Train the Trainer: Design Genomics and Bioinformatics Training (FutureLearn)

Explore adult learning theory and principles

Alongside expert genomics educators, you’ll discuss adult learning theory, and discover how an active, learner-centred approach can guide good course design.

You’ll be equipped with general good practice teaching techniques, as well as the educational methods commonly used to teach laboratory workflows and bioinformatics in genomics.

Build and develop your training skills

The course will show you how to create learning experiences from subject content, and the importance of communication, group work, and facilitation in teaching and training.

You’ll identify common educational methods used to teach, and assess the bioinformatics and laboratory methods required for genomics.

Learn practical genomics training skills

The course will culminate in you making a peer-reviewed project, where you’ll design your own genomics training plan, and reflect on how you can receive feedback and improve as a trainer.

You’ll come away able to confidently plan and design courses on how to generate and analyse genomic data.

What topics will you cover?

- Adult learning and teaching principles and approaches for small or large groups.

- Social learning through knowledge sharing; role of teacher/trainer in a learner centred environment.

- Iterative process of learning design and development applied to genomics training.

- Common educational methods to teach and assess bioinformatics and laboratory methods required for genomics.

- Peer review project: design training in genomics, evaluate, reflect and improve.

What will you achieve?

By the end of the course, you‘ll be able to...

- Discuss adult learning theory and illustrate how an active, learner centred approach guides course design

- Apply good practice learning and teaching skills of communication, group work and facilitation

- Identify opportunities for creating learning experiences from subject content

- Plan and design learning for a selected audience encompassing aspects of generation and analysis of genomic data, suitable for own context and environment

- Evaluate and reflect on learning design and identify areas for improvement using peer review feedback