Extensive training on attempting twenty different question types, involving integrated practice of writing, speaking, reading and listening with effective tips tailored according to student abilities.
Since PTE is an AI based exam, MCC focuses on balancing both the computing and the language skills, and monitors whether students are deft enough to maximise their output using both of them.
As for different question types, students are giving random tasks on a daily basis, switching between speaking and writing one hand, and reading and listening on the other. Guidance is provided on how to listen to different accent types, noting down the speakers' narrations in a faster yet efficient way, paraphrasing the speeches using relevant connectors and clauses, explaining graphical representations within stipulated time frames and word lengths, attempting MCQs without panic, writing essays on different topics with relevant content and faster keyboarding skills, and so on.
Mock tests are delivered to be taken by the candidates every alternate day, and sometimes even daily, depending upon the performance and adaptability level of the candidate. Post tests analyses involve feedbacks and evaluation concerning attempting-methodologies, spell checks, grammatical weakness, linguistic errors, and scope of improvement in various parts of the test.