The Chemical EducatorISSN: 1430-4171 (electronic version) Abstract Volume 7
Issue 5 (2002) pp 297-303 A Cognitive Modeling Tutor Supporting Student Inquiry for Balancing Chemical EquationsBenny G. Johnson* and Dale A. Holder Quantum Simulations, Inc., 5275 Sardis Road, Murrysville, PA 15668 Published online: 30 August 2002 Abstract. Improved
interactive tutoring capabilities in educational software for chemistry
problem solving is an important need that has been clearly articulated
by teachers and students. The purpose of this work is to examine the
incorporation of new concepts from the field of artificial intelligence
(AI) as a route to meaningful individualized tutoring. The basic shift
is to replace specific foreknowledge of problems with a direct representation
of chemical and pedagogical principles and then simulate reasoning using
these principles to tutor students. To assess the potential of an AI-based
approach, we have developed a prototype tutorial program for balancing
chemical equations that contains two important advances. First, the
system can create a worked-out solution with detailed explanations for
any equation entered by the student or teacher. Unlike a conventional
tutorial, this is done dynamically, without the equation being stored
ahead of time. Second, the program can interactively answer a variety
of detailed questions about its work at each step. Studying worked-out
examples plays an important role in learning, and this approach to supporting
interactive student inquiry is being investigated as a method of cognitive
modeling and apprenticeship intended to foster the student’s own self-explanation
and question-asking abilities.
Key Words: Computers in Chemistry; general chemistry; high school chemistry; artificial antelligence; cognitive apprenticeship; computer assisted instruction (*) Corresponding author. (E-mail: johnson@quantumsimulations.com) Article in PDF format (394 KB) HTML format Issue date: October
1, 2002 |