Career Guidance Application: A Digital Approach to Career Planning for Secondary Level Students

Dini Shiba S.*, Sharwin Xavier R.**, Sherin Sneha J.***, Shobana G.****
*-**** Department of Information Technology, Loyola-ICAM College of Engineering and Technology, Chennai, Tamil Nadu, India.
Periodicity:September - November'2022
DOI : https://doi.org/10.26634/jsch.18.2.19253

Abstract

The growing number of educational options and job opportunities has made career planning increasingly complex and uncertain. To help students navigate these choices, this paper introduces Career Guidance Application (CGA), a tool designed to assist secondary level students (grades 9-12) in selecting their field of study based on their academic and professional interests. CGA provides access to information on subjects that lead to specific career paths, recommended higher education institutions, necessary entrance exams, available aptitude tests, and how to access them. Additionally, it offers a comprehensive career counseling process that includes social, financial, and personal considerations. The implementation of CGA is expected to reduce school and university dropout rates.

Keywords

Career Guidance, Career Planning, Career Counselling, Educational Institutions, Job Opportunities.

How to Cite this Article?

Shiba, S. D., Xavier, R. S., Sneha, J. S., and Shobana, G. (2022). Career Guidance Application: A Digital Approach to Career Planning for Secondary Level Students. i-manager’s Journal on School Educational Technology, 18(2), 29-36. https://doi.org/10.26634/jsch.18.2.19253

References

[1]. Antony, J., Ramakrishnan, S., Joy, M. T., & Thottupuram, R. (2012, July). Sms based e-assessments enabling better student engagement, evaluation and recommendation services in e-learning making use of fuzzy rules and course ontologies. In 2012 IEEE Fourth International Conference on Technology for Education (pp. 119-125). IEEE. https://doi.org/10.1109/T4E.2012.9
[2]. Bhandari, P., Withana, C., Alsadoon, A., & Elchouemi, A. (2015, October). Enhanced Apriori Algorithm model in course suggestion system. In 2015 International Conference and Workshop on Computing and Communication (IEMCON) (pp. 1-5). IEEE. https://doi.org/10.1109/IEMCON.2015.7344527
[3]. Chakrabarty, R. (2019). 93% Indian Students Aware of Just Seven Career Options: What are Parents Doing Wrong? Retrieved from https://www.indiatoday.in/education-today/news/story/93-indian-st udents-awareof-just-seven-career-options-what-are-parents-doingwrong-1446205-2019-02-04
[4]. Comendador, B. E. V., Becbec, W. F. C., & Guzman, J. R. P. D. (2020). Implementation of fuzzy logic technique in a decision support tool: Basis for choosing appropriate career path. International Journal of Machine Learning and Computing, 10(2), 339-345. https://doi.org/10.18178/ijmlc.2020.10.2.940
[5]. Fang, P., & Zheng, S. (2009, November). A research on fuzzy formal concept analysis based collaborative filtering recommendation system. In 2009 Second International Symposium on Knowledge Acquisition and Modeling (Vol. 3, pp. 352-355). IEEE. https://doi.org/10.1109/KAM.2009.40
[6]. Ganeshan, K., & Li, X. (2015, October). An intelligent student advising system using collaborative filtering. In 2015 IEEE Frontiers in Education Conference (FIE) (pp. 1-8). IEEE.
[7]. Gulzar, Z., Leema, A. A., & Deepak, G. (2018). PCRS: Personalized course recommender system based on hybrid approach. Procedia Computer Science, 125, 518-524. https://doi.org/10.1016/j.procs.2017.12.067
[8]. India Today Web Desk. (2022). The Need for a Structured Approach to Career Guidance Among Youngsters. Retrieved from https://www.indiatoday.in/education-today/featurephilia/stor y/the-need-for-astructured-approach-to-career-guidance-amongyoungsters-2286196-2022-10-17
[9]. Laguador, J. M. (2014). Examination of influence and intention towards Lyceum of the Philippines University and career choice of general engineering students. International Journal of Management Sciences, 3(11), 847-855.
[10]. Meryem, G., Douzi, K., & Chantit, S. (2016, October). Toward an E-orientation platform: Using hybrid recommendation systems. In 2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA) (pp. 1-6). IEEE. https://doi.org/10.1109/SITA.2016.7772305
[11]. Natividad, M. C. B., Gerardo, B. D., & Medina, R. P. (2019, February). A fuzzy-based career recommender system for senior high school students in K to 12 education. In IOP Conference Series: Materials Science and Engineering (Vol. 482, No. 1, p. 012025). IOP Publishing. https://doi.org/10.1088/1757-899X/482/1/012025
[12]. Olamide, S. O., & Olawaiye, S. O. (2013). The factors determining the choice of career among secondary school students. The International Journal of Engineering and Science, 2(6), 33-44.
[13]. Pallavi, M. S., Vaisakh, P., & Reshna, N. P. (2016, March). Implementation of RETE algorithm using course finder system. In 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE) (pp. 96-100). IEEE. https://doi.org/10.1109/SAPIENCE.2016.7684165
[14]. Rahman, M. M., & Abdullah, N. A. (2018). A personalized group-based recommendation approach for Web search in E-learning. IEEE Access, 6, 34166-34178. https://doi.org/10.1109/ACCESS.2018.2850376
[15]. Razak, T. R., Hashim, M. A., Noor, N. M., Abd Halim, I. H., & Shamsul, N. F. F. (2014, June). Career path recommendation system for UiTM Perlis students using fuzzy logic. In 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS) (pp. 1-5). IEEE. https://doi.org/10.1109/ICIAS.2014.6869553
[16]. Regha, R. S., & Rani, R. U. (2016). Optimization feature selection for classifying student in educational data mining. International Journal of Innovations in Engineering and Technology (IJIET), 7(4), 490-496.
[17]. Shanmugarajeshwari, V., & Lawrance, R. (2016, January). Analysis of students' performance evaluation using classification techniques. In 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) (pp. 1-7). IEEE. https://doi.org/10.1109/ICCTIDE.2016.7725375
[18]. Upendran, D., Chatterjee, S., Sindhumol, S., & Bijlani, K. (2016). Application of predictive analytics in intelligent course recommendation. Procedia Computer Science, 93, 917-923. https://doi.org/10.1016/j.procs.2016.07.267
[19]. Verma, P., Sood, S. K., & Kalra, S. (2017). Student career path recommendation in engineering stream based on three dimensional model. Computer Applications in Engineering Education, 25(4), 578-593. https://doi.org/10.1002/cae.21822
[20]. Waghmode, M. L., & Jamsandekar, P. P. (2015). A study of expert system for career selection: Literature review. International Journal of Advanced Research in Computer Science and Software Engineering, 5, 779-785.
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