Math Scores Rise After Applying ALEKS Personalized Learning at Oak Creek-Franklin in Wisconsin

2,855 views · Published 28 February 2018 · 5:02 · Indexed 18 October 2026

Channel: McGraw Hill PreK-12 · 2018 · Education

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Educators in Oak Creek-Franklin Joint School District have integrated personalized learning and differentiated instruction into core curricula at the middle and high school level, and witnessed escalating math achievement for most students over the past several years. ALEKS has empowered Oak Creek-Franklin's math teachers with the ability to coach and deliver personal success for every student.

Students are using ALEKS, a digital, adaptive math program that applies artificial intelligence and open-response questioning to identify precisely what each student knows and doesn't know. Through individualized learning and assessment, ALEKS delivers a personalized learning path for the exact topics each student is most ready to learn, ensuring a mastery rate of more than 90 percent.

Not only are test scores higher, but students are deeply engaged in their own learning, as gaps in their math skills are closed, and each is caught up to grade level, challenged, and accelerated ahead in many instances. The school district is performing 16 percent and higher above the state average in math.

ALEKS uses adaptive questioning to quickly and accurately determine exactly what a student knows and doesn't know in a course. ALEKS then instructs the student on the topics she is most ready to learn, such as geometry or fractions. As a student works through a course, ALEKS periodically reassesses the student to ensure that topics learned are also retained. ALEKS courses are very complete in their topic coverage and ALEKS avoids multiple-choice questions. 

A student who shows a high level of mastery of an ALEKS course will be successful in the actual course she is taking. ALEKS is now used in all math classes at East and West, as part of the district's workshop model for structuring math classes at the middle school level.

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