000			a
999			_c17383 _d17383
003			OSt
005			20220901160530.0
008			220901b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_917624 _aAngara, Jayasri
245			_aFactors drving career planning and mentoring in four year UG engineering education using ML techniques
250			_aVoll,35(4), April
260			_aPune _bEngineering Education Foundation _c2022
300			_a59-71p
520			_aCareer planning is a continuous process of evaluating individual career goals through self -assessment,market research and objectively meeting the goals through continuous learning.in the context of industry 4.0,career planning is not just limited to working professionals,but also plays a major role for the professional engineering students. mentoring becomes a solid supporting prop to reach these goals systematically. it requires a philosophy, proper design of methodology. and organization structure. this study explores various factors driving career planning and mentoring in four year U G engineering education.in this context, authors conducted literature survey on 171 students to understand various factors, skill levels needed in designing career planning model and proposed mentoring model using Machine Learning Techniques (k-Means Clustering Algorithm). Further, authors surveyed 1525 students to understand career aspirations, designed Center for Career Planning organization and experimenting this model in a leading private group engineering college.
650		0	_94642 _aHumanities and Applied Sciences
700			_917625 _aSaripalle, Ravi
773	0		_x2349-2473 _dSangli Rajarambapu Institute Of Technology _tJournal of engineering education transformations (JEET)
856			_uhttps://journaleet.in/articles/the-factors-driving-career-planning-and-mentoring-in-four-year-ug-engineering-education-using-ml-techniques _yClick heare
942			_2ddc _cAR