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A Framework to Assist in Didactic Planning at Undergraduate Level

Author

Listed:
  • Daniel Alfredo Hernández-Carrasco

    (Tecnologico Nacional de Mexico, Instituto Tecnológico de Hermosillo, Hermosillo 83170, Mexico
    These authors contributed equally to this work.)

  • César Enrique Rose-Gómez

    (Tecnologico Nacional de Mexico, Instituto Tecnológico de Hermosillo, Hermosillo 83170, Mexico
    These authors contributed equally to this work.)

  • Samuel González-López

    (Tecnologico Nacional de Mexico, Instituto Tecnológico de Nogales, Nogales 84065, Mexico
    These authors contributed equally to this work.)

  • Aurelio López-López

    (Instituto Nacional de Astrofísica, Óptica y Electrónica, Sta María Tonantzintla, Puebla 72840, Mexico
    These authors contributed equally to this work.)

  • Jesús Miguel García-Gorrostieta

    (Department of Computer Science, Universidad de la Sierra, Moctezuma 84560, Mexico
    These authors contributed equally to this work.)

  • Gilberto Borrego

    (Departamento de Computación y Diseño, Instituto Tecnológico de Sonora, Ciudad Obregón 85000, Mexico
    These authors contributed equally to this work.)

Abstract

In the teaching-learning process under the competency-based educational model, the instructor is a facilitator and seeks to generate a flexible and adaptable environment for student learning. One of the first tasks of the facilitator is the structuring of didactic planning. Didactic planning includes strategies for teaching and learning, evidence gathering, and choice of evaluation instruments. In this paper, we propose a framework based on natural language processing techniques with the support of an ontology grounded in the experience of instructors and university level course plans in the information systems area. We employ Bloom’s taxonomy in the ontology design, producing an ascending structure for didactic planning, which allows the student to learn gradually. The developed framework can analyze the key elements that a didactic plan must contain and identify inter-related areas. Evaluation results with Cohen’s kappa coefficient between expert judgement and our framework show that is possible to assist instructors in structuring their didactic planning. Out of the nine processes analyzed with the framework, an almost perfect kappa level was achieved in five processes, a substantial level in three processes, and a moderate level for one process.

Suggested Citation

  • Daniel Alfredo Hernández-Carrasco & César Enrique Rose-Gómez & Samuel González-López & Aurelio López-López & Jesús Miguel García-Gorrostieta & Gilberto Borrego, 2022. "A Framework to Assist in Didactic Planning at Undergraduate Level," Mathematics, MDPI, vol. 10(9), pages 1-21, April.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1355-:d:796769
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    Cited by:

    1. Carmen Lacave & Ana Isabel Molina, 2023. "Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education," Mathematics, MDPI, vol. 11(6), pages 1-4, March.

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