Increasing Transparency on the Use of Artificial Intelligence and Automated Tools in Mixed Methods Studies

This editorial describes a new requirement for submissions to the Journal of Mixed Methods Research (JMMR): transparently disclose the use of artificial intelligence or automated tools during the research process. An in-depth review of the perceived and actual advantages and disadvantages of using artificial intelligence/automated tools is beyond the scope of this editorial. In this editorial, we indicate some definitions and implications of using these tools in research. Next, we emphasize several reporting requirements that authors must consider in their submissions to JMMR. Finally, some steps and opportunities are highlighted.

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Publication Details

Journal
Journal of Mixed Methods Research
Published
2024-09-18
DOI
https://doi.org/10.1177/15586898241287294
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.12
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article

Increasing Transparency on the Use of Artificial Intelligence and Automated Tools in Mixed Methods Studies

Tyler Glenn James, José F. Molina‐Azorín, Timothy C. Guetterman
1 citations
Journal of Mixed Methods Research
Artificial Intelligence in Healthcare and Education
0.12
article

Increasing Transparency on the Use of Artificial Intelligence and Automated Tools in Mixed Methods Studies

Tyler Glenn James, José F. Molina‐Azorín, Timothy C. Guetterman
article en
1 citations

Abstract

This editorial describes a new requirement for submissions to the Journal of Mixed Methods Research (JMMR): transparently disclose the use of artificial intelligence or automated tools during the research process. An in-depth review of the perceived and actual advantages and disadvantages of using artificial intelligence/automated tools is beyond the scope of this editorial. In this editorial, we indicate some definitions and implications of using these tools in research. Next, we emphasize several reporting requirements that authors must consider in their submissions to JMMR. Finally, some steps and opportunities are highlighted.

Journal of Mixed Methods ResearchVol. 18(4)
University of Alicante (ES), University of Michigan (US)
Openalex Percentile: Top 48%
Artificial Intelligence in Healthcare and Education
0.12
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Increasing Transparency on the Use of Artificial Intelligence and Automated Tools in Mixed Methods Studies — Tyler Glenn James, José F. Molina‐Azorín, et al. · Journal of Mixed Methods Research (2024) | TGRS Research Map | TGRS