Jennifer Kidd
Papers
2
Total Citations
4
H-Index
2
About
Jennifer Kidd’s research sits at the vital intersection of teacher education, computational thinking, and STEM integration, with a particular focus on preparing preservice teachers to bring coding and robotics into elementary classrooms. Her work addresses a critical gap: most future elementary educators graduate without any exposure to computer science, despite nationwide mandates to teach it. In her most-cited study, she introduced an interdisciplinary robotics experience co-designed for education and engineering students, demonstrating how collaborative, hands-on learning can build confidence and competence in preservice teachers. When the COVID-19 pandemic shut down schools, Kidd swiftly adapted, documenting in a compelling case study how a preservice teacher and an engineering student successfully mentored a fifth grader in engineering robotic flowers—entirely via Zoom. This work not only showcases her resilience but also provides a scalable model for virtual STEM mentorship. Though her citation counts are modest, her contributions are foundational, shaping how teacher preparation programs integrate computational thinking. Kidd’s research is essential reading for educators and researchers committed to ensuring the next generation of teachers—and their students—are equipped for a technology-driven world.
Research Focus
Key Achievements
Top Papers
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