Research Results
QUANTUM TUTORS
Quantum Tutors - Learning Principles
of AI Technology
In this guide you will find an executive
summary of the relevant educational research, learning theories and
effective classroom practices that support the design of the Quantum
Tutors. The paper discusses how the Quantum Tutors utilize inquiry-based
learning, scientific thinking, modeling and scaffolding to teach students
how to become better learners and independent thinkers. (PDF)
[more]
Quantum Tutors - Wexford Evaluation
Report
See what teachers and students say about the Quantum Tutors compared
to human tutors and other tutorial software. (PDF) [more]
Quantum Tutors - Balancing Chemical
Equations (High School Study)
Quantum Artificial Intelligence Tutoring
Software and Assessment Tool Improves Student Test Scores by Full
Letter Grade. (PDF) [more]
Quantum Tutors - Oxidation Numbers
(University Study)
Students Improve Problem-Solving Ability
by 45% with Quantum Artificial Intelligence Tutors. (PDF) [more]
Quantum Tutors - Accounting Cycle (University
Study)
Artificial intelligence tutoring software
for accounting improves student test scores by at least a full letter
grade. (PDF) [more]
QUANTUM ASSESSMENT ADVISORS
Quantum Assessment Advisors - Oxidation Numbers (High School Study)
Research proves that Quantum Assessment
Advisors can significantly reduce or eliminate teachers' grading time
and are more accurate and consistent than human graders. (PDF)
[more]
PUBLISHED PAPERS
M. B. Walsh, C. M. Moss, B. G. Johnson,
D. A. Holder and J. D. Madura, "Quantitative Impact of a Cognitive
Modeling Intelligent Tutoring System on Student Performance in Balancing
Chemical Equations," Chem. Educator 7, 379 (2002). [more]
D. A. Holder, B. G. Johnson and P. J.
Karol, "A Consistent Set of Oxidation Number Rules for Intelligent
Computer Tutoring," J. Chem. Educator 79, 465 (2002).
[more]
B. G. Johnson and D. A. Holder, "A Cognitive
Modeling Tutor Supporting Student Inquiry for Balancing Chemical Equations,"
Chem. Educator 7, 297 (2002). [more]
B. G. Johnson and D. A. Holder, "An
Artificial Intelligence-Based Program for Automated Grading of Student
Work in Balancing Chemical Equations," Chem. Educator 8,
271 (2003). [more]

Copies of these publications are available
upon request.