Spy Code: A Learning Module Linking Nano-tubes Research Experience to
Mohamed Ahmed Abdelrahman, Reza Nekovei, Alexandra Chincarini · 2020
Abstract Spy Code: A Learning Module Linking Nano-tubes Research Experience to Teaching Algebra This paper focuses on presenting the experience of a mathematics teacher participating ina Research Experience for Teachers (RET) program at Texas A&M University Kingsville. Theresearch experience was focused on carbon nano-tubes (CNTs) as suitable replacement oftransistors. As transistors, they would be smaller, faster, less resistant, and cheaper tomanufacture than anything currently in use. The greatest problem with studying CNTs andproducing new electronics with CNTs as the chief component has been their size. Littleexperimental research has been conducted on actual CNTs to measure their output currents whenvoltages are applied to them. This research focused on collecting and presenting data on theelectrical properties of bundles of CNTs, particularly in regards to how CNTs respond to thepresence or absence of light. Finding a link between this research experiences based on sophisticated equipment andadvanced electronics and teaching algebra has been a challenge. The paper describes a learningmodule that is based on simplified models of CNT. It challenges the students to use simpleelectronic circuits to design and implement secret codes of blinking lights. The modules arebased on the concept of legacy cycles. It covers various topics in algebra including graphinglines, finding relations and solving equations and manipulations of monomials.