The method of cultivating employability of computer majors in colleges and universities based on data mining

Abstract

Employability is a set of achievements – skills, understandings, and personal attributes – that makes graduate students more going to benefit from work. It well values it for several students to get a degree in computer science. For decades, traditional information sources and methodologies were too expensive and cumbersome to obtain the finer details of learning processes that digital trace amounts of student behavior could provide, and decision-making skills are the basic challenges. Hence the proposed model Amalgamation of Computer Majors based on Data Mining (ACM-DM) is employed to satisfy the challenges discussed above. Training investigators in instructional data science methodologies and balancing the need to protect personal information with sharing data are challenges. As a result, the proposed model helps achieve data, performance, accuracy, interoperability, and security analysis compared to other majors if included in colleges based on data mining.

KEYWORDS:

• Data mining
• education
• computer
• employment
• evaluation

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Wei Wang

Wei Wang was born in October 1981, female, lecturer. She graduated from Inner Mongolia Normal University in June 2004 with Bachelor of Arts; She graduated from Inner Mongolia Normal University in June 2011 with Master of Education. She currently works in Inner Mongolia Vocational College of Chemical Engineering. Her research direction is career planning and employment and entrepreneurship guidance for college students. She has published 4 papers and participated in 4 scientific research projects.