Open Access

Research on the Innovation of College Students’ Employment Guidance Methods and Their Practical Effects in Higher Education Institutions under the Environment of Big Data

  
Mar 19, 2025

Cite
Download Cover

Mok, K. H., & Jiang, J. (2017). Massification of higher education: Challenges for admissions and graduate employment in China. Managing international connectivity, diversity of learning and changing labour markets: East Asian perspectives, 219-243. Mok K. H. Jiang J. ( 2017 ). Massification of higher education: Challenges for admissions and graduate employment in China . Managing international connectivity, diversity of learning and changing labour markets: East Asian perspectives , 219 - 243 . Search in Google Scholar

Ren, W. (2021, February). A study on college graduates’ employment problem in the context of big data based on the event of COVID-19. In Proceedings of the 2021 4th International Conference on Big Data and Education (pp. 88-91). Ren W. ( 2021 , February ). A study on college graduates’ employment problem in the context of big data based on the event of COVID-19 . In Proceedings of the 2021 4th International Conference on Big Data and Education (pp. 88 - 91 ). Search in Google Scholar

Wu, M., Hao, X., & Tian, Y. (2022, May). Employment management policies for college graduates under COVID-19 in China: diffusion characteristics and core issues. In Healthcare (Vol. 10, No. 5, p. 955). MDPI. Wu M. Hao X. Tian Y. ( 2022 , May ). Employment management policies for college graduates under COVID-19 in China: diffusion characteristics and core issues . In Healthcare (Vol. 10 , No. 5 , p. 955 ). MDPI . Search in Google Scholar

Guohua, Z., Yuelong, H., Wenwen, W., & Mensah, I. K. (2021). Employment flow of college graduates in China: City preference and group difference. Sage Open, 11(1), 2158244021998696. Guohua Z. Yuelong H. Wenwen W. Mensah I. K. ( 2021 ). Employment flow of college graduates in China: City preference and group difference . Sage Open , 11 ( 1 ), 2158244021998696 . Search in Google Scholar

Klarenbeek, L. M. (2021). Reconceptualising ‘integration as a two-way process’. Migration studies, 9(3), 902-921. Klarenbeek L. M. ( 2021 ). Reconceptualising ‘integration as a two-way process’ . Migration studies , 9 ( 3 ), 902 - 921 . Search in Google Scholar

Tang, S., & Sun, M. (2017, March). The Study of Modern College Students Employment Guidance Curriculum. In 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017) (pp. 1379-1383). Atlantis Press. Tang S. Sun M. ( 2017 , March ). The Study of Modern College Students Employment Guidance Curriculum . In 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017) (pp. 1379 - 1383 ). Atlantis Press . Search in Google Scholar

Li, P., & Deng, K. (2024). Integration Path of Employment Guidance for College Students Based on Internet of Things Education. Journal of Human Resource Development, 6(2), 155-165. Li P. Deng K. ( 2024 ). Integration Path of Employment Guidance for College Students Based on Internet of Things Education . Journal of Human Resource Development , 6 ( 2 ), 155 - 165 . Search in Google Scholar

Zhang, W. (2019). Research on the evaluation methods of the guidance and test on the student employment based on the computer model. In International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018: Applications and Techniques in Cyber Security and Intelligence (pp. 586-592). Springer International Publishing. Zhang W. ( 2019 ). Research on the evaluation methods of the guidance and test on the student employment based on the computer model . In International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018: Applications and Techniques in Cyber Security and Intelligence (pp. 586 - 592 ). Springer International Publishing . Search in Google Scholar

Wu, X. (2017, February). A Study on Establishment of Employment Guidance System of College students. In 2017 International Conference on Humanities Science, Management and Education Technology (HSMET 2017) (pp. 358-362). Atlantis Press. Wu X. ( 2017 , February ). A Study on Establishment of Employment Guidance System of College students . In 2017 International Conference on Humanities Science, Management and Education Technology (HSMET 2017) (pp. 358 - 362 ). Atlantis Press . Search in Google Scholar

Nie, L. (2023, August). College Students’ Career Prediction Model Based on Association Rule Mining Algorithm. In EAI International Conference, BigIoT-EDU (pp. 378-384). Cham: Springer Nature Switzerland. Nie L. ( 2023 , August ). College Students’ Career Prediction Model Based on Association Rule Mining Algorithm . In EAI International Conference, BigIoT-EDU (pp. 378 - 384 ). Cham : Springer Nature Switzerland . Search in Google Scholar

Ge, J. (2023, March). Analysis of the Innovation Mechanism and Implementation Effect of College Students’ Career Guidance Courses Based on Market Demand. In The International Conference on Artificial Intelligence and Logistics Engineering (pp. 822-832). Cham: Springer Nature Switzerland. Ge J. ( 2023 , March ). Analysis of the Innovation Mechanism and Implementation Effect of College Students’ Career Guidance Courses Based on Market Demand . In The International Conference on Artificial Intelligence and Logistics Engineering (pp. 822 - 832 ). Cham : Springer Nature Switzerland . Search in Google Scholar

Yan, X. (2024). Research on the Strategies for Improving College Students’ Career Adaptability from the Perspective of Big Data. Frontiers in Educational Research, 7(1). Yan X. ( 2024 ). Research on the Strategies for Improving College Students’ Career Adaptability from the Perspective of Big Data . Frontiers in Educational Research , 7 ( 1 ). Search in Google Scholar

Wang, Y., Yang, L., Wu, J., Song, Z., & Shi, L. (2022). Mining campus big data: Prediction of career choice using interpretable machine learning method. Mathematics, 10(8), 1289. Wang Y. Yang L. Wu J. Song Z. Shi L. ( 2022 ). Mining campus big data: Prediction of career choice using interpretable machine learning method . Mathematics , 10 ( 8 ), 1289 . Search in Google Scholar

EL HAJI, E., & Azmani, A. (2020). Proposal of a Digital Ecosystem Based on Big Data and Artificial Intelligence to Support Educational and Vocational Guidance. International Journal of Modern Education & Computer Science, 12(4). EL HAJI E. Azmani A. ( 2020 ). Proposal of a Digital Ecosystem Based on Big Data and Artificial Intelligence to Support Educational and Vocational Guidance . International Journal of Modern Education & Computer Science , 12 ( 4 ). Search in Google Scholar

Chen, L., & Jin, X. (2024). Exploring the Impact of College Students’ Future Time Insights on Career Decision-making Difficulties: A Big Data Technology-based Approach. Journal of Electrical Systems, 20(3), 410-419. Chen L. Jin X. ( 2024 ). Exploring the Impact of College Students’ Future Time Insights on Career Decision-making Difficulties: A Big Data Technology-based Approach . Journal of Electrical Systems , 20 ( 3 ), 410 - 419 . Search in Google Scholar

Dan, Y., & Li, M. (2022, December). SWOT analysis and strategies of high-quality career guidance education in universities in the context of big data. In 2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 1-4). IEEE. Dan Y. Li M. ( 2022 , December ). SWOT analysis and strategies of high-quality career guidance education in universities in the context of big data . In 2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 1 - 4 ). IEEE . Search in Google Scholar

Wang, L., & Bai, Y. (2022, August). Research on Career Guidance Course System based on Apriori Algorithm and Computer Big Data. In 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE) (pp. 136-140). IEEE. Wang L. Bai Y. ( 2022 , August ). Research on Career Guidance Course System based on Apriori Algorithm and Computer Big Data . In 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE) (pp. 136 - 140 ). IEEE . Search in Google Scholar

Yang, T. C., & Chang, C. Y. (2023). Using institutional data and messages on social media to predict the career decisions of university students-A data-driven approach. Education and Information Technologies, 28(1), 1117-1139. Yang T. C. Chang C. Y. ( 2023 ). Using institutional data and messages on social media to predict the career decisions of university students-A data-driven approach . Education and Information Technologies , 28 ( 1 ), 1117 - 1139 . Search in Google Scholar

Zhang, Y. (2024). Path of career planning and employment strategy based on deep learning in the information age. PloS one, 19(10), e0308654. Zhang Y. ( 2024 ). Path of career planning and employment strategy based on deep learning in the information age . PloS one , 19 ( 10 ), e0308654 . Search in Google Scholar

Zhang, N., & Wu, C. (2024). Application of deep learning in career planning and entrepreneurship of college students. Journal of Computational Methods in Science and Engineering, 24(4-5), 2927-2942. Zhang N. Wu C. ( 2024 ). Application of deep learning in career planning and entrepreneurship of college students . Journal of Computational Methods in Science and Engineering , 24 ( 4-5 ), 2927 - 2942 . Search in Google Scholar

Guo, J., & Qi, L. (2022). Visualization research of college students’ career planning paths integrating deep learning and big data. Mathematical Problems in Engineering, 2022(1), 6006968. Guo J. Qi L. ( 2022 ). Visualization research of college students’ career planning paths integrating deep learning and big data . Mathematical Problems in Engineering , 2022 ( 1 ), 6006968 . Search in Google Scholar

Sanaz Shabankhah,Mohammadhossein Afrazeh,Abbas Afrazeh & Akbar Esfahanipour. (2024). An Intellectual Capital Risk Measurement Model Using Bayesian Network. Journal of the Knowledge Economy(prepublish),1-33. Sanaz Shabankhah Mohammadhossein Afrazeh Abbas Afrazeh Akbar Esfahanipour ( 2024 ). An Intellectual Capital Risk Measurement Model Using Bayesian Network . Journal of the Knowledge Economy(prepublish) , 1 - 33 . Search in Google Scholar

Hannah Farisha binti Haidi,Ruzi binti Bachok,Md Gapar Md Johar & Mohammed Hazim Alkawaz. (2018). Student’S activity management system using qr code and C4.5 algorithm. International Journal of Medical Toxicology & Legal Medicine(3and4),105-107. Hannah Farisha binti Haidi Ruzi binti Bachok Md Gapar Md Johar Mohammed Hazim Alkawaz ( 2018 ). Student’S activity management system using qr code and C4.5 algorithm . International Journal of Medical Toxicology & Legal Medicine(3and4) , 105 - 107 . Search in Google Scholar

Borri Alessandro,Carravetta Francesco & Palumbo Pasquale. (2023). Quadratized Taylor series methods for ODE numerical integration. Applied Mathematics and Computation. Borri Alessandro Carravetta Francesco Palumbo Pasquale ( 2023 ). Quadratized Taylor series methods for ODE numerical integration . Applied Mathematics and Computation . Search in Google Scholar

Osobonye G T,Adekanmbi M,Ikot A N,Okorie U S & Rampho G J. (2021). Thermal properties of anharmonic Eckart potential model using Euler–MacLaurin formula. Pramana(3). Osobonye G T Adekanmbi M Ikot A N Okorie U S Rampho G J ( 2021 ). Thermal properties of anharmonic Eckart potential model using Euler–MacLaurin formula . Pramana(3) . Search in Google Scholar

Özdemir Güler Zümre & Bakır Mehmet Akif. (2022). Detection and identification of mean shift using independent component analysis in multivariate processes. Journal of Statistical Computation and Simulation(9),1920-1940. Özdemir Güler Zümre Bakır Mehmet Akif ( 2022 ). Detection and identification of mean shift using independent component analysis in multivariate processes . Journal of Statistical Computation and Simulation(9) , 1920 - 1940 . Search in Google Scholar

Language:
English