A new report from Silicon Schools: All that we've learned: 5 years working on personalized learning -- Cover of report

 

A new report from Silicon Schools: All that we've learned: 5 years working on personalized learning

 

 

 

“Personalized learning seeks to accelerate student learning by tailoring the instructional environment — what, when, how, and where students learn — to address the individual needs, skills, and interests of each student. Students can take ownership of their own learning, while also developing deep, personal connections with each other, their teachers, and other adults.”

 

 

 

A new report from Silicon Schools: All that we've learned: 5 years working on personalized learning

 

WE’VE ALWAYS HAD FOUR STRONG BELIEFS:

  1. Students’ ownership of their learning is critical to long-term success.
  2. When it comes to learning, students should get more of what they need exactly when they need it.
  3. Ensuring equity requires getting each student what he or she needs to succeed.
  4. It is possible to redesign schools to work much better for students and teachers.

 

 

 

 

We do not believe that there is yet definitive proof that personalized learning works better than other models. Ultimately, we hope that personalized learning will improve life outcomes for students, with clear evidence to support its efficacy. In the interim, we look to traditional academic measures (e.g. state assessments or assessments like NWEA MAP), to provide early signs of the efficacy of personalized learning.

Despite the lack of conclusive proof, there are two important data sets that we find compelling. First, RAND conducted a study of 11,000 students and 62 personalized learning schools nationally and found that “students made significant gains in mathematics and reading overall, and in elementary and middle schools [1].” More recently, RAND published the third of its studies of personalized learning. It again found statistically significant gains in math, however, the effect size had decreased notably [2].