Affiliations: Department of Artificial Intelligence, University of
Malaya, 50603, Kuala Lumpur, Malaysia. E-mails: smfd@um.edu.my;
pjs@mmm-technology.com | Department of Chemistry, University of Malaya, 50603,
Kuala Lumpur, Malaysia. E-mail: smzain@um.edu.my
Abstract: 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.
Keywords: Interactive learning environments, improving classroom teaching, intelligent tutoring systems