Creating an Understanding of Data Literacy for a Data-driven Society

Society has become increasingly reliant on data, making it necessary to ensure that all citizens are equipped with the skills needed to be data literate. We argue that the foundations for a data literate society begin by acquiring key data literacy competences in school. However, as yet there is no clear definition of what these should be. This paper explores the different perspectives currently offered on both data and statistical literacy and then critically examines to what extent these address the data literacy needs of citizens in today’s society. We survey existing approaches to teaching data literacy in schools, to identify how data literacy is interpreted in practice. Based on these analyses, we propose a definition of data literacy that is focused on employing an inquiry-based approach to using data to understand real world phenomena. The contribution of this paper is the creation of a common foundation for teaching and learning data literacy skills

Urban Data in the primary classroom: bringing data literacy to the UK curriculum

As data becomes established as part of everyday life, the ability for the average citizen to have some level of data literacy is increasingly important. This paper describes an approach to teaching data skills in schools using real life, complex, urban data sets collected as part of a smart city project. The approach is founded on the premise that young learners have the ability to work with complex data sets if they are supported in the right way and if the tasks are grounded in a real life context. Narrative principles are used to frame the task, to assist interpretation and tell stories from data and to structure queries of datasets. An inquiry-based methodology organises the activities. This paper describes the initial trial in a UK primary school in which twelve students aged 9-10 years learnt about home energy consumption and the generation of solar energy from home solar PV, by interpreting existing visualisations of smart meter data and data obtained from aerial survey. Additional trials are scheduled with older learners which will evaluate learners on more challenging data handling tasks. The trials are informing the development of the Urban Data School, a web-based platform designed to support teaching data skills in schools in order to improve data literacy among school leavers

Responsible research and innovation in science education: insights from evaluating the impact of using digital media and arts-based methods on RRI values

The European Commission policy approach of Responsible Research and Innovation (RRI) is gaining momentum in European research planning and development as a strategy to align scientific and technological progress with socially desirable and acceptable ends. One of the RRI agendas is science education, aiming to foster future generations' acquisition of skills and values needed to engage in society responsibly. To this end, it is argued that RRI-based science education can benefit from more interdisciplinary methods such as those based on arts and digital technologies. However, the evidence existing on the impact of science education activities using digital media and arts-based methods on RRI values remains underexplored. This article comparatively reviews previous evidence on the evaluation of these activities, from primary to higher education, to examine whether and how RRI-related learning outcomes are evaluated and how these activities impact on students' learning. Forty academic publications were selected and its content analysed according to five RRI values: creative and critical thinking, engagement, inclusiveness, gender equality and integration of ethical issues. When evaluating the impact of digital and arts-based methods in science education activities, creative and critical thinking, engagement and partly inclusiveness are the RRI values mainly addressed. In contrast, gender equality and ethics integration are neglected. Digital-based methods seem to be more focused on students' questioning and inquiry skills, whereas those using arts often examine imagination, curiosity and autonomy. Differences in the evaluation focus between studies on digital media and those on arts partly explain differences in their impact on RRI values, but also result in non-documented outcomes and undermine their potential. Further developments in interdisciplinary approaches to science education following the RRI policy agenda should reinforce the design of the activities as well as procedural aspects of the evaluation research

Name It and Claim It: Cross-Campus Collaborations for Community-Based Learning

This article describes the value of cross-campus collaborations for community-based learning. We argue that community-based learning both provides unique opportunities for breaking academic silos and invites campus partnerships to make ambitious projects possible. To illustrate, we describe a course Writing for Social Justice that involved created videos for our local YWCA\u27s Racial Justice Program. We begin by discussing the shared value of collaboration across writing studies and librarianship (our disciplinary orientations). We identify four forms of cross-campus collaboration, which engaged us in working with each other, with our community partner, and with other partners across campus. From there, we visualize a timeline, turning from the why of cross-campus collaborations to the how. Finally, we underscore the need to name and claim--to value and cultivate--cross-campus collaborations for community-based learning

Data Swagger: A Systemic Approach to Train, Motivate and Engage Data Savvy Employees

The relevance of data literacy has increased substantially over the past three decades. When trained well, data-literate employees at all levels can make data-driven decisions, improving the overall performance of their organization. Utilizing Transformative Learning Theory (TLT) and Experiential Learning Theory (ELT), this paper proposes a systematic data education framework for increasing data literacy across organizations. Focusing on the needs and experiences of non-expert end-users, this model proposes the following four learning strategies in data literacy training design: experiential data training, critical incident reflection, rational open discourse, and autonomous experimentation. To inform this model and further investigate barriers to data literacy in organizations, interviews were conducted with individuals from two different data analytics units in the U.S. Department of Defense. This research provides key insight and practical suggestions for developing and improving data literacy training programs

Design Fiction Diegetic Prototyping: A Research Framework for Visualizing Service Innovations

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Purpose: This paper presents a design fiction diegetic prototyping methodology and research framework for investigating service innovations that reflect future uses of new and emerging technologies. Design/methodology/approach: Drawing on speculative fiction, we propose a methodology that positions service innovations within a six-stage research development framework. We begin by reviewing and critiquing designerly approaches that have traditionally been associated with service innovations and futures literature. In presenting our framework, we provide an example of its application to the Internet of Things (IoT), illustrating the central tenets proposed and key issues identified. Findings: The research framework advances a methodology for visualizing future experiential service innovations, considering how realism may be integrated into a designerly approach. Research limitations/implications: Design fiction diegetic prototyping enables researchers to express a range of ‘what if’ or ‘what can it be’ research questions within service innovation contexts. However, the process encompasses degrees of subjectivity and relies on knowledge, judgment and projection. Practical implications: The paper presents an approach to devising future service scenarios incorporating new and emergent technologies in service contexts. The proposed framework may be used as part of a range of research designs, including qualitative, quantitative and mixed method investigations. Originality: Operationalizing an approach that generates and visualizes service futures from an experiential perspective contributes to the advancement of techniques that enables the exploration of new possibilities for service innovation research

“It’s in the Syllabus”: Identifying Information Literacy and Data Information Literacy Opportunities Using a Grounded Theory Approach

Developing innovative library services requires a real world understanding of faculty members\u27 desired curricular goals. This study aimed to develop a comprehensive and deeper understanding of Purdue\u27s nutrition science and political science faculties\u27 expectations for student learning related to information and data information literacies. Course syllabi were examined using grounded theory techniques that allowed us to identify how faculty were addressing information and data information literacies in their courses, but it also enabled us to understand the interconnectedness of these literacies to other departmental intentions for student learning, such as developing a professional identity or learning to conduct original research. The holistic understanding developed through this research provides the necessary information for designing and suggesting information literacy and data information literacy services to departmental faculty in ways supportive of curricular learning outcomes

Redefining visual literacy in an era of visual overload: The use of reflective visual journals to expand students’ visual thinking

In an era in which “all media are mixed media” (Mitchell, 2002), visual information is central in interpersonal and mass communication. Despite this daily consumption of visual information, “digital natives” (Prensky, 2001) are not prepared to critically engage with images (Brumberger, 2016). Scholars in the field of visual literacy identified a curricular bias towards written texts (Elkins, 2007), and the need for more training of visual literacy in higher education (Metros & Woolsey, 2006). However, the discussion of visual literacy in higher education is dominated by studies that measure teaching strategies (Bowen, 2017; Johnston et al. 2017) but rarely discuss the meaning of visual literacy from a student perspective. Visual reflection is a learning experience that involves reading, writing, thinking, and feeling with and through images. This study investigates undergraduate students’ experience with visual reflection in a visual studies class through a phenomenographic approach to 29 visual journals and a thematic analysis of 9 semi-structured interviews with students. The objective is discussing the potential contribution of visual reflection to students’ multimodal literacies. This study contends that the promotion of visual reflection needs to be systematically implemented in all fields engaged in knowledge production as visual reflection enhances academic learning, fosters multimodal literacies, and promotes the visualization of knowledge