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

Producción científica: Capítulo en Libro/Reporte › Contribución a la conferencia

Resumen

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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	2022 IEEE ANDESCON
Subtítulo de la publicación alojada	Technology and Innovation for Andean Industry, ANDESCON 2022
Editores	Mariela Cerrada Lozada, Paul Sanmartiin Mendoza
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665488549
DOI	https://doi.org/10.1109/ANDESCON56260.2022.9989686
Estado	Publicada - 2022
Evento	11th IEEE Conference of the Andean Council, ANDESCON 2022 - Barranquilla, Colombia Duración: nov. 16 2022 → nov. 19 2022

Serie de la publicación

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

Conferencia

Conferencia	11th IEEE Conference of the Andean Council, ANDESCON 2022
País/Territorio	Colombia
Ciudad	Barranquilla
Período	11/16/22 → 11/19/22

Áreas temáticas de ASJC Scopus

Informática aplicada
Ingeniería energética y tecnologías de la energía
Ingeniería eléctrica y electrónica
Ingeniería industrial y de fabricación
Instrumental

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/ANDESCON56260.2022.9989686

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Romero-Gomez, A. F., & Orjuela-Canon, A. D. (2022). Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course. En 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.",

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Romero-Gomez, AF & Orjuela-Canon, AD 2022, Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course. En 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).

Producción científica: Capítulo en Libro/Reporte › Contribución a la conferencia

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

BT - 2022 IEEE ANDESCON

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Romero-Gomez AF, Orjuela-Canon AD. Natural Language Processing Approach for Learning Process Analysis in a Bioinformatics Course. En Lozada MC, Mendoza PS, editores, 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

Resumen

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Conferencia

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