Smart Content

Mastery Grids supports and provides multiple types of learning materials. It has been applied in three domains (Java, SQL, and Python) as a supplementary E-learning system for undergraduate and graduate level programming and database classes since 2013. In each learning domain, courses are organized by topics and different types of learning contents are arranged under each topic. Learning contents contain problems (quizzes), parson problems, annotated examples, and animated examples collected from experienced course teachers, textbooks or domain experts. We present examples of each content type as follows.

Problems

We have developed a content application QuizJET providing problems to learn Java Programming. Here are two problems for Java. The left one shows a problem with a single class asking the value of a variable in a piece of code. The right one shows a problem with multiple classes asking the console output of a piece of code. Correctness is accessed by the content application and students can attempt multiple times with different instantiations of the variables in the problem. Similarly, we have developed a content application QuizPET providing the same type of problems to learn Python Programming.

We have developed a content application SqlKnot providing problems to learn SQL. Here is a problem for SQL. Students are asked to write a complete query to achieve a task in each problem.

Parson Problems

Here is a parson problems for Python. In such problems, students are asked to drag different fragments of a code to construct a complete code in order to achieve a task.

Annotated Examples

Here are two annotated examples for Java (left) and Python (right). Students can click on the left side box to learn about each line’s related concepts.

Animated Examples

Here is an animated example for Python. In such examples, the line-by-line execution of a piece of code is visualized by animations.