Why, what, how – Learning analytics for teachers and learners

The Learning Analytics podcast series delves into the world of data and learning analytics from a teacher and learner perspective. The five-part series will feature a panel of experts discussing how data collected from studying and learning is changing the design and assessment of learning.

The podcasts are in Finnish and the alternative text in Finnish, Swedish and English can be found on the Aoe.fi.

Episode 1: Why is learning analytics important?

The first episode of podcast focus on the basics of learning analytics and why it is so central for the development of teaching. The podcast discusses the role of learning analytics in supporting decision-making done by teachers and how it can help students succeed. (Open episode 1 podcast, 31:36 min)

Reflect and describe

What are the usage recommendations for learning analytics in your own university?
How do you or your colleagues use learning analytics?
What expectations do you have for future learning analytics in your own teaching or learning??

Episode 2: How do I use learning analytics?

The second episode of podcast dives deeper into the world of learning analytics and explore what valuable information it can provide to teachers and learners. The podcast discusses performances, participation, monitoring of progress and other relevant information that can change the way in which we understand learning. But above all, podcast focus on the concept of analysis and find out what learning analytics really means. (Open episode 2 podcast, 20:39 min)

Reflect and describe

Outline the learning outcomes for the study unit: consider the outcomes and reflect on how the learner can achieve them, considering different options.
What kind of learning analytics tools are available in your learning platform? How can learner activity be monitored on the learning platform?
How can you link different forms of learning that take place outside the learning platform (such as reports on external projects, reading literature and discussing it, independent research or online learning) to the learning platform?
How the collected data affects assessment?
How can you make use of the information generated by learning analytics to develop your courses?

Episode 3, part 1: How can I use learning analytics to support student engagement?

Episode 3 is divided into three parts. These three parts of the third episode highlight how teachers in different fields use learning analytics in their own teaching work. (Open episode 3 part 1 podcast, 11:41 min)

Episode 3, part 2: How can I use learning analytics to support student engagement?

Episode 3, part 3: How can I use learning analytics to support student engagement?

Reflect and describe

Reflect on your own attitude and starting points for a learner-centred use of learning analytics.

Episode 4: How can I use learning analytics to support student engagement?

Episode 4 looks at supporting student engagement through learning analytics. (Open episode 4 podcast, 36:14 min)

Reflect and describe

How could you use learning analytics to support student engagement?

Episode 5: How to use learning analytics and artificial intelligence to streamline the assessment process?

The final episode of the series discusses the role of learning analytics and artificial intelligence in the evaluation process. This podcast discusses what can be automated in the dose of feedback and how learning analytics can improve feedback and discuss how AI affects assessment and feedback. (Open episode 5 podcast, 33:13 min)

Reflect and describe

How does the use of AI affect the learning of learners in your course?
- What tasks can learners in your course outsource to AI?
- How do you ensure that learners learn when AI tools are freely available?
- How can you bring AI into the learning process as an important member of the learning process?
- How can AI support learners’ understanding and deep learning?
How does the use of AI affect course assessment?
- What is the role of AI-assisted tasks in assessment?
- How can you ensure learners’ learning and understanding when AI tools are freely available?
- What assessment criteria and methods should be considered when using AI to assess learning?

More information on training

This training is part of the Digivisio 2030 programme’s e-learning training, which aims to develop the competence of the teaching and support staff of higher education institutions in order to promote the high-quality content of the opin.fi service. The training has been implemented following the principle of micro-learning. In other words, it consists of one or more episodes with one or more assignments. The videos and podcasts of the training package can be viewed on the Digivisio 2030 programme’s YouTube channel, and all materials related to the trainings can be found on Aoe.fi on the page of the training. The reflection exercises have made use of the original training material.

These trainings are licensed under CC BY-SA 4.0.

This training has been provided by:

Aksovaara, Satu (JAMK University of Applied Sciences)
Kullberg, Olesia (LAB University of Applied Sciences)