Más que un calificador de ensayos con IA

A diferencia de los evaluadores con IA tradicionales, que solo analizan texto o se enfocan en ensayos, TimelyGrader también puede evaluar elementos visuales dentro de las actividades. Esto le permite adaptarse a una mayor variedad de formatos, como presentaciones, videos y hojas de cálculo. Entendemos todo el proceso de evaluación.

Hugo icon

Hello, I'm Hugo!

Scroll

Hugo is not agentic.

We could have made Hugo agentic. Feed him the rubric and submissions, let him give you final grades and feedback. We decided early on that was not the intent for Hugo, partly because...

When we spoke with our first ten institutional partners, eight of them were strongly against making Hugo agentic, especially for assessment. Faculty and admins told us that they wanted AI that helped them, not make decisions on their behalf.

"In the early days of planning and working with our institutional partners, we decided to not make Hugo agentic, meaning that he will help but he won't do it for you."

Presentaciones

Analizar presentaciones visuales

Two powerpoint slides with a TimelyGrader grading suggestion and justification associated with them.
Informes con elementos visuales

Más allá de los calificadores automáticos de siempre

A marketing plan with a Porter's Five Forces embedded in the document. There is a TimelyGrader pop-up with a suggested grade, and justification for why that grade was suggested.
Hojas de cálculo de Excel

Evalúa datos estructurados

An excel worksheet with a pop-up showing TimelyGrader's grading suggestion and the justification for why it suggested the grade that it did.

Actividades modulares

Preview of different types of question that can be added to modular assignments including: Multiple choice, true or false, short answer, and long answer.

On Data and Training for Hugo...

Diagram showing Hugo using rubrics, assignment context, and student submissions without using institutional data for AI training

When your department chair or IT asks "does this tool learn from our students' work?", the answer is no.

Most AI tools learn from how you use them. Hugo does not work that way.

Hugo uses assignment context, your rubric, the student submission, to help you grade better and provide better feedback in the moment. That context is not used to train any model. Your institution's grading data stays on your dedicated TimelyGrader instance and does not feed back into Hugo's underlying intelligence.

Hugo helping an instructor understand grading criteria and improve rubric consistency in TimelyGrader

Hugo Help You Learn!

What Hugo does instead is try to make you better at using the platform. If you are unsure how a criterion applies to an edge case, Hugo explains the reasoning. If your rubric is producing inconsistent results, Hugo helps you diagnose why. The goal is a more confident, more consistent instructor and instruction going to the AI, not a smarter AI.

See Hugo In Action

Regístrate en TimelyGrader hoy o descubre cómo funciona

Book a demo and we will tailor the session to your institution's use case, whether that is large lecture courses, writing-intensive seminars, or STEM assessment.