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Course Objectives

Course Objectives. Identify and explain the different concepts and approaches within knowledge management Demonstrate an understanding of the human characteristics of generating, communicating and using knowledge

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Course Objectives

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  1. Course Objectives • Identify and explain the different concepts and approaches within knowledge management • Demonstrate an understanding of the human characteristics of generating, communicating and using knowledge • Understand the models and tools that are used for creating, collecting, codifying and sharing information • Identify the knowledge and information environments of organizations • Explore how leadership can strengthen and support the achievement of the strategic objectives of specific organizations • Identify the data-based decision-making principles for selecting and/or developing appropriate models for predicting change • Understand the ethical issues and problems inherent in knowledge management, information sharing, and decision-making • Develop a solution for a current organizational problem that reflects an in depth understanding of data mining applications which can be used to support decision-making. • Present the organizational solution using persuasive technology (compelling visualizations and illustrations that are audience sensitive)

  2. Course Topics • Session 1: Introduction to Data-Driven Decision-Making and Knowledge Management Session 2: Leadership and Situated decision-makingSession 3: States and AYP: Using Data to Facilitate ChangeSession 4: Data-Driven Decision MakingSession 5: Data-Mining: Strategies, Techniques, Educational ImplicationsSession 6: Mid-termSession 7: The Effective Decision: The Hidden Traps Session 8: Using Data to Persuade and Elements of EvaluationSession 9: The Knowledge Creation Process and Persuasive TechnologiesSession 10: Wrap-upSession 11: Final Exam

  3. Assignments • 1. Course Topic Presentation(25 points) – Develop and facilitate one online whole group activity around an assigned course topic. *Use the Course Topic Presentation Template for this assignment which is available in the ELC. (Introduced in Session 1, due as assigned) • 2. Midterm Exam (20 points) – Complete an open-book exam to demonstrate your knowledge and understanding of important concepts presented in the course. (Session 5)3. Data Based Decision-Making Plan (25 points) – Develop a decision making plan that is directly related to a current data driven or systemic educational issue reflecting an area of interest and/or expertise. (Session 10)4. Final Exam (30 points) – Complete an open-book exam to demonstrate your knowledge and understanding of important concepts presented in the course. (Session 11)5. Course Participation (25 points) – Have an active presence in course discussions, and complete course activities as noted in the activity directions to maximize your learning. (Work throughout the course.)A Data-Driven Decision Making Course Assignment Matrix is available on the Grading page within the Orientation section of the ELC’s Coursebook,which contains a breakdown of assignment introduction and due dates to assist with planning your time. In addition, detailed assignment directions and scoring tools are also available for each assignment on the Grading page.

  4. What has changed in the last five to ten years that has influenced how technology fits into this model?

  5. Evolving data collection, analysis, and dissemination tools

  6. New Ways to Communicate • Second Life - http://secondlife.com/whatis/

  7. Knowledge Management vs. Data Driven Decision-Making • Knowledge Management Data Driven Decision- Making

  8. New ways to collect data - BCPS

  9. TestTrax

  10. Cognos

  11. Data Analysis • Gathering and presenting factual statements Descriptive Diagnostic • Explaining data • Attempting to estimate the results of a planned decisions Predictive

  12. Assessment (Evaluation) vs. Achievement

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