Systematic Review on Inclusive Education, Sustainability in Engineering: An Analysis with Mixed Methods and Data Mining Techniques

Abstract

In the last few years, research in the field of sustainability has experienced a significant increase in interest between sustainability and other areas (inclusive education, active methodologies, and society). Moreover, the use of mixed research methods (quantitative and qualitative) along with the application of data mining techniques, enables the analysis of information and the connection between the different studies. The objectives of this paper were: (1) To establish the results of the research related to the concepts of sustainability, inclusive education, and disability. (2) To study the key concepts that are detected in the articles selected with respect to the concepts of sustainability, inclusive education, disability, and their relations. In order to do so, two studies were carried out (quantitative and qualitative). In the first study, K-means and heat map clustering techniques were applied. In the second study, the technique of text mining was applied. One hundred and thirty-three scientific papers were studied, of which 54 fulfilled all the inclusion criteria. Three clusters were found in the first study; cluster 1 included the categories: inclusive society, educational innovation, and active methodologies. Cluster 2 included active methodologies and society and economy and cluster 3 included inclusive society and society and economy. In the second study, the highest Krippendorff’s Alpha coefficient were found in articles that linked sustainability with social transformation stemming from a change in education by means of the use of active teaching methods and technological resources. The research moves towards the development of competencies in sustainability at all stages of the educational system, and in all areas of knowledge.

A Systematic Review of the Use of T-Pattern and T-String Analysis (TPA) With Theme: An Analysis Using Mixed Methods and Data Mining Techniques

“…Finally, we would like to emphasize that applying a mixed methodology to a systematic review study allowed us to analyze the state of the art in the chosen topic, providing a great deal of quantitative and qualitative information that may be very useful to future researchers from various research perspectives (Sáiz-Manzanares et al, 2020).…”

“…Mixed research methods were used for the analysis, applying data mining and text mining techniques. This systematic review methodology allows for an analysis which can adapt to different focuses of research interest (Sáiz-Manzanares et al, 2020).…”

Using Advanced Learning Technologies with University Students: An Analysis with Machine Learning Techniques

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Sustainable Management and Policies: The Roles of Stakeholders in the Practice of Inclusive Education in Digital Transformation

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