A Circle-Geocaching Game Based on Classified Specimens

Abstract

This paper describes a CIRCLE-Geocaching extensible system played for the purpose of rehearsal learning. The system operates over a classification tree built by an instructor or a group of students engaged in classification, identification and learning of real world objects. Geocaching involves gathering specimens, naming specimens, recording GPS coordinates, and performing experiments on each specimen. It is assumed that student motivation is increased, as it is an outdoor activity to locate specimens using coordinates, allowing students to learn about features during game play. Implementation of this game draws on the Model, View and Template architecture (MVT). Client software is a series of web-based interfaces to complete each task, and supports formal interaction between instructor and students through faculty and student accounts. Data pertinent to project is stored on CIRCLE server, an NDSU Linux platform. Project Data is served through a series of messages implemented using the JavaScript Object Notation (JSON).