Bridging the Gap: How Research-Based Classroom Tools Empower Educators

Why Classroom Products Must Ground in Learning Science

Decades of research in the science of learning have uncovered critical insights about how students learn best. Yet, translating these findings into practical classroom tools remains a persistent challenge. To explore solutions, we spoke with Sandra Liu Huang, president of Learning Commons, about the infrastructure needed to bridge this gap and empower educators with evidence-based resources.

Challenges in Translating Research into Classroom Tools

Huang highlighted the disconnect between established learning science and its application in classrooms. While researchers have identified optimal learning conditions and effective instructional strategies, much of this knowledge remains confined to academic journals. Huang explained:

"We actually know a great deal about how learning happens—about the conditions needed for optimal learning and the instructional strategies that work best. The challenge is translating research into tools and materials teachers can use every day."

She noted that research is often incremental, requiring educators to synthesize findings across decades of studies—a task that is impractical for teachers already stretched thin. Huang emphasized the need for resources grounded in learning science that offer flexibility to adapt to each student’s needs.

Making Research Usable for Developers and Educators

At AERDF, the focus is on ensuring research informs the development of practical solutions. This involves not just generating new knowledge but making it actionable. Huang stressed the role of technology, including AI, in helping educators apply research more effectively:

"New technologies, including AI, create opportunities to help educators synthesize research and apply it more coherently for classroom needs. But that only works if AI systems draw upon high-quality data."

She added that tools must align with curriculum, academic standards, and learning science to reflect how students actually learn. This requires a shared infrastructure to establish a baseline for quality across the education sector.

The Role of Shared Infrastructure in Education

Huang pointed out that traditional philanthropic models often prioritize programs with clear, short-term outcomes. In contrast, infrastructure work is slower, collaborative, and its impact extends across the field. She explained:

"Combining grants, partnerships, and technology can help the education sector shape how tools develop. By working with experts in learning science and classroom practice, we can translate their knowledge into useful developer resources that improve the whole sector."

This approach ensures that research reaches far beyond individual projects, ultimately benefiting all students with rigorous, motivating instruction.

Key Takeaways for Educators and Developers

• Shared infrastructure is essential: Collaborative efforts ensure high-quality, research-backed tools are accessible to all educators.
• AI can be a powerful lever: When grounded in learning science and high-quality data, AI can help synthesize and apply research more effectively.
• Flexibility matters: Tools must adapt to diverse student needs while remaining grounded in evidence-based strategies.