{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T15:26:48Z","timestamp":1742916408586,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031355004"},{"type":"electronic","value":"9783031355011"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-35501-1_40","type":"book-chapter","created":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T20:34:21Z","timestamp":1685738061000},"page":"394-403","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Explainable Fuzzy Models for\u00a0Learning Analytics"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0713-2260","authenticated-orcid":false,"given":"Gabriella","family":"Casalino","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6489-8628","authenticated-orcid":false,"given":"Giovanna","family":"Castellano","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3272-9739","authenticated-orcid":false,"given":"Gianluca","family":"Zaza","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,3]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Sadiku, M.N.O., Musa, S.M., Chukwu, U.C.: Artificial Intelligence in Education. iUniverse (2022)","key":"40_CR1","DOI":"10.51542\/ijscia.v2i1.2"},{"doi-asserted-by":"crossref","unstructured":"Holmes, W., Tuomi, I.: State of the art and practice in AI in education. Eur. J. Educ. (2022)","key":"40_CR2","DOI":"10.1111\/ejed.12533"},{"unstructured":"Zambrano, J.L., Torralbo, J.A.L., Morales, C.R., et\u00a0al.: Early prediction of student learning performance through data mining: a systematic review. Psicothema (2021)","key":"40_CR3"},{"doi-asserted-by":"crossref","unstructured":"Farella, M., Arrigo, M., Chiazzese, G., Tosto, C., Seta, L., Taibi, D.: Integrating XAPI in AR applications for positive behaviour intervention and support. In: 2021 International Conference on Advanced Learning Technologies (ICALT), pp. 406\u2013408. IEEE (2021)","key":"40_CR4","DOI":"10.1109\/ICALT52272.2021.00129"},{"doi-asserted-by":"crossref","unstructured":"Schicchi, D., Pilato, G.: A social humanoid robot as a playfellow for vocabulary enhancement. In: 2018 Second IEEE International Conference on Robotic Computing (IRC), pp. 205\u2013208. IEEE (2018)","key":"40_CR5","DOI":"10.1109\/IRC.2018.00044"},{"key":"40_CR6","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1007\/978-981-13-0514-6_64","volume-title":"Soft Computing in Data Analytics","author":"G Tripathi","year":"2019","unstructured":"Tripathi, G., Ahad, M.A.: IoT in education: an integration of educator community to promote holistic teaching and learning. In: Nayak, J., Abraham, A., Krishna, B.M., Chandra Sekhar, G.T., Das, A.K. (eds.) Soft Computing in Data Analytics. AISC, vol. 758, pp. 675\u2013683. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-13-0514-6_64"},{"doi-asserted-by":"crossref","unstructured":"Ahad, M.A., Tripathi, G., Agarwal, P.: Learning analytics for IOE based educational model using deep learning techniques: architecture, challenges and applications. Smart Learn. Environ. 5(1), 1\u201316 (2018)","key":"40_CR7","DOI":"10.1186\/s40561-018-0057-y"},{"doi-asserted-by":"crossref","unstructured":"Malandrino, D., Guarino, A., Lettieri, N., Zaccagnino, On the visualization of logic: a diagrammatic language based on spatial, graphical and symbolic notations. In: 2019 23rd International Conference Information Visualisation (IV), pp. 7\u201312. IEEE (2019)","key":"40_CR8","DOI":"10.1109\/IV.2019.00011"},{"doi-asserted-by":"crossref","unstructured":"Khosravi, H., et al.: Explainable artificial intelligence in education. Comput. Educ. Artif. Intell. p. 100074 (2022)","key":"40_CR9","DOI":"10.1016\/j.caeai.2022.100074"},{"key":"40_CR10","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-030-71098-9_1","volume-title":"Explainable Fuzzy Systems","author":"JM Alonso Moral","year":"2021","unstructured":"Alonso Moral, J.M., Castiello, C., Magdalena, L., Mencar, C.: Toward explainable artificial intelligence through fuzzy systems. In: Explainable Fuzzy Systems. SCI, vol. 970, pp. 1\u201323. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-71098-9_1"},{"issue":"2","key":"40_CR11","doi-asserted-by":"publisher","first-page":"3211","DOI":"10.32604\/cmc.2022.023560","volume":"71","author":"S Sohail","year":"2022","unstructured":"Sohail, S., Alvi, A., Khanum, A.: Interpretable and adaptable early warning learning analytics model. CMC-Comput. Mater. Continua 71(2), 3211\u20133225 (2022)","journal-title":"CMC-Comput. Mater. Continua"},{"key":"40_CR12","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/978-3-030-89941-7_10","volume-title":"Information and Communication Technologies","author":"N Sol\u00f3rzano Alc\u00edvar","year":"2021","unstructured":"Sol\u00f3rzano Alc\u00edvar, N., Zambrano Loor, R., Carrera Gallego, D.: Natural language to facilitate the analysis of statistical evaluation of educational digital games. In: Salgado Guerrero, J.P., Chicaiza Espinosa, J., Cerrada Lozada, M., Berrezueta-Guzman, S. (eds.) TICEC 2021. CCIS, vol. 1456, pp. 127\u2013141. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-89941-7_10"},{"key":"40_CR13","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/978-3-030-31284-8_10","volume-title":"Higher Education Learning Methodologies and Technologies Online","author":"JM Alonso","year":"2019","unstructured":"Alonso, J.M., Casalino, G.: Explainable artificial intelligence for human-centric data analysis in virtual learning environments. In: Burgos, D., et al. (eds.) HELMeTO 2019. CCIS, vol. 1091, pp. 125\u2013138. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-31284-8_10"},{"doi-asserted-by":"crossref","unstructured":"Kaczmarek-Majer, K., et al.: Plenary: explaining black-box models in natural language through fuzzy linguistic summaries. Inf. Sci. (2022)","key":"40_CR14","DOI":"10.1016\/j.ins.2022.10.010"},{"doi-asserted-by":"crossref","unstructured":"Ulfa, S., Lasfeto, D.B., Fatawi, I.: Applying fuzzy logic to customize learning materials in e-learning systems. Ubiquitous Learn.: Int. J. 14(2) (2021)","key":"40_CR15","DOI":"10.18848\/1835-9795\/CGP\/v14i02\/49-61"},{"doi-asserted-by":"crossref","unstructured":"Stojanovi\u0107, J., et\u00a0al.: Application of distance learning in mathematics through adaptive neuro-fuzzy learning method. Comput. Electr. Eng. 93, 107270 (2021)","key":"40_CR16","DOI":"10.1016\/j.compeleceng.2021.107270"},{"doi-asserted-by":"crossref","unstructured":"Dhokare, M., Teje, S., Jambukar, S., Wangikar, V.: Evaluation of academic performance of students using fuzzy logic. In: 2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), pp. 1\u20135. IEEE (2021)","key":"40_CR17","DOI":"10.1109\/ICAECA52838.2021.9675557"},{"issue":"3","key":"40_CR18","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/s12528-021-09279-x","volume":"33","author":"M Tsiakmaki","year":"2021","unstructured":"Tsiakmaki, M., Kostopoulos, G., Kotsiantis, S., Ragos, O.: Fuzzy-based active learning for predicting student academic performance using automl: a step-wise approach. J. Comput. High. Educ. 33(3), 635\u2013667 (2021)","journal-title":"J. Comput. High. Educ."},{"doi-asserted-by":"crossref","unstructured":"Dhankhar, A., Solanki, K., Dalal, S., et\u00a0al.: Predicting students performance using educational data mining and learning analytics: a systematic literature review. Innov. Data Commun. Technol. Appl. 127\u2013140 (2021)","key":"40_CR19","DOI":"10.1007\/978-981-15-9651-3_11"},{"unstructured":"Gabriella, C., Pietro, D., Michela, F., Riccardo, P.: Fuzzy hoeffding decision trees for learning analytics. In: First Workshop on Online Learning from Uncertain Data Streams 2022. CEUR-WS (2022)","key":"40_CR20"},{"doi-asserted-by":"crossref","unstructured":"Ardimento, P., Bernardi, M.L., Cimitile, M., De\u00a0Ruvo, G.: Learning analytics to improve coding abilities: a fuzzy-based process mining approach. In: 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20137. IEEE (2019)","key":"40_CR21","DOI":"10.1109\/FUZZ-IEEE.2019.8859009"},{"doi-asserted-by":"crossref","unstructured":"Nagothu, S.K., Sri, P.B., Koppolu, R.: Smart student participation assessment using fuzzy logic. IN: ICoCIST 2021, p. 673 (2021)","key":"40_CR22","DOI":"10.1007\/978-981-16-6893-7_59"},{"key":"40_CR23","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"1341","DOI":"10.1007\/978-3-030-96308-8_124","volume-title":"Intelligent Systems Design and Applications","author":"G Casalino","year":"2022","unstructured":"Casalino, G., Castellano, G., Zaza, G.: Neuro-fuzzy systems for\u00a0learning analytics. In: Abraham, A., Gandhi, N., Hanne, T., Hong, T.-P., Nogueira Rios, T., Ding, W. (eds.) ISDA 2021. LNNS, vol. 418, pp. 1341\u20131350. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-96308-8_124"},{"key":"40_CR24","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-030-67435-9_1","volume-title":"Bridges and Mediation in Higher Distance Education","author":"G Casalino","year":"2021","unstructured":"Casalino, G., Castellano, G., Vessio, G.: Exploiting time in adaptive learning from educational data. In: Agrati, L.S., et al. (eds.) HELMeTO 2020. CCIS, vol. 1344, pp. 3\u201316. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-67435-9_1"},{"issue":"3","key":"40_CR25","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1109\/5.364486","volume":"83","author":"J-SR Jang and Chuen-Tsai Sun","year":"1995","unstructured":"J-SR Jang and Chuen-Tsai Sun: Neuro-fuzzy modeling and control. Proc. IEEE 83(3), 378\u2013406 (1995)","journal-title":"Proc. IEEE"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35501-1_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T20:38:37Z","timestamp":1685738317000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35501-1_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031355004","9783031355011"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35501-1_40","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"3 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda22\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}