Click her for our Virtual Learning gym: https://sites.google.com/hueneme.org/huenemevirtuallearninggym/home
Earlier this week we announced that all Ventura County schools are closed at least through May 1, 2020. We recognize this time is causing stress and anxiety for many, and losing the structure of the school day and learning opportunities for your child(ren) certainly contributes to those feelings. Hueneme teachers and staff are committed and determined to deliver a high-quality education to your child. Please click HEREOpens new window for notice sent from our superintendent Dr. Christine Walker.
During Formal Distance Learning:
Grades TK - 1: Students will receive bi-weekly packets of learning materials with a daily schedule to follow. Teachers will be checking in with students at least one time per week. Materials in the packets may include things such as student textbooks, workbooks, project assignments, worksheets, etc
Grades 2 - 5: Students will receive learning through a combination of on-line platforms and bi-weekly packets with a daily schedule to follow. Materials in the packets may include things such as student textbooks, workbooks, project assignments, worksheets, etc. Online learning may include Google Classroom as well as other online websites and apps.
Here is what you can expect over the next six weeks:
March 23 - 27: Students in grades TK - 6 will be contacted by their teacher to check in and see how they are doing. Students will continue enrichment activities in the virtual gym, in their workbooks and in their paper packets, while staff are preparing and training for formal distance learning.
April 2 - 3: TK - 5 students will pick up learning packets (to be used April 20 - May 1), daily schedules and mobile devices (if required by the teacher) to be used when distance learning begins after spring break. Trimester 2 report cards will be sent home.
April 6 - 17: (Spring break) Wifi hotspots will be distributed to students who do not have wifi at home.
April 20: School resumes through formal distance learning.