Sense

Sense is an AI-driven assessment and feedback platform for higher education, helping instructors review open-ended assignments and fit into LMS or IDE workflows.

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Overview

Sense is an AI-driven assessment and feedback platform for higher education. It is designed to help instructors evaluate open-ended work, provide more timely feedback, and maintain pedagogical control as AI changes what and how universities assess.

The product centers on a workflow that collects student submissions, analyzes them into solution patterns, and helps educators respond with targeted feedback. The site positions this approach as a way to support larger classes and reduce the burden of manual grading while keeping assessment aligned with learning goals.

Capabilities

Rubric-based assessment

Evaluates submissions against rubrics and uses confidence-based grading to direct instructor attention to students that need it most.

Submission analysis and clustering

Groups learner submissions into solution archetypes so educators can review patterns rather than grading every response individually.

Grouped feedback delivery

Provides specific feedback to each group, aiming to give learners a substantive and timely assessment of their work.

AI tutoring

Offers 24/7 guidance on learning patterns and common errors through the platform’s tutoring workflow.

Learning analytics

Surfaces insights on content and instruction efficacy so instructors can see where understanding breaks down and where teaching can be improved.

LMS and IDE interoperability

Integrates with LMS platforms as an LTI component and can also connect to IDEs used in computer science courses.

Use cases

Assess complex assignments
Use Sense to review open-ended work where students may reach correct answers through different approaches, such as coding, engineering, or business analysis.
Review large classes more efficiently
Apply the submission clustering workflow when a course produces many similar responses and the instructor needs to focus on representative patterns rather than each individual answer.
Provide feedback at scale
Use the tutoring and feedback workflow to give students timely guidance on recurring mistakes and learning gaps between instructor review cycles.
Identify learning gaps
Adopt the analytics view when instructors want to understand where students struggle and which parts of the course content may need revision.
Fit into existing teaching tools
Connect the platform to an LMS or IDE when the goal is to fit assessment into an existing course workflow without moving students into a separate process.

Pros and Cons

Pros

Supports open-ended assignments that are harder to evaluate with traditional automated grading.
Uses a workflow that groups submissions into archetypes, which can reduce manual review effort for instructors.
Combines assessment, feedback, tutoring, and learning analytics in one platform.
Includes LMS integration through LTI and support for IDE-based workflows in computer science courses.
States that the platform is fully FERPA compliant and uses access controls, encryption, and privacy protocols.

Cons

Pricing details are only described in general terms, so plan structure and exact costs are not published on the source page.
The source does not document a full integration list or broader platform compatibility beyond LMS/LTI and IDE support.
Feature coverage on the site is high-level, so implementation specifics, setup time, and admin controls are not fully described.

FAQ

Can Sense connect to existing learning platforms?

Yes. The source says Sense can be integrated into an LMS as an LTI component via the LTI protocol, and it can also integrate with IDEs used in computer science courses.

How is Sense priced?

The source describes pricing as flexible, including per-submission, per-course, per-learner, and enterprise-style relationships. It also says to contact info[symbol]sense-ed.com for more information.

Does Sense offer a free trial?

Yes. The source says onboarding includes a 1–2 term free trial, depending on the course type and adoption speed.

Is Sense compliant with student privacy requirements?

Sense is described as fully FERPA compliant, with strict access controls, encryption, and privacy protocols. The provided source does not include a separate detailed GDPR statement.

What kinds of assignments does Sense handle?

Sense is positioned for open-ended assignments with clear success criteria, including computer science coding, business case studies, engineering problems, and text-based submissions.