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Data mining and neural network modeling for teaching and learning in vocational education: promoting innovation in academic management and teaching reforms

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19 mar 2025

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Mengash, H. A. (2020). Using data mining techniques to predict student performance to support decision making in university admission systems. Ieee Access, 8, 55462-55470. Mengash H. A. ( 2020 ). Using data mining techniques to predict student performance to support decision making in university admission systems . Ieee Access , 8 , 55462 - 55470 . Search in Google Scholar

Dutt, A., Ismail, M. A., & Herawan, T. (2017). A systematic review on educational data mining. Ieee Access, 5, 15991-16005. Dutt A. Ismail M. A. Herawan T. ( 2017 ). A systematic review on educational data mining . Ieee Access , 5 , 15991 - 16005 . Search in Google Scholar

Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019). Educational data mining and learning analytics for 21st century higher education: A review and synthesis. Telematics and Informatics, 37, 13-49. Aldowah H. Al-Samarraie H. Fauzy W. M. ( 2019 ). Educational data mining and learning analytics for 21st century higher education: A review and synthesis . Telematics and Informatics , 37 , 13 - 49 . Search in Google Scholar

Abu Saa, A., Al-Emran, M., & Shaalan, K. (2019). Factors affecting students’ performance in higher education: a systematic review of predictive data mining techniques. Technology, Knowledge and Learning, 24(4), 567-598. Abu Saa A. Al-Emran M. Shaalan K. ( 2019 ). Factors affecting students’ performance in higher education: a systematic review of predictive data mining techniques . Technology, Knowledge and Learning , 24 ( 4 ), 567 - 598 . Search in Google Scholar

Asif, R., Merceron, A., Ali, S. A., & Haider, N. G. (2017). Analyzing undergraduate students’ performance using educational data mining. Computers & education, 113, 177-194. Asif R. Merceron A. Ali S. A. Haider N. G. ( 2017 ). Analyzing undergraduate students’ performance using educational data mining . Computers & education , 113 , 177 - 194 . Search in Google Scholar

Krismadinata, U. V., Jalinus, N., Rizal, F., Sukardi, P. S., Ramadhani, D., Lubis, A. L., & Novaliendry, D. (2020). Blended learning as instructional model in vocational education: literature review. Universal Journal of Educational Research, 8(11B), 5801-5815. Krismadinata U. V. Jalinus N. Rizal F. Sukardi P. S. Ramadhani D. Lubis A. L. Novaliendry D. ( 2020 ). Blended learning as instructional model in vocational education: literature review . Universal Journal of Educational Research , 8 ( 11B ), 5801 - 5815 . Search in Google Scholar

Quesada-Pallarès, C., Sánchez-Martí, A., Ciraso-Calí, A., & Pineda-Herrero, P. (2019). Online vs. classroom learning: Examining motivational and self-regulated learning strategies among vocational education and training students. Frontiers in psychology, 10, 2795. Quesada-Pallarès C. Sánchez-Martí A. Ciraso-Calí A. Pineda-Herrero P. ( 2019 ). Online vs . classroom learning: Examining motivational and self-regulated learning strategies among vocational education and training students. Frontiers in psychology , 10 , 2795 . Search in Google Scholar

Bolli, T., Caves, K. M., Renold, U., & Buergi, J. (2018). Beyond employer engagement: measuring education-employment linkage in vocational education and training programmes. Journal of Vocational Education & Training, 70(4), 524-563. Bolli T. Caves K. M. Renold U. Buergi J. ( 2018 ). Beyond employer engagement: measuring education-employment linkage in vocational education and training programmes . Journal of Vocational Education & Training , 70 ( 4 ), 524 - 563 . Search in Google Scholar

Baartman, L., & Gulikers, J. (2017). Assessment in Dutch vocational education: Overview and tensions of the past 15 years. Enhancing teaching and learning in the Dutch vocational education system: Reforms enacted, 245-266. Baartman L. Gulikers J. ( 2017 ). Assessment in Dutch vocational education: Overview and tensions of the past 15 years . Enhancing teaching and learning in the Dutch vocational education system: Reforms enacted , 245 - 266 . Search in Google Scholar

Deutscher, V., & Winther, E. (2018). Instructional sensitivity in vocational education. Learning and instruction, 53, 21-33. Deutscher V. Winther E. ( 2018 ). Instructional sensitivity in vocational education . Learning and instruction , 53 , 21 - 33 . Search in Google Scholar

Ai, L., & Feng, T. (2022). Application of BP neural network in teaching quality evaluation of higher vocational education. Mobile Information Systems, 2022(1), 8644276. Ai L. Feng T. ( 2022 ). Application of BP neural network in teaching quality evaluation of higher vocational education . Mobile Information Systems , 2022 ( 1 ), 8644276 . Search in Google Scholar

Kalkan, Ö. K., & Coşguner, T. (2021). Evaluation of the academic achievement of vocational school of higher education students through artificial neural networks. Gazi University Journal of Science, 1-1. Kalkan Ö. K. Coşguner T. ( 2021 ). Evaluation of the academic achievement of vocational school of higher education students through artificial neural networks . Gazi University Journal of Science , 1 - 1 . Search in Google Scholar

Özkan, U. B., Cigdem, H., & Erdogan, T. (2020). Artificial neural network approach to predict lms acceptance of vocational school students. Turkish Online Journal of Distance Education, 21(3), 156-169. Özkan U. B. Cigdem H. Erdogan T. ( 2020 ). Artificial neural network approach to predict lms acceptance of vocational school students . Turkish Online Journal of Distance Education , 21 ( 3 ), 156 - 169 . Search in Google Scholar

Kang, D., & Zhang, B. (2022). The feasibility of practical vocational education in higher education institutions. International Journal of Emerging Technologies in Learning (iJET), 17(14), 94-108. Kang D. Zhang B. ( 2022 ). The feasibility of practical vocational education in higher education institutions . International Journal of Emerging Technologies in Learning (iJET) , 17 ( 14 ), 94 - 108 . Search in Google Scholar

Kumar, M. G. V., N, V., Čepová, L., Raja, M. A. M., Balaram, A., & Elangovan, M. (2023). Evaluation of the quality of practical teaching of agricultural higher vocational courses based on BP neural network. Applied Sciences, 13(2), 1180. Kumar M. G. V. N V. Čepová L. Raja M. A. M. Balaram A. Elangovan M. ( 2023 ). Evaluation of the quality of practical teaching of agricultural higher vocational courses based on BP neural network . Applied Sciences , 13 ( 2 ), 1180 . Search in Google Scholar

Okewu, E., Adewole, P., Misra, S., Maskeliunas, R., & Damasevicius, R. (2021). Artificial neural networks for educational data mining in higher education: A systematic literature review. Applied Artificial Intelligence, 35(13), 983-1021. Okewu E. Adewole P. Misra S. Maskeliunas R. Damasevicius R. ( 2021 ). Artificial neural networks for educational data mining in higher education: A systematic literature review . Applied Artificial Intelligence , 35 ( 13 ), 983 - 1021 . Search in Google Scholar

Altaf, S., Soomro, W., & Rawi, M. I. M. (2019, April). Student performance prediction using multi-layers artificial neural networks: A case study on educational data mining. In Proceedings of the 2019 3rd International Conference on Information System and Data Mining (pp. 59-64). Altaf S. Soomro W. Rawi M. I. M. ( 2019 , April ). Student performance prediction using multi-layers artificial neural networks: A case study on educational data mining . In Proceedings of the 2019 3rd International Conference on Information System and Data Mining (pp. 59 - 64 ). Search in Google Scholar

Urbina Nájera, A. B., & Calleja Mora, J. D. L. (2017). Brief review of educational applications using data mining and machine learning. Revista electrónica de investigación educativa, 19(4), 84-96. Urbina Nájera A. B. Calleja Mora J. D. L. ( 2017 ). Brief review of educational applications using data mining and machine learning . Revista electrónica de investigación educativa , 19 ( 4 ), 84 - 96 . Search in Google Scholar

Hernández-Blanco, A., Herrera-Flores, B., Tomás, D., & Navarro-Colorado, B. (2019). A systematic review of deep learning approaches to educational data mining. Complexity, 2019(1), 1306039. Hernández-Blanco A. Herrera-Flores B. Tomás D. Navarro-Colorado B. ( 2019 ). A systematic review of deep learning approaches to educational data mining . Complexity , 2019 ( 1 ), 1306039 . Search in Google Scholar

Yousafzai, B. K., Hayat, M., & Afzal, S. (2020). Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student. Education and Information Technologies, 25(6), 4677-4697. Yousafzai B. K. Hayat M. Afzal S. ( 2020 ). Application of machine learning and data mining in predicting the performance of intermediate and secondary education level student . Education and Information Technologies , 25 ( 6 ), 4677 - 4697 . Search in Google Scholar

Sina Abbasi,Seyedeh Saeideh Mousavi,Ebrahim Farbod,Mohammad Yousefi Sorkhi & Mohammad Parvin. (2024). Hybrid data mining and data-driven algorithms for a green logistics transportation network in the post-COVID era: A case study in the USA. Systems and Soft Computing200156-200156. Sina Abbasi Seyedeh Saeideh Mousavi Ebrahim Farbod Mohammad Yousefi Sorkhi Mohammad Parvin ( 2024 ). Hybrid data mining and data-driven algorithms for a green logistics transportation network in the post-COVID era: A case study in the USA . Systems and Soft Computing 200156 - 200156 . Search in Google Scholar

Pawel Powroznik,Maria Skublewska Paszkowska,Robert Rejdak & Katarzyna Nowomiejska. (2024). Automatic Method of Macular Diseases Detection Using Deep CNN-GRU Network in OCT Images. Acta Mechanica et Automatica(4),197-206. Pawel Powroznik Maria Skublewska Paszkowska Robert Rejdak Katarzyna Nowomiejska ( 2024 ). Automatic Method of Macular Diseases Detection Using Deep CNN-GRU Network in OCT Images . Acta Mechanica et Automatica(4) , 197 - 206 . Search in Google Scholar

Shijie Wang & Xueyong Zhang. (2024). Research on Credit Default Prediction Model Based on TabNet-Stacking. Entropy(10),861-861. Shijie Wang Xueyong Zhang ( 2024 ). Research on Credit Default Prediction Model Based on TabNet-Stacking . Entropy(10) , 861 - 861 . Search in Google Scholar

Bartosz Kądziołka,Piotr Jurkiewicz,Robert Wójcik & Jerzy Domżał. (2024). Utilizing TabNet Deep Learning for Elephant Flow Detection by Analyzing Information in First Packet Headers. Entropy(7),537-537. Bartosz Kądziołka Piotr Jurkiewicz Robert Wójcik Jerzy Domżał ( 2024 ). Utilizing TabNet Deep Learning for Elephant Flow Detection by Analyzing Information in First Packet Headers . Entropy(7) , 537 - 537 . Search in Google Scholar