Course Design

Learn how to identify the three types of coders: students coding to understand, students coding as a skill and those learning coding as a career. We also explain the needs of these groups and how you can best tailor your code classroom to them.

Computer Science courses are growing each year, leaving teachers with more and more work to grade all coursework. Learn how Alex from the University of Nevada, Las Vegas used an autograder to grow his classroom without compromise.

Regular Python error messages can be discouraging for students learning to code. Learn how you can set up CodeGrade's autograder to give students more easy to understand error messages for your Python course.

It is the question each CS teacher will come across: which programming language should I teach first? In this article we discuss how you can best choose a programming language (from Python and Java, to Haskell, C# and JavaScript) and programming paradigm to teach in your intro coding classroom!

In this literature research, you learn why students in Computer Science education and coding classes perform worse on average and how you can prevent that in your programming classroom!

CSEd researcher Luca Chiodini discusses how you can use programming misconception theory to improve your Python course, Java course or JavaScript coding course.

Learn how to autograde Python, Java and Jupyter Notebook programming assignments easily and effectively using CodeGrade.

Learn everything to get started with CodeGrade's autograder for Python and Java the new academic year!

Learn how to automatically grade and assess website User Interfaces (HTML, CSS, JavaScript) using CodeGrade, Selenium for UI and Jest for education

Learn about design principles for meaningful feedback and clear rubrics for computer science education and autograding code.