Introduction
A main objective of this module is to equip learners with relevant content to understand how livestock are currently fed in modern production systems and how practices may change in the future. This learning objective will be aided by the completion of a student-led project which involves the planning, execution, and communication of a relevant research question. A systematic review of the literature on a topic related to animal nutrition will be performed and the findings will be presented in two forms: a written literature review and a short presentation. To increase the opportunity for peer-to-peer learning, students will work in small groups according to the research area chosen. In addition, to foster communication and collaborative engagement, students will be required to evaluate other group members’ outputs and submit several short reviews.
What is a systematic review?
A systematic review should contain the following elements:
Good research is rarely carried out on an ad hoc basis. From the outset, you need to be clear about why you are carrying out your systematic review. For example, you may want to evaluate the current state of knowledge about a particular topic of interest, contribute to the development of specific theories or the establishment of a new evidence base and/or make recommendations for future research. However, you need to think about what you want to learn from your systematic review. You might find that balancing your learning objectives with the objectives of the review may be challenging at times; this is most likely to be true when you are reviewing a topic of interest in your field.
Skills developed
✓ Develop organisational and writing skills
✓ Locate, synthesise and critically review scientific information and data from a wide range of sources and construct and defend reasoned conclusions
✓ Design and undertake research using appropriate data collection and analysis methods
✓ Develop an ability to use and interpret a wide range of datasets
✓ Communicate findings, ideas and solutions clearly and effectively
✓ Address the gap between science and policy
✓ Develop strategies for continuous professional development and continue selfdirected learning required to enhance their career ambitions
✓ Develop an ability to critically evaluate data reliability, quality and utility