{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T04:04:36Z","timestamp":1749182676152,"version":"3.41.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031789397","type":"print"},{"value":"9783031789403","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78940-3_21","type":"book-chapter","created":{"date-parts":[[2025,6,5]],"date-time":"2025-06-05T06:07:20Z","timestamp":1749103640000},"page":"212-219","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Implementing a Deep Learning Approach for Forecasting Student Acedemic Performance"],"prefix":"10.1007","author":[{"given":"Shazia","family":"Asif","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manjula","family":"Jain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Meenakshi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khaled A. Z.","family":"Alyamani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sami A.","family":"Morsi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6125-2717","authenticated-orcid":false,"given":"Abhishek","family":"Raghuvanshi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,6]]},"reference":[{"key":"21_CR1","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1344\/der.2018.33.235-266","volume":"33","author":"AV Manjarres","year":"2018","unstructured":"Manjarres, A.V., Sandoval, L.G.M., Su\u00e1rez, M.J.S.: Data mining techniques applied in educational environments: literature review. Digit. Educ. Rev. 33, 235\u2013266 (2018). https:\/\/doi.org\/10.1344\/der.2018.33.235-266","journal-title":"Digit. Educ. Rev."},{"key":"21_CR2","doi-asserted-by":"publisher","unstructured":"Salloum, S.A., Alshurideh, M., Elnagar, A., Shaalan, K.: Mining in educational data: Review and future directions. In: Advances in Intelligent Systems and Computing, pp. 92\u2013102. Springer International Publishing (2020). https:\/\/doi.org\/10.1007\/978-3-030-44289-7_9","DOI":"10.1007\/978-3-030-44289-7_9"},{"key":"21_CR3","unstructured":"Senthil Kumar, R., Jithin Kumar, K.P.: Analysis of student performance based on classification and mapreduce approach in bigdata. Int. J. Pure and Applied Math. 118(14), 141\u2013148 (2018)"},{"key":"21_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40561-022-00192-z","volume":"9","author":"M Ya\u011fc\u0131","year":"2022","unstructured":"Ya\u011fc\u0131, M.: Educational data mining: Prediction of students\u2019 academic performance using machine learning algorithms. Smart Learn. Environ. 9, 1\u201319 (2022)","journal-title":"Smart Learn. Environ."},{"key":"21_CR5","doi-asserted-by":"publisher","unstructured":"Veluri, R., et al.: Learning analytics using deep learning techniques for efficiently managing educational institutes. Materials Today: Proceedings 51, 2317\u20132320 (2022). https:\/\/doi.org\/10.1016\/j.matpr.2021.11.416","DOI":"10.1016\/j.matpr.2021.11.416"},{"key":"21_CR6","doi-asserted-by":"publisher","first-page":"5143","DOI":"10.1007\/s40747-022-00731-8","volume":"8","author":"X Li","year":"2022","unstructured":"Li, X., Zhang, Y., Cheng, H.: Student achievement prediction using deep neural network from multi-source campus data. Complex Intell. Syst. 8, 5143\u20135156 (2022)","journal-title":"Complex Intell. Syst."},{"key":"21_CR7","unstructured":"Iqbal, Z., Qadir, J., Mian, A., Kamiran, F.: Machine Learning Based Student Grade Prediction: A Case Study. ArXiv, abs\/1708.08744 (2017)"},{"key":"21_CR8","unstructured":"Kim, B., Vizitei, E., Ganapathi, V.: GritNet: Student Performance Prediction with Deep Learning. ArXiv, abs\/1804.07405 (2018)"},{"key":"21_CR9","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1109\/JSTSP.2017.2692560","volume":"11","author":"J Xu","year":"2017","unstructured":"Xu, J., Moon, K.H., Schaar, M.: A machine learning approach for tracking and predicting student performance in degree programs. IEEE Journal of Selected Topics in Signal Processing 11, 742\u2013753 (2017)","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Sungar V., Shinde P., Rupnar, M.: Predicting Student\u2019s Performance using Machine Learning, Communications on Applied Electronics (CAE), Foundation of Computer Science FCS 7(11) (2017)","DOI":"10.5120\/cae2017652730"},{"issue":"4","key":"21_CR11","first-page":"77","volume":"2","author":"M Singh","year":"2013","unstructured":"Singh, M., Singh, J., Mahavidyalaya, S., Mandal, V.P.: Machine learning techniques for prediction of subject scores: a comparative study. Int. J. Comp. Sci. Netw. 2(4), 77\u201380 (2013)","journal-title":"Int. J. Comp. Sci. Netw."},{"key":"21_CR12","unstructured":"Bendangnuksung, Prabu, D.: Students\u2019 performance prediction using deep neural network. Int. J. Applied Eng. Res. 13(2), 1171\u20131176 (2018)"},{"issue":"2","key":"21_CR13","first-page":"46","volume":"7","author":"EB Belachew","year":"2017","unstructured":"Belachew, E.B., Gobena, F.A.: Student performance prediction model using machine learning approach: the case of wolkite university. Int. J. Adv. Res. Comp. Sci. Softw. Eng. 7(2), 46\u201350 (2017)","journal-title":"Int. J. Adv. Res. Comp. Sci. Softw. Eng."},{"issue":"3","key":"21_CR14","first-page":"111","volume":"4","author":"H Agrawal","year":"2015","unstructured":"Agrawal, H., Mavani, H.: Student performance prediction using machine learning. Int. J. Eng. Res. Technol. 4(3), 111\u2013113 (2015)","journal-title":"Int. J. Eng. Res. Technol."},{"key":"21_CR15","first-page":"19","volume":"81","author":"W MohamedAly","year":"2013","unstructured":"MohamedAly, W., Hegazy, O., Rashad, H.: Automated student advisory using machine learning. Int. J. Comp. Appl. 81, 19\u201324 (2013)","journal-title":"Int. J. Comp. Appl."},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Fok, W., He, Y., Law, K., Cheung, K.H., Ho, Y.Y.: Prediction model for students\u2019 future development by deep learning and tensorflow artificial intelligence engine. 4th International Conference on Information Management (ICIM), pp. 103\u2013106 (2018)","DOI":"10.1109\/INFOMAN.2018.8392818"},{"key":"21_CR17","doi-asserted-by":"publisher","unstructured":"Sivasakthi, M., Padmanabhan, K.R.A.: Prediction of students programming performance using na\u00efve Bayesian and decision tree. In: Ranganathan, G., Fernando, X., Piramuthu, S. (eds.) Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1428. Springer, Singapore (2023). https:\/\/doi.org\/10.1007\/978-981-19-3590-9_8","DOI":"10.1007\/978-981-19-3590-9_8"},{"key":"21_CR18","doi-asserted-by":"publisher","unstructured":"Neha, K., Kumar, R., Jahangeer Sidiq, S., Zaman, M.: Deep neural networks predicting student performance. In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds.) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 552. Springer, Singapore (2023). https:\/\/doi.org\/10.1007\/978-981-19-6634-7_6","DOI":"10.1007\/978-981-19-6634-7_6"},{"key":"21_CR19","doi-asserted-by":"publisher","unstructured":"Rahul, Katarya, R.: Deep auto encoder based on a transient search capsule network for student performance prediction.\u00a0Multimed Tools Appl. 82, 23427\u201323451 (2023). https:\/\/doi.org\/10.1007\/s11042-022-14083-5","DOI":"10.1007\/s11042-022-14083-5"},{"key":"21_CR20","unstructured":"http:\/\/archive.ics.uci.edu\/ml\/datasets\/university"}],"container-title":["Lecture Notes in Networks and Systems","Bio-Inspired Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78940-3_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,5]],"date-time":"2025-06-05T06:07:27Z","timestamp":1749103647000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78940-3_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031789397","9783031789403"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78940-3_21","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"6 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IBICA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovations in Bio-Inspired Computing and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kochi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ibica2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/ibica23\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}