Broadband Case Study Digital Learning Personalized Learning 
Doug Levin
SEPTEMBER 18, 2017
Anonymizing datasets is a practice fraught with challenges , especially in cases where data from multiple sources are combined. Indeed, dissent by obfuscation is against the spirit of personalized learning and ‘student success’ systems, if not also literally against their terms of service.
Doug Levin
SEPTEMBER 18, 2017
Anonymizing datasets is a practice fraught with challenges , especially in cases where data from multiple sources are combined. Indeed, dissent by obfuscation is against the spirit of personalized learning and ‘student success’ systems, if not also literally against their terms of service.
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