Guides
May 3, 2024

How to Stop Caring about Grades

In 30 seconds...

  • Traditional grading methods are no longer sufficient
  • Embrace alternative methods like:
    • Specification Grading
    • Contract Grading
    • Ungrading
  • Allow for student autonomy and prioritize the learning process
  • Reduce your grading workload

Considering the significance of grades in our educational system, it's hard to deny their importance. They serve as benchmarks for our achievements, motivating us to strive for success in both our academic and professional lives. 

Traditional Grading Systems

But lately, there's been a growing realization that the traditional grading system might not be cutting it.

In computer science education (CSEd), there's a noticeable shift happening. Educators are moving away from old-school grading methods and embracing new, more inclusive approaches. 

Why? Well, it's all about making computing education accessible, engaging, and inclusive to everyone.

Motivation for Change

So, what's driving this change? It's a mix of factors, really. There's a desire to make learning more accessible and engaging, to reduce dropout rates, and to make well-rounded programmers with a mix of both hard and soft skills.

And let's be honest, the conventional grading model simply falls short in facilitating these goals.

That's where alternative grading methods come in. Let's take a look at three of them: specification grading, contract grading, and ungrading.

Each of these approaches challenges the traditional way of assessing students, shedding light on their benefits for both educators and learners.

Specification and contract grading, lay out clear criteria for success and give students the autonomy to choose assignments that align with their interests and goals. It's all about empowering students to take ownership of their learning journey.

Ungrading prioritizes the learning process over final outcomes. Instead of focusing solely on grades, students focus on self-reflection, skill development, and project-based learning. 

It's about creating a supportive and inclusive classroom environment where experimentation and growth are celebrated.

Overall, the adoption of these alternative grading methods in CSEd is leading to a more engaging, equitable, and effective education system. 

Advantages

By prioritizing mastery, autonomy, and creativity, these approaches are fostering a deeper understanding of concepts and practical skills. 

They're also promoting critical thinking, innovation, and inclusivity, catering to diverse learning styles and needs, while saving you time with grading!

So, if you're an educator, why not give these alternative methodologies a try? 

By prioritizing motivation and reducing stress among students, you might just discover a renewed focus on the essence of education—fostering growth, curiosity, and lifelong learning. 

After all, grades are just one small part of a much richer educational experience.

Want more tips for reducing time spent on grading?

References 

Brian Harrington, Abdalaziz Galal, Rohita Nalluri, Faiza Nasiha, and Anagha Vadarevu. 2024. Specifications and Contract Grading in Computer Science Education. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2024).

Gillian Smith. 2024. Pairing Ungrading with Project-Based Learning in CS1 for Inherently Flexible Course Design. . In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2024).

Continue reading

Best Practices for Rubric Design in Coding Assignments

Discover best practices for rubric design in coding education. Learn to align rubrics with learning objectives, use automated tests, and explore ungrading for fairer, growth-focused assessments

Watch now! How to teach Python

Watch our 2024 webinar for updates on the Introductory Python course, including new modules, knowledge checks, and grading automation with CodeGrade.

Follow A New User!

See how CodeGrade streamlines grading and improves assignment design in programming courses.

How to configure an AI Assistant for code

CodeGrade’s AI Assistant offers a flexible way to support coding education through tailored guidance and feedback. This guide explains how to configure and customize the assistant to fit your teaching goals, from helping students debug code to providing conceptual explanations.

Sign up to our newsletter

Transform your Jupyter Notebooks course today!