui HuangkuangziyiXiaoguang Wang
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CHAPTER 6 ‒Understanding Current Learner Modeling ApproachesZiyi KuangLijia Wangxu sheng
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CHAPTER 7 ‒Affective-Behavioral-Cognitive (ABC) Learner ModelingGenghu ShiXuechen ZhangRui Zhang
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CHAPTER 8 ‒The Need for Empirical Evaluation of Learner Model ElementsZhen WangYuxian Suo
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CHAPTER 9 ‒On the Use of Learner Micromodels as Partial Solutions to Complex Problems in a Multiagent, Conversation-based Intelligent Tutoring SystemKai-Chih PaiLijia Wang
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CHAPTER 10 ‒Learner Models in the Large-Scale Cognitive Modeling (LSCM) InitiativeLiang ZhangLei Yang
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CHAPTER 11 ‒Emerging Learner Modeling Concepts
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CHAPTER 12 ‒The Need for a Mathematical Model of Intelligent TutoringGenghu ShiPeng Ji
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CHAPTER 13 ‒Modeling Student Competencies in Video Games Using Stealth AssessmentLiang ZhangXuechen Zhang
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CHAPTER 14 ‒Assessing the Disengaged Behaviors of LearnersJianhua HanChia-Hua LinWenhui Xu
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CHAPTER 15 ‒Knowledge Component (KC) Approaches to Learner ModelingLiang ZhangLei YangChia-Hua LinLijia Wang
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CHAPTER 16 ‒Towards Learner Models based on Learning Progressions (LPs) in DeepTutorLijia WangJianhua Han
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CHAPTER 17 ‒ Pushing and Pulling Toward Future ITS Learner Modeling ConceptsLiang ZhangLijia Wang
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CHAPTER 18 ‒ Learner Modeling to Predict Real-Time Affect in Serious GamesGengu ShiQuan ZhengJianhua Han
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CHAPTER 19 ‒Intelligent Creativity SupportLiang ZhangLijia Wang
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CHAPTER 20 ‒Learner Modeling Considerations for a Personalized Assistant for Learning (PAL)Lijia WangKeith ShubeckJianhua Han
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CHAPTER 21 ‒Eye-Tracking for Student Modelling in Intelligent Tutoring SystemsGenghu ShiYanqing WangXiaomeng Yang
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CHAPTER 22 ‒Shared Mental Models of Cognition for Intelligent Tutoring of TeamsLiang ZhangJianhua Han
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* Green - Already Learned
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* Orange - Will Learn in the next few weeks
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* White - Not Learned
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