Framework for Interdisciplinary Research between Engineering and Behavioral Sciences
Saved in:
| Title: | Framework for Interdisciplinary Research between Engineering and Behavioral Sciences |
|---|---|
| Language: | English |
| Authors: | Verónica Fernanda Peñafiel Mora (ORCID |
| Source: | Discover Education. 2025 4. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 21 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Models, Interdisciplinary Approach, Behavioral Sciences, Engineering, Research, Behavioral Science Research, Research Methodology |
| DOI: | 10.1007/s44217-025-00916-6 |
| ISSN: | 2731-5525 |
| Abstract: | The integration of engineering with behavioral sciences, such as education and psychology, facilitates the combination of technical capabilities with the study of human behavior, which contributes to the design of more effective interventions. However, this interaction faces challenges due to paradigmatic differences and skills. This paper aims to analyze areas of convergence and opportunities in interdisciplinary research between engineering and behavioral sciences, as well as to propose a framework for the execution of research. Empirical research is a point of convergence between both disciplines, where methods such as observation and experimentation are used. While behavioral sciences focus on complex social interactions, engineering focuses on system design and evaluation. The proposed framework seeks to distinguish and deepen the roles of each researcher through a collaborative process approach that includes active participation in identifying needs, executing research, and producing scientific results. To ensure the effectiveness of the framework, its validation through case studies and empirical research, the creation of interdisciplinary collaborative networks, and the standardization of methodological guidelines are recommended. In addition, the incorporation of specific quality checklists will strengthen the structure and reproducibility of interdisciplinary research, driving scientific and technological advances in the understanding and application of engineering interventions in human contexts. |
| Abstractor: | As Provided |
| Notes: | https://doi.org/10.6084/m9.figshare.30290833.v1 |
| Entry Date: | 2026 |
| Accession Number: | EJ1495487 |
| Database: | ERIC |
| Abstract: | The integration of engineering with behavioral sciences, such as education and psychology, facilitates the combination of technical capabilities with the study of human behavior, which contributes to the design of more effective interventions. However, this interaction faces challenges due to paradigmatic differences and skills. This paper aims to analyze areas of convergence and opportunities in interdisciplinary research between engineering and behavioral sciences, as well as to propose a framework for the execution of research. Empirical research is a point of convergence between both disciplines, where methods such as observation and experimentation are used. While behavioral sciences focus on complex social interactions, engineering focuses on system design and evaluation. The proposed framework seeks to distinguish and deepen the roles of each researcher through a collaborative process approach that includes active participation in identifying needs, executing research, and producing scientific results. To ensure the effectiveness of the framework, its validation through case studies and empirical research, the creation of interdisciplinary collaborative networks, and the standardization of methodological guidelines are recommended. In addition, the incorporation of specific quality checklists will strengthen the structure and reproducibility of interdisciplinary research, driving scientific and technological advances in the understanding and application of engineering interventions in human contexts. |
|---|---|
| ISSN: | 2731-5525 |
| DOI: | 10.1007/s44217-025-00916-6 |