Nina Schneider

Carl von Ossietzky Universität Oldenburg

Papers

Total Citations

H-Index

About

Nina Schneider is a researcher in computer science education whose work centers on how learners conceptualize and classify digital technologies. Her most-cited study, “How Pupils Classify Digital Artifacts” (2017, 3 citations), addresses a critical gap in the field: the everyday understandings that pupils bring to the classroom are rarely integrated into curriculum design. Schneider argues that students develop rich, often unexamined mental models of computers, smartphones, and the Internet through daily use, and that these preconceptions are essential for effective computer science instruction. By foregrounding learner perspectives, her research challenges educators to move beyond technical definitions and instead build on students’ lived experiences. Though her citation count is modest, Schneider’s work is notable for its focus on the learner’s voice in a discipline often dominated by technical content. Her contributions offer a valuable foundation for designing more inclusive and responsive computer science curricula, making her a thoughtful voice in the ongoing effort to bridge everyday digital practice and formal education.