Automatic extraction of core learning goals and generation of pedagogical sequences through a collection of digital library resources

Ifeyinwa Okoye, Tamara Sumner, Steven Bethard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

A key challenge facing educational technology researchers is how to provide structure and guidance when learners use unstructured and open tools such as digital libraries for their own learning. This work attempts to use computational methods to identify that structure in a domain independent way and support learners as they navigate and interpret the information they find. This article highlights a computational methodology for generating a pedagogical sequence through core learning goals extracted from a collection of resources which in this case, are resources from the Digital Library for Earth System Education (DLESE). This article describes how we use the technique of multi-document summarization to extract the core learning goals from the digital library resources and how we create a supervised classifier that performs a pair-wise classification of the core learning goals; the judgments from these classifications are used to automatically generate pedagogical sequences. Results show that we can extract good core learning goals and make pair-wise classifications that are up to 76% similar to the pair-wise classifications generated from pedagogical sequences created by two science education experts. Thus we can dynamically generate pedagogically meaningful learning paths through digital library resources.

Original languageEnglish (US)
Title of host publicationJCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries
Pages67-76
Number of pages10
DOIs
StatePublished - 2013
Externally publishedYes
Event13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013 - Indianapolis, IN, United States
Duration: Jul 22 2013Jul 26 2013

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996

Conference

Conference13th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL 2013
Country/TerritoryUnited States
CityIndianapolis, IN
Period7/22/137/26/13

Keywords

  • Core learning goal
  • Digital libraries
  • Learning pathway
  • Learning trajectory
  • Machine learning
  • Pedagogical sequence

ASJC Scopus subject areas

  • General Engineering

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