Mastery Grids Interface

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Mastery Grids is an open social learner modeling interface written in Javascript. The interface shows the student's progress or knowledge in topics or content types comparing with other learners, and provides navigation support to access suitable educational content.


Overall Visualization

Mastery Grids presents and compares user learning progress and knowledge level (mastery) by colored grids from four perspectives as shown in the following figure. The four perspectives show the current student’s progress (“Me” or my progress), a comparison of performance of current student versus other student in the group (“Me vs group” or comparison grid), performance of the students in the group (“Group” or group grid), and performance of all of the students in the class.

MG1.jpg


Social Comparison

Social comparison is implemented in two ways: 1) Me vs group, which compares an individual learner’s progress or knowledge level with the entire group of students, and 2) Me vs other students, which compares an an individual learner’s progress or knowledge level with each of other students. Such comparisons can be further conducted by resource types (learning materials) as shown in following figure.

MG2.jpg


Open Learner Model

Mastery Grids is our latest implementation of open learner modeling built based on our past successful systems (e.g., InterBook, QuizGuide, NavEx, QuizMap, Progressor). Combining open learner model with social comparison, i.e., open social learner model, Mastery Grids not only enables a student to be aware of the strength and weakness among his/her own knowledge modules, but also stimulates students to work harder. Our open social learner model encourages students to catch up with other students (observing average class progress or advanced students’ progress) and follow the potential good learning path of the peers.


Links

  • Try an interactive demo of Mastery Grids here
  • Read a slide presentation about Mastery Grids here.
  • Watch a video about Mastery Grids here.
  • Download the source code here.