Rubric-based assessment
Evaluates submissions against rubrics and uses confidence-based grading to direct instructor attention to students that need it most.
Sense é uma plataforma de avaliação e feedback com IA para o ensino superior, integrada aos fluxos de trabalho de LMS ou IDE.
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.
Evaluates submissions against rubrics and uses confidence-based grading to direct instructor attention to students that need it most.
Groups learner submissions into solution archetypes so educators can review patterns rather than grading every response individually.
Provides specific feedback to each group, aiming to give learners a substantive and timely assessment of their work.
Offers 24/7 guidance on learning patterns and common errors through the platform’s tutoring workflow.
Surfaces insights on content and instruction efficacy so instructors can see where understanding breaks down and where teaching can be improved.
Integrates with LMS platforms as an LTI component and can also connect to IDEs used in computer science courses.
Use Sense to review open-ended work where students may reach correct answers through different approaches, such as coding, engineering, or business analysis.
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.
Use the tutoring and feedback workflow to give students timely guidance on recurring mistakes and learning gaps between instructor review cycles.
Adopt the analytics view when instructors want to understand where students struggle and which parts of the course content may need revision.
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.
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.
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.
Yes. The source says onboarding includes a 1–2 term free trial, depending on the course type and adoption speed.
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.
Sense is positioned for open-ended assignments with clear success criteria, including computer science coding, business case studies, engineering problems, and text-based submissions.
Os dados de tráfego são apenas para referência.
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