WWW: Past, Present, and Future
Computer
A General Platform for Inquiry Learning
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Creating an inquiry-learning environment using the world wide web
ICLS '96 Proceedings of the 1996 international conference on Learning sciences
Evaluating Inquiry Learning Through Recognition-Based Tasks
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
An integrated approach to implementing collaborative inquiry in the classroom
CSCL '97 Proceedings of the 2nd international conference on Computer support for collaborative learning
Evaluating Inquiry Learning Through Recognition-Based Tasks
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Advancing Development of Intercultural Competence through Supporting Predictions in Narrative Video
International Journal of Artificial Intelligence in Education
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Exploring inquiry-based problem-solving strategies in game-based learning environments
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
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We have developed a range of critical thinking environments for science education that span several academic content areas, including human biology, geology and forestry. All environments share a methodology, infrastructure and sets of assumptions and tools, which allows them to leverage from the accomplishments and intuitions of the others. These tutors support a student on the Web to be active and engaged, track that student's critical thinking and reason about her knowledge and its own teaching strategies. An Inquiry Notebook provides a way to sort, filter and categorize data and justifications and an Argument Editor supports argument formation. Students drag and drop evidence to support or refute each argument. A Coach provides helpful feedback guided by a database of expert rules, which create the basis for the content-specific analysis of the student's argument.