Conference paper 2022

Text mining and Statistical Analysis based study on the effectiveness of Work Integrated Learning Program: Evidence from industry-academia collaboration between SAP Labs and BITS Pilani

ACM International Conference Proceeding Series
Conference · Art. 98
Abstract

The industry and academia need to work for bridge the gap between two of them. The significance of this is acknowledged widely in the industry as well as in academics, which has led to the birth of many collaborative education programs between the industry and academic institutions. While the intent of creating these partnerships is very noble, the extent to which they have been successful needs to be continuously measured. This study evaluates the performance of one such collaborative education program that was offered for the employees of SAP Labs, an ERP solutions provider by Birla Institute of Technology and Science- Pilani, a leading university in India. It collates and analyses the 360-degree feedback from the students, the alumni, the faculty, and the organization, through text mining and statistical analysis. It concludes that such Work Integrated Learning Program collaborations can produce significant benefits for both- the industry and the academia. Vaders Sentiment Analysis and Transformer have been used to sense the feeling of the alumni after pre-processing of text data and the word cloud has been generated. © 2022 ACM.

Keywords

Author Keywords

work integrated learning industry-academia collaboration Learning by doing 360-degree feedback kinesthetic learning workforce upskilling

Index Keywords

Personnel Learning projects Work-integrated learning Data mining Collaborative education Sentiment analysis Statistical methods Learning-by-doing Text-mining Data handling Industry-academia collaboration 360-degree feedback Kinesthetic learning Kinesthetics Workforce upskilling
Author Affiliations
Birla Institute of Technology, Pilani, RJ, India
Funding & Acknowledgements
No funding information
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