Automatic Generation of Technical-Style Notes from Live Lecture

摘要

With student persistence and retention being a cascading issue within higher education (particularly in Computer Science and Engineering), developing processes and tools to help students overcome the challenges of systemized learning becomes an academic necessity. The authors contend that if an information translation apparatus was in existence that could generate individual learning data formats, students will have another tool to understand and apply information that was delivered in a fashion un-natural to their personal learning processes. Survey data has revealed that in many situations students spend mental effort trying to record, via note-taking, exactly the words being used by the instructor instead of the synergy and application of the content. Voice recognition software (voice-to-text) is the vehicle by which data is digitally recorded for format manipulation between a marriage of human learning and technology. The research-tested Interactive Learning Model is the foundation of the learning systems component of this project and an innovative algorithmic development was utilized to manifest specific data formats consistent with technical learning processes.