Please Note: This course has varying hours depending on the type of credit you need. See Below.
Personalized learning aims to tailor instruction to the needs, talents, and skills of each individual learner, and rapid advances in technology platforms and digital content over the last decade have enabled more widespread use of personalized learning. The purpose of this continuing education course, developed using information from the National Forum on Education Statistics, U.S. Department of Education, is to provide an overview of personalized learning and describe best practices to collect data for personalized learning, to use those data to meet personalized learning goals, and to support the relationships, resources, and systems needed for effective use of data in personalized learning. In addition, data considerations needed by different locations depending on their approach to personalized learning are presented as well as questions such as which data elements are appropriate at the district or state levels.
1. Define personalized learning, identify its key components, and discuss effective use of technology in this type of learning.
2. Describe the categories and considerations involved in personalized learning data and differentiate between structured and unstructured data.
3. Outline strategies to create a strategic plan to support personalized learning and to modify infrastructure and learning environments when implementing the plan.
4. Illustrate ways to sustain personalized learning, to ensure the privacy of data, and to develop and maintain support structures.
5. Highlight case studies from states and districts that have implemented or are transitioning to personalized learning and evaluate how they are managing and using personalized learning data.
6. Review the challenges of personalized learning and consider continuing questions that need to be addressed.
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Course Date: 2020-03-02
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