Multidimensional evaluation of teaching strategies adopted in the COVID-19 pandemic

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Title: Multidimensional evaluation of teaching strategies adopted in the COVID-19 pandemic
Authors: Molina-Carmona, Rafael | Guillem Aldave, Carlos
Research Group/s: Grupo de Investigación en Tecnologías Inteligentes para el Aprendizaje (Smart Learning)
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Teaching strategy | Sustainability | Usability | Accessibility | Evaluation model | Multidimensional evaluation
Issue Date: 9-Dec-2022
Publisher: Springer Nature
Citation: Universal Access in the Information Society. 2022.
Abstract: This paper proposes a multidimensional social open model to evaluate the teaching strategies adopted during the COVID-19 pandemic by assessing the decisions made by teachers by a group of teachers acting as evaluators. Based on the analysis of previous studies on teaching, this study aims to propose a formal model for the evaluation of teaching strategies in four dimensions: sustainability, usability, accessibility, and creativity. The use of information technologies to measure teaching strategies can bring decisive advantages. This work has been inspired by social rating systems of social networks to propose a measurement system in which a potential large number of evaluators with different levels assess the strategies. In addition, the proposal also includes the evaluation of the evaluators' own work, assigning confidence levels that are based on their experience but also on their evaluations. In this way, we have a social measurement system, in the sense that participation is open to a large number of evaluators. A large community of teacher evaluators will increase the objectivity of the measurement. The outcome of the system will be a characterization of the teaching strategies that will allow to decide in the future which ones should be adopted according to the needs of each one.
Sponsor: Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
ISSN: 1615-5289 (Print) | 1615-5297 (Online)
DOI: 10.1007/s10209-022-00954-z
Language: eng
Type: info:eu-repo/semantics/article
Rights: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit
Peer Review: si
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Appears in Collections:INV - Smart Learning - Artículos de Revistas

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