Develop analytical thinking, problem-solving abilities to be a part of Industry 4.0
Friday, July 12, 2019
Gradutes across disciplines need an aptitude towards (STEM) in a future which is highly driven by Big Data, Artificial Intelligence, Machine Learning, etc,reports Shivangi Mishra
Futuristic organisations focus more on skills than on the degrees. The age is not far when college scores and transcripts will be redundant and jobs would be decided largely on the basis of one’s skills and intrinsic abilities.
In 2015, Ernst & Young dropped the requirement of a candidate having a college degree while recruiting. Many other organisations such as IBM and Google do not see the lack of college degree as a hindrance.
However, our education system continues to stick to the cycle of rote-learning. The classrooms focus on delivering monologues on subjects rather than correlating it to real-world examples and exercises, says Swati Mujumdar, vice president, Symbiosis Foundation and pro-chancellor, Symbiosis Skills Universities (Indore and Pune).
"A student can learn only when he gets hands- on training and experience. A diploma holder with some work experience will be a more suitable employee than an engineering graduate with no industry exposure," says Mujumdar while talking to Education Times.
“The world of tomorrow will respect industry-relevant skills because the industres need more productive workers,” says Mujumdar, underlining the need to upgrade the pedagogies.
Skill-based certifications are still looked down upon while college degrees take precedence. This outlook also needs to change. One way of doing this can be incentivising certifications and offering better pay scales to certificate holders, she says. Today, organisations are looking for individuals who possess life coping skills, problem solving and analytical skills in addition to technical skills specific to a sector or domain, adds Mujumdar. It is also true that students across discipline will have to adopt some aptitude towards Science, technology, engineering and mathematics(STEM) in a future which is highly driven by Big Data, Artificial Intelligence, Machine Learning, etc, she says.