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[null,"1.","Record Nr.",null,"UNINA9910449818303321"]
[null,null,"Titolo",null,"Artificial intelligence in education [[electronic resource] ] : supporting learning through intelligent and socially informed technology / / edited by Chee-Kit Looi ...[et al.]"]
[null,null,"Pubbl/distr/stampa",null,"Washington, DC, : IOS Press, c2005"]
[null,null,"ISBN",null,"6610504873"]
[{"$nulls":4},"1-280-50487-0"]
[{"$nulls":4},"9786610504879"]
[{"$nulls":4},"1-4294-0201-6"]
[{"$nulls":4},"1-60750-120-1"]
[{"$nulls":4},"600-00-0350-1"]
[{"$nulls":4},"1-60129-101-9"]
[null,null,"Descrizione fisica",null,"1 online resource (1040 p.)"]
[null,null,"Collana",null,"Frontiers in artificial intelligence and applications ; ; v. 125"]
[null,null,"Disciplina",null,"371.33463"]
[null,null,"Soggetti",null,"Artificial intelligence - Educational applications"]
[{"$nulls":4},"Intelligent tutoring systems"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Papers presented at the 12th International Conference on Artificial Intelligence in Education,  held in Amsterdam, July 18-22, 2005."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Title page; Preface; International AIED Society Management Board; Executive Committee Members; Conference Organization; Sponsors; Contents; Invited Talks; Learning with Virtual Peers; Scaffolding Inquiry Learning: How Much Intelligence is Needed and by Whom?; Constraint-Based Tutors: A Success Story; Interactivity and Learning; Full Papers; Evaluating a Mixed-Initiative Authoring Environment: Is REDEEM for Real?; An Architecture to Combine Meta-Cognitive and Cognitive Tutoring: Pilot Testing the Help Tutor; \"\"A la\"\" in Education: Keywords Linking Method for Selecting Web Resources"]
[{"$nulls":4},"Inferring Learning and Attitudes from a Bayesian Network of Log File Data Why Is Externally-Regulated Learning More Effective Than Self-Regulated Learning with Hypermedia?; Motivating Appropriate Challenges in a Reciprocal Tutoring System; Do Performance Goals Lead Students to Game the System?; Pedagogical Agents as Social Models for Engineering: The Influence of Agent Appearance on Female Choice; The Impact of Frustration-Mitigating Messages Delivered by an Interface "]
[{"$nulls":4},"Agent; Computational Methods for Evaluating Student and Group Learning Histories in Intelligent Tutoring Systems"]
[{"$nulls":4},"Engagement Tracing: Using Response Times to Model Student Disengagement Interactive Authoring Support for Adaptive Educational Systems; Some Unusual Open Learner Models; Advanced Capabilities for Evaluating Student Writing: Detecting Off-Topic Essays Without Topic-Specific Training; Thread-Based Analysis of Patterns of Collaborative Interaction in Chat; Conceptual Conflict by Design: Dealing with Students' Learning Impasses in Multi-User Multi-Agent Virtual Worlds; Motivating Learners by Nurturing Animal Companions: My-Pet and Our-Pet"]
[{"$nulls":4},"Arithmetic Desk: Computer Embedded Manipulatives for Learning Arithmetic Adaptive Reward Mechanism for Sustainable Online Learning Community; What Is The Student Referring To? Mapping Properties and Concepts in Students' Systems of Physics Equations; The Effects of a Pedagogical Agent in an Open Learning Environment; Using Discussion Prompts to Scaffold Parent-Child Collaboration Around a Computer-Based Activity; Self-Regulation of Learning with Multiple Representations in Hypermedia; An ITS for Medical Classification Problem-Solving: Effects of Tutoring and Representations"]
[{"$nulls":4},"Mining Data and Modelling Social Capital in Virtual Learning Communities Tradeoff Analysis Between Knowledge Assessment Approaches; Natural Language Generation for Intelligent Tutoring Systems: A Case Study; Dialogue-Learning Correlations in Spoken Dialogue Tutoring; Adolescents' Use of SRL Behaviors and Their Relation to Qualitative Mental Model Shifts While Using Hypermedia; Teaching about Dynamic Processes A Teachable Agents Approach; Exam Question Recommender System; DIANE, a Diagnosis System for Arithmetical Problem Solving"]
[{"$nulls":4},"Collaboration and Cognitive Tutoring: Integration, Empirical Results, and Future Directions"]
[null,null,null,"Sommario/riassunto","The field of Artificial Intelligence in Education includes research and researchers from many areas of technology and social science. This study aims to open opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area."]