• ALEKS Uses Artificially Intelligent Learning To Guide Students to Course Mastery.

    Using ingenious student input tools, ALEKS replaces multiple guesses with authentic problems that require the student to understand, learn, and master the topic. ALEKS developers and subject matter experts are accomplished in developing easy-to-use input tools that align perfectly with the subject matter.

    ALEKS Intelligence uses machine learning based on Knowledge Space Theory to efficiently develop and maintain a detailed map of each student's knowledge. ALEKS knows, at each moment, with respect to each individual topic in the course, whether the individual student has mastered that topic and if they are ready to learn it now. ALEKS facilitates super-effective learning by offering the student a selection of the topics that they are currently ready to learn. Since the student is always working at the boundary of their current knowledge, ALEKS students are not frustrated or bored as they are when they work on material that is too easy or too hard for them. Instead, the student's confidence and learning momentum build as they are challenged by, works on, and then masters each new topic.

    As the student masters each new topic, the student's progress is shown to them as filling a pie. As each new topic is learned, students are motivated as they progressively fill their ALEKS pie. The ALEKS pie is divided into slices for the various branches of each subject. In ALEKS, students always work at the boundaries of their current knowledge.

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