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Feedback on the Result of Online Learning of University Students of Health Sciences

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Artificial Intelligence in Education Technologies: New Development and Innovative Practices (AIET 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 154))

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Abstract

Faced with the challenge of online teaching-learning, university teachers continued with the responsibility of developing their learning sessions, innovating teaching material and methodology during this process, changing the way of generating learning in health sciences students, through the application of videos, summary readings and practices carried out with family members who acted as patients, in order to achieve the planned competition. The importance of letting students know their achievements in relation to what is evaluated, helps them to understand their way of learning, assess their learning result and self-regulate. This is how feedback motivates the student to rethink their learning strategies. The purpose of this study was to determine the effect of feedback on the online learning outcome of health sciences university students, in a non-experimental research, descriptive-correlational level, with a sample of 294 students. The results obtained showed that feedback in university students of Health Sciences in virtual environments is effective when applied in a timely manner and can be planned, based on the evidence of the learning outcome. To achieve this, they must be previously trained, from the first semesters of study, in feedback literacy, making it part of the self-regulation of their learning.

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Authors and Affiliations

  1. Universidad Nacional San Luis Gonzaga, Ica, Perú

    Carmen Chauca, Ynés Phun-Pat, Maritza Arones & Olga Curro-Urbano

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  1. Carmen Chauca
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  2. Ynés Phun-Pat
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  3. Maritza Arones
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  4. Olga Curro-Urbano
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Corresponding author

Correspondence to Carmen Chauca .

Editor information

Editors and Affiliations

  1. Department of Curriculum and Instruction, The Education University of Hong Kong, Tai Po, Hong Kong

    Eric C. K. Cheng

  2. Swinburne University of Technology, Melbourne, VIC, Australia

    Tianchong Wang

  3. IU International University of Applied Sciences, Erfurt, Germany

    Tim Schlippe

  4. Department of Food Science & Technology, University of Patras, Agrinio, Greece

    Grigorios N. Beligiannis

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chauca, C., Phun-Pat, Y., Arones, M., Curro-Urbano, O. (2023). Feedback on the Result of Online Learning of University Students of Health Sciences. In: Cheng, E.C.K., Wang, T., Schlippe, T., Beligiannis, G.N. (eds) Artificial Intelligence in Education Technologies: New Development and Innovative Practices. AIET 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 154. Springer, Singapore. https://doi.org/10.1007/978-981-19-8040-4_10

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  • DOI: https://doi.org/10.1007/978-981-19-8040-4_10

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  • Online ISBN: 978-981-19-8040-4

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