
doi: 10.36702/zin.705
handle: 20.500.12128/18510
Purpose/Thesis Digital wisdom is understood as the ability to use modern computer technology wisely to improve thinking and decision-making and to share results (Prensky, 2012a, p. 47). The aim of this article is to present selected digital tools that contribute to increasing the effectiveness of scientific research and facilitate conceptual work, information retrieval, note taking and the writing up of research. Approach/Methods The basic stages of the research process were distinguished, and for each of them a tool (a computer program) was selected that directly increases work efficiency and features functions that exceed human capabilities. Results and conclusions The latest digital tools are equipped with features that improve effectiveness at all stages of the research process. The improvement includes both speeding up completion of a task (e.g. searching for information) and showing relationships between documents or individual concepts that are barely noticeable by human standards (e.g. through the visualization of data and information). Originality/Value The skillful use of modern digital tools is a fundamental element of digital wisdom as computer programs and web applications significantly broaden human perception and cognitive capabilities.
302, Information retrieval, Digital tools, Digital wisdom, Note-taking, Research work
302, Information retrieval, Digital tools, Digital wisdom, Note-taking, Research work
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
