Quantitative assessment of information technology support in higher education management systems for student employability enhancement

[1]Raman, R., & Pramod, D. (2022). The role of predictive analytics to explain the employability of management graduates. Benchmarking: An International Journal, 29(8), 2378-2396.Search in Google Scholar

[2]Shenoy, S. S., & Shailashri, V. T. (2023). Impact of Skill Enhancement Training on Quality of Work Life–A Review. International Journal of Case Studies in Business, IT and Education (IJCSBE), 7(1), 74-94.Search in Google Scholar

[3]Gowsalya, G., & Kumar, M. (2015). Employability skill: A literature review. International Journal of Advance Research in Computer Science and Management Studies, 3(3).Search in Google Scholar

[4]Casuat, C. D., Festijo, E. D., & Alon, A. S. (2020). Predicting students’ employability using support vector machine: a smote-optimized machine learning system. International Journal, 8(5), 2101-2106.Search in Google Scholar

[5]Patro, C., & Pan, I. (2021). Decision tree-based classification model to predict student employability. In Proceedings of Research and Applications in Artificial Intelligence: RAAI 2020 (pp. 327-333). Springer Singapore.Search in Google Scholar

[6]Garcia, J. A., & Murcia, J. V. (2023). Comparison of Supervised Machine Learning Approaches in Predicting Employability of Students. Business and Organization Studies e-Journal, 1(1), 121-139.Search in Google Scholar

[7]Taeza-Cruz, M. E. L., & Capili-Kummer, M. G. (2023). Decision Support System to Enhance Students’ Employability using Data Mining Techniques for Higher Education Institutions. International Journal of Computing and Digital Systems.Search in Google Scholar

[8]Green, N., Liu, M., & Murphy, D. (2020). Using an Electronic Resume Analyzer Portal (eRAP) to Improve College Graduates Employability. Information Systems Education Journal, 18(3), 28-37.Search in Google Scholar

[9]Metilda, R. M., & Neena, P. C. (2017). Impact of digital technology on learning to enhance the employability skills of business management graduates. The online Journal of distance Education and E-Learning, 5(2), 35-41.Search in Google Scholar

[10]Nathan, S. K., & Rajamanoharane, S. (2016). Enhancement of skills through e-learning: prospects and problems. The Online Journal of Distance Education and e‐Learning, 4(3), 24.Search in Google Scholar

[11]Patil, A. K., Chavan, P. C., & Patil, S. C. S. D. (2023). Enhancement in Student Employability by Providing Internship and Project Track. Journal of Engineering Education Transformations, 36(Special Issue 2).Search in Google Scholar

[12]Tian, J., & He, G. (2024). Research on innovative teaching to enhance the employability of college students based on the “five Links and Six steps” method. Ain Shams Engineering Journal, 15(5), 102677.Search in Google Scholar

[13]Tang, Y. (2023). Research on the Current Situation and Enhancement Strategies of Employability of General College Graduates. Journal of Education and Educational Research, 5(2), 15-18.Search in Google Scholar

[14]Cruz, M. E. L. T., & Encarnacıon, R. E. (2021). Analysis and prediction of students’ academic performance and employability using data mining techniques: A research travelogue. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 16, 117-131.Search in Google Scholar

[15]Thakar, P., & Mehta, A. (2017). A unified model of clustering and classification to improve students’ employability prediction. International Journal of Intelligent Systems and Applications, 9(9), 10.Search in Google Scholar

[16]Wang, Y. (2024). Prediction of Student Employability through Internship based on Big Data Analysis. Journal of Electrical Systems, 20(3s), 2749-2761.Search in Google Scholar

[17]Mezhoudi, N., Alghamdi, R., Aljunaid, R., Krichna, G., & Düştegör, D. (2023). Employability prediction: a survey of current approaches, research challenges and applications. Journal of Ambient Intelligence and Humanized Computing, 14(3), 1489-1505.Search in Google Scholar

[18]Bai, A., & Hira, S. (2021). An intelligent hybrid deep belief network model for predicting students employability. Soft Computing, 25(14), 9241-9254.Search in Google Scholar

[19]Saini, B., Mahajan, G., & Sharma, H. (2021, March). An analytical approach to predict employability status of students. In IOP conference series: materials science and engineering (Vol. 1099, No. 1, p. 012007). IOP Publishing.Search in Google Scholar

[20]Saidani, O., Menzli, L. J., Ksibi, A., Alturki, N., & Alluhaidan, A. S. (2022). Predicting student employability through the internship context using gradient boosting models. Ieee Access, 10, 46472-46489.Search in Google Scholar

[21]He, S., Li, X., & Chen, J. (2021, May). Application of data mining in predicting college graduates employment. In 2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD) (pp. 65-69). IEEE.Search in Google Scholar

[22]Zhang, Y. C., Zhang, Y., Xiong, X. L., Liu, J. B., & Zhai, R. B. (2022). An empirical study on the improvement of college students’ employability based on university factors. Frontiers in Psychology, 13, 793492.Search in Google Scholar

[23]Shen, J. (2023). A bilateral employment situation prediction model for college students using GCN and LSTM. PeerJ Computer Science, 9, e1494.Search in Google Scholar

[24]Xi, C., Xiao, M., Wu, L., & Cui, H. (2023). Evaluation of college students’ entrepreneurial employability improvement based on machine learning neural network. REVIEWS OF ADHESION AND ADHESIVES, 11(2).Search in Google Scholar

[25]Brinker Nils. (2024). Identification and demarcation—A general definition and method to address information technology in European IT security law.Computer Law & Security Review. The International Journal of Technology Law and Practice105927-.Search in Google Scholar

[26]Pepper Ian,Rogers Colin,Turner James,Louis Nick & Williams Bronwen. (2024). Enabling student employability through volunteering: insights from police volunteers studying professional policing degrees in Wales. Higher Education, Skills and Work-Based Learning(5),1135-1148.Search in Google Scholar

[27]Santos Devisson Mesquita dos,Lopes Fernanda Leandra Leal,Melo André Cristiano Silva,Nunes Denilson Ricardo de Lucena,Rampasso Izabela Simon & Martins Vitor William Batista. (2024). How to promote resilience in the supply chain in the context of COVID-19? An exploratory study using the Delphi method. Modern Supply Chain Research and Applications(3),303-329.Search in Google Scholar

[28]Mobin Saremi,Abbas Maghsoudi,Zohre Hoseinzade & Ahmad Reza Mokhtari. (2024). Data-driven AHP: a novel method for porphyry copper prospectivity mapping in the Varzaghan District, NW Iran. Earth Science Informatics(prepublish),1-16.Search in Google Scholar

[29]Yang Liu,Mingqiang Hao,Ran Bi,Chaoliang Bian & Xiaoqing Wang. (2024). Research on Gas Channeling Identification Using the Fuzzy Comprehensive Evaluation Method. Energies(16),3908-3908.Search in Google Scholar