| The LNCS series reports state-of-the-art results in computer science research，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community，with numerous individuals，as well as with prestigious organizations and societies，LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS，including its subseries LNAI，spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes. —proceedings （published in time for the respective conference） —post-proceedings （consisting of thoroughly revised final full papers） —research monographs（which may be based on outstanding PhD work，research projects，technical reports，etc.）. |
| Assessment Automated Expert Modeling for Automated Student Evaluation Multicriteria Automatic Essay Assessor Generation by Using TOPSIS Model and Genetic Algorithm Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required Authoring Tools Authoring Constraint-Based Tutors in ASPIRE A Teaching Strategies Engine Using Translation from SWRL to Jess The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains Bayesian Reasoning and Decision-Theoretic A Bayesian Network Approach for Modeling the Influence of Contextual Variables on Scientific Problem Solving A Decision-Theoretic Approach to Scientific Inquiry Exploratory Learning Environment Conceptual Change Modeling Using Dynamic Bayesian Network A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems A Comparison of Decision-Theoretic, Fixed-Policy and Random Tutorial Action Selection Case-Based and Analogical Reasoning Evaluation of a System That Generates Word Problems Through Interactions with a User Time in the Adaptive Tutoring Process Model Coaching Within a Domain Independent Inquiry Environment Cognitive Models How "Consciousness" Allows a Cognitive Tutoring Agent Make Good Diagnosis During Astronauts' Training Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement Collaborative Learning A Constraint-Based Collaborative Environment for Learning UML Class Diagrams …… Author Index |
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