IBMS External Verifier Training - Train the Trainer
Organised and hosted by the University of Salford, this event is for training officers and those looking to become IBMS external verifiers.
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About this event
Planning and Delivering Laboratory Training
- Understand the purpose and benefits of training
- Know the skills required to be a good trainer
- Understand the difference between coaching and mentoring
- Know how to perform training needs analysis and create a good training programme
- Understand the different learning styles
- Know how to deal with poor performance
- Understand the importance of evaluation and feedback
- Explore what we mean by Reflective Practice
- Look at different approaches to Reflective Practice
- Improve personal understanding of Reflective Practice
- Show how theory can be applied to practice
IBMS Registration Portfolio Evidence and External Verifier Training
- Structure of IBMS Registration Portfolio
- Types of evidence
- Assessing evidence (the good, the bad and the ugly)
- External verification process
- Prof Niroshini Nirmalan
- Tahmina Hussain
- Dr Lucy Smyth
- Dr Sara Namvar
- Dr Sarah Withers
- Dr Jeremy Allen
This event is organised and hosted by the University of Salford.
Train the Trainer (morning session)
Compulsory training for:
- Employers/supervisors who are new members of the pool of IBMS Portfolio Verifiers for the integrated (co-terminus) apprenticeship programme at the University of Salford.
- New supervisors of University of Salford IBMS placement students
- Existing employers/supervisors of University of Salford Students are also welcome and strongly encouraged to attend.
- ANY training officers / Biomedical Scientists in the UK who meet the essential criteria looking to become IBMS external verifiers
This session is approved by the IBMS as formal verifier training.
Employer Engagement (afternoon sessions)
Essential attendance for all IBMS labs already supervising placement and/or apprentice students at the University of Salford. Ideally all relevant supervising staff, or at least one nominee per lab to attend.