{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:35:40Z","timestamp":1743010540009,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031456442"},{"type":"electronic","value":"9783031456459"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-45645-9_50","type":"book-chapter","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T04:30:12Z","timestamp":1707798612000},"page":"519-529","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Application of Artificial Intelligence in Recommendation Systems Reinforced Through Assurance of Learning in Personalized Environments of e-Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8340-7900","authenticated-orcid":false,"given":"Fernando","family":"Fresneda-Bottaro","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5139-6728","authenticated-orcid":false,"given":"Arnaldo","family":"Santos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3040-9080","authenticated-orcid":false,"given":"Paulo","family":"Martins","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4398-8384","authenticated-orcid":false,"given":"Leonilde","family":"Reis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,14]]},"reference":[{"key":"50_CR1","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1080\/00131727609336501","volume":"40","author":"D Bell","year":"1976","unstructured":"Bell, D.: The coming of the post-industrial society. Educ. Forum 40, 574\u2013579 (1976). https:\/\/doi.org\/10.1080\/00131727609336501","journal-title":"Educ. Forum"},{"key":"50_CR2","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1016\/J.PROCS.2018.08.253","volume":"136","author":"C Anton","year":"2018","unstructured":"Anton, C., Shikov, A.: The method of personalized corporate e-learning based on personal traits of employees. Procedia Comput. Sci. 136, 511\u2013521 (2018). https:\/\/doi.org\/10.1016\/J.PROCS.2018.08.253","journal-title":"Procedia Comput. Sci."},{"key":"50_CR3","doi-asserted-by":"crossref","unstructured":"Alomair, Y., Hammami, S.: A review of methods for adaptive gamified learning environments. In: 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS), pp. 1\u20136. IEEE (2020)","DOI":"10.1109\/ICCAIS48893.2020.9096871"},{"key":"50_CR4","doi-asserted-by":"publisher","unstructured":"Samoylenko, N., Zharko, L., Glotova, A.: Designing online learning environment: ICT tools and teaching strategies. Athens J. Educ. 9, 49\u201362 (2021). https:\/\/doi.org\/10.30958\/aje.9-1-4","DOI":"10.30958\/aje.9-1-4"},{"key":"50_CR5","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3884919","author":"AK Gahier","year":"2021","unstructured":"Gahier, A.K., Gujral, S.K.: Cross domain recommendation systems using deep learning: a systematic literature review. SSRN Electron. J. (2021). https:\/\/doi.org\/10.2139\/ssrn.3884919","journal-title":"SSRN Electron. J."},{"key":"50_CR6","unstructured":"Gogo, K.O., Nderu, L., Mutua, S.M., et al.: Context aware recommender systems and techniques in offering smart learning: a survey and future work. In: ACSE (2020)"},{"key":"50_CR7","doi-asserted-by":"crossref","unstructured":"Srivastav, G., Kant, S.: Review on e-learning environment development and context aware recommendation systems using deep learning. In: 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), pp. 615\u2013621. IEEE (2019)","DOI":"10.1109\/RDCAPE47089.2019.8979066"},{"key":"50_CR8","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1007\/978-1-0716-2197-4_14","volume-title":"Recommender Systems Handbook","author":"D Jannach","year":"2022","unstructured":"Jannach, D., Zanker, M.: Value and Impact of Recommender Systems. In: Recommender Systems Handbook, pp. 519\u2013546. Springer, New York (2022). https:\/\/doi.org\/10.1007\/978-1-0716-2197-4_14"},{"key":"50_CR9","unstructured":"Jump, A., Goodness, E., Hare, J., et al.: Emerging Technologies and Trends Impact Radar: Artificial Intelligence, 2021. Gartner, Inc (2021). https:\/\/www.gartner.com\/en\/documents\/4006010. Accessed 20 July 2022"},{"key":"50_CR10","unstructured":"Goasduff, L.: The 4 Trends That Prevail on the Gartner Hype Cycle for AI, 2021. In: Gartner, Inc (2021). https:\/\/www.gartner.com\/en\/articles\/the-4-trends-that-prevail-on-the-gartner-hype-cycle-for-ai-2021. Accessed 20 July 2022"},{"key":"50_CR11","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.compedu.2018.11.005","volume":"130","author":"NB Afini Normadhi","year":"2019","unstructured":"Afini Normadhi, N.B., Shuib, L., Md Nasir, H.N., et al.: Identification of personal traits in adaptive learning environment: Systematic literature review. Comput. Educ. 130, 168\u2013190 (2019). https:\/\/doi.org\/10.1016\/j.compedu.2018.11.005","journal-title":"Comput. Educ."},{"key":"50_CR12","unstructured":"Ching, H.Y., Gross, A., Vasconcellos, L.: Gest\u00e3o da aprendizagem: casos pr\u00e1ticos. Atlas, S\u00e3o Paulo (2020)"},{"key":"50_CR13","doi-asserted-by":"crossref","unstructured":"Talaghzi, J., Bennane, A., Himmi, M.M., et al.: Online adaptive learning: a review of literature. In: ACM International Conference Proceeding Series, pp 115\u2013120. ACM, New York (2020)","DOI":"10.1145\/3419604.3419759"},{"key":"50_CR14","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/978-3-642-20633-7_8","volume-title":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)","author":"A Alturki","year":"2011","unstructured":"Alturki, A., Gable, G.G., Bandara, W.: A design science research roadmap. In: Jain, H., Sinha, A.P., Vitharana, P. (eds.) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 107\u2013123. Springer, Berlin, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-20633-7_8"},{"key":"50_CR15","doi-asserted-by":"publisher","first-page":"75","DOI":"10.2307\/25148625","volume":"28","author":"AR Hevner","year":"2004","unstructured":"Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. Manag. Inf. Syst. 28, 75\u2013105 (2004). https:\/\/doi.org\/10.2307\/25148625","journal-title":"MIS Q. Manag. Inf. Syst."},{"key":"50_CR16","doi-asserted-by":"publisher","unstructured":"Cano, P.A.O., Alarc\u00f3n, E.C.P.: Recommendation systems in education: a review of recommendation mechanisms in e-learning environments. Rev. Ing. Univ. Medell\u00edn. 20, 147\u2013158 (2020). https:\/\/doi.org\/10.22395\/rium.v20n38a9","DOI":"10.22395\/rium.v20n38a9"},{"key":"50_CR17","doi-asserted-by":"crossref","unstructured":"Zhong, L., Wei, Y., Yao, H., et al.: Review of deep learning-based personalized learning recommendation. In: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning, pp 145\u2013149. ACM, New York (2020)","DOI":"10.1145\/3377571.3377587"},{"key":"50_CR18","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s40692-021-00199-4","volume":"9","author":"NS Raj","year":"2022","unstructured":"Raj, N.S., Renumol, V.G.: A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020. J. Comput. Educ. 9, 113\u2013148 (2022). https:\/\/doi.org\/10.1007\/s40692-021-00199-4","journal-title":"J. Comput. Educ."},{"key":"50_CR19","doi-asserted-by":"publisher","unstructured":"Foley, P.: Transactional distance and adaptive learning, planning for the future of higher education. J. Interact. Media. Educ. 2019 (2019). https:\/\/doi.org\/10.5334\/jime.542","DOI":"10.5334\/jime.542"},{"key":"50_CR20","first-page":"181","volume":"2","author":"A Paramythis","year":"2004","unstructured":"Paramythis, A., Loidl-Reisinger, S.: Adaptive learning environments and e-learning standards. Electron. J e-Learn. 2, 181\u2013194 (2004)","journal-title":"Electron. J e-Learn."},{"key":"50_CR21","doi-asserted-by":"crossref","unstructured":"Peng H, Ma S, Spector JM (2019) Personalized Adaptive Learning: An Emerging Pedagogical Approach Enabled by a Smart Learning Environment. In: Lecture Notes in Educational Technology. pp 171\u2013176","DOI":"10.1007\/978-981-13-6908-7_24"},{"key":"50_CR22","unstructured":"AACSB International (2007) AACSB Assurance of Learning Standards: An Interpretation (2013)"},{"key":"50_CR23","volume-title":"Taxonomy of Educational Objectives: The Classification of Educational Goals, Parts 1\u20132","author":"BS Bloom","year":"1972","unstructured":"Bloom, B.S.: Taxonomy of Educational Objectives: The Classification of Educational Goals, Parts 1\u20132. David McKay Co Inc., New York (1972)"},{"key":"50_CR24","doi-asserted-by":"publisher","unstructured":"Shah, A.A., Syeda, Z.F., Shahzadi, U.: Assessment of higher education learning outcomes of university graduates. Glob. Educ. Stud. Rev. 1, 72\u201383 (2020). https:\/\/doi.org\/10.31703\/gesr.2020(V-I).08","DOI":"10.31703\/gesr.2020(V-I).08"},{"key":"50_CR25","first-page":"117","volume":"32","author":"L McMillan","year":"2020","unstructured":"McMillan, L., Johnson, T., Parker, F.M., et al.: Improving student learning outcomes through a collaborative higher education partnership. Int. J. Teach. Learn. High. Educ. 32, 117\u2013124 (2020)","journal-title":"Int. J. Teach. Learn. High. Educ."},{"key":"50_CR26","doi-asserted-by":"publisher","unstructured":"Zhang, Q., Lu, J., Zhang, G.: Recommender systems in E-learning. J. Smart Environ. Green Comput. (2022). https:\/\/doi.org\/10.20517\/jsegc.2020.06","DOI":"10.20517\/jsegc.2020.06"},{"key":"50_CR27","doi-asserted-by":"publisher","first-page":"141","DOI":"10.3390\/electronics11010141","volume":"11","author":"H Ko","year":"2022","unstructured":"Ko, H., Lee, S., Park, Y., Choi, A.: A survey of recommendation systems: recommendation models, techniques, and application fields. Electronics 11, 141 (2022). https:\/\/doi.org\/10.3390\/electronics11010141","journal-title":"Electronics"},{"key":"50_CR28","doi-asserted-by":"publisher","first-page":"7670","DOI":"10.1016\/j.jksuci.2021.06.009","volume":"34","author":"J Joy","year":"2022","unstructured":"Joy, J., Pillai, R.V.G.: Review and classification of content recommenders in E-learning environment. J. King Saud Univ. \u2013 Comput. Inf. Sci. 34, 7670\u20137685 (2022). https:\/\/doi.org\/10.1016\/j.jksuci.2021.06.009","journal-title":"J. King Saud Univ. \u2013 Comput. Inf. Sci."},{"key":"50_CR29","doi-asserted-by":"crossref","unstructured":"Sweta, S.: Adaptive E-learning system. In: Modern Approach to Educational Data Mining and its Applications, pp. 13\u201324 (2021)","DOI":"10.1007\/978-981-33-4681-9_2"},{"key":"50_CR30","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1186\/s13677-020-00199-2","volume":"9","author":"L Jiang","year":"2020","unstructured":"Jiang, L., Liu, L., Yao, J., Shi, L.: A hybrid recommendation model in social media based on deep emotion analysis and multi-source view fusion. J. Cloud Comput. 9, 57 (2020). https:\/\/doi.org\/10.1186\/s13677-020-00199-2","journal-title":"J. Cloud Comput."},{"key":"50_CR31","doi-asserted-by":"publisher","unstructured":"Bourkoukou, O., El Bachari, E.: Toward a hybrid recommender system for e-learning personnalization based on data mining techniques. JOIV Int. J. Inf. Vis. 2, 271 (2018). https:\/\/doi.org\/10.30630\/joiv.2.4.158","DOI":"10.30630\/joiv.2.4.158"},{"key":"50_CR32","unstructured":"El Fazazi, H., Qbadou, M., Salhi, I., Mansouri, K.: Personalized recommender system for e-Learning environment based on student\u2019s preferences (2018)"},{"key":"50_CR33","doi-asserted-by":"crossref","unstructured":"Nurjanah, D.: Good and Similar learners\u2019 recommendation in adaptive learning systems. In: Proceedings of the 8th International Conference on Computer Supported Education, vol. 1, pp. 434\u2013440. CSEDU, SciTePress (2016)","DOI":"10.5220\/0005864304340440"},{"key":"50_CR34","doi-asserted-by":"publisher","first-page":"45","DOI":"10.2753\/MIS0742-1222240302","volume":"24","author":"K Peffers","year":"2007","unstructured":"Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45\u201377 (2007). https:\/\/doi.org\/10.2753\/MIS0742-1222240302","journal-title":"J. Manag. Inf. Syst."},{"key":"50_CR35","unstructured":"Kitchenham, B.: Procedures for Performing Systematic Reviews, Version 1.0. Department of Computer Science, Keele University, UK (2004)"}],"container-title":["Lecture Notes in Networks and Systems","Information Systems and Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-45645-9_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T03:26:32Z","timestamp":1741577192000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-45645-9_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031456442","9783031456459"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-45645-9_50","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"14 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WorldCIST","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"World Conference on Information Systems and Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pisa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"4 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"worldcist2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/worldcist.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}