short-paper

Semi-Automatic Generation of Intelligent Curricula to Facilitate Learning Analytics

Authors:

Xavier OchoaAuthors Info & Claims

LAK19: Proceedings of the 9th International Conference on Learning Analytics & Knowledge

Pages 46 - 50

https://doi.org/10.1145/3303772.3303834

Published: 04 March 2019 Publication History

Abstract

Several Learning Analytics applications are limited by the cost of generating a computer understandable description of the course domain, what is called an Intelligent Curriculum. The following work contributes a novel approach to (semi-)automatically generate Intelligent Curriculum through ontologies extracted from existing learning materials such as digital books or web content. Through a series of natural language processing steps, the semi-structured information present in existing content is transformed into a concept-graph. This work also evaluates the proposed methodology by applying it to learning content for two different courses and measuring the quality of the extracted ontologies against manually generated ones. The results obtained suggest that the technique can be readily used to provide domain information to other Learning Analytics tools.

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Cited By

Piriyapongpipat PGoldin SDitcharoen N(2024)An alternative approach to ontology-based curriculum development in higher educationSmart Learning Environments10.1186/s40561-024-00307-811:1Online publication date: 15-May-2024
https://doi.org/10.1186/s40561-024-00307-8
Mandic M(2022)Semantic web based platform for the harmonization of teacher education curriculaComputer Science and Information Systems10.2298/CSIS210207050M19:1(229-250)Online publication date: 2022
https://doi.org/10.2298/CSIS210207050M
Pazmiño-Maji RConde MGarcía-Peñalvo F(2021)Learning analytics in Ecuador: a systematic review supported by statistical implicative analysisUniversal Access in the Information Society10.1007/s10209-020-00773-0Online publication date: 3-Jan-2021
https://doi.org/10.1007/s10209-020-00773-0

Index Terms

Semi-Automatic Generation of Intelligent Curricula to Facilitate Learning Analytics
1. Applied computing
  1. Education
    1. Computer-assisted instruction
2. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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Published In

cover image ACM Other conferences

LAK19: Proceedings of the 9th International Conference on Learning Analytics & Knowledge

March 2019

565 pages

ISBN:9781450362566

DOI:10.1145/3303772

General Chairs:
Sharon Hsiao
Arizona State University, USA
,
Jim Cunningham
Arizona State University, USA
,
Katie McCarthy
Georgia State University, USA
,
Grace Lynch
Society for Learning Analytics Research, Australia
,
Program Chairs:
Christopher Brooks
University of Michigan, USA
,
Rebecca Ferguson
The Open University, UK
,
Ulrich Hoppe
University of Duisburg-Essen, Germany

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SoLAR: The Society for Learning Analytics Research
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 March 2019

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LAK19

LAK19: The 9th International Learning Analytics & Knowledge Conference

March 4 - 8, 2019

AZ, Tempe, USA

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Cited By

Piriyapongpipat PGoldin SDitcharoen N(2024)An alternative approach to ontology-based curriculum development in higher educationSmart Learning Environments10.1186/s40561-024-00307-811:1Online publication date: 15-May-2024
https://doi.org/10.1186/s40561-024-00307-8
Mandic M(2022)Semantic web based platform for the harmonization of teacher education curriculaComputer Science and Information Systems10.2298/CSIS210207050M19:1(229-250)Online publication date: 2022
https://doi.org/10.2298/CSIS210207050M
Pazmiño-Maji RConde MGarcía-Peñalvo F(2021)Learning analytics in Ecuador: a systematic review supported by statistical implicative analysisUniversal Access in the Information Society10.1007/s10209-020-00773-0Online publication date: 3-Jan-2021
https://doi.org/10.1007/s10209-020-00773-0

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