PIPages
Labs

Sidney D'Mello

University of Colorado Boulder, CO·Education Research

Teachers rarely receive detailed, timely feedback on how they teach. What they do get is often infrequent, subjective, and tied to evaluation.

Fields

Education Research

Computer Science

Psychology

Topics

teacher professional learning

automated feedback

formative feedback

Grants
1 known grant, through Oct 2027

What they work on

  1. Co-design and iteratively refine automated feedback interfaces for English and language arts teachers with a diverse teacher panel, in partnership with TeachFX, a provider of technology-enabled instructional feedback.
  2. Build and improve the computational models behind the feedback using TeachFX observations from about 5,000 educators, testing whether they are accurate, unbiased across teacher groups, generalizable, and interpretable.
  3. Test whether non-evaluative feedback, which withholds judgment and offers teachers choice, drives more professional learning than evaluative feedback, in a longitudinal experiment with 300 teachers.
  4. Measure teacher responsiveness to automated feedback with observational and survey-based measures, and relate it to teacher empowerment and student achievement outcomes.

More about the research

A core question is whether professionals learn more from feedback that judges their performance or from feedback that simply shows them what happened and lets them decide what to work on. This project tests that question with middle- and high-school English and language arts (ELA) teachers, a setting where weak and unequal literacy outcomes remain a persistent problem in the U.S.

Why it matters

Automated classroom feedback could give every teacher frequent, specific information about their own instruction instead of occasional subjective evaluations. If non-evaluative feedback proves more effective, schools and education technology developers could design tools that genuinely change teaching practice, which may help improve literacy outcomes for middle- and high-school students.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-enabled Formative Feedback for Job-Embedded Learning

NSF · Nov 2023 – Oct 2027

Closest labs

Fred Martin

University of Texas at San Antonio, TX·Education Research

Document current understandings, policies and practices for using and teaching AI literacy in partner middle school districts in Texas and New York, working with teachers and technology coaches.

Diane Litman

University of Pittsburgh, PA·Computer Science

Design and refine adaptive prompts, motivational nudges and automated reflection summaries in CourseMIRROR, a mobile reflection app, through iterative usability and feasibility testing.

Karen Hollebrands

North Carolina State University, NC·Education Research

Create online modules with high-demand geometry tasks, video cases and grades 6–12 student work that prepare future teachers to lead productive discussions using web-based dynamic geometry tools.

The school

University of Colorado Boulder: 36 labs on PI Pages, $718M a year on research, 447 research doctorates a year.

More about University of Colorado Boulder

Reach out

A start for your email. Fill in the brackets.