In general terms, the types of student data that may be collected and shared include personally identifiable information (PII) about students or information that can be linked to PII about students, such as: Basic identifying information, including student or parent/guardian name and student or parent/guardian contact information, username/password, student ID number Demographic information Enrollment information Assessment data, grades, and transcripts Attendance and class schedule Academic/extracurricular activities Special indicators (e.g., disability information, English language learner, free/reduced meals or homeless/foster care status) Conduct/behavioral data Health information Food purchases Transportation information In-application performance data Student-generated work Online communications Application metadata and application use statistics Permanent and temporary school student record information Operators may collect and use student data only for K-12 purposes, which are purposes that aid in the administration of school activities, such as: Instruction in the classroom or at home (including remote learning) Administrative activities Collaboration between students, school personnel, and/or parents/guardians Other activities that are for the use and benefit of the school district Data Privacy Agreements (DPA) CCSD15 leverages the Student Data Privacy Consortium (SDPC), which is an unique collaborative of schools, districts, regional, territories and state agencies, policy makers, trade organizations and marketplace providers addressing real-world, adaptable, and implementable solutions to growing data privacy concerns

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It feels substantial, rough enough to survive a basement show, but soft enough that you will not want to take it off until noon the next day
While punishment was acknowledged as a deterrent for some pupils, many participants believed that anticipated rewards were more influential in encouraging sustained non-smoking behaviour, particularly for pupils who may not respond to threats or sanctions
CYP1A1 and GSTM1 genetic polymorphisms and lung cancer risk in Caucasian non-smokers: a pooled analysis