At SIGCSE 2026, the paper “A Call for Critical Technology to Enable Innovative and Alternative Grading Practices” outlined an urgent need: if we want equitable, competency-based, and outcomes-oriented grading practices to scale, our education technology infrastructure must evolve.
We agree. Wholeheartedly!
In fact, while this paper was being written, we were building TeachFront.
Between the paper’s initial submission and its publication, TeachFront entered beta, and then graduated from it. The capabilities the authors describe as necessary for innovative and alternative grading practices are the systems we’ve been prototyping, testing, and deploying.
This is not coincidence. It’s alignment.
Below, we reflect on the authors’ core arguments, the current state of LMS platforms, and why evolving the LTI standard is critical to the future of alternative grading.
What “A Call for Critical Technology to Enable Innovative and Alternative Grading Practices” Argues
Decker, Edwards, Edmison, Pérez-Quiñones, and Rorrer identify three major technological gaps:
- Comprehensive support for categorical grading
- Robust resubmission and iterative reassessment workflows
- Improved interoperability protocols beyond single numeric grade exchange
Their central claim is that today’s educational infrastructure — especially learning management systems (LMS platforms) and interoperability standards — is still architected around percentage-based, weighted-average grading.
That architecture shapes behavior.
Even when educators adopt competency-based or objective-based grading models, the underlying systems often require:
- Aggregation into percentages
- Weighted category structures
- A final numeric grade export
The authors argue that if we want grading reform to succeed, the technology itself must evolve.
What LMS Platforms Already Support — and Their Limits
In “A Call for Critical Technology to Enable Innovative and Alternative Grading Practices,” the authors write:
“Everything, including learning management systems, gradebooks, online practice tools, and automated grading tools, are built to facilitate the traditional approach.”
But the landscape is more nuanced than that.
It’s important to recognize that LMS platforms have made meaningful progress in supporting alternative grading practices.
For example:
- Canvas includes Learning Mastery Gradebook and outcomes tracking.
- Moodle supports competencies and standards-based grading models.
- Brightspace offers outcomes-aligned evaluation structures.
These are not insignificant developments. They represent genuine movement toward supporting competency-based and objective-driven assessment within institutional systems.
The challenge, however, is that these capabilities are often implemented partially within infrastructures that remain percentage-first at their core. Even when outcomes are tracked, they frequently operate alongside — rather than replacing — arithmetic aggregation.
This creates structural gravity. The underlying data model pulls assessment back toward points, averages, and scalar reporting.
At the same time, platforms such as TeachFront serve as counterexamples to the idea that all tools are architected solely to facilitate the traditional approach. Prior to the publication of this paper, TeachFront was already serving students with objective-first assessment, native categorical evaluation, and iterative reassessment structures decoupled from percentage aggregation.
The ecosystem of educational technology is not entirely devoid of alternative grading support. Innovation is happening. Partial support exists inside major LMS platforms. Purpose-built systems are emerging.
And yet, even with this progress, a deeper constraint remains.
The Real Constraint: Interoperability and the LTI Standard
Most educational tools do not operate in isolation.
Textbook publishers, autograders, coding practice systems, and interactive learning platforms connect to LMS gradebooks through the LTI (Learning Tools Interoperability) standard.
LTI is the protocol that governs how tools exchange roster data and grades. It’s like the contract describing what can be communicated and what those messages should look like.
Under current LTI Assignment and Grade Services specifications, grade exchange from one system to another requires two values:
- scoreGiven (points earned)
- scoreMaximum (points possible)
Every educational tool that communicates grades over LTI must ultimately represent performance as points earned out of points possible.
That requirement shapes design.
Even when a tool is built around:
- Course objectives
- Proficiency levels
- Growth over time
- Revision-based assessment
It must collapse that model into points to interoperate.
This does not just influence gradebooks.
It affects textbook platforms, practice systems, and learning tools that meaningfully support student development. They are structurally required to translate richer feedback models into arithmetic representations when utilizing LTI grade passback.
The issue is not simply percentages.
It is that the interoperability layer encodes arithmetic accumulation as the default representation of learning.
That design decision has ethical implications.
Points-based reporting tends to frame learning in terms of deficit — what was lost — rather than competencies demonstrated.
If alternative grading practices are to scale, the protocol layer itself must evolve.
Standards should not dictate pedagogy.
They should enable it.
The Future of the LTI Standard
The authors of “A Call for Critical Technology to Enable Innovative and Alternative Grading Practices” argue that if alternative grading practices are to scale across institutions, the LTI standard must evolve.
Possible directions include:
- Structured, multi-field grade exchange
- Native categorical performance reporting
- Objective-level data transmission
- Iterative performance history support
- Backward-compatible reporting pathways
We believe interoperability should support pedagogy — not constrain it.
And we are eager to participate in conversations with researchers, LMS vendors, and standards bodies about what the next generation of LTI could look like.
How TeachFront Aligns — and Where We Differ Architecturally
TeachFront was built specifically to address the friction identified in the paper.
Key distinctions:
Objective-Level Architecture First - Objectives are primary data structures, not secondary tags layered onto percentage assignments.
Categorical Evaluation as a Native Model - Performance levels are modeled categorically from the start, not derived from numeric cutoffs.
Iterative Reassessment Built Into the System - Growth across objectives is tracked structurally over time, reflecting learning as iterative rather than static.
Decoupling Learning From Reporting - TeachFront maintains rich internal objective structures while still communicating required final percentage reports to major LMSs when necessary (because institutions still require it).
Rather than layering alternative grading practices on top of percentage-first infrastructure, TeachFront reorients the model around how learning unfolds.
Why This Matters
Students are not percentages.
Learning is not a weighted average.
Growth does not collapse cleanly into a single numeric slot.
If we want equitable, competency-based, and objective-driven grading models to thrive at scale, we must modernize the infrastructure beneath our classrooms.
“A Call for Critical Technology to Enable Innovative and Alternative Grading Practices” makes that case powerfully.
We are excited to build alongside that vision — and to help evolve the standards that will carry it forward.
Because when infrastructure reflects how learning actually works, everyone benefits.
Especially students.
