Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course

Andres F. Romero-Gomez; Alvaro D. Orjuela-Canon

doi:10.1109/ANDESCON56260.2022.9989686

Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course

Andres F. Romero-Gomez, Alvaro D. Orjuela-Canon

Research output: Chapter in Book/Report › Conference contribution

Abstract

Natural Language Processing (NLP) has been employed in different applications. Learning processes in education are difficult to establish. However, the employment of these new approaches from the Artificial Intelligence (AI) can contribute to support the learning measuring. Identify the knowledge acquired during a course is important to determine the achievement of the objectives and to develop strategies to improve the course. In this paper is presented the employment of NLP tools for determining differences in conceptualization between beginning and ending of processes for a bioinformatics course inside of a biomedical engineering program. Results established that there are differences in the conceptualization of the students in a first sight of the bioinformatics course and the end of academic period.

Original language	English (US)
Title of host publication	2022 IEEE ANDESCON
Subtitle of host publication	Technology and Innovation for Andean Industry, ANDESCON 2022
Editors	Mariela Cerrada Lozada, Paul Sanmartiin Mendoza
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665488549
DOIs	https://doi.org/10.1109/ANDESCON56260.2022.9989686
State	Published - 2022
Event	11th IEEE Conference of the Andean Council, ANDESCON 2022 - Barranquilla, Colombia Duration: Nov 16 2022 → Nov 19 2022

Publication series

Name	2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022

Conference

Conference	11th IEEE Conference of the Andean Council, ANDESCON 2022
Country/Territory	Colombia
City	Barranquilla
Period	11/16/22 → 11/19/22

All Science Journal Classification (ASJC) codes

Computer Science Applications
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering
Instrumentation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ANDESCON56260.2022.9989686

Cite this

Romero-Gomez, A. F., & Orjuela-Canon, A. D. (2022). Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course. In M. C. Lozada, & P. S. Mendoza (Eds.), 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022 (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANDESCON56260.2022.9989686

Romero-Gomez, Andres F. ; Orjuela-Canon, Alvaro D. / Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course. 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. editor / Mariela Cerrada Lozada ; Paul Sanmartiin Mendoza. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022).

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title = "Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course",

abstract = "Natural Language Processing (NLP) has been employed in different applications. Learning processes in education are difficult to establish. However, the employment of these new approaches from the Artificial Intelligence (AI) can contribute to support the learning measuring. Identify the knowledge acquired during a course is important to determine the achievement of the objectives and to develop strategies to improve the course. In this paper is presented the employment of NLP tools for determining differences in conceptualization between beginning and ending of processes for a bioinformatics course inside of a biomedical engineering program. Results established that there are differences in the conceptualization of the students in a first sight of the bioinformatics course and the end of academic period.",

author = "Romero-Gomez, {Andres F.} and Orjuela-Canon, {Alvaro D.}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 11th IEEE Conference of the Andean Council, ANDESCON 2022 ; Conference date: 16-11-2022 Through 19-11-2022",

year = "2022",

doi = "10.1109/ANDESCON56260.2022.9989686",

language = "English (US)",

series = "2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Lozada, {Mariela Cerrada} and Mendoza, {Paul Sanmartiin}",

booktitle = "2022 IEEE ANDESCON",

address = "United States",

}

Romero-Gomez, AF & Orjuela-Canon, AD 2022, Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course. in MC Lozada & PS Mendoza (eds), 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022, Institute of Electrical and Electronics Engineers Inc., 11th IEEE Conference of the Andean Council, ANDESCON 2022, Barranquilla, Colombia, 11/16/22. https://doi.org/10.1109/ANDESCON56260.2022.9989686

Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course. / Romero-Gomez, Andres F.; Orjuela-Canon, Alvaro D.
2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. ed. / Mariela Cerrada Lozada; Paul Sanmartiin Mendoza. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022).

Research output: Chapter in Book/Report › Conference contribution

TY - GEN

T1 - Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course

AU - Romero-Gomez, Andres F.

AU - Orjuela-Canon, Alvaro D.

PY - 2022

Y1 - 2022

N2 - Natural Language Processing (NLP) has been employed in different applications. Learning processes in education are difficult to establish. However, the employment of these new approaches from the Artificial Intelligence (AI) can contribute to support the learning measuring. Identify the knowledge acquired during a course is important to determine the achievement of the objectives and to develop strategies to improve the course. In this paper is presented the employment of NLP tools for determining differences in conceptualization between beginning and ending of processes for a bioinformatics course inside of a biomedical engineering program. Results established that there are differences in the conceptualization of the students in a first sight of the bioinformatics course and the end of academic period.

AB - Natural Language Processing (NLP) has been employed in different applications. Learning processes in education are difficult to establish. However, the employment of these new approaches from the Artificial Intelligence (AI) can contribute to support the learning measuring. Identify the knowledge acquired during a course is important to determine the achievement of the objectives and to develop strategies to improve the course. In this paper is presented the employment of NLP tools for determining differences in conceptualization between beginning and ending of processes for a bioinformatics course inside of a biomedical engineering program. Results established that there are differences in the conceptualization of the students in a first sight of the bioinformatics course and the end of academic period.

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M3 - Conference contribution

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T3 - 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022

BT - 2022 IEEE ANDESCON

A2 - Lozada, Mariela Cerrada

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Y2 - 16 November 2022 through 19 November 2022

ER -

Romero-Gomez AF, Orjuela-Canon AD. Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course. In Lozada MC, Mendoza PS, editors, 2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE ANDESCON: Technology and Innovation for Andean Industry, ANDESCON 2022). doi: 10.1109/ANDESCON56260.2022.9989686

Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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