Training Entry-Exit Gate Assessment
Vocational training is typically goal oriented either aimed to achieve certain certifications, qualify for particular jobs or qualify for formal higher education.
The goal realization not only depends on the quality of the training being imparted but also on the capability level of the candidate going through the training. Many a times a mismatched set of students are unable to cope up with training standards, leading to deficiencies in the training institution’s academic performance and collapse in reputation.
Also it is important for training institutions to identify the current ability level of candidates to be able to impart the right training. Every individual is different and identifying his or her deficiencies and strengths at in take can help plan level of teaching and batches properly reducing costs and increase the goal conversion.
Training institutions may also offer scholarships and discounts based on the Entry gate feedback for candidates who are better placed to achieve the end goals improving the reputation of the training institution.
Aspiring Minds Entry-Exit Gate Assessment Solutions provide an end-to-end system to help training institutions manage the entry, status and exit of its talent pool. Aspiring Minds Training Entry-Exit Gate Assessment Solutions works closely with the training team understanding the curriculum, entry and exit expectations and doing scientific studies to define various empirical entry gate and exit gate criteria. The solution combines the Aspiring Minds Assessment Framework (
AMAF), the Aspiring Minds Assessment Delivery Application (
AMADA), the Aspiring Minds Artificial Intelligence Feedback Engine (
AMAIFE) with scientific studies to put together a comprehensive solution.
Aspiring Minds’ Performance Analytics helps improving candidate intake period over period and by correctly predicting performance of each incoming candidate.
AMAF is a next generation Computer-Based Assessment Methodology to provide statistical and standardized assessment to pinpoint the right candidates from the large number of candidates. It overcomes limitations of traditional assessment like inaccuracy, manual labour, leaks, inability to predict performance, etc. The deployment of the framework allows you to access candidates anywhere anytime giving unprecedented access to aspiring candidates.
AMADA allows rapid deployment of customized AMAF assessment solution on a large scale across the world. Capable of delivering assessment over the Internet, LAN (wired/WIFI) and standalone PCs AMADA makes sure it adapts to any infrastructure being used. The AMADA distributed servers can scale to assess 1000s of candidates at the same time.
AMAIFE is Aspiring Minds’ state of the art Artificial Intelligence driven feedback generation engine. The engine uses advanced mapping techniques to derive detailed feedback from candidate’s inputs during assessment. This feedback is useful to the candidate in recognizing his or her areas of strengths and weaknesses. The feedback is useful for training counselors helping give candidates the right advice, form the right training batches and achieve end goals.
Request a demo at
training-demo@aspiringminds.in