As you begin each class, we know that you welcome a diverse group of students from a variety of backgrounds with wide ranges of preparation. Each student has unique prerequisite gaps and deficiencies, making it difficult to provide the individualized support each student requires. As a result, courses often face rates of high failure and low retention.
These challenges are exacerbated as corequisite courses gain prominence and students enter courses even less prepared. You must support individual prerequisite gaps while also shaping and standardizing the course content you are required to cover. ALEKS is a learning platform that can help you do both.
ALEKS provides flexibility and control when shaping your course to help you reach every student regardless of background. Rooted in research and analytics, ALEKS identifies what your students know, what they don’t know, and what they are ready to learn. In order to reach all students, you need a system that supports them individually but also allows you to create assignments that align to your course goals.
In a single platform, ALEKS provides a balance of adaptive practice for skill mastery and non-adaptive assignments for application and assessment.
Regardless of your instructional style or course format, you have control of the learning experience with your blend of adaptive and non-adaptive assignments to provide:
ALEKS is rooted in research and analytics. It was developed by cognitive scientists, software engineers, mathematicians, and educators who wanted to break the mold of standardized assessments and traditional classrooms. Using groundbreaking research in Knowledge Space Theory, these pioneers in adaptive learning designed an efficient way to measure students’ knowledge to provide them with a personalized, meaningful learning experience.
Each student has a unique knowledge state that consists of the topics he or she knows, doesn’t know, and is ready to learn. As students work in ALEKS, their knowledge state grows with learning and can shrink when they forget. Instead of relying on self-evaluation or a one-size-fits-all model, ALEKS creates an efficient, personalized path through the course content based on each student’s unique knowledge state.
Knowledge spaces are mathematical structures that model how the feasible knowledge states in a subject connect. ALEKS utilizes this model to dynamically map out a unique learning path for each student to get him or her from initial knowledge state to full knowledge state, or mastery of the subject. This image represents all the possible learning paths for a Beginning Algebra course. The average course has over a trillion feasible knowledge states.