The Art and Science Academy teaching methods are guided by the philosophy of individualizing education to meet the needs of all students.  Two processes used  to accomplish our goal of individualizing education are also used by all successful schools;

1. Data-Driven Decision Making (DDD) and; 2. Mastery Learning.

ASA teachers will use data gathered frequently from student (formal and informal) assessments and develop small group or individualized lessons to go back and re-teach concepts until all students have learned or mastered the topic (mastery learning). In some cases, this process will be used to plan advanced lessons or projects (enrichment) for advanced students needing more challenging work. This practice helps to ensure that all students are learning a standard prior to advancing on in the curriculum. This is especially important in topics of math and science where success in one standard is often dependent upon how well a student has mastered previous ones. For example, we want to make sure that students have mastered the topic of adding and subtracting fractions before they move on to multiplying and dividing fractions.  Small group and individualized learning benefits all students, including those who are advanced and may become bored easily in class. Within this highly supportive classroom design, advanced students can also work in small groups or individually on enrichment projects designed around their particular interests.