Tanya Christ
Papers
2
Total Citations
2
H-Index
1
About
Tanya Christ’s research sits at the intersection of educational technology, early literacy, and human-robot interaction, with a particular focus on how children learn STEM vocabulary through innovative, socially mediated instruction. Her major contributions include pioneering qualitative investigations into young learners’ perceptions of educational social robots, revealing that children as young as third grade view robot teachers as more engaging and less intimidating than human instructors—a finding that challenges conventional assumptions about technology in the classroom. In her 2024 study with 20 grade 3–5 students, she demonstrated that children’s enthusiasm for robot-led vocabulary lessons could reshape pedagogical design. Her work on task-level contingent mediations further advances the field by systematically comparing how human, virtual, and robot teachers adapt their instructional support in real time, showing that robots can effectively mimic high-quality teaching practices. Although her most-cited papers currently have 1 citation each, their recency and novelty signal growing influence. Christ’s research is notable for centering children’s voices through semi-structured interviews, offering a rare, child-driven perspective on AI in education. Her findings provide actionable insights for designing more responsive, engaging STEM learning environments.
Research Focus
Key Achievements
Top Papers
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