O uso de ontologias na aprendizagem adaptativa
uma visão a partir de um mapeamento sistemático
DOI:
https://doi.org/10.35699/1983-3652.2020.25120Palavras-chave:
Aprendizagem adaptativa, Mapeamento sistemático, Modelos baseados em ontologia, Sistemas de recomendação semânticaResumo
A aplicação de ontologias na aprendizagem adaptativa contribui para a implementação de alternativas técnico-pedagógicas com um profundo embasamento computacional. Para projetar pesquisas sobre inovações educacionais, é importante determinar quais são os principais pares de variáveis dependentes (DV) e independentes (VI) que foram estudados nos últimos cinco anos (2015-2019). Nesta década, diversos estudos teóricos estão presentes na Scopus até 2018, mas não se consegue identificar a relação DV-VI para cada publicação. Isso levou a um mapeamento sistemático usando critérios estabelecidos no protocolo PRISMA. Foram selecionados 289 artigos (ACM Digital Library (94), IEEE Xplorer (100) e Scopus (95)). Aplicando critérios rigorosos de inclusão e exclusão, 53 publicações foram escolhidas. Observa-se que existem resultados nesta área do conhecimento, porém, a aplicação de métodos híbridos que conseguem integrar sistemas de recomendação de objetos de aprendizagem adaptativos com várias técnicas de recomendação, por exemplo: baseada em conteúdo, filtragem colaborativa e ontologias, ainda é incipiente. Conclui-se que os pares de variáveis com maior frequência foram: VD: sistema de aprendizagem adaptativo – VI: modelo baseado em ontologias fuzzy; VD: avaliação de competências – VI: modelo baseado em ontologias fuzzy; VD: objetos de aprendizagem – VI: modelo baseado em ontologias; VD: estilos de aprendizagem – VI: modelo baseado em ontologias; VD: repositórios de recursos educacionais digitais – VI: máquinas de suporte vetorial; VD: classificação e agrupamento de alunos – VI: modelo baseado em ontologias.
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Referências
ADELL, J. Y.; CASTAÑEDA, L. Tecnologías emergentes, ¿pedagogías emergentes? In: JHERNÁNDEZ, J.; PENNESI, M.; SOBRINO, D.; VÁZQUEZ, A. (coord.). Tendencias emergentes en educación con TIC. Barcelona: Asociación Espiral, Educación y Tecnología. Asociación Espiral, Educación y Tecnología, España, 2012. p. 13-32.
AGGARWAL; CHARU. Recommender Systems. Springer International Publishing, 2016.
AJETUNMOBI, S. A.; DARAMOLA, O. Ontology-based information extraction for subject-focussed automatic essay evaluation. In: International Conference on Computing Networking and Informatics (ICCNI), Lagos, Nigeria, 2017.
AL-ABRI, A.; JAMOUSSI, Y.; ALKHANJARI, Z.; KRAIEM, N. Aggregation and Mapping of Social Media Attribute Names Extracted from Chat Conversation for Personalized E-Learning. In: 4th MEC International Conference on Big Data and Smart City (ICBDSC), Muscat, Oman, 2019.
ÁLVAREZ-LEBRUM, S.; SALAZAR, O. M.; OVALLE, D. A. Hacia un modelo ontológico de aprendizaje colaborativo basado en agentes. Revista vínculos, v. 13, n. 1, 2016, p. 45-55. Disponible en: https://bit.ly/3glTq3q. Acceso en: 10 diciembre 2019.
AL-YAHYA, M.; GEORGE, R.; ALFARIES, A. Ontologies in E-learning: Review of the literature. International Journal of Software Engineering and its Applications, v. 9, n. 2, 2015, p. 67-84. Disponible en: https://bit.ly/3goQDWX. Acceso en: 21 febrero 2019.
AMINAH, S.; AFRIYANTI, I.; KRISNADHI, A. Ontology-Based Approach for Academic Evaluation System. In: 33rd International Conference on Data Engineering (ICDE), 2017, p. 1569-1575.
ANDRÉS, S.; JESÚS, S.; DE BENITO, C. Incorporación de tecnologías emergentes en el aula: un modelo. European Journal of Education Studies, v. 4, n. 4, 2018, p. 13-26. Disponible en: https://bit.ly/3gkzWfm. Acceso en: 16 septiembre 2019.
BOUREKKACHE, S.; KAZAR, O.; ABIK, M.; TIGANE, S.; KAHLOUL, L. Ontology based approach for representing the learner profile and learning styles. In: Third International Conference on Intelligent Computing in Data Sciences (ICDS), Marrakech, Morocco, 2019.
CARDONA, S. A; VÉLEZ, J. V; JARAMILLO, S. Entorno de aprendizaje virtual adaptativo para la gestión de la evaluación. Revista Espacios, v. 39, n. 20, 2018, p. 32-40. Disponible en: https://bit.ly/2LX8arh. Acceso en: 26 noviembre 2019.
CHALCO-CHALLCO, G.; ISOTANI, S.; BITTENCOURT, I. I. The Effects of Ontology-Based Gamification in Scripted Collaborative Learning. In: 9th International Conference on Advanced Learning Technologies (ICALT). Maceió, Brazil, 2019, p. 140-145,
CHEN, W.; NIU, Z.; ZHAO, X.; LI, Y. A hybrid recommendation algorithm adapted in e-learning environments. World Wide Web, v. 17, n. 2, p. 271-284, 2012. Disponible en: https://bit.ly/2Zw3LUm. Acceso en: 19 diciembre 2019.
CHENG, B.; ZHANG, Y.; SHI, D. Ontology-Based Personalized Learning Path Recommendation for Course Learning. In: 9th International Conference on Information Technology in Medicine and Education (ITME), Hangzhou, China, 2018, p. 531-538.
COSTA, L. A.; SALVADOR, L. N.; AMORIM, R. R. Evaluation of Academic Performance Based on Learning Analytics and Ontology: A Systematic Mapping Study. In: IEEE Frontiers in Education Conference (FIE), San Jose, USA, 2018.
COSTA, L.; SOUZA, M.; SALVADOR, L.; AMORIM, R. Monitoring Students Performance in E-Learning Based on Learning Analytics and Learning Educational Objectives. In: 19th International Conference on Advanced Learning Technologies (ICALT), Maceió, Brazil, 2019, p. 192-193.
DANIEL, B. Big Data and data science: A critical review of issues for educational research. British Journal of Educational Technology, v. 50, n. 1, 2017, p. 101-113. Disponible en: https://bit.ly/3d0cy4U. Acceso en: 11 octubre 2019.
DASCALU, M. I.; BODEA, C. N.; MIHAILESCU, M. N.; TANASE, E. A.; ORDOÑEZ DE PABLOS, P. Educational recommender systems and their application in lifelong learning. Behaviour Information Technology, v. 35, n. 4, 2016, p. 290-297. Disponible en: https://bit.ly/2yBIkpW . Acceso en: 10 marzo 2019.
DE MEDIO, C.; LIMONGELLI, C.; SCIARRONE, F.; TEMPERINI, M. MoodleREC: A recommendation system for creating courses using the moodle e-learning platform. Computers in Human Behavior, v. 104, 2020, p. 106-168. Disponible en: https://bit.ly/2yBROS4. Acceso en: 16 febrero 2020.
EL GUEMMAT, K.; OUAHABI, S. Towards a new educational search engine based on hybrid searching and indexing techniques. In: 1st International Conference on Smart Systems and Data Science (ICSSD), Rabat, Morocco, 2019.
EL RAHEB, K.; KASOMOULIS, A.; KATIFORI, A.; REZKALLA, M.; IOANNIDIS, Y. A Web-based system for annotation of dance multimodal recordings by dance practitioners and experts. In: 5th International Conference on Movement and Computing – MOCO, Genoa, Italy, ’18, 2018.
ESCAMILLA, J.; CALLEJA, B.; VILLALBA, E.; ESTEBAN VENEGAS, E.; FUERTE, K.; ROMÁN, R.; MADRIGAL, M. Aprendizaje y evaluación adaptativos, Reporte EduTrends, 2014. Disponible en: https://bit.ly/2zxuVzo. Acceso en: 5 noviembre 2019.
FERREIRA, H. N. M.; BRANT-RIBEIRO, T.; ARAUJO, R. D.; DORCA, F. A.; CATTELAN, R. G. An Automatic and Dynamic Student Modeling Approach for Adaptive and Intelligent Educational Systems Using Ontologies and Bayesian Networks. In: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), 2016, p. 378-382.
FIDALGO-BLANCO, Á, SEIN-ECHALUCE, M. L. GARCÍA-PEÑALVO, F. Tendencias de Innovación Educativa. Algo más que un desfile de moda. In: Conferencia Internacional en Tendencias de Innovación Educativa. CITIE II, 2018, Arequipa. Perú.
FRAIHAT, S.; SHAMBOUR, Q. A framework for semantic recommender system for e-learners. Journal of Software, v. 10, n. 3, 2015, p. 317-330. Disponible en: https://bit.ly/3ebTKzE . Acceso en: 9 marzo 2019.
GARCÍA-ARETIO, L. Educación a distancia y virtual: calidad, disrupción, aprendizajes adaptativo y móvil. RIED. Revista Iberoamericana de Educación a Distancia, v. 20, n. 2, 2017, p. 9-25. Disponible en: https://bit.ly/2LWF4bD. Acceso en: 19 diciembre 2019.
GASMI, H.; BOURAS, A. Ontology-Based Education/Industry Collaboration System. IEEE Access, v. 6, 2018, p. 1362-1371. Disponible en: https://bit.ly/2ZArrqI. Acceso en: 8 octubre 2019.
GEORGE, G.; LAL, A. M. Review of ontology-based recommender systems in e-learning. Computers Education, v. 142, 103642, 2019. Disponible en: https://bit.ly/36uxvCo. Acceso en: 12 octubre 2019.
GOMATHI, C.; RAJAMANI, V. Skill-based education through fuzzy knowledge modeling for e-learning. Computer Applications in Engineering Education, v. 26, n. 2, 2017, p. 393-404. Disponible en: https://bit.ly/3egSafV. Acceso en: 14 octubre 2019.
GONZÁLEZ-FERNÁNDEZ, M. O.; BECERRA-VÁZQUEZ, J. J.; OLMOS-CORNEJO, J. E. Promoción de la autogestión a través de objetos de aprendizaje adaptativos en alumnos de educación superior. Edutec. Revista Electrónica De Tecnología Educativa, n. 63, 2018, p. 15-28. Disponible en: https://bit.ly/3c5N9p0. Acceso en: 19 noviembre 2019.
GONZÁLEZ, L. Propuesta para evaluar la calidad de objetos de aprendizaje mediante el uso de ontologías. Tesis (doctorado). Universidad de Alicante, España, 2016.
GONZÁLEZ, M. P.; BENCHOFF, D. E.; HUAPAYA, C. R.; REMÓN, C. A. Aprendizaje adaptativo: un caso de evaluación personalizada. Revista Iberoamericana De Tecnología En Educación Y Educación En Tecnología, n. 9, 2017, p. 65-72. Recuperado de: https://bit.ly/2ZAq2Ad. Acceso en: 19 diciembre 2019.
GRIVOKOSTOPOULOU, F.; PERIKOS, I.; PARASKEVAS, M.; HATZILYGEROUDIS, I. An Ontology-based Approach for User Modelling and Personalization. In: E-Learning Systems. In: 18th International Conference on Computer and Information Science (ICIS), Beijing, China, 2019.
GROS, B.; MAINA, M. The future of Ubiquitous Learning: Learning desings for Emerging Pedagogies. Lecture notes in Educational Technology. The future of ubiquitous Computing. Springer International Publishing, 2016. Disponible en: https://bit.ly/2XtaTy7 . Acceso en: 19 diciembre 2019.
GUEVARA, C.; AGUILAR, J. Caracterización Semántica de Objetos de Aprendizaje Adaptativos mediante una Ontología de Tareas. Ciencia e Ingeniería, v. 40, n. 2, 2019, p. 196-204. Disponible en: https://bit.ly/2X5hFeF. Acceso en: 20 diciembre 2019.
HARRATHI, M.; TOUZANI, N.; BRAHAM, R. A hybrid knowledge-based approach for recommending massive learning activities. In: 14th international conference on computer systems and applications (AICCSA), 2017, p. 49-54.
JENSEN, JESPER. A systematic literature review of the use of Semantic Web technologies in formal education. British Journal of Educational Technology, v. 50, n. 1, 2017, p. 505-517. Disponible en: https://bit.ly/2XryyPA . Acceso en: 14 octubre 2019.
JOY, J.; RAJ, N. S.; RENUMOL, V. G. An ontology model for content recommendation in personalized learning environment. In: Second International Conference on Data Science, E-Learning and Information Systems – DATA, Dubai United Arab Emirates, ’19, 2019.
KALOGERAKI, E.-M.; TROUSSAS, C.; APOSTOLOU, D.; VIRVOU, M.; PANAYIOTOPOULOS, T. Ontology-based model for learning object metadata. In: 2016 7th International Conference on Information, Intelligence, Systems Applications (IISA), 2016.
KISELEV, B.; YAKUTENKO, V. An Overview of Massive Open Online Course Platforms: Personalization and Semantic Web Technologies and Standards. Procedia Computer Science, v. 169, 2020, p. 373-379. Disponible en: https://bit.ly/3egqqbm. Acceso en: 18 febrero 2020.
KLAŠNJA-MILIĆEVIĆ, A.; IVANOVIĆ, M.; NANOPOULOS, A. Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions. Artificial Intelligence Review, v. 44, n. 4, p. 571-604, 2015. Disponible en: https://bit.ly/2ZA41BH. Acceso en: 13 marzo 2019.
KUBEKOV, B.; ZHAKSYBAEVA, N.; NAUMENKO, V.; UTEGENOVA, A. Methodology of formation of educational resources on the basis of ontology. In: 12th International Conference on Application of Information and Communication Technologies (AICT), Almaty, Kazakhstan, 2018.
KURILOVAS, E.; ZILINSKIENE, I.; DAGIENE, V. Recommending suitable learning scenarios according to learners' preferences: An improved swarm-based approach. Computers in Human Behavior, v. 30, p. 550-557, 2014. Disponible en: https://bit.ly/3glBzcC. Acceso en: 15 septiembre 2019.
LABIB, A. E.; CANÓS, J. H.; PENADÉS, M. C. On the way to learning style model’s integration: A learner's characteristics ontology. Computers in Human Behavior, v. 73, p. 433-445, 2017. Disponible en: https://bit.ly/3d0q6gA . Acceso en: 19 octubre 2019.
LEE, C. S.; WANG, M. H.; HUANG, T. X.; CHEN, L. C.; HUANG, Y. C.; YANG, S. C.; CHIEN, T.; PI, H.; KUBOTA, N. Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning. In: International Conference on Fuzzy Systems (FUZZ-IEEE), Rio de Janeiro, Brazil, 2018.
LENDYUK, T.; RIPPA, S.; BODNAR, O.; SACHENKO, A. Ontology Application in Context of Mastering the Knowledge for Students. In: 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, 2018, p. 123-126.
LMATI, I.; ZAHRA, F.; AITDAOUD, M.; DOUZI, K.; BENLAHMAR, H.; TALBI, M.; ACHTAICH, N.; NAMIR, A. Alignment between two domain ontologies (Case of educational orientation in mathematics education). In: 5th International Conference on Information Communication Technology and Accessibility (ICTA), Marrakech, Morocco, 2015.
MALAEB, S.; ERBAD, A.; M. ALJA’AM, J. Towards an Ontology-driven Game-based Educational platform with Automatic Student Monitoring. 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL), 2015, p. 141-145.
MORADI, P.; AHMADIAN, S. A reliability-based recommendation method to improve trust-aware recommender systems. Exp Syst Appl, v. 42, n. 21, p. 7386-7398, 2015. Disponible en: https://bit.ly/2X3D9Zk. Acceso en: 21 enero 2020.
MOURIÑO-GARCÍA, M.; PÉREZ-RODRÍGUEZ, R.; ANIDO-RIFÓN, L.; FERNÁNDEZ-IGLESIAS, M. J.; DARRIBA-BILBAO, V. M. Cross-repository aggregation of educational resources. Computers Education, v. 117, p. 31-49, 2018. Disponible en: https://bit.ly/3euq69d. Acceso en: 29 octubre 2019.
NABIL, M.; MEDHAT, M. TONE: A Method for Terminological Ontology Evaluation. In: ArabWIC 6th Annual International Conference Research Track (ArabWIC 2019), Rabat Morocco, 2019, p. 1-10,
NAHHAS, S.; BAMASAG, O.; KHEMAKHEM, M.; BAJNAID, N. Bridging Education and Labor Skills by a Novel Competency-Based Course Linked-Data Model. IEEE Access, v. 7, p. 119087-119098, 2019. Disponible en: https://bit.ly/2zlxsgl. Acceso en: 12 octubre 2019.
NAJAFABADI, M. K.; MAHRIN, M. N. A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback. Artificial Intelligence Review, v. 45, n. 2, p. 167-201, 2016. Disponible en: https://bit.ly/2TCnwWF. Acceso en: 18 marzo 2019.
NEWSTETTER, W.; SVINICKI, M. Learning Theories for Engineering Education Practice. In Johri, A.; Olds, B. Cambridge Handbook of Engineering Education Research, Cambridge: Cambridge University Press, 2014, p. 29-46.
NMC Horizon Report 2019. Higher Education Edition. Disponible en https://library.educause.edu/resources/2019/4/2019-horizon-report. Acceso en: 5 diciembre 2019.
NOUIRA, A.; CHENITI‐BELCADHI, L.; BRAHAM, R. An ontology‐based framework of assessment analytics for massive learning. Computer Applications in Engineering Education, v. 27, n. 6, p. 1343-1360, 2019. Disponible en: https://bit.ly/2X3wiPA. Acceso en: 17 octubre 2019.
OBEID, C.; LAHOUD, I.; EL KHOURY, H.; CHAMPIN, P. A. Ontology-based recommender system in higher education. In: The Web Conference, Republic and Canton of Geneva, CHE, 2018, p 1031-1034.
ODUN-AYO, I.; GODDY-WORLU, R.; YAHAYA, J.; GETELOMA, V. A systematic mapping study of cloud policy languages and programming models. Journal of King Saud University – Computer and Information Sciences. May 2019, Disponible en: https://bit.ly/3gnWf3F. Acceso en: 19 noviembre 2019.
OUF, S.; ELLATIF, M. A.; SALAMA, S. E.; HELMY, Y. A proposed paradigm for smart learning environment based on semantic web. Computers in Human Behavior, v. 72, p. 796-818, 2017. Disponible en: https://bit.ly/2ZCuxue. Acceso en: 19 octubre 2019.
PALOMBI, O.; JOUANOT, F.; NZIENGAM, N.; OMIDVAR-TEHRANI, B.; ROUSSET, M.C.; SANCHEZ, A. OntoSIDES: Ontology-based student progress monitoring on the national evaluation system of French Medical Schools. Artificial Intelligence in Medicine, v. 96, p. 59-67, 2019. Disponible en: https://bit.ly/2X0gLjb. Acceso en: 16 febrero 2020.
PRAMITASARI, L.; HIDAYANTO, A. N.; AMINAH, S.; KRISNADHI, A. A.; RAMADHANIE, A. M. Development of student model ontology for personalization in an elearning system based on semantic web. In: International conference on advanced computer science and information systems (ICACSIS09), 2009.
RAHEB, K. E.; STERGIOU, M.; KATIFORI, A.; IOANNIDIS, Y. Dance Interactive Learning Systems. ACM Computing Surveys, v. 52, n. 3, p. 1-37, 2019. Disponible en: https://bit.ly/2Ac3dIo. Acceso en: 17 noviembre 2019.
RAJ, N. S.; RENUMOL, V. G. Architecture of an Adaptive Personalized Learning Environment (APLE) for Content Recommendation. In: 2nd International Conference on Digital Technology in Education – ICDTE, Bangkok, Thailand, 2018.
RAMIREZ, G. M.; COLLAZOS, C. A.; MOREIRA, F FARDOUN, H. Relación entre el U-Learning, aprendizaje conectivo y el estándar xAPI: Revisión Sistemática. Campus Virtuales, v.7, n. 1, p. 51- 62, 2018. Disponible en: https://bit.ly/2Xxw5D0. Acceso en: 19 diciembre 2019.
RAMÍREZ-NORIEGA, A.; JUAREZ-RAMÍREZ, R.; JIMÉNEZ, S.; INZUNZA, S.; NAVARO, R.; LÓPEZ-MARTÍNEZ, J. An Ontology of the Object Orientation for Intelligent Tutoring Systems. In: 5th International Conference in Software Engineering Research and Innovation (CONISOFT), 2017, p. 163-169.
RANI, M.; NAYAK, R.; VYAS, O. P. An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage. Knowledge-Based Systems, v. 90, p. 33-48, 2015. Disponible en: https://bit.ly/2XrvvH8 . Acceso en: 21 febrero 2019.
RAUD, Z.; VODOVOZOV, V.; PETLENKOV, E.; SERBIN, A. Ontology-Based Design of Educational Trajectories. In: 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, 2018.
REPORTE EDUTRENDS 2019. Aprendizaje y evaluación adaptativos. Tecnológico de Monterrey. Disponible en: https://observatorio.tec.mx/redutrends. Acceso en: 15 enero 2020.
RICCI F., ROKACH L., SHAPIRA B. Introduction to Recommender Systems Handbook. In: RICCI F., ROKACH L., SHAPIRA B., KANTOR P. (eds.). Recommender Systems Handbook, Springer, Boston, MA, 2011.
RIVERA, A.C.; TAPIA-LEON M.; LUJAN-MORA S. Recommendation Systems in Education: A Systematic Mapping Study. Advances in Intelligent Systems and Computing, v. 721, p. 937-947, 2018. Disponible en: https://bit.ly/2AcNl8z. Acceso en: 23 octubre 2019.
RODRÍGUEZ, P.; DUQUE, NÉSTOR D, OVALLE, DEMETRIO A. Método Híbrido de Recomendación Adaptativa de Objetos de Aprendizaje basado en Perfiles de Usuario. Formación universitaria, v. 9, n. 4 p. 83-94, 2016. Disponible en: https://bit.ly/2WZb8lm. Acceso en: 19 diciembre 2019.
SAINI, M. K.; GOEL, N. How Smart Are Smart Classrooms? A Review of Smart Classroom Technologies. ACM Computing Surveys, v. 52, n. 6, p. 1-28, 2019. Disponible en: https://bit.ly/3c4S9tY. Acceso en: 20 noviembre 2019.
SALEENA, B.; SRIVATSA, S. K. Using concept similarity in cross ontology for adaptive e-Learning systems. Journal of King Saud University-Computer and Information Sciences, v. 27, n. 1, p. 1-12, 2015. Disponible en: https://bit.ly/2LU79QZ . Acceso en: 15 marzo 2019.
SANTOS, O. C.; BOTICARIO, J. G. User-centred design and educational data mining support during the recommendation’s elicitation process in social online learning environments. Expert Systems, v. 32, n. 2, p. 293-311, 2013. Disponible en: https://bit.ly/2yBnDKK. Acceso en: 19 diciembre 2019.
SANTOS, O. C.; BOTICARIO, J. G. Practical guidelines for designing and evaluating educationally oriented recommendations. Computers & Education, v. 81, p. 354-374, 2015. Disponible en: https://bit.ly/2XxwxBe. Acceso en: 19 diciembre 2019.
STUDER, S.; BENJAMINS, V. R. FENSEL, D. Knowledge Engineering: Principles and Methods. Data & Knowledge Engineering, v. 25, n. 1, p. 161-197, 1998. Disponible en https://bit.ly/2TT2uDl . Acceso en: 19 diciembre 2019.
TARUS, J. K.; NIU, Z.; MUSTAFA, G. Knowledge-based recommendation: A review of ontology-based recommender systems for e-learning. Artificial Intelligence Review, v. 50, n. 1, p. 21-48, 2017. Disponible en: https://bit.ly/2ZMEIN5. Acceso en: 20 octubre 2019.
TIAN, Y.; ZHENG, B.; WANG, Y.; ZHANG, Y.; WU, Q. College Library Personalized Recommendation System Based on Hybrid Recommendation Algorithm. Procedia CIRP, v. 83, p. 490-494, 2019. Disponible en: https://bit.ly/3d0niAg. Acceso en: 20 diciembre 2019.
TIBANÁ-HERRERA, G.; FERNÁNDEZ-BAJÓN, M. T.; DE MOYA-ANEGÓN, F. Categorization of E-learning as an emerging discipline in the world publication system: Abibliometric study in SCOPUS. International Journal of Educational Technology in Higher Education, v. 15, n. 1, 2018. Disponible en: https://bit.ly/2LWHy9X . Acceso en: 19 septiembre 2019.
TURPO-GEBERA, O.; GARCÍA-PEÑALVO, F. J. La producción científica sobre el blended learning en Perú: Avances y perspectivas. In: XXII Congreso Internacional Tecnología e innovación para la diversidad de los aprendizajes – EDUTEC 2019, 2019, p. 1474-1490. Lima, Perú.
TZOUMPA, D.; KARVOUNIDIS, T.; DOULIGERIS, C. Applying ontologies in an educational context. In: 2016 IEEE Global Engineering Education Conference (EDUCON), 2016, p. 304 – 308.
URRÚTIA, G.; BONFILL, X. PRISMA declaration: A proposal to improve the publication of systematic reviews and meta-analyses. Med. Clín, v. 135, n. 11, p. 507-511, 2010. Disponible en: https://bit.ly/3bZ3X0R. Acceso en: 19 diciembre 2019.
UTRERA, E.; SIMÓN, A. J. Sistemas de recomendación semánticos: Una revisión del Estado del Arte. Revista Cubana de Ciencias Informáticas, v. 11, n. 2, p. 189-206, 2017. Disponible en: https://bit.ly/3c43ACh. Acceso en: 18 diciembre 2019.
WHAN, Y, WHAN, Z.; XU, X.; BAI, T.; YANG, S.; HUANG, L. A Courses Ontology System for Computer Science Education. In: International Conference on Computer Science and Educational Informatization (CSEI). Kunming, China, 2019, p. 251-255.
WU, J.; DER-THANQ, V. A systematic review of educational digital storytelling. Computers Education, v. 147, p. 103786, 2020. Disponible en: https://bit.ly/3gozjBk. Acceso en: 19 febrero 2020.
XIE, H.; CHU, H. C.; HWANG, G. J.; WANG, C. C. Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017. Computers Education, v. 140, 103599, 2019. https://bit.ly/2ZB6yM7 Acceso en: 16 febrero 2020.
YANG, Z. Research on domain ontology of educational resource cloud services. In: 2016 3rd International Conference on Systems and Informatics (ICSAI), p. 450-455, 2016.
YARANDI, M.; HOSSEINI, S. A.; HOSSEINI, S. A. Learner modelling using semantic web technology. International Journal of Computer Information Technologies, v. 2, n. 1, 2014. Recuperado de: https://bit.ly/3bZxbgg. Acceso en: 16 enero 2020.
YARANDI, M.; JAHANKHANI, H.; TAWIL, A. A personalized adaptive e-learning approach based on semantic web technology. Webology, v. 10, n. 2, 2013. Disponible en: https://bit.ly/36t5Stz. Acceso en: 16 enero 2020.
ZHAO, C.; ZHANG, L.; WAN, L. Structured Knowledge Learning Process Design Based on Ontology. 2015 International Conference of Educational Innovation through Technology (EITT), 2015, p. 253-258.
ZHAO, X.; NIU, Z.; CHEN, W.; SHI, C.; NIU, K.; LIU, D. A hybrid approach of topic model and matrix factorization based on two-step recommendation framework. J Intell Inf Syst vol. 44, p. 335-353, 2015. Disponible en: https://bit.ly/2LWkHv0. Acceso en: 16 diciembre 2019.
ZHAO, X.; NIU, Z.; WANG, K.; NIU, K.; LIU, Z. Improving Top-N Recommendation Performance Using Missing Data. Mathematical Problems in Engineering, 2015, p. 1-13. Disponible en: https://bit.ly/2TCwq6m. Acceso en: 18 septiembre 2019.
AGGARWAL; CHARU. Recommender Systems. Springer International Publishing, 2016.
AJETUNMOBI, S. A.; DARAMOLA, O. Ontology-based information extraction for subject-focussed automatic essay evaluation. In: International Conference on Computing Networking and Informatics (ICCNI), Lagos, Nigeria, 2017.
AL-ABRI, A.; JAMOUSSI, Y.; ALKHANJARI, Z.; KRAIEM, N. Aggregation and Mapping of Social Media Attribute Names Extracted from Chat Conversation for Personalized E-Learning. In: 4th MEC International Conference on Big Data and Smart City (ICBDSC), Muscat, Oman, 2019.
ÁLVAREZ-LEBRUM, S.; SALAZAR, O. M.; OVALLE, D. A. Hacia un modelo ontológico de aprendizaje colaborativo basado en agentes. Revista vínculos, v. 13, n. 1, 2016, p. 45-55. Disponible en: https://bit.ly/3glTq3q. Acceso en: 10 diciembre 2019.
AL-YAHYA, M.; GEORGE, R.; ALFARIES, A. Ontologies in E-learning: Review of the literature. International Journal of Software Engineering and its Applications, v. 9, n. 2, 2015, p. 67-84. Disponible en: https://bit.ly/3goQDWX. Acceso en: 21 febrero 2019.
AMINAH, S.; AFRIYANTI, I.; KRISNADHI, A. Ontology-Based Approach for Academic Evaluation System. In: 33rd International Conference on Data Engineering (ICDE), 2017, p. 1569-1575.
ANDRÉS, S.; JESÚS, S.; DE BENITO, C. Incorporación de tecnologías emergentes en el aula: un modelo. European Journal of Education Studies, v. 4, n. 4, 2018, p. 13-26. Disponible en: https://bit.ly/3gkzWfm. Acceso en: 16 septiembre 2019.
BOUREKKACHE, S.; KAZAR, O.; ABIK, M.; TIGANE, S.; KAHLOUL, L. Ontology based approach for representing the learner profile and learning styles. In: Third International Conference on Intelligent Computing in Data Sciences (ICDS), Marrakech, Morocco, 2019.
CARDONA, S. A; VÉLEZ, J. V; JARAMILLO, S. Entorno de aprendizaje virtual adaptativo para la gestión de la evaluación. Revista Espacios, v. 39, n. 20, 2018, p. 32-40. Disponible en: https://bit.ly/2LX8arh. Acceso en: 26 noviembre 2019.
CHALCO-CHALLCO, G.; ISOTANI, S.; BITTENCOURT, I. I. The Effects of Ontology-Based Gamification in Scripted Collaborative Learning. In: 9th International Conference on Advanced Learning Technologies (ICALT). Maceió, Brazil, 2019, p. 140-145,
CHEN, W.; NIU, Z.; ZHAO, X.; LI, Y. A hybrid recommendation algorithm adapted in e-learning environments. World Wide Web, v. 17, n. 2, p. 271-284, 2012. Disponible en: https://bit.ly/2Zw3LUm. Acceso en: 19 diciembre 2019.
CHENG, B.; ZHANG, Y.; SHI, D. Ontology-Based Personalized Learning Path Recommendation for Course Learning. In: 9th International Conference on Information Technology in Medicine and Education (ITME), Hangzhou, China, 2018, p. 531-538.
COSTA, L. A.; SALVADOR, L. N.; AMORIM, R. R. Evaluation of Academic Performance Based on Learning Analytics and Ontology: A Systematic Mapping Study. In: IEEE Frontiers in Education Conference (FIE), San Jose, USA, 2018.
COSTA, L.; SOUZA, M.; SALVADOR, L.; AMORIM, R. Monitoring Students Performance in E-Learning Based on Learning Analytics and Learning Educational Objectives. In: 19th International Conference on Advanced Learning Technologies (ICALT), Maceió, Brazil, 2019, p. 192-193.
DANIEL, B. Big Data and data science: A critical review of issues for educational research. British Journal of Educational Technology, v. 50, n. 1, 2017, p. 101-113. Disponible en: https://bit.ly/3d0cy4U. Acceso en: 11 octubre 2019.
DASCALU, M. I.; BODEA, C. N.; MIHAILESCU, M. N.; TANASE, E. A.; ORDOÑEZ DE PABLOS, P. Educational recommender systems and their application in lifelong learning. Behaviour Information Technology, v. 35, n. 4, 2016, p. 290-297. Disponible en: https://bit.ly/2yBIkpW . Acceso en: 10 marzo 2019.
DE MEDIO, C.; LIMONGELLI, C.; SCIARRONE, F.; TEMPERINI, M. MoodleREC: A recommendation system for creating courses using the moodle e-learning platform. Computers in Human Behavior, v. 104, 2020, p. 106-168. Disponible en: https://bit.ly/2yBROS4. Acceso en: 16 febrero 2020.
EL GUEMMAT, K.; OUAHABI, S. Towards a new educational search engine based on hybrid searching and indexing techniques. In: 1st International Conference on Smart Systems and Data Science (ICSSD), Rabat, Morocco, 2019.
EL RAHEB, K.; KASOMOULIS, A.; KATIFORI, A.; REZKALLA, M.; IOANNIDIS, Y. A Web-based system for annotation of dance multimodal recordings by dance practitioners and experts. In: 5th International Conference on Movement and Computing – MOCO, Genoa, Italy, ’18, 2018.
ESCAMILLA, J.; CALLEJA, B.; VILLALBA, E.; ESTEBAN VENEGAS, E.; FUERTE, K.; ROMÁN, R.; MADRIGAL, M. Aprendizaje y evaluación adaptativos, Reporte EduTrends, 2014. Disponible en: https://bit.ly/2zxuVzo. Acceso en: 5 noviembre 2019.
FERREIRA, H. N. M.; BRANT-RIBEIRO, T.; ARAUJO, R. D.; DORCA, F. A.; CATTELAN, R. G. An Automatic and Dynamic Student Modeling Approach for Adaptive and Intelligent Educational Systems Using Ontologies and Bayesian Networks. In: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), 2016, p. 378-382.
FIDALGO-BLANCO, Á, SEIN-ECHALUCE, M. L. GARCÍA-PEÑALVO, F. Tendencias de Innovación Educativa. Algo más que un desfile de moda. In: Conferencia Internacional en Tendencias de Innovación Educativa. CITIE II, 2018, Arequipa. Perú.
FRAIHAT, S.; SHAMBOUR, Q. A framework for semantic recommender system for e-learners. Journal of Software, v. 10, n. 3, 2015, p. 317-330. Disponible en: https://bit.ly/3ebTKzE . Acceso en: 9 marzo 2019.
GARCÍA-ARETIO, L. Educación a distancia y virtual: calidad, disrupción, aprendizajes adaptativo y móvil. RIED. Revista Iberoamericana de Educación a Distancia, v. 20, n. 2, 2017, p. 9-25. Disponible en: https://bit.ly/2LWF4bD. Acceso en: 19 diciembre 2019.
GASMI, H.; BOURAS, A. Ontology-Based Education/Industry Collaboration System. IEEE Access, v. 6, 2018, p. 1362-1371. Disponible en: https://bit.ly/2ZArrqI. Acceso en: 8 octubre 2019.
GEORGE, G.; LAL, A. M. Review of ontology-based recommender systems in e-learning. Computers Education, v. 142, 103642, 2019. Disponible en: https://bit.ly/36uxvCo. Acceso en: 12 octubre 2019.
GOMATHI, C.; RAJAMANI, V. Skill-based education through fuzzy knowledge modeling for e-learning. Computer Applications in Engineering Education, v. 26, n. 2, 2017, p. 393-404. Disponible en: https://bit.ly/3egSafV. Acceso en: 14 octubre 2019.
GONZÁLEZ-FERNÁNDEZ, M. O.; BECERRA-VÁZQUEZ, J. J.; OLMOS-CORNEJO, J. E. Promoción de la autogestión a través de objetos de aprendizaje adaptativos en alumnos de educación superior. Edutec. Revista Electrónica De Tecnología Educativa, n. 63, 2018, p. 15-28. Disponible en: https://bit.ly/3c5N9p0. Acceso en: 19 noviembre 2019.
GONZÁLEZ, L. Propuesta para evaluar la calidad de objetos de aprendizaje mediante el uso de ontologías. Tesis (doctorado). Universidad de Alicante, España, 2016.
GONZÁLEZ, M. P.; BENCHOFF, D. E.; HUAPAYA, C. R.; REMÓN, C. A. Aprendizaje adaptativo: un caso de evaluación personalizada. Revista Iberoamericana De Tecnología En Educación Y Educación En Tecnología, n. 9, 2017, p. 65-72. Recuperado de: https://bit.ly/2ZAq2Ad. Acceso en: 19 diciembre 2019.
GRIVOKOSTOPOULOU, F.; PERIKOS, I.; PARASKEVAS, M.; HATZILYGEROUDIS, I. An Ontology-based Approach for User Modelling and Personalization. In: E-Learning Systems. In: 18th International Conference on Computer and Information Science (ICIS), Beijing, China, 2019.
GROS, B.; MAINA, M. The future of Ubiquitous Learning: Learning desings for Emerging Pedagogies. Lecture notes in Educational Technology. The future of ubiquitous Computing. Springer International Publishing, 2016. Disponible en: https://bit.ly/2XtaTy7 . Acceso en: 19 diciembre 2019.
GUEVARA, C.; AGUILAR, J. Caracterización Semántica de Objetos de Aprendizaje Adaptativos mediante una Ontología de Tareas. Ciencia e Ingeniería, v. 40, n. 2, 2019, p. 196-204. Disponible en: https://bit.ly/2X5hFeF. Acceso en: 20 diciembre 2019.
HARRATHI, M.; TOUZANI, N.; BRAHAM, R. A hybrid knowledge-based approach for recommending massive learning activities. In: 14th international conference on computer systems and applications (AICCSA), 2017, p. 49-54.
JENSEN, JESPER. A systematic literature review of the use of Semantic Web technologies in formal education. British Journal of Educational Technology, v. 50, n. 1, 2017, p. 505-517. Disponible en: https://bit.ly/2XryyPA . Acceso en: 14 octubre 2019.
JOY, J.; RAJ, N. S.; RENUMOL, V. G. An ontology model for content recommendation in personalized learning environment. In: Second International Conference on Data Science, E-Learning and Information Systems – DATA, Dubai United Arab Emirates, ’19, 2019.
KALOGERAKI, E.-M.; TROUSSAS, C.; APOSTOLOU, D.; VIRVOU, M.; PANAYIOTOPOULOS, T. Ontology-based model for learning object metadata. In: 2016 7th International Conference on Information, Intelligence, Systems Applications (IISA), 2016.
KISELEV, B.; YAKUTENKO, V. An Overview of Massive Open Online Course Platforms: Personalization and Semantic Web Technologies and Standards. Procedia Computer Science, v. 169, 2020, p. 373-379. Disponible en: https://bit.ly/3egqqbm. Acceso en: 18 febrero 2020.
KLAŠNJA-MILIĆEVIĆ, A.; IVANOVIĆ, M.; NANOPOULOS, A. Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions. Artificial Intelligence Review, v. 44, n. 4, p. 571-604, 2015. Disponible en: https://bit.ly/2ZA41BH. Acceso en: 13 marzo 2019.
KUBEKOV, B.; ZHAKSYBAEVA, N.; NAUMENKO, V.; UTEGENOVA, A. Methodology of formation of educational resources on the basis of ontology. In: 12th International Conference on Application of Information and Communication Technologies (AICT), Almaty, Kazakhstan, 2018.
KURILOVAS, E.; ZILINSKIENE, I.; DAGIENE, V. Recommending suitable learning scenarios according to learners' preferences: An improved swarm-based approach. Computers in Human Behavior, v. 30, p. 550-557, 2014. Disponible en: https://bit.ly/3glBzcC. Acceso en: 15 septiembre 2019.
LABIB, A. E.; CANÓS, J. H.; PENADÉS, M. C. On the way to learning style model’s integration: A learner's characteristics ontology. Computers in Human Behavior, v. 73, p. 433-445, 2017. Disponible en: https://bit.ly/3d0q6gA . Acceso en: 19 octubre 2019.
LEE, C. S.; WANG, M. H.; HUANG, T. X.; CHEN, L. C.; HUANG, Y. C.; YANG, S. C.; CHIEN, T.; PI, H.; KUBOTA, N. Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning. In: International Conference on Fuzzy Systems (FUZZ-IEEE), Rio de Janeiro, Brazil, 2018.
LENDYUK, T.; RIPPA, S.; BODNAR, O.; SACHENKO, A. Ontology Application in Context of Mastering the Knowledge for Students. In: 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, 2018, p. 123-126.
LMATI, I.; ZAHRA, F.; AITDAOUD, M.; DOUZI, K.; BENLAHMAR, H.; TALBI, M.; ACHTAICH, N.; NAMIR, A. Alignment between two domain ontologies (Case of educational orientation in mathematics education). In: 5th International Conference on Information Communication Technology and Accessibility (ICTA), Marrakech, Morocco, 2015.
MALAEB, S.; ERBAD, A.; M. ALJA’AM, J. Towards an Ontology-driven Game-based Educational platform with Automatic Student Monitoring. 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL), 2015, p. 141-145.
MORADI, P.; AHMADIAN, S. A reliability-based recommendation method to improve trust-aware recommender systems. Exp Syst Appl, v. 42, n. 21, p. 7386-7398, 2015. Disponible en: https://bit.ly/2X3D9Zk. Acceso en: 21 enero 2020.
MOURIÑO-GARCÍA, M.; PÉREZ-RODRÍGUEZ, R.; ANIDO-RIFÓN, L.; FERNÁNDEZ-IGLESIAS, M. J.; DARRIBA-BILBAO, V. M. Cross-repository aggregation of educational resources. Computers Education, v. 117, p. 31-49, 2018. Disponible en: https://bit.ly/3euq69d. Acceso en: 29 octubre 2019.
NABIL, M.; MEDHAT, M. TONE: A Method for Terminological Ontology Evaluation. In: ArabWIC 6th Annual International Conference Research Track (ArabWIC 2019), Rabat Morocco, 2019, p. 1-10,
NAHHAS, S.; BAMASAG, O.; KHEMAKHEM, M.; BAJNAID, N. Bridging Education and Labor Skills by a Novel Competency-Based Course Linked-Data Model. IEEE Access, v. 7, p. 119087-119098, 2019. Disponible en: https://bit.ly/2zlxsgl. Acceso en: 12 octubre 2019.
NAJAFABADI, M. K.; MAHRIN, M. N. A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback. Artificial Intelligence Review, v. 45, n. 2, p. 167-201, 2016. Disponible en: https://bit.ly/2TCnwWF. Acceso en: 18 marzo 2019.
NEWSTETTER, W.; SVINICKI, M. Learning Theories for Engineering Education Practice. In Johri, A.; Olds, B. Cambridge Handbook of Engineering Education Research, Cambridge: Cambridge University Press, 2014, p. 29-46.
NMC Horizon Report 2019. Higher Education Edition. Disponible en https://library.educause.edu/resources/2019/4/2019-horizon-report. Acceso en: 5 diciembre 2019.
NOUIRA, A.; CHENITI‐BELCADHI, L.; BRAHAM, R. An ontology‐based framework of assessment analytics for massive learning. Computer Applications in Engineering Education, v. 27, n. 6, p. 1343-1360, 2019. Disponible en: https://bit.ly/2X3wiPA. Acceso en: 17 octubre 2019.
OBEID, C.; LAHOUD, I.; EL KHOURY, H.; CHAMPIN, P. A. Ontology-based recommender system in higher education. In: The Web Conference, Republic and Canton of Geneva, CHE, 2018, p 1031-1034.
ODUN-AYO, I.; GODDY-WORLU, R.; YAHAYA, J.; GETELOMA, V. A systematic mapping study of cloud policy languages and programming models. Journal of King Saud University – Computer and Information Sciences. May 2019, Disponible en: https://bit.ly/3gnWf3F. Acceso en: 19 noviembre 2019.
OUF, S.; ELLATIF, M. A.; SALAMA, S. E.; HELMY, Y. A proposed paradigm for smart learning environment based on semantic web. Computers in Human Behavior, v. 72, p. 796-818, 2017. Disponible en: https://bit.ly/2ZCuxue. Acceso en: 19 octubre 2019.
PALOMBI, O.; JOUANOT, F.; NZIENGAM, N.; OMIDVAR-TEHRANI, B.; ROUSSET, M.C.; SANCHEZ, A. OntoSIDES: Ontology-based student progress monitoring on the national evaluation system of French Medical Schools. Artificial Intelligence in Medicine, v. 96, p. 59-67, 2019. Disponible en: https://bit.ly/2X0gLjb. Acceso en: 16 febrero 2020.
PRAMITASARI, L.; HIDAYANTO, A. N.; AMINAH, S.; KRISNADHI, A. A.; RAMADHANIE, A. M. Development of student model ontology for personalization in an elearning system based on semantic web. In: International conference on advanced computer science and information systems (ICACSIS09), 2009.
RAHEB, K. E.; STERGIOU, M.; KATIFORI, A.; IOANNIDIS, Y. Dance Interactive Learning Systems. ACM Computing Surveys, v. 52, n. 3, p. 1-37, 2019. Disponible en: https://bit.ly/2Ac3dIo. Acceso en: 17 noviembre 2019.
RAJ, N. S.; RENUMOL, V. G. Architecture of an Adaptive Personalized Learning Environment (APLE) for Content Recommendation. In: 2nd International Conference on Digital Technology in Education – ICDTE, Bangkok, Thailand, 2018.
RAMIREZ, G. M.; COLLAZOS, C. A.; MOREIRA, F FARDOUN, H. Relación entre el U-Learning, aprendizaje conectivo y el estándar xAPI: Revisión Sistemática. Campus Virtuales, v.7, n. 1, p. 51- 62, 2018. Disponible en: https://bit.ly/2Xxw5D0. Acceso en: 19 diciembre 2019.
RAMÍREZ-NORIEGA, A.; JUAREZ-RAMÍREZ, R.; JIMÉNEZ, S.; INZUNZA, S.; NAVARO, R.; LÓPEZ-MARTÍNEZ, J. An Ontology of the Object Orientation for Intelligent Tutoring Systems. In: 5th International Conference in Software Engineering Research and Innovation (CONISOFT), 2017, p. 163-169.
RANI, M.; NAYAK, R.; VYAS, O. P. An ontology-based adaptive personalized e-learning system, assisted by software agents on cloud storage. Knowledge-Based Systems, v. 90, p. 33-48, 2015. Disponible en: https://bit.ly/2XrvvH8 . Acceso en: 21 febrero 2019.
RAUD, Z.; VODOVOZOV, V.; PETLENKOV, E.; SERBIN, A. Ontology-Based Design of Educational Trajectories. In: 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Riga, Latvia, 2018.
REPORTE EDUTRENDS 2019. Aprendizaje y evaluación adaptativos. Tecnológico de Monterrey. Disponible en: https://observatorio.tec.mx/redutrends. Acceso en: 15 enero 2020.
RICCI F., ROKACH L., SHAPIRA B. Introduction to Recommender Systems Handbook. In: RICCI F., ROKACH L., SHAPIRA B., KANTOR P. (eds.). Recommender Systems Handbook, Springer, Boston, MA, 2011.
RIVERA, A.C.; TAPIA-LEON M.; LUJAN-MORA S. Recommendation Systems in Education: A Systematic Mapping Study. Advances in Intelligent Systems and Computing, v. 721, p. 937-947, 2018. Disponible en: https://bit.ly/2AcNl8z. Acceso en: 23 octubre 2019.
RODRÍGUEZ, P.; DUQUE, NÉSTOR D, OVALLE, DEMETRIO A. Método Híbrido de Recomendación Adaptativa de Objetos de Aprendizaje basado en Perfiles de Usuario. Formación universitaria, v. 9, n. 4 p. 83-94, 2016. Disponible en: https://bit.ly/2WZb8lm. Acceso en: 19 diciembre 2019.
SAINI, M. K.; GOEL, N. How Smart Are Smart Classrooms? A Review of Smart Classroom Technologies. ACM Computing Surveys, v. 52, n. 6, p. 1-28, 2019. Disponible en: https://bit.ly/3c4S9tY. Acceso en: 20 noviembre 2019.
SALEENA, B.; SRIVATSA, S. K. Using concept similarity in cross ontology for adaptive e-Learning systems. Journal of King Saud University-Computer and Information Sciences, v. 27, n. 1, p. 1-12, 2015. Disponible en: https://bit.ly/2LU79QZ . Acceso en: 15 marzo 2019.
SANTOS, O. C.; BOTICARIO, J. G. User-centred design and educational data mining support during the recommendation’s elicitation process in social online learning environments. Expert Systems, v. 32, n. 2, p. 293-311, 2013. Disponible en: https://bit.ly/2yBnDKK. Acceso en: 19 diciembre 2019.
SANTOS, O. C.; BOTICARIO, J. G. Practical guidelines for designing and evaluating educationally oriented recommendations. Computers & Education, v. 81, p. 354-374, 2015. Disponible en: https://bit.ly/2XxwxBe. Acceso en: 19 diciembre 2019.
STUDER, S.; BENJAMINS, V. R. FENSEL, D. Knowledge Engineering: Principles and Methods. Data & Knowledge Engineering, v. 25, n. 1, p. 161-197, 1998. Disponible en https://bit.ly/2TT2uDl . Acceso en: 19 diciembre 2019.
TARUS, J. K.; NIU, Z.; MUSTAFA, G. Knowledge-based recommendation: A review of ontology-based recommender systems for e-learning. Artificial Intelligence Review, v. 50, n. 1, p. 21-48, 2017. Disponible en: https://bit.ly/2ZMEIN5. Acceso en: 20 octubre 2019.
TIAN, Y.; ZHENG, B.; WANG, Y.; ZHANG, Y.; WU, Q. College Library Personalized Recommendation System Based on Hybrid Recommendation Algorithm. Procedia CIRP, v. 83, p. 490-494, 2019. Disponible en: https://bit.ly/3d0niAg. Acceso en: 20 diciembre 2019.
TIBANÁ-HERRERA, G.; FERNÁNDEZ-BAJÓN, M. T.; DE MOYA-ANEGÓN, F. Categorization of E-learning as an emerging discipline in the world publication system: Abibliometric study in SCOPUS. International Journal of Educational Technology in Higher Education, v. 15, n. 1, 2018. Disponible en: https://bit.ly/2LWHy9X . Acceso en: 19 septiembre 2019.
TURPO-GEBERA, O.; GARCÍA-PEÑALVO, F. J. La producción científica sobre el blended learning en Perú: Avances y perspectivas. In: XXII Congreso Internacional Tecnología e innovación para la diversidad de los aprendizajes – EDUTEC 2019, 2019, p. 1474-1490. Lima, Perú.
TZOUMPA, D.; KARVOUNIDIS, T.; DOULIGERIS, C. Applying ontologies in an educational context. In: 2016 IEEE Global Engineering Education Conference (EDUCON), 2016, p. 304 – 308.
URRÚTIA, G.; BONFILL, X. PRISMA declaration: A proposal to improve the publication of systematic reviews and meta-analyses. Med. Clín, v. 135, n. 11, p. 507-511, 2010. Disponible en: https://bit.ly/3bZ3X0R. Acceso en: 19 diciembre 2019.
UTRERA, E.; SIMÓN, A. J. Sistemas de recomendación semánticos: Una revisión del Estado del Arte. Revista Cubana de Ciencias Informáticas, v. 11, n. 2, p. 189-206, 2017. Disponible en: https://bit.ly/3c43ACh. Acceso en: 18 diciembre 2019.
WHAN, Y, WHAN, Z.; XU, X.; BAI, T.; YANG, S.; HUANG, L. A Courses Ontology System for Computer Science Education. In: International Conference on Computer Science and Educational Informatization (CSEI). Kunming, China, 2019, p. 251-255.
WU, J.; DER-THANQ, V. A systematic review of educational digital storytelling. Computers Education, v. 147, p. 103786, 2020. Disponible en: https://bit.ly/3gozjBk. Acceso en: 19 febrero 2020.
XIE, H.; CHU, H. C.; HWANG, G. J.; WANG, C. C. Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017. Computers Education, v. 140, 103599, 2019. https://bit.ly/2ZB6yM7 Acceso en: 16 febrero 2020.
YANG, Z. Research on domain ontology of educational resource cloud services. In: 2016 3rd International Conference on Systems and Informatics (ICSAI), p. 450-455, 2016.
YARANDI, M.; HOSSEINI, S. A.; HOSSEINI, S. A. Learner modelling using semantic web technology. International Journal of Computer Information Technologies, v. 2, n. 1, 2014. Recuperado de: https://bit.ly/3bZxbgg. Acceso en: 16 enero 2020.
YARANDI, M.; JAHANKHANI, H.; TAWIL, A. A personalized adaptive e-learning approach based on semantic web technology. Webology, v. 10, n. 2, 2013. Disponible en: https://bit.ly/36t5Stz. Acceso en: 16 enero 2020.
ZHAO, C.; ZHANG, L.; WAN, L. Structured Knowledge Learning Process Design Based on Ontology. 2015 International Conference of Educational Innovation through Technology (EITT), 2015, p. 253-258.
ZHAO, X.; NIU, Z.; CHEN, W.; SHI, C.; NIU, K.; LIU, D. A hybrid approach of topic model and matrix factorization based on two-step recommendation framework. J Intell Inf Syst vol. 44, p. 335-353, 2015. Disponible en: https://bit.ly/2LWkHv0. Acceso en: 16 diciembre 2019.
ZHAO, X.; NIU, Z.; WANG, K.; NIU, K.; LIU, Z. Improving Top-N Recommendation Performance Using Missing Data. Mathematical Problems in Engineering, 2015, p. 1-13. Disponible en: https://bit.ly/2TCwq6m. Acceso en: 18 septiembre 2019.
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MOLINA, O. E. .; CANCELL, D. R. F. .; ACOSTA, J. M. Z. . O uso de ontologias na aprendizagem adaptativa: uma visão a partir de um mapeamento sistemático. Texto Livre, Belo Horizonte-MG, v. 13, n. 3, p. 394–423, 2020. DOI: 10.35699/1983-3652.2020.25120. Disponível em: https://periodicos.ufmg.br/index.php/textolivre/article/view/25120. Acesso em: 29 nov. 2024.
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