The growing importance of data literacy in life science education

Gibson, J. Phil; Mourad, Teresa

doi:10.1002/ajb2.1195

Cited by 41 publications

(23 citation statements)

References 9 publications

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“…Pangrazio and Sefton-Green [2] rightly emphasize that data should be treated critically and with caution as the datasets used (systematized datasets) can undergo too many processing cycles and be used by different agents in different contexts, with different goals and motives. Data literacy presupposes the use of quantitative and qualitative data analysis tools but a much more important skill here is the use of such tools in a specific context [3].…”

Section: Resultsmentioning

confidence: 99%

Data Literacy as a meta-skill: options for Data Science curriculum implementation

2021

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Data science is affecting an increasingly wide area of everyday life but general education in Russia has not yet reacted to the new challenges associated with this aspect of digitalization. The changes in technologies, the economy, and society over the last two decades have formed a new agenda for teaching mathematics and information technologies, as well as media education and social sciences. Education in all these fields requires a reconsideration of the content and methods of teaching due to the increasing importance of data science and artificial intelligence in the context of fundamental changes in the economy and the labor market. As many areas of human life are changing, there is a need to formulate new types and kinds of educational results, at which modern pedagogy should be aimed. A modern way of meeting such challenges is to distinguish new literacies (media literacy, environmental literacy, functional literacy, etc.). The article deals with the concept of data literacy, examines its content and composition, and substantiates its relevance as an educational result consistent with digitalization trends that one can observe in modern society. A distinction is made between approaches to in-depth and general studies of data science. A description is given of various types of tasks aimed at developing data literacy among students in the context of their setting on different educational material. The authors consider possible ways of deploying programs aimed at mastering data science by students without the need to formalize it into a separate discipline or school subject.

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Section: Resultsmentioning

confidence: 99%

Data Literacy as a meta-skill: options for Data Science curriculum implementation

2021

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“…For years, data have been a driving force in science, 1 and now it is the same in business, 2 where the ability to interpret facts is often the basis for success. In the era of big data, fake news, and misinformation, the sheer quantity of digital resources has become so overwhelming that data are interpreted as elementary components of facts.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Basic Data Literacy Skills on Work-Related Empowerment: The Alumni Perspective

Deja

Januszko-Szakiel

Korycińska

et al. 2021

CRL

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The purpose of this research is to measure the impact of data literacy on psychological empowerment in workplace for newly employed graduates. Since data play an increasingly important role in our lives, including the work environment, it incites research on whether data literacy skills, those related to collecting, processing, analyzing, and effectively communicating information retrieved from data models have a significant role in the psychological empowerment of alumni in the labor market. Statistical analysis methods were used to measure the correlation between indicators of data literacy and the psychological empowerment of alumni in their work. Competencies in using data models affect the self-efficacy of newly employed alumni at the workplace, mostly in terms of data-driven communication. The findings were discussed in the context of the increasing significance of the data librarian role as a possible method of supporting students and alumni via librarians who are now more involved in creating the educational outcomes of a given college or university.

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“…Data are of the utmost importance throughout most facets of life, from academia [1][2][3][4][5][6], to politics [7,8], to the economy [9,10], to our daily lives [11]: it is generated by our cars, heating, fitness devices and communication. Its importance is still increasing as the costs of data generation are continuously dropping [12] and data covers more and more facets of the modern world.…”

Section: Introductionmentioning

confidence: 99%

“…Any claim, reasoning, decision or political measure is perceived to be more convincing if it is grounded in data. 1 This notion is exemplified by W. Edwards Deming's quote: "In God we trust, all others must bring data." Or, as Koltay et al put it, "There is an aura of truth, objectivity, and accuracy around it [...]" [14].…”

Section: Introductionmentioning

confidence: 99%

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Balancing Plurality and Educational Essence: Higher Education Between Data-Competent Professionals and Data Self-Empowered Citizens

Hachmeister

Weiß

Theiß³

et al. 2021

Data

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Data are increasingly important in central facets of modern life: academics, professions, and society at large. Educating aspiring minds to meet highest standards in these facets is the mandate of institutions of higher education. This, naturally, includes the preparation for excelling in today’s data-driven world. In recent years, an intensive academic discussion has resulted in the distinction between two different modes of data related education: data science and data literacy education. As a large number of study programs and offers is emerging around the world, data literacy in higher education is a particular focus of this paper. These programs, despite sharing the same name, differ substantially in their educational content, i.e., a high plurality can be observed. This paper explores this plurality, comments on the role it might play and suggests ways it can be dealt with by maintaining a high degree of adaptiveness and plurality while simultaneously establishing a consistent educational “essence”. It identifies a skill set, data self-empowerment, as a potential part of this essence. Data science and literacy education are still experiencing changeability in their emergence as fields of study, while additionally being stirred up by rapid developments, bringing about a need for flexibility and dialectic.

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The growing importance of data literacy in life science education

Cited by 41 publications

References 9 publications

Data Literacy as a meta-skill: options for Data Science curriculum implementation

Data Literacy as a meta-skill: options for Data Science curriculum implementation

The Impact of Basic Data Literacy Skills on Work-Related Empowerment: The Alumni Perspective

Balancing Plurality and Educational Essence: Higher Education Between Data-Competent Professionals and Data Self-Empowered Citizens

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