A STATISTICAL APPROACH TOWARDS IMPROVING VIRTUAL INTERNSHIP EXPERIENCE
Journal: International Journal of Management (IJM) (Vol.11, No. 11)Publication Date: 2020-11-30
Authors : Anwesha Jena Parth Kansara Maniti Shah;
Page : 468-476
Keywords : virtual internship; data analysis; learning design; feature importance; statistical analysis;
Abstract
First-hand industry exposure in terms of internships is becoming fairly common among students of all fields of education. It allows students to gain insights about a particular job role, a particular company and its work culture along with a plethora of learning and networking opportunities. Lately, in lieu of social distancing and remote work culture taking over, virtual internships are replacing the traditional ones. However, the efficacy of a virtual internship needs to be thoroughly examined. Through this paper, we aim to highlight the various challenges that exist in a virtual internship, that need to be overcome to ensure a successful experience for the students. A survey conducted for the scope of this paper bolsters the claims made by the authors and various data analysis tools are used to generate insights into the same. Based on this, an effective model is proposed which takes into account all the key challenges faced by the students and ensures a virtual internship experience that is fruitful for both, the students and the company itself
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