Quantum Tutors solve limitations of textbooks and homework systems by providing personalized learning paths, targeted practice and step-by-step feedback to improve student conceptual understanding and retention.
Pittsburgh, Pennsylvania – April 12, 2011, Quantum Simulations, Inc., a leader in artificial intelligence (AI) innovation, announced today a new AI-based learning method, Targeted Practice, which is proven to improve student learning efficiency and optimize study time effectiveness. The learning approach is a component of Quantum’s tutoring software which provides students with individualized homework feedback and instructors with on-demand assessment tools summarizing improvement and mastery outcomes.
In a study evaluating student learning at the California Polytechnic State University (Cal Poly) in San Luis Obispo, California, 88 undergraduate students taking an Introductory Financial Accounting course were randomly divided into two groups. Half of the students practiced with conventional textbook problems and half used Quantum’s Targeted Practice approach which applies principles of cognitive load theory, a research-based model of how memory works, to maximize student comprehension and retention…
Read the full press release at: www.quantumtutors.com/news4_26_11.html
