Our research- and evidence-based literacy, math, and summer school solutions are proven to increase student engagement and achievement.
SEARCH ALL PRODUCTS
Step Up to Writing®
SEE ALL LITERACY
SEE ALL MATH
Voyager Sopris Learning® is the proven leader in providing research-based professional development for teachers and education leaders.
Connecting LETRS to the Classroom
Fundamentals of Literacy Instruction
We work with schools and districts to customize an implementation and ongoing support plan.
Passport Reading Journeys™
Ticket to Read®
A foundational ability of humans is the willingness to try things to see how they work out. This might be the most important talent we have developed.
Is there a more efficient way to begin PD or coaching, one where the teachers’ needs are more common than they are divergent? Can this be done in a way that is nonthreatening, at least in comparison to in-class coaching with feedback?
A colleague and I have been looking at progress and outcome measures for a number of students using different interventions. After much plotting and discussion, we came to a remarkably insightful conclusion that I would like to share with you.
When we think of the growth mindset, the two characteristics most often mentioned are intelligence and effort. What is just as relevant, but often overlooked, is intellectual curiosity. Sophie von Stumm and her colleagues have described it as “the hungry mind” and “the third pillar of academic success,” which are perfectly appropriate.
A common complaint about standardized assessments in this time of high-stakes testing is that while teachers and administrators are held accountable, students are not. Of course, teachers must be responsible, but by leaving learners out of the conversation, students often are not vested in the process.
In the field of psychological testing, a difference exists between typical and maximal performance. When personality is measured, we hope to identify typical characteristics. When abilities are measured, we try to get subjects to do their best so we can understand what their maximal performance is.