Artificial Intelligence - Special volume on qualitative reasoning about physical systems
CyclePad: an articulate virtual laboratory for engineering thermodynamics
Artificial Intelligence - Special issue on applications of artificial intelligence
Articulate software for science and engineering education
Smart machines in education
CHEMPROF: "The Chemical Literacy Problem"
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
Designing organic reaction simulation engine using qualitative reasoning approach
ACS'08 Proceedings of the 8th conference on Applied computer scince
An ontology-based reasoning framework for reaction mechanisms simulation
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
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In building an intelligent tutoring system, researchers quest for robust techniques and suitable approaches so that intelligent and interactive communications between learners and the system can be seamlessly established. The aspects of communication encompass the four properties of articulate software defined by Forbus (2001) which are fluent, supportive, generative and customizable. The building of articulate software (QALSIC) for learning inorganic chemistry at high school level is discussed in this paper. The four properties are represented in our system through knowledge-based and qualitative process theory approaches. The interactiveness and intelligence of the system are demonstrated in its intelligent responses to unprecedented events, unknown substances, and flexibility in usage. The system can be used symbiotically with the traditional laboratory, as well as, as an independent system in which it offers a more flexible learning environment at a lower cost. The strength of the system is centred at its explanatory capabilities in using chemistry knowledge. We envisage that the system will improve intuitive learning in students while enhancing the traditional didactic learning.