Automatic Generation of Learning Path

Claudia Perez-Martinez, Gabriel Lopez Morteo, Magally Martinez Reyes, Alexander Gelbukh

2015

Abstract

This paper presents a proposal to automatically generate a learning path. The proposal method apply Natural Language Processing techniques, it uses as knowledge source an ontological view from Wikipedia, taking advantage of its broad domain of concepts. The results has been validated comparing them with the teaching opinion. It is expected that the learning path built can be an useful input to instructional design processes considering them before to know the student profile.

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Paper Citation


in Harvard Style

Perez-Martinez C., Lopez Morteo G., Martinez Reyes M. and Gelbukh A. (2015). Automatic Generation of Learning Path . In Doctoral Consortium - DCAART, (ICAART 2015) ISBN , pages 35-39


in Bibtex Style

@conference{dcaart15,
author={Claudia Perez-Martinez and Gabriel Lopez Morteo and Magally Martinez Reyes and Alexander Gelbukh},
title={Automatic Generation of Learning Path},
booktitle={Doctoral Consortium - DCAART, (ICAART 2015)},
year={2015},
pages={35-39},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}


in EndNote Style

TY - CONF
JO - Doctoral Consortium - DCAART, (ICAART 2015)
TI - Automatic Generation of Learning Path
SN -
AU - Perez-Martinez C.
AU - Lopez Morteo G.
AU - Martinez Reyes M.
AU - Gelbukh A.
PY - 2015
SP - 35
EP - 39
DO -