Automatic generation of technical-style notes from live lecture

Adrian Rusu, Gary Dainton, Kevin Dahm, James Metting

Research output: Contribution to journalConference articlepeer-review

Abstract

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

Original languageEnglish (US)
Article number4720547
Pages (from-to)S3B3-S3B8
JournalProceedings - Frontiers in Education Conference, FIE
DOIs
StatePublished - 2008
Event38th ASEE/IEEE Frontiers in Education Conference, FIE 2008 - Saratoga Springs, NY, United States
Duration: Oct 22 2008Oct 25 2008

All Science Journal Classification (ASJC) codes

  • Software
  • Education
  • Computer Science Applications

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