International Journal of Education and Management Engineering (IJEME)
IJEME Vol. 10, No. 4, 8 Aug. 2020
Cover page and Table of Contents: PDF (size: 645KB)
Fuzzy K-Nearest Neighbour Model for Choice of Career Path for Upper Basic School Students
Full Text (PDF, 645KB), PP.18-32
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Author(s)
Index Terms
Career path, decision support model, fuzzy logic, fuzzy K-nearest neighbor
Abstract
Many students are faced with the challenge of deciding on a suitable career path. This is because decisions are characterized by a number of subjective judgements. Therefore, choosing a particular career path without first determining the suitability of a student, as a fundamental step, will yield an undesirable outcome. This paper aims at developing a career path decision making model for senior secondary schools. The concept of fuzzy logic was used in developing the model. Crisp sets are converted to fuzzy sets using fuzzy K- nearest neighbour algorithm method. The model was implemented in the MATLAB environment. The performance of the model was evaluated using specificity and accuracy as performance metrics. The results obtained showed the model has accuracy value of 90.22%. This result show that the model is approximately 90% accurate. Also, it has a specificity value of 96.97%. These results show that the model provides a good support for decision making while eliminating the challenges of indecision and floundering that are characterized with choosing a career path among upper basic school students, that is, Junior Secondary School students. The model will also serve as a tool in enhancing the work of career experts.
Cite This Paper
Awoyelu I.O., Oguntoyinbo E. O., Awoyelu T. M., " Fuzzy K-Nearest Neighbour Model for Choice of Career Path for Upper Basic School Students ", International Journal of Education and Management Engineering (IJEME), Vol.10, No.4, pp.18-32, 2020. DOI: 10.5815/ijeme.2020.04.03
Reference
[1]Ezeani, N. (2013). Career Choice: A Basic Issue in Primary and Secondary School Level. Arabian Journal of Business and Management Review (Nigerian chapter), 1 (2): 18-28.
[2]Gati, I. and Asher, B. (2001). Differential Diagnosis and Treatment of Career Indecision. Personal and Guidance Journal, 62 (1): 27-29.
[3]Razak, T., Hashim, M., Noor, N., Hazwam, I., and Halim, A. (2014). Career Path Recommendation System for UiTM Perlis Students Using Fuzzy Logic. 5th International conference on Intelligent and Advanced Systems, pp 1-6.
[4]Bandura, A., Barbaranelli, C., Caprara, G., and Pastorelli, C. (2001). Self–efficacy Beliefs as Shapers of Children’s Aspirations and Career Trajectories. Child Development, 72: 187–206.
[5]Balogun, V. and Thompson, A. (2009). Career Master: A Decision Support System for Guidance and Counseling, The Pacific Journal of Science and Technology, 10(2): 337–354.
[6]Otta, F. and Njoku, O. (2012). Self-Concept and Vocational Interest among Secondary School Students
[7](Adolescents). Asian Journal of Social Sciences & Humanities, 1(4): 37-48.
[8]Abisoye, O., Alabi, I., Ganiyu, O., Abisoye, O., and Omokore, J. (2015). A Web-Based Career Guidance Information System for Pre-Tertiary Institution Students in Nigeria. International Journal of Scientific Research in Science, Engineering and Technology, (IJSRSET), 1(3): 229-240.
[9]Issa, A. and Nwalo, K. (2008). Factors Affecting the Career Choice of Undergraduates in Nigerian Library and Information Science Schools. African Journal of Library, Archives and Information Science, 18(1): 23-31.
[10]Ezeani, N. (2013). Career Choice: A Basic Issue in Primary and Secondary School Level. Arabian Journal of Business and Management Review (Nigerian chapter), 1 (2): 18-28.
[11]Anigbogu, M.A. (1988). Foundation of Guidance and Counselling. Enugu: Academic Publishing Co.
[12]Uba, E. (1997). The Factors Affecting Career Attitude Maturity of Senior Secondary School Students in Nnewi Education Zone of Anambra State. Unpublished M.Ed. Dissertation submitted to Nnamdi Azikiwe University, Awka.
[13]Osuala, E. (1987). Principles and Practice of Business Education. Uruowulu- Obosi: Pacific publishers.
[14]Ogunlade, J. and Akeredolu, S. (2012). Influence of Counselling on Career Preference among Secondary School Students in Ekiti State, Nigeria. Journal of Sociology, Psychology and Anthropology in Practice, 4 (3): 26-30.
[15]Gati, I., Saka, N., and Krausz, M. (2001). Should I Use a Computer-assisted Career Guidance System? It Depends on Where Your Career Decision-making Difficulties Lie. British Journal of Guidance & Counselling, 29(3): 301–321.
[16]Kelechie, L. and Ihuoma, C. (2011). The Role of Guidance Counsellors in the Career Development of Adolescent and Young Adult with Special Needs. British Journal of Arts and Social Sciences, 2(1): 51-62.
[17]Kinanee, B. (2009). Factors in the Career Decision-making of Nurses in Rivers State of Nigeria: Implications for Counseling. Journal of Psychology and Counseling, 1(8):134-138.
[18]Emilio, J. and Luis, M. (2009). A Web-Decision Support System based on Collaborative Filtering for Academic Orientation: Case Study of the Spanish Secondary School. Journal of Universal Computer Science, 15(14): 2786-2807.
[19]Aslam, M. and Khan, A. (2011). A Proposed Decision Support System / Expert System for Guiding Fresh Students in Selecting a Faculty in Gomal University, Ind. Eng. Lett. 1(4): 33–41.
[20]Zhengxin, C. (2000). Computational Intelligence for Decision Support. Florida: CRC press.
[21]Kostoglou, V., Ploskas, N.,Vassilakopoulos, M., and Tsantopoulou, V. (2014). Analysis and Design of a web-based decision support system for choosing higher education studies. Yugoslav Journal of Operations Research, 24 (3): 399-414.
[22]Oladokun, V. and Oyewole, D. (2015). A Fuzzy Inference based Decision Support System for Solving the University-Course Admission Choice Problem. International Journal of Computer Applications, 112 (3): 1-7.
[23]Macwan, N. and Sajja, S. (2014). Fuzzy Logic: An Effective User Interface Tool for Decision Support System. International Journal of Engineering Science and Innovative Technology (IJESIT), 3 (3): 278-283.