“I’ve managed more than 4,000 SLOs this year there is no way I could have done it without TEAMS.” Cliff Eichel, Director of Assessments and Accountability – Charles County Public Schools, MD
Chantilly, VA (PRWEB) March 09, 2016
Student Learning Objectives (SLOs) are one of the many measures for the student growth component of teacher evaluations, and an integral part of educator effectiveness measured in many school districts. Districts strive to standardize the SLO template by specifying standard questions teachers use to write their SLOs. Writing an SLO also includes selecting the cohort of students who are included in the SLO and specifying which test(s), if any, will be used to measure growth. The typical workflow for an SLO includes approval by the principal.
Using TEAMS, a new teacher evaluation software platform developed by Insystech, Charles County Public Schools in Maryland announced that they've created their 4,000th Student Learning Objectives (SLO) this school year. As teacher evaluations become increasingly complex for most school districts, SLOs are seen as an integral measurement of educator effectiveness in terms of student growth.
Charles County Public Schools is a district of nearly 27,000 students near Washington, DC. All 2,200 + teachers and 400+ administrative staff use TEAMS throughout the school year.
Ramji Venkatachari, president of Insystech commented, "We developed TEAMS after many conversations with teachers and administrators who were bogged down in the very time consuming evaluation process. Our focus was to provide a simplified and collaborative platform that provides real value to the evaluation process. We're thrilled that Charles County is seeing real success with TEAMS. We're looking forward to expanding the TEAMS program with more districts."
TEAMS, short for The Evaluations & Assets Management System was developed to simplify the teacher evaluation process. TEAMS enables districts to easily create and manage SLOs; follow the SLO review workflow; set up and manage student cohorts and develop SLO computation metrics as well as automatically compiling, processing and publishing SLO scores.