• Length:
    8 Weeks
  • Effort:
    8–10 hours per week
  • Price:

    FREE
    Add a Verified Certificate for $199 USD

  • Institutions
  • Subject:
  • Level:
    Intermediate
  • Language:
    English
  • Video Transcript:
    English

Prerequisites

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.

About this course

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 UMUC. Upon completion of the program and receipt of the verified MicroMaster’s certificate, learners may then transition into the full UMUC Master’s Program in Learning Design and Technology. See the MicroMasters program page for more information.

What you'll learn

  • 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
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

Meet your instructors

Randy Hansen
Professor and Program Chair, Learning Design and Technology
University of Maryland University College

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Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.