How do you promote equity and inclusion with learning analytics?

1 Define your goals and values

Before you start using learning analytics, you need to have a clear purpose and vision for what you want to achieve and how you want to respect and support your learners. What are your learning objectives and outcomes? How do you align them with your learners' needs, preferences, and backgrounds? What are your ethical principles and standards for data collection, analysis, and use? How do you communicate them to your learners and stakeholders? How do you ensure that your learning analytics practices are transparent, accountable, and fair?

2 Involve your learners and stakeholders

Learning analytics is not a one-way process. It requires collaboration and participation from your learners and other stakeholders, such as instructors, administrators, researchers, and policymakers. How do you involve your learners and stakeholders in the design, implementation, and evaluation of your learning analytics initiatives? How do you solicit and incorporate their feedback and perspectives? How do you empower your learners and stakeholders to access, control, and benefit from their own data and insights? How do you foster a culture of trust and dialogue around learning analytics?

3 Address diversity and inclusion

Learning analytics can help you identify and address the diverse and complex needs and challenges of your learners. However, learning analytics can also reinforce or create inequalities and biases, such as stereotyping, marginalizing, or excluding certain groups or individuals. How do you address diversity and inclusion in your learning analytics practices? How do you ensure that your data sources, methods, and tools are representative, valid, and reliable? How do you avoid or mitigate potential harms or risks for your learners and stakeholders? How do you promote a sense of belonging and agency for your learners and stakeholders?

4 Enhance learning design and pedagogy

Learning analytics can help you enhance your learning design and pedagogy by providing evidence-based insights and recommendations for improving your learning activities, materials, and assessments. However, learning analytics can also influence or constrain your learning design and pedagogy, such as limiting your creativity, flexibility, or autonomy. How do you enhance your learning design and pedagogy with learning analytics? How do you balance your data-driven decisions with your professional judgment and intuition? How do you use learning analytics to support your learners' motivation, engagement, and achievement? How do you use learning analytics to foster your learners' metacognition, self-regulation, and lifelong learning?

5 Evaluate and improve your learning analytics practices

Learning analytics is not a static or fixed process. It requires constant evaluation and improvement to ensure its quality, relevance, and impact. How do you evaluate and improve your learning analytics practices? How do you measure and monitor your learning analytics goals and outcomes? How do you identify and address the gaps, limitations, and challenges of your learning analytics practices? How do you share and disseminate your learning analytics findings and lessons learned? How do you adapt and innovate your learning analytics practices to changing contexts and needs?

6 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?