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How can you scale learning analytics across contexts?

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Learning analytics is the process of collecting, measuring, and analyzing data related to learning and performance. It can help you design, deliver, and evaluate training and development programs that are aligned with your organizational goals and learners' needs. However, learning analytics is not a one-size-fits-all solution. Different contexts may require different approaches, tools, and metrics to make sense of the data and generate actionable insights. How can you scale learning analytics across contexts and ensure its validity, reliability, and usefulness? Here are some tips to help you.

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?? Ilian Stankov (Tank)

I will help you speak English fluently to achieve personal and career goals
Opeyemi OMOJOKUN

Career Development || Training and Curriculum Development || Recruitment || People Analytics || HR Administration ||…

1 Define your purpose and scope

Before you dive into the data, you need to clarify why you are doing learning analytics and what you want to achieve. What are your learning objectives, outcomes, and indicators? What are the key questions you want to answer or the problems you want to solve? What are the stakeholders' expectations and needs? How will you use the data to inform your decisions and actions? Defining your purpose and scope will help you focus your analysis, select the most relevant data sources and methods, and communicate your findings effectively.

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?? Ilian Stankov (Tank)

I will help you speak English fluently to achieve personal and career goals
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Before you begin, you need to have the end goal in mind. What are we trying to do? When you get an answer or a statement, ask "why"? Repeat until you get to the bottom and you have a clear, reasonable, achievable purpose statement. After that, you can think of the scope - to what extent we expect the end goal to be applicable? Rinse and repeat until you get to the bottom. Only then you can perform needs analysis which will help you decide what data you need in the first place, how to collect it, how to analyze it.

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2 Choose the right tools and methods

There are many tools and methods available for learning analytics, ranging from simple surveys and quizzes to sophisticated dashboards and algorithms. However, not all of them are suitable for every context. You need to consider the availability, quality, and compatibility of the data, as well as the feasibility, cost, and complexity of the tools and methods. You also need to balance the depth and breadth of the analysis, depending on the level and scope of your inquiry. For example, you may use descriptive analytics to report on what happened, diagnostic analytics to understand why it happened, predictive analytics to forecast what will happen, or prescriptive analytics to recommend what to do.

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?? Ilian Stankov (Tank)

I will help you speak English fluently to achieve personal and career goals
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I am an English teacher. It makes me wanna cry how often people come to me desperate. They are terrified of speaking English. Irealized that traditional teachers only try to fill knowledge gaps. Any inability to produce English is explained with lack of grammar knowledge and vocabulary; hence, they lecture on rules and list of words. They are wrong. Often, the first thing people need is a safe environment, where they can mix English and their native language to express themselves. It doesn't matter whether they spoke correctly or not, what is important is that they said something and were understood. Just because you measured that somebody doesn't use Present Continuous correctly, it doesn't mean that this is the root of the problem.

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3 Adapt to different contexts and audiences

Learning analytics is not a static or isolated process. It is influenced by and influences the context and the audience of the analysis. You need to be aware of the cultural, ethical, and legal aspects of the data collection and use, as well as the potential biases, limitations, and risks of the analysis. You also need to tailor your analysis and presentation to the specific needs, preferences, and expectations of your audience. For example, you may use different formats, languages, and visuals to convey your message to different groups of stakeholders, such as learners, instructors, managers, or clients.

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?? Ilian Stankov (Tank)

I will help you speak English fluently to achieve personal and career goals
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I make it usable - this is the reason I am so successful as a teacher. Most English teachers are linguists. They have deep knowledge and understanding of the grammar. This is a problem, because they expect the students to achieve the same level of mastery. This is wrong. An accountant needs only as much English as needed to communicate his work. They don't need to form 100% grammatically correct sentences, always use the best synonym, or craft poetic messages. No. They just need to communicate their work with simple words. That's it. This means, that we need to be mindful of the audience and adapt to their needs and expectations.

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4 Evaluate and improve your practice

Learning analytics is not a one-time or final activity. It is a continuous and iterative process that requires constant evaluation and improvement. You need to monitor and measure the impact and value of your learning analytics practice, as well as the feedback and satisfaction of your stakeholders. You also need to identify and address the gaps, challenges, and opportunities for your learning analytics practice, as well as the best practices and lessons learned from other contexts. For example, you may use benchmarks, standards, or frameworks to assess your performance, or join communities of practice or networks to share your experiences and learn from others.

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5 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?

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Opeyemi OMOJOKUN

Career Development || Training and Curriculum Development || Recruitment || People Analytics || HR Administration || CV/Resume Writing || LinkedIn Optimization || Talent Management
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Learning analytics reflects the optimum vision of an organization. Learning analytics should be a direct function of objective key result areas of the organization. Competency-based learning analytics will have a glorious return on the organizational development

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How can you scale learning analytics across contexts?

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2

3

4

5

1 Define your purpose and scope

2 Choose the right tools and methods

3 Adapt to different contexts and audiences

4 Evaluate and improve your practice

5 Here’s what else to consider

Training & Development

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How can you scale learning analytics across contexts?

1

2

3

4

5

1 Define your purpose and scope

2 Choose the right tools and methods

3 Adapt to different contexts and audiences

4 Evaluate and improve your practice

5 Here’s what else to consider

Training & Development

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