Researchers: David Boulanger, Jeremie Seanosky, Colin Pinnell, Jason Bell
MI-IDEM stands for Mixed-Initiative Instructional Design Evaluation Model.
The goal of the MI-IDEM project is to design a model to evaluate the effectiveness of instructional designs of courses. Using Bayesian Belief Networks, MI-IDEM assesses the quality of course design based on learning analytics data collected from the student’s learning environment, through surveys, from the instructors, and other means.
Overall, the goal of the MI-IDEM project is to design a model to evaluate the effectiveness of instructional designs, such as courses, etc.
We are researching methods to assess the quality of course design based on learning analytics data collected from the student’s learning environment through surveys and/or learning data collection mechanisms (sensors). Using Bayesian Belief Networks (BBN), we intend to use probabilistic analysis to determine the level of quality of the instructional design, especially in the setting of online education.
MI-IDEM is a project that was started some time ago and has been documented in the following research articles:
- MI-IDEM: A Framework to Evaluate the Instructional Design of Online Courses
- MI-IDEM: A Model to Evaluate Instructional Design using Bayesian Belief Networks
- Assessing Design of Online Courses Using Bayesian Belief Networks