Updated March, 2025

LessonLoop’s Commitment to Inclusion and Affirmation

LessonLoop values inclusion and affirmation of individuals as foundational principles that guarantee that the company seeks varied perspectives, with representation across the company’s business activities.

LessonLoop is a female-founded and ethnically-diverse team. We see the diversity of life perspectives and decision-making autonomy as central to our core values.

LessonLoop’s founding team includes members from across a range of socio-economic backgrounds including former teachers, school administrators, programmers, corporate consultants, entrepreneurs, and a myriad of other professional perspectives. The economic diversity of our team gives us deeper insight into our users’ needs and experiences which ensures we keep them at the center of our work. 

LessonLoop’s commitment to creating space for student voice is a value that extends across our company’s values and work streams. Through distributed leadership, cross department collaboration, user insights, and expert review of our programs, LessonLoop is developing a deep understanding of the diverse needs of our educators and their students which enhances our ability to meet their learning needs in the marketplace.

LessonLoop Transparency Statement in Platform Design, Development, and Usage to Minimize Bias

LessonLoop is dedicated to minimizing bias in our platform’s design, usage, and mission. By amplifying student voices, we empower teachers to personalize instruction more effectively, ensuring more inclusive, affirming, and engaging learning experiences. Our platform incorporates anonymous student surveys and a knowledge base of instructional strategies, with training data and algorithms designed specifically to reduce bias. We test and refine our surveys across diverse student populations and analyze data on race, ethnicity, gender, and socioeconomic factors to better understand engagement patterns and promote engaging learning experiences for all students.

LessonLoop provides teachers of any subject in grades 3-12 a professional learning tool to support more engaging and effective instruction personalized to the needs of their current students.

Educators use LessonLoop to:

1. Gather actionable learner engagement insights from anonymous student voice surveys
2. Receive proven instructional strategies based on aggregated survey data, and 
3. Generate engaging lesson activities and ideas customized for their next class lesson and students by using our GenAI Activity Generator

At all times, LessonLoop system outputs are used only for the purpose of providing educators with data-driven professional learning and to save them time generating engaging instructional ideas for their next lesson. LessonLoop is used at the discretion of the teacher and is not intended to be used for any individual or educator graded assessment or accountability purposes. 

LessonLoop survey data are based on anonymous, self-reported opinions and experiences from students representative of the school population. The choice to make all surveys anonymous is a core element of our effort to minimize bias. Some implicit biases may influence how educators receive feedback from their students, and some students may not feel safe to give honest feedback to their teachers.  LessonLoop requires all survey results be reported anonymously, and then aggregates the data so that we are able to minimize the impact of attribution and affinity bias which would make it easier for educators to dismiss the feedback simply because of who gave it. Our culturally responsive, research-based strategies were designed to minimize bias with the majority written by Teachers College, whose mission is to improve equity for historically underserved students, and their educators have decades of experience in research and education for students and teachers of all races, genders, and religions. 

LessonLoop has extensively tested the application of our GenAI Activity Generator in the generation of engaging and ideas using a rubric (e.g., prompt accuracy, specificity, grammar, completeness, evidence of bias, efficacy) and testers with lived experience representative of the students we serve. In an effort to minimize algorithmic bias, our tool uses a closed system of Instructional Strategies including thousands of examples written by highly qualified educators with expertise in the field. These curated Instructional Strategies and examples ensure that teachers never interact with an AI Generated Activity without a Human-In-the Loop.  LessonLoop continues to regularly test our product to ensure any bias is flagged, assessed and addressed. LessonLoop asks for user feedback after all AI-generated responses, providing a thumbs up/thumbs down feature, which when clicked on, provides the user a text field to report inaccurate and inappropriate responses. Some activities include additional guidance to increase users’ awareness of bias and the value of cultivating equity mindsets.

Our leadership team regularly reviews system logs for incidents of students who might provide personally identifiable information in our free response questions and for any inaccurate, biased, and inappropriate responses.  All incidences of system generated bias or inaccuracies are reviewed by our product design team to address with additional prompt engineering or user training. LessonLoop will continue to prioritize the provision of a platform that reduces bias with transparent and thorough platform design, development, and testing processes, and through meetings of our LessonLoop AI Team. We are committed to transparency in our development processes and will continue refining our platform to ensure it remains inclusive and affirming of all users.