What are effective ways to use learning analytics in journalism?

3 Analyze and visualize the data

Once you have collected the data, you need to analyze and visualize it to make sense of it. You can use different tools and methods to do this, such as dashboards, charts, graphs, or maps. You can also use software, such as Tableau or R, to perform more advanced analysis and visualization. You need to look for patterns, trends, outliers, or correlations in the data that can help you understand your learning process and outcomes. For example, you can use data to measure your engagement, retention, feedback, or impact.

5 Share and collaborate with others

Learning analytics are not only useful for your individual learning, but also for your collaborative learning. You can share and collaborate with other journalists, learners, or instructors who have similar or complementary learning needs and objectives. You can use online platforms, such as Slack or Google Docs, to communicate, exchange, or co-create data and insights. You can also use online communities, such as Medium or Twitter, to showcase, discuss, or get feedback on your data and insights.

6 Learn from the best practices

Learning analytics are not a new phenomenon in journalism. Many media organizations and journalists have been using data to inform and improve their work for a long time. You can learn from the best practices and examples of how learning analytics are used in journalism. You can read case studies, reports, or blogs that showcase how learning analytics are used to enhance journalistic skills, stories, and audiences. You can also follow or join online courses, webinars, or podcasts that feature experts and practitioners who share their experiences and tips on using learning analytics in journalism.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?