Tikva Ovadiya
Teacher learning presents a unique cognitive challenge: educators must simultaneously develop mathematical expertise and pedagogical knowledge for teaching. This study examines how interactive worked examples function as cognitive tools to support this dual learning process. Using a qualitative, exploratory case-study design, I investigated how 30 in-service mathematics teachers engaged with interactive worked examples of non-routine problems in a professional development setting designed to reduce extraneous cognitive load while promoting germane processing. Drawing on Cognitive Load Theory, expertise development frameworks, and recent perspectives on cognitive offloading and affective engagement in multimedia learning, I analyzed the cognitive and emotional mechanisms underlying teachers' acquisition of both mathematical content knowledge and pedagogical content knowledge. Results from teachers' journals, reflective protocols, and self-assessed cognitive load measurements reveal three key findings: First, teachers experienced analyzing worked examples not as passive observation but as active problem-solving, engaging in self-explanation and schema construction. Second, the interactive format enabled them to discover new mathematical relationships and solution strategies that were previously unavailable to them. Third, and notably, teachers simultaneously developed pedagogical insights-recognizing instructional approaches and anticipating student difficulties-while working through the mathematical content. These findings extend worked example theory by demonstrating that carefully designed interactive examples can support dual-domain learning in professional contexts. By managing cognitive load through scaffolded interactivity, worked examples enable teachers to construct both mathematical and pedagogical schemas concurrently, suggesting a cognitively efficient pathway for teacher professional development. Given the study's exploratory, single-setting design, these mechanisms are offered as a theoretically grounded account to be tested in future comparative research rather than as definitive causal claims.