We can all agree, coding is hard. But, imagine if one tool could simplify the process? In this blog, Sam discusses OpenAI Codex, a platform that translates natural language into code, using AI. Could this be the start of a new era of coding?
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.
Learn everything about grading Jupyter Notebooks manually and automatically. From theory behind the IPython Notebooks to putting it into practice in CodeGrade for your code assignment.
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 effectively autograde web development and databases courses using Selenium, Jest, Mocha, HTML, CSS, JavaScript, SQLite, MySQL and CodeGrade for computer science education.
