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Learn how to customize Codio's Behavior Insights feature to monitor student progress and detect potential plagiarism with configurable parameters.

Learn more about what Codio sees for the significant potential in the future of AI in computing education.

Educators can foster academic integrity in computer science education by using plagiarism detection tools, creative assessments, and a supportive framework.

The impact of mastery-based learning practices like objectives, grading, feedback, and practice on students' learning experiences in computing courses.

SIGCSE 2023 in Toronto was a great opportunity for the Codio team to engage with and learn from the computer science education community!

Due to the rise of tools like ChatGPT, CS Education tools need to emphasize students' process over the product. Introducing: Codio’s Behavior Insights!

Educators who wish to foster a more positive and productive learning environment should adopt mastery-based practices like those described in this research.

Codio’s usage grew dramatically in 2022, with learners completing over 1 million assignments, and on average spending over an hour a week on Codio!

Parameterized assessments allow instructors to author one question, with some randomized variables, often meaning students will have a unique assessment.

With randomized and parameterized assessments, you can forget about detecting plagiarism—you can outright prevent it with evergreen course materials.