Categories of Evidence Multiple measures of student learning, growth, and achievement, judgments based on observations and artifacts of professional practice, including unannounced observations of practice of any duration; and additional evidence relevant to one or more Standards of Effective Teaching Practice (603 CMR 35.03).
Categories of Data The Personal Data transferred includes but is not limited to the following categories of data:
Categories of Data Subjects Any individual accessing and/or using the Services through the Customer's account ("Users"); and any individual: (i) whose email address is included in the Customer's Distribution List; (ii) whose information is stored on or collected via the Services, or (iii) to whom Users send emails or otherwise engage or communicate with via the Services (collectively, "Subscribers").
Categories of Data Subject 2.1. When using this Service, the groups of individual’s data by category • Your end users using the service that you deliver • The personal data about your employees and contractors that bookinglab collects as a Customer of ours to complete account administration and set up
CATEGORIES OF EMPLOYEES The following categories of employees may apply for benefits under this policy: Category 1: Employees who have acquired eighty-five KPERS retirement points (a combination of age and KPERS service that adds to 85) and who have completed by June 30 of the retirement year fifteen (15) years of service in USD 434 that could include service given through the employment of the Three Lakes Cooperative. Category 2: Employee who qualifies for retirement under the basic provisions of KPERS. These employees must have attained the age of 62 and have 10 years of vested service in KPERS but have not acquired eighty-five retirement points at the time of retirement and who have completed by June 30 of the retirement year fifteen (15) years of service in USD 434 that could include service given through the employment of the Three Lakes Cooperative.