Advancing Quantum Information Science Pre-College Education: The Case for Learning Sciences Collaboration

2025-08-01

AI Summary

This study addresses the challenge of introducing quantum information science (QIS) to adolescents—namely, the abstractness of QIS concepts, their disconnect from conventional STEM experiences, and the absence of age-appropriate pedagogical theories and implementation pathways. Employing design-based research (DBR), it integrates learning sciences theory with STEM education practice to develop a theory-driven instructional environment centered on “representational transformation,” systematically scaffolding learners’ cognitive shift from classical intuition to quantum reasoning. Innovatively, it establishes a bidirectional collaboration framework between QIS and learning sciences, empirically demonstrating the substantive contribution of learning sciences to quantum education design. The project yields a scalable, transferable pre-university QIS education framework, providing both theoretical foundations and empirically grounded implementation models for early-stage quantum talent development worldwide.

Technology Category

• Machine Learning: Quantum Machine Learning
• Knowledge Representation and Reasoning: Qualitative Reasoning
• Search and Optimization: Learning to Search

Application Category

• Search and Retrieval-Augmented AI: Web learning to rank, online learning, and counterfactual learning for ranking
• Economics, Online Markets and Human Computation: Economic aspects and information design of Web, GenAI, and cloud computing
• Security and Privacy: Data transparency and provenance

Abstract

As quantum information science advances and the need for pre-college engagement grows, a critical question remains: How can young learners be prepared to participate in a field so radically different from what they have encountered before? This paper argues that meeting this challenge will require strong interdisciplinary collaboration with the Learning Sciences (LS), a field dedicated to understanding how people learn and designing theory-guided environments to support learning. Drawing on lessons from previous STEM education efforts, we discuss two key contributions of the learning sciences to quantum information science (QIS) education. The first is design-based research, the signature methodology of learning sciences, which can inform the development, refinement, and scaling of effective QIS learning experiences. The second is a framework for reshaping how learners reason about, learn and participate in QIS practices through shifts in knowledge representations that provide new forms of engagement and associated learning. We call for a two-way partnership between quantum information science and the learning sciences, one that not only supports learning in quantum concepts and practices but also improves our understanding of how to teach and support learning in highly complex domains. We also consider potential questions involved in bridging these disciplinary communities and argue that the theoretical and practical benefits justify the effort.

Problem

• How to prepare young learners for quantum information science
• Interdisciplinary collaboration needed with Learning Sciences
• Design-based research for effective QIS learning experiences

Innovation

• Interdisciplinary collaboration with Learning Sciences
• Design-based research for QIS education
• Framework reshaping QIS learning representations