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Develop Culture
To integrate data literacy skills into the organisational culture, it is
important to make data-driven decision-making a fundamental part of
everyday work. This will help:
● leaders play a crucial role in fostering this data-driven culture in an
organisation.
● in training programs to build data literacy skills through learning
across all levels.
● in encouraging a collaborative environment that will lead to imbibing this new culture into the existing
culture with time.
Prescriptive Learning
Prescriptive learning refers to an educational approach that focuses
on guiding students towards specific outcomes or behaviours
through structured instruction and targeted interventions based on
data and analysis of their learning needs.
By implementing a prescriptive learning approach, organisations can
provide a set of diverse resources that align with individual learning
styles. This approach ensures that there is:
● customised learning journeys tailored according to different people( for example, different educational
backgrounds) based on individual needs and preferences.
● a variety of learning materials that cater to different learning styles and help in easier grasping of concepts.
● enough leverage or advantage to the learners to progress at their own pace, accommodating their schedules
and learning speeds.
● create an environment that makes learners feel comfortable and gain new skills in an environment to
supports continuous learning and encourages self-directed exploration.
● each participant can choose the materials and methods that work best for them, leading to more effective
learning and greater improvement in data literacy skills over time.
Evaluate
Designing an evaluation metric for the data literacy program involves
creating a structured framework to assess participants’ progress and
the effectiveness of the program overall. It helps to:
● improve participants’ overall data literacy skills.
● establish clear criteria to measure the success of the data literacy
program and individual participant growth.
● establish a schedule for assessing participant progress to monitor
their development over time.
Data Literacy Framework—An Iterative Process
This means the development and enhancement of data literacy skills are not static or one-time event. Instead,
they evolve through continuous cycles of learning, application, and refinement.
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