Abstract
Outcome-based education (OBE) is one of the student-centric teaching and learning methodology. The primary objective of the outcome-based education is measuring the student performance through outcomes. Course outcome (CO) reflects the abilities of what a student can do at the end of a course. Assessment of learning outcome is one of the key aspects of teaching-learning process. The attainment of course outcome will be used to improve the teaching, learning process and to evaluate the student’s performance in that course. In this paper, we propose a new student recruitment system to identify the best students based on their Course Outcome attainment. We apply the text mining concept in this teaching learning process to find the best student list based on the recruiter query. The student recruitment process involved with many parameters like technical skill and analytical skill. The quality of the student’s technical skill can be measured by his/her performance in the CO attainment of a particular course or program. This proposed method utilizes data obtained from student’s marks in end semester exams, test, project and other formal assessments.
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Notes
NLTK:https://nlp.stanford.edu/software/tagger.shtml
dataset:http://mepcoeng.ac.in/academics/Syllabus.aspx
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Acknowledgements
We would like to thank the anonymous reviewers for their helpful comments and advice in improving this work. Also, we would like to thank the Management and Principal of Mepco Schlenk Engineering College (Autonomous), Sivakasi for providing us the state of art facilities to carry out this proposed research work in the Mepco Research Centre in collaboration with Anna University Chennai, Tamil Nadu, India.
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Thirumoorthy, K., Muneeswaran, K. An application of text mining techniques and outcome based education: student recruitment system. J Ambient Intell Human Comput 14, 1359–1371 (2023). https://doi.org/10.1007/s12652-021-03162-4
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DOI: https://doi.org/10.1007/s12652-021-03162-4