Publication Type : Conference Paper
Thematic Areas : Amrita e-Learning Research Lab
Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Source : 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Institute of Electrical and Electronics Engineers Inc. (2017)
ISBN : 9781509063673
Keywords : Assessment, Competency, Concepts, Job competency, Knowledge representation, Personalized feedback, Placement, Placement process, Student placements, Students
Campus : Amritapuri
School : School of Engineering
Center : E-Learning
Department : Electrical and Electronics
Verified : Yes
Year : 2017
Abstract : Identifying students' eligibility for a specific job is crucial even before commencement of the Job? Placement process. In this study, a tailored method has been proposed to generate a personalized job competency profile. First, the domain competencies are identified for a specific job. Secondly, the job competency score is calculated based on students' past performances, pertinent to the relevant domain competencies. Students with low scores can review their results with the personalized feedback. This should help student improve his/her skill in the required area to attempt the domain tests. With this improved scores, the students become eligible to participate in the placement process for a specific job. The domain tests will provide the score for each concept and the student can identify the gaps in their knowledge.
Cite this Research Publication : M. D. Soumya, Sugathan, T., and Kamal Bijlani, “Improve Student Placement using Job Competency Modeling and Personalized Feedback”, in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, 2017.