Cover image for Artificial Intelligence in Education : Building Technology Rich Learning Contexts that Work.
Artificial Intelligence in Education : Building Technology Rich Learning Contexts that Work.
Title:
Artificial Intelligence in Education : Building Technology Rich Learning Contexts that Work.
Author:
Luckin, R.
ISBN:
9781607502586
Personal Author:
Physical Description:
1 online resource (764 pages)
Series:
Frontiers in Artificial Intelligence and Applications
Contents:
Title page -- Preface -- AIED 2007 Committees, Chairs and Sponsors -- Contents -- Keynote Speaker Abstracts -- The Relationship Between Minds-On and Hands-On Activity in Instructional Design: Evidence from Learning with Interactive and Non-Interactive Multimedia Environments -- Using Automated Capture in Classrooms to Support Understanding of the Learning Experience -- The Technical Art of Learning Science -- Humanity-Based Classroom: Teaching Is Caring and Learning Is Joyful -- Human-Computer Interface Issues -- The Principle of State Expansion in Task State-Space Navigation -- Generating Responses to Formally Flawed Problem-Solving Statements -- Semantic Web Technology to Support Learning About the Semantic Web -- Exploring Neural Trajectories of Scientific Problem Solving Skill Acquisition -- Pedagogical Agents -- Tools for Authoring a Dialogue Agent that Participates in Learning Studies -- Changing Attitudes and Performance with Computer-Generated Social Models -- Pedagogical Agents Trying on a Caring Mentor Role -- Serious Use of a Serious Game for Language Learning -- Representation -- Helping Courseware Authors to Build Ontologies: The Case of TM4L -- VL-PATSy: Facilitating Vicarious Learning via Intelligent Resource Provision -- 'Tis Better to Construct Than to Receive? The Effects of Diagram Tools on Causal Reasoning -- Evaluating Legal Argument Instruction with Graphical Representations Using LARGO -- Motivation -- Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach -- MathGirls: Toward Developing Girls' Positive Attitude and Self-Efficacy Through Pedagogical Agents -- Content Matters: An Investigation of Feedback Categories Within an ITS -- Does Learner Control Affect Learning? -- Emotion and Affect -- Affect and Usage Choices in Simulation Problem-Solving Environments.

Getting Under the Skin of Learners: Tools for Evaluating Emotional Experience -- Mind and Body: Dialogue and Posture for Affect Detection in Learning Environments -- Towards Predictive Modelling of Student Affect from Web-Based Interactions -- Metacognition -- The Dynamic Nature of Self-Regulatory Behavior in Self-Regulated Learning and Externally-Regulated Learning Episodes -- The Influence of External-Regulation on Student Generated Questions During Hypermedia Learning -- Repairing Disengagement with Non-Invasive Interventions -- Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring -- ITS, Feedback and Scaffolding -- Using Item Response Theory (IRT) to Select Hints in an ITS -- What Level of Tutor Interaction Is Best? -- Evaluating ACED: The Impact of Feedback and Adaptivity on Learning -- Modeling Learning Patterns of Students with a Tutoring System Using Hidden Markov Models -- Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems -- Learning by Problem-Posing as Sentence-Integration and Experimental Use -- Dialog Convergence and Learning -- Comparing Linguistic Features for Modeling Learning in Computer Tutoring -- Learner Modelling -- Comparing Student-Constructed Open Learner Model Presentations to the Domain -- Translation of Overlay Models of Student Knowledge for Relative Domains Based on Domain Ontology Mapping -- Bootstrapping Accurate Learner Models from Electronic Portfolios -- Linguistics and Language Technology -- Combining Bayesian Networks and Formal Reasoning for Semantic Classification of Student Utterances -- A Spoken Translation Game for Second Language Learning -- English ABLE -- Using Machine Learning Techniques to Analyze and Support Mediation of Student E-Discussions -- Linguistics and Language Technology, Tutorial Dialogues.

Analyzing the Coherence and Cohesion in Human Tutorial Dialogues when Learning with Hypermedia -- Beyond the Code-and-Count Analysis of Tutoring Dialogues -- Profiling Student Interactions in Threaded Discussions with Speech Act Classifiers -- The Influence of Learner Characteristics on Task-Oriented Tutorial Dialogue -- Collaboration -- Measuring the Effect of Collaboration in an Assessment Environment -- Tutorial Dialogue as Adaptive Collaborative Learning Support -- Creating Contexts for Productive Peer Collaboration: Some Design Considerations -- Who Says Three's a Crowd? Using a Cognitive Tutor to Support Peer Tutoring -- Course-Based Experimentation -- Accelerated Future Learning via Explicit Instruction of a Problem Solving Strategy -- Explaining Self-Explaining: A Contrast Between Content and Generation -- Out of the Lab and into the Classroom: An Evaluation of Reflective Dialogue in Andes -- Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab? -- Authoring Tools and Ontologies -- Lowering the Bar for Creating Model-Tracing Intelligent Tutoring Systems -- Constraint Authoring System: An Empirical Evaluation -- Taking Advantage of the Semantics of a Lesson Graph Based on Learning Objects -- Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation -- Data Mining -- Investigating Generative Factors of Score Matrices -- How Did the e-Learning Session Go? The Student Inspector -- Can a Computer Listen for Fluctuations in Reading Comprehension? -- Empowering Researchers to Detect Interaction Patterns in e-Collaboration -- Is Over Practice Necessary? - Improving Learning Efficiency with the Cognitive Tutor Through Educational Data Mining -- Posters -- Benefits of Handwritten Input for Students Learning Algebra Equation Solving.

Extension of IMS-QTI to Express Constraints on Template Variables in Mathematics Exercises -- Do Various Self-Regulatory Processes Predict Different Hypermedia Learning Outcomes? -- Assessing Learning in a Peer-Driven Tutoring System -- Evaluating a Collaborative Constraint-Based Tutor for UML Class Diagrams -- Intelligent Tutoring and Human Tutoring in Small Groups: An Empirical Comparison -- Student Motivation and Performance in Scientific Problem Solving Simulations -- Developing a Text Support Tool for English Language Learners -- On Issues of Feature Extraction in Chinese Automatic Essay Scoring System -- Domain-Specific and Domain-Independent Interactive Behaviors in Andes -- Porting an Intelligent Tutoring System Across Domains -- Learning from Collaboratively Observing Videos During Problem Solving with Andes -- Linking Educational Materials to Encyclopedic Knowledge -- Verification of Proof Steps for Tutoring Mathematical Proofs -- Motivationally Intelligent Systems: Diagnosis and Feedback -- Choosing Reading Passages for Vocabulary Learning by Topic to Increase Intrinsic Motivation -- Emotions and Learning with AutoTutor -- Standard-Compliant Scenario Building with Theoretical Justification in a Theory-Aware Authoring Tool -- Using Multinets for Learner Modelling -- Using Ontologies for an Effective Design of Collaborative Learning Activities -- Topic Initiative in a Simulated Peer Dialogue Agent -- Mirroring of Group Activity to Support Learning as Participation -- Open Learner Models: Opinions of School Education Professionals -- Novel Tools for Assessing Student Discussions: Modeling Threads and Participant Roles Using Speech Act and Course Topic Analysis -- Evaluating of a Scaffolding System for Supporting Less Experienced Feedback Givers -- The Effect of Open Student Model on Learning: A Study.

The Effects of Error-Flagging in a Tutor on Expression Evaluation -- Paragraph Development Schemata to Support English Composition -- Understanding Student Answers in Introductory Physics Courses -- Learning Tutorial Rules Using Classification Based on Associations -- The Effect of Problem Templates on Learning in Intelligent Tutoring Systems -- Situation Creator: A Pedagogical Agent Creating Learning Opportunities -- Fitting Spatial Ability into Intelligent Tutoring Systems Development -- Further Evidence for the Deep-Level Reasoning Question Effect -- A Framework for Problem-Solving Knowledge Mining from Users' Actions -- Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effect Methods -- Automated Assessment of Problem Difficulty in Mathematical Analysis -- Automatically Generated Inspectable Learning Models for Students -- In-Game Help in the Tactical Language Training System -- Supporting Learning Design via Dynamic Generation of Learning Routes in ADAPTAPlan -- Developing Seamless Learning Environment for Primary Science Education -- Optimizing Student Models for Causality -- Sun Seeking: Interactive Story-Reading Through Different Media -- Effect of Metacognitive Support on Student Behaviors in Learning by Teaching Environments -- A Multi-Dimensional Paper Recommender -- Learners' Self-Organization as a First-Class Concern for CSCL Macro-Scripts -- Supporting Collaborative Idea Generation: A Closer Look Using Statistical Process Analysis Techniques -- Context Based Classification for Automatic Collaborative Learning Process Analysis -- Towards a General Model for Supporting Explanations to Enhance Learning -- Atomic Dynamic Bayesian Networks for a Responsive Student Model -- The Distribution of Student Errors Across Schools: An Initial Study -- Towards Learning Knowledge Objects -- Young Researchers' Track Abstracts.

Toward a Generic Cognitive Model of Knowledge Representation - A Case Study of Problem Solving in DC Electrical Circuits.
Abstract:
The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualised as a research community and Interactive Learning Environments were initially developed. Technology is smaller, more mobile, networked, pervasive and often ubiquitous as well as being provided by the standard desktop PC. This creates the potential for technology supported learning wherever and whenever learners need and want it. However, in order to take advantage of this potential for greater flexibility we need to understand and model learners and the contexts with which they interact in a manner that enables us to design, deploy and evaluate technology to most effectively support learning across multiple locations, subjects and times. The AIED community has much to contribute to this endeavour. This publication contains papers, posters and tutorials from the 2007 Artificial Intelligence in Education conference in Los Angeles, CA, USA.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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