I created this innovation to address the unique challenge of multilevel students in a single class with limited math time. By integrating ALEKS AI, I enable personalized learning, allowing students to select their own topics and pace, ensuring each student's needs are met efficiently and effectively.
In practice, my innovation grants students significant autonomy over their learning. For half of the math sessions each week, they can select topics, review previous material, or conduct self-assessments using ALEKS. As they progress, students are free to seek help from me or from peers, fostering a collaborative learning environment. Older students often assist younger ones, enhancing leadership skills while reinforcing their understanding. The other half of the weekly classes is dedicated to mental math exercises and short, practical projects focusing on applying numerical concepts. This dual approach not only enhances individual learning but also cultivates a community where everyone is both teacher and learner.
The use of AI in education, exemplified by my innovation with ALEKS, is revolutionizing teaching by providing personalized learning experiences. This technology allows students to navigate their own educational paths, choosing what, how, and when to study various mathematical concepts. As a result, students can progress at their own pace, often accelerating their learning. This tailored approach not only makes math more accessible but also more engaging, helping students to advance more quickly than traditional methods would allow.
To try this approach, focus on personalizing each student's learning journey, not just through ALEKS, but by integrating hands-on activities that apply mathematical concepts across various age levels. This method enhances understanding through practical application, ensuring it is personalized, not just independent, learning.
