NCFE CACHE Level 3 Certificate in Assessing Vocational Achievement
This qualification is for learners aged 19 and above.
ABOUT THIS QUALIFICATION
This qualification is intended for those who assess both occupational competence in the work environment and vocational skills, knowledge and understanding in environments other than the workplace (for example a workshop, classroom or other training environment).
This qualification is required for:
This qualification which relates most to the old A1 qualification.
It consists of Unit 1, Unit 2, Unit 3
It is for assessors who need to be qualified to assess in all of the assessment situations like workplace, classroom or workshop-based training environment and using all of the methodologies
Qualification Structure
Unit 1: Understanding Principles and Practices Assessment (D/601/5313)- 3 credits
This unit aims to assess the learning and development practitioner’s knowledge and understanding of the principles and practices of assessment. Practitioner means anyone with a learning and development responsibility as the whole or part of their role.
Unit 2: Assess occupational competence in the work environment (H/601/5314)- 6 credits
This unit aims to assess a learning and development practitioner’s performance in carrying out assessments of occupational competence in a work environment. This unit requires evidence of using the following assessment methods
observation of performance in the work environment
examining products of work
questioning the learner
discussion with learner
use of other (witness testimony)
looking at learner statements
recognising prior learning
Unit 3: Assess vocational skills, knowledge and understanding (F/601/5319)- 6 credits
This unit aims to assess a learning and development practitioner’s performance in assessing vocational skills, knowledge and understanding outside of the work environment. Assessment methods include
Assessment of learners in simulated environments
skills tests
oral and written questions
assignments
projects
case studies
recognising prior learning