Codio's ease of use and streamlined platform enabled UT Dallas to gain more control over its courses and give students faster feedback, helping them improve more quickly.
Check out the full case study: https://t.co/I3q7hPtjVe
With LLMs in the picture, assessing learners’ code writing is tricky, but probeable problems offer an AI-resilient solution.
Here, we dive into why they're an effective assessment type.
Check out the full webinar:
https://t.co/VtI5a51DlZ
At Macomb Community College, student time spent in Codio is tied to better performance through:
-- Custom and interactive courseware written to best suit students’ needs
-- Immediate autograded feedback so students can improve and correct mistakes as they practice
If your labs die before they start, it’s usually because of environment chaos.
Giving every student the same starting point eliminates that chaos, which means less friction, and more completion.
Ever accidentally shipped the solution with the lab?
A solution block prevents that. It keeps the solution available for you (and for testing autograders) while students aren’t accidentally given the answer.
Watch the full webinar for more insights: https://t.co/dZ49E8XSs0
At the University of Florida, Codio is used in large computing courses and fosters:
--better student management
--more efficient grading
--exams that will prepare students for programming interviews.
Explore the full case study: https://t.co/wepOcBrYH9
Want students to focus on the task, not mess with scaffolding?
Freeze blocks enable instructors to lock the code students shouldn’t touch, while still letting them work where it matters. A simple idea with a huge reduction in lab chaos.
AI isn’t here to replace instructors—it replaces the bottleneck.
Teachers can’t be everywhere at once, but feedback and guided support can be. Students get the support they need on their own time.
Codio CEO Doug Hughes was featured in Business Insider this weekend on the evolution of expectations around college. As Doug shared, a degree alone is no longer enough. Employers increasingly expect applied, real-world skills from day one.
https://t.co/0B8uNa2hwV
Codio's ease of use and streamlined platform enabled UT Dallas to gain greater control over its computing courses and provide students with faster feedback, helping them improve more quickly.
Check out the case study: https://t.co/yJzahbQAJT
Moving from content consumption to learning by doing means students get to write and execute real code, instructors get to observe attempts and iteration, and Coach, our AI assistant, can give hints, not answers.
Watch our full webinar - https://t.co/ymeMJiGVNx
Instant, built-in feedback is crucial. With multiple attempts, nudges, and explanations right inside the assignment in Codio, learning doesn’t stall while learners wait for grading.
Watch our full webinar - https://t.co/25rc7qyyWC
With Codio, instructors are in control of AI.
You get to decide if Coach, Codio’s AI learning assistant, is on in your course and how exactly it can help students.
Learn more about Coach - https://t.co/fN6nmBKMCc
Codio enabled Hoda Hassan to better understand her students' engagement rates, mentor those students who needed the extra support, and identify those who were short-cutting labs and assignments.
In an AI-assisted world, the process is the proof.
Assignment attempts, iterations, time on task, and error patterns all provide rich insights into learner behavior and mastery, even with AI in the picture. Evaluating the process is how you know your learners really get it.
The cycle of attempting, failing, debugging, and succeeding is where learning really happens.
Codio fosters efficiency in that cycle, keeping learners from getting stuck and ensuring they get the support they need.
Watch the full webinar: https://t.co/OaYGPlP56H
In this week’s webinar, we broke down how to design data analytics assignments that require actual work, incorporate AI without losing assessment signal, and structure your course so students stay engaged.
Watch the full recording - https://t.co/OaYGPlP56H
Building labs that actually engage students can be challenging.
Making progress tangible for learners, so they can see their code working, can give them a small win and boost morale.
Using check points is an easy way to make the assignment more digestible and engaging for students. With opportunities to test their work and a clear path forward as they progress, learners can gain confidence as they go.