Education researchers from the American Institutes for Research (AIR) are presenting new findings on AI education, computer science learning, and technology-enhanced instruction at the 2026 American Educational Research Association (AERA) Annual Meeting in Los Angeles, April 8-12. The conference brings together thousands of scholars, practitioners, and policymakers to share evidence on pressing education issues, with AIR experts contributing research across multiple critical areas including AI education, teacher workforce development, and digital learning effectiveness .

What Are Researchers Actually Finding About Digital Learning in K-12?

One of the most significant findings emerging from AIR's research portfolio involves the effectiveness of standalone digital learning programs. According to research being presented at the conference, digital learning programs are outperforming traditional classroom instruction in PreK-12 math and science. This conclusion comes from a systematic review and meta-analysis, a rigorous research method that combines findings from multiple studies to identify broader patterns .

The research being presented spans several interconnected areas that paint a picture of how education is evolving. Beyond digital learning effectiveness, AIR experts are examining teacher workforce challenges, school-based mental health initiatives, dual language learning support, and the emerging landscape of computer science and artificial intelligence education . This breadth reflects how AI and technology are reshaping multiple dimensions of the education system simultaneously.

How Are Schools Preparing Teachers for an AI-Driven Education System?

Teacher preparation and workforce development emerge as central concerns in the research being presented. AIR experts are contributing to conversations about teacher apprenticeship models, special education teacher composition and distribution across states, and the stability of the teaching workforce. One presentation focuses specifically on centering a culture of care in teacher residency programs, suggesting that how teachers are trained matters as much as what they're trained to do .

The special education teacher workforce receives particular attention, with researchers examining composition, distribution, and stability across seven states. This focus reflects growing recognition that technology adoption in schools cannot succeed without addressing fundamental workforce challenges. Teachers need support, training, and sustainable working conditions to effectively integrate new tools into their practice.

Steps Schools Can Take to Implement Technology-Enhanced Learning Effectively

• Invest in Teacher Training and Support: Rather than deploying technology without preparation, schools should prioritize comprehensive professional development that helps teachers understand how digital tools work and how to integrate them meaningfully into instruction.
• Conduct Evidence-Based Pilot Programs: Before district-wide adoption, schools should test digital learning approaches with specific student populations to understand what works in their unique context, measuring outcomes carefully.
• Address Workforce Stability and Culture: Schools must create sustainable working conditions for teachers and foster a culture of care in professional development programs, recognizing that teacher wellbeing directly impacts implementation success.
• Support Dual Language and Special Education Populations: Technology implementation should include specific strategies for supporting English language learners and students with disabilities, ensuring equitable access to digital learning benefits.
• Measure and Monitor Implementation: Schools should establish clear metrics for tracking how technology affects student outcomes, using data collection methods that capture both quantitative results and qualitative insights from educators.

The research being presented at AERA also addresses equity and access concerns. One presentation examines how special education funding caps affect student identification and equity in Washington State, while another looks at the impact of academic acceleration policies on student enrollment in advanced courses. These studies suggest that technology and AI education cannot be separated from broader questions about educational equity and resource distribution .

AIR's participation as a platinum conference sponsor, including a dedicated booth and networking reception, underscores the organization's commitment to advancing evidence-based education practice. The breadth of research topics reflects how interconnected modern education challenges have become. Teacher workforce issues, mental health support, language learning, special education, and technology adoption are not separate problems; they're interwoven aspects of a complex system that researchers are working to understand more deeply .

The timing of these presentations matters. As schools continue experimenting with AI tutoring systems, digital learning platforms, and computer science curricula, having rigorous research on what actually works becomes increasingly valuable. The meta-analysis showing digital learning programs outperforming traditional instruction provides concrete evidence that can guide district decisions. Similarly, research on teacher preparation and workforce stability offers practical insights for leaders trying to implement technology sustainably.

For educators and administrators watching the AI education landscape, these research presentations signal an important shift. The focus is moving beyond hype about what AI could do in classrooms toward evidence about what actually improves student outcomes. The research being presented addresses real implementation challenges, workforce concerns, and equity questions that schools face daily. This grounding in evidence and practical reality may ultimately matter more than any individual technology tool.