Poets are encouraged to submit original poems from April 1–30 to participate in Dakota County Library’s annual Poetry Contest.
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See this map to see which entrances your students should use this year.
Please be alert for, and patient with new routines that will be developing over the next few weeks.
The big news? You can join sixth grade band next year EVEN IF YOU DIDN'T DO BAND in fifth grade! That's FANTASTIC!
See the new district video about re-entering our schools.
Parkview will be mailing yearbooks to all families as soon as they arrive.
Order school supplies now for fall 2020.
Please consider subscribing to our online calendar.
District News
Browse our online catalog and register now to ensure your spot in a class that sure to engage, inspire and enrich you and your family!
Interested in your student continuing to learn fully online next school year? Explore our new virtual school, 196Online.
Review this important information about free meals, late start Wednesdays, technology help, transportation and wellness checks.
Grades preK-2 will return on Thursday, January 21 and grades 3-5 will return on Thursday, February 4.
Governor Walz announced a change in the state’s Safe Learning Plan to allow a phased-in return of elementary students to in-person learning. Details of our plan for elementary students will be shared by January 8.
Browse our online catalog and register now to ensure your spot in a class that sure to engage, inspire and enrich you and your family!
Both calendars are based on an all in-person learning mode. Each calendar has 172 days of instruction for elementary students and 171 days for secondary students.
In recognition of this important declaration, we encourage District 196 families to explore the rich history of indigenous people around the United States and in Minnesota.
Each school will share site-specific details about the change at their building. There will be no school for all preschool and elementary students only Nov. 19 and 20.
The district has a process and timeline for determining when to shift to a different learning model based on multiple data points and factors.