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Utilizing Data to Improve Student Knowledge and Outcomes

Course #: 02-1386

Price: $63.00

Take the Exam 

Please Note: This course has varying hours depending on the type of credit you need. See Below.

  • IACET: 0.4 CEUs
  • All Other Organizations: 7.00 Hours

This course is approved for Wyoming teachers only.

Take the Exam 

How to Take This Course:

  • 1 View Course Worksheet -  View the course worksheet or print it out to review later
  • 2 Read the Course Material -  As you read through, mark your answers on the course worksheet to be prepared for the exam
  • 3 Take Exam -  You must achieve a score of 75% or higher in order to earn credit for the course.
  • You don't need to pay for an exam until AFTER you pass it. If you have any questions or need more information, please click here.

CEU Course Description

Part 1: 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.

Part 2: In recognition of the critical need to support educational attainment and graduation, early warning systems have been developed to strategically use data to identify students in need of additional support and interventions that will help improve their success. The purpose of this continuing education course, developed using information from the National Forum on Education Statistics, U.S. Department of Education, is to help state and local education agencies plan, develop, implement, and use early warning systems within their agencies. The course provides a description of early warning systems and illustrates the ways in which these systems can help education agencies act on early warning data to improve student outcomes. In addition, the essential role of timely and actionable quality data in early warning systems is presented as well as case studies from state and local education agencies that have implemented or are in the process of implementing an early warning system.

CEU Course Objectives

Part 1:

  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.

Part 2:

  1. Define early warning systems, review their use in education agencies, and explain how to adopt an effective early warning system planning process.
  2. Illustrate the ways in which these systems can help education agencies act on early warning data to improve student outcomes.
  3. Review the role of indicators and quality data in early warning systems and summarize techniques for analyzing early warning data.
  4. Analyze trends and innovations in early warning systems, indicators, data, and analytical models.
  5. Identify strategies and best practices for education agencies that are considering implementing, or have already implemented, an early warning system.
  6. Highlight case studies from state and local education agencies that have implemented or are in the process of implementing an early warning system.

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Course Date: 2023-03-31

Content License

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Proprietary Interest Policy

We will disclose, in advance, any proprietary interest in any product, instrument, device, service, or material to be discussed during the learning event, as well as the source of any third-party compensation related to the presentation. This policy applies to both our organization and contractors. If such proprietary/financial interests exist, we will publish a disclaimer in marketing or instructional materials for a course.

No conflict of interest or relevant financial relationship was identified for this learning activity for individuals in a position to control content.

System Requirements

In order to view this course, you will need to be able to view a PDF document for the course material. If your device doesn't have the capability to view a PDF, you can click here to download Adobe Acrobat for free.

Special Needs

If you require ADA or other special needs accommodations, please contact us by email: support@teachmeceus.com or by phone 1-800-413-5262, so arrangements can be made.


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