About the content
This the final capstone course in the Instructional Design and Technology MicroMasters program where we delve into evaluation of course design and develop your final capstone project. Evaluation models allow instructional designers to engage in continuous improvement of course design to optimize the student learning environment. During this course we will explore evaluations models, learning management system’s data analytics, and Kirkpatrick’s Levels of evaluation. Finally, you will design, build and publish your capstone project, which is an online learning module.
This is the final course in the Instructional Design and Technology MicroMasters and content builds on the first three courses in the program. It is highly recommended that learners complete the three pre-requisite courses prior to enrolling in IDT 400x.
This course is part of the Instructional Design and Technology MicroMaster’s program from UMGC. Upon completion of the program and receipt of the verified MicroMaster’s certificate, learners may then transition into the full UMGC Master’s Program in Learning Design and Technology. See the MicroMasters program page for more information.
- Define Learning Analytics
- Explain Kirkpatrick’s Assessment Model
- Apply evaluation model to assess and improve course design
- Design and publish an online course as a capstone project
- Reflect on the instructional design cycle
- Explain your philosophy of design
Basic experience in word processing and G Suite. A background in teaching, education, or professional development would be helpful but not required. It is highly recommended that learners complete the three pre-requisite courses prior to enrolling in IDT 400x.
Week 1: Data Driven Learner Models
Introduction to the data driven decision-making process.
Week 2: Actionable Data
Delve into different types of data and the difference between actionable and non-actionable data.
Week 3: Industry Course Measurement Standards I: Quality Matters Certification
Week 4: Industry Course Measurement Standards II: Online Learning Consortium
Week 5: System Tools and Metrics: Using Data to Manage Learner Progress
Week 6: Capstone 100: Apply LDT100 Principles
Week 7: Capstone 200: Apply LDT200 Principles
Week 8: Capstone 300: Apply LDT300 Principles and Looking Ahead
Associate Professor and Program Director for Educational Technology
University of Maryland Global Campus
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