With understanding of AI, they develop, select, and apply relevant algorithms and advanced computational methods to enable systems or software agents to learn, improve, adapt, and produce desired outcomes or tasks. In turn, they communicate the limitations of data by telling when data is being manipulated to support a limited or false narrative. They create and build knowledge by analyzing data, communicate its meaning to others with various data visualization tools ( e.g., infographics, dynamic, illustrative, and interactive graphics), and present patterns, trends, analytical insights from data or new concepts in a strategic manner for the intended audience. They read, manage, analyze, and process data from a variety of sources, and prepare data in a structure that is easily accessed and analyzed according to specific requirements. Individuals develop efficient and stable processes to collect, store, extract, transform, load, and integrate data at various stages in the data pipeline. They plan and conduct research to understand overall trends ( e.g., market, customer, and competitor) to extract useful insights and optimization efforts. They co-create an organization’s projected brand and reputation by developing and implementing branding campaigns, public relations, and reputation management strategies.
They engage audiences in a dialogue utilizing various digital tools including search engine optimization and/or marketing strategies, and monitoring data analytics to strategically boost engagement online. They conceptualize digital storyboards, optimize content delivery and their messages, develop dissemination strategies on and across various channels and platforms, and track audience response and communication effectiveness. Individuals communicate their ideas and messages through digital media and technology that are available to them ( e.g., setting up a crowdfunding initiative, participating in a social movement online, or launching a digital marketing campaign). They also ensure a seamless user experience of their digital creation by prioritizing ease of usage, including visual, technical, and functional elements in the interface design as well as configuring their end creations to efficiently deploy releases to different platforms and operating systems. Furthermore, they develop applications in line with a specified design as well as existing development and security standards and are able to analyze components and reuse, improve, reconfigure, add, or integrate as needed. Moreover, they exhibit computational thinking - selection and application of algorithms, interpretation of data, and usage of advanced computational methods to achieve desired results, tasks and/or address specific issues or requirements. They are able to share information and knowledge and create and execute plans for the design of digital creations ( e.g., content, software or hardware) based on needs as well as practicality, efficiency, and functionality. They access needs, synthesize knowledge and ideas across a variety of disciplines to make decisions and cooperate with others, identify and use data digital media tools and technology to solve problems, and adjust and customize digital environments to suit personal, organizational, and community needs. Individuals are able to conceptualize, build on, organize, create, adapt, and share knowledge, digital content, and technology. DQ online tool serving as a living document that enables the DQ Framework to continuously evolve with feedback and early detection of new competencies related to emerging technologies.Continuously aggregating knowledge and best practices from around the world on digital literacy and skills education, training and policies to ensure that the framework remains pedagogically and technically up-to-date.Built to enhance global agendas, such as OECD’s 11 areas of well-being, the Universal Declaration of Human Rights, and UN’s Sustainable Development Goals.Systematic structure built on the OECD Education 2030 Learning Framework that enables flexible national and organizational adoption and customization.Common language, systemic structure, and taxonomy created by aggregating over 25 leading frameworks on digital competencies worldwide.Overarching concept that encompasses digital literacy, skills, and readiness.
DQ has three levels, eight areas, and 24 competencies composed of knowledge, skills, attitudes, and values. Digital Intelligence (DQ) is a comprehensive set of technical, cognitive, meta-cognitive, and socio-emotional competencies that are grounded in universal moral values and that enable individuals to face the challenges and harness the opportunities of digital life.
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