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
International Agency for Research on Cancer Working Group on the Evaluation of Carcinogenic Risks to Humans
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Lastly, the ability to read customer reviews and ratings before making a purchase is invaluable
It is valued by collectors for the prestige of the brand and the elegance of its design
Supporting this proposition, findings from previous research suggest a relationship between mental health and e-cigarette use in young adults, with longitudinal work indicating that high-severity internalizing and externalizing symptoms predict initiation of e-cigarette use 10
