The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Methodology for systematic literature review applied to engineering and education
Abstract
A systematic review of the scientific literature in a specific area is important for identifying research questions, as well as for justifying future research in said area. This process is complex for beginners in scientific research, especially if you have not developed skills for searching and filtering information, and do not know which high-level databases are relevant in their field of study. The method proposed leads the researcher from "My" to "The" current state of the problem; we propose an adaptation of the method by Kitchenham and Bacca, which divides the process into three sub-parts: planning, conducting and reporting results. From the approach of the research problem in the preliminary phase research questions (recommended between 3 to 5) and "mentefacto conceptual" is drawn; this last one gives originality to the method and facilitates the development of the thesaurus for searches and inclusion and exclusion criteria. Early research requires doing a basic systematic study to identify work done to review the literature in the area and, if any is found, to verify if those results yield an answer to our research questions. As part of planning the search process, general and specific inclusion and exclusion criteria were defined, along with some complementary inclusion and exclusion parameters. The method followed with rigor, returns to the researcher a list of impact journals in the study area, and a detail of articles that are related to each category of the research questions. A study case has been considered as a guide to expose each of the phases of the methodology in a practical way, with results that support the proposal.
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Cites
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Systematic Literature Reviews in Software Engineering—A Systematic Literature Review
Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009) · Information and Software Technology · doi:10.1016/j.infsof.2008.09.009 · Cited by 4,537
Cited by
López Ruiz, L. A., Roca Ramón, X., & Gassó Domingo, S. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119238 · Cited by 538
A systematic literature review on the use of machine learning in precision livestock farming
García, R., Aguilar, J., Toro, M., Pinto, A., & Rodríguez, P. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105826 · Cited by 292
Nwakanma, C. I., Ahakonye, L. A. C., Njoku, J. N., Odirichukwu, J. C., Okolie, S. A., Uzondu, C., Ndubuisi Nweke, C. C., & Kim, D.-S. (2023) · Applied Sciences · doi:10.3390/app13031252 · Cited by 202
Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review
Maldonado-Correa, J., Martín-Martínez, S., Artigao, E., & Gómez-Lázaro, E. (2020) · Energies · doi:10.3390/en13123132 · Cited by 183
Evolution of Dark Web Threat Analysis and Detection: A Systematic Approach
Nazah, S., Huda, S., Abawajy, J., & Hassan, M. M. (2020) · IEEE Access · doi:10.1109/access.2020.3024198 · Cited by 92
Metadata
- Authors
- Torres-Carrion, P. V., Gonzalez-Gonzalez, C. S., Aciar, S., & Rodriguez-Morales, G.
- Venue
- 2018 IEEE Global Engineering Education Conference (EDUCON)
- Publisher
- IEEE
- Published
- 2018-04
- Pages
- 1364-1373
- OpenAlex
- W2804891084
- Cited by
- 275
- References
- 2
- FWCI
- 3.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Torres-Carrion, P. V., Gonzalez-Gonzalez, C. S., Aciar, S., & Rodriguez-Morales, G. (2018). Methodology for systematic literature review applied to engineering and education. 2018 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon.2018.8363388
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.