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TIMONEL: Recommendation System Applied to the Educational Orientation of Higher Education Students

  • Antonio Pantoja-VallejoEmail author
  • Beatriz Berrios-Aguayo
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 7)

Abstract

The needs derived from the educational orientation have increased to the extent that the number of students enrolled in the schools of Higher Education has been higher. For this reason, numerous digital tools are emerging that seek to respond to these needs, especially in the form of Web pages and platforms with diverse content, which are still traditional adaptations to the digital world. The TIMONEL Recommendation System (RS) is designed with an innovative and different perspective, the result of research in several European universities (University of Jaen, University of Granada, The Polytechnic Institute of Coimbra and Queen Mary University of London)., Recommendation System (SR) is designed, the result of research in several European universities, which was created with the aim of becoming an advisory tool in the area of educational guidance and as support to the tutorial action carried out by faculties and teachers within the Tutorial Action Plans that are being developed in all the universities as part of the process of the European Higher Education Area. This communication presents the system and its future applicability that will make it possible to offer collaborative answers to the questions of university students, as well as graduates, in matters related to academic, personal and professional guidance.

Keywords

Recommendation system Orientation Needs Higher education 

References

  1. Aguaded Gómez, J.I., Pozo Vicente, C.: Erasmus students in the tower of babel. Foreign language learning based on communicative competencies and the use of ICT. TESI 10(2), 377–411 (2009). http://rabida.uhu.es/dspace/bitstream/handle/10272/6315/Los_alumnos_Erasmus.pdf?sequence=2
  2. Al-Qirim, N., Tarhini, A., Rouibah, K., Mohamd, S., Yammahi, A.R., Yammahi, M.A.: Learning orientations of IT higher education students in UAE University. Educ. Inf. Technol. 23(1), 129–142 (2018).  https://doi.org/10.1007/s10639-017-9589-yCrossRefGoogle Scholar
  3. Álvarez-Rojo, V., Romero, S., Gil-Flores, J., Rodríguez-Santero, J., Clares, J., Asensio, I., Salmeron-Vilchez, P.: Necesidades de formación del profesorado universitario para la adaptación de su docencia al Espacio Europeo de Educación Superior (EEES). Relieve 17(1) (2011). https://www.uv.es/RELIEVE/v17n1/RELIEVEv17n1_1.htm
  4. Arroyave, M.R.M., Estrada, A.F., González, R.C.: Modelo de recomendación para la orientación vocacional basado en la computación con palabras. Int. J. Innov. Appl. Stud. 15(1), 80 (2016). https://search.proquest.com/openview/bb6f54405ab1de512ee739db34aba36d/1?pq-origsite=gscholar&cbl=2031961
  5. Aubert Bonn, N., Godecharle, S., Dierickx, K.: European universities’ guidance on research integrity and misconduct. J. Empir. Res. Hum. Res. Ethics 12(1), 33–44 (2017).  https://doi.org/10.1177/1556264616688980CrossRefGoogle Scholar
  6. Blanco, E., Martínez-Santiago, F., Pantoja-Vallejo, A.: Análisis automático de emociones en la Red Internacional e-Culturas. Revista Electronica de Investigacion Y Docencia 5, 53–68 (2011)Google Scholar
  7. Bustos-Lopez, M., Vázquez-Ramírez, R., Alor-Hermández, G.: An architecture for developing educational recommender systems. Res. Comput. Sci. 106, 17–26 (2015)Google Scholar
  8. Casali, A., Gerling, V., Deco, C., Bender, C.: Sistema inteligente para la recomendación de objetos de aprendizaje. Revista Generación Digital (9) (2011). http://www.ariadne-eu.org/
  9. Castellano, E.J., Martínez, L., Barranco, M., Pérez Cordón, L.G.: Recomendación de perfiles académicos mediante algoritmos colaborativos basados en el expediente. In: Conferência IADIS Ibero-Americana (2007). https://sinbad2.ujaen.es/sites/default/files/publications/Castellano2007_IADIS.pdf
  10. Fernández-Jiménez, M., Mena-Rodríguez, E., Tójar-Hurtado, J.: Funciones de la tutoría en e-learning: Estudio mixto de los roles del tutor online. Revista de Investigación Educativa 35(2), 409–426 (2017).  https://doi.org/10.6018/rie.35.2.273271CrossRefGoogle Scholar
  11. Gairín Sallán, J., Feixas i Condom, M., Guillamón Ramos, C., Quinquer Vilamitjana, D.: La tutoría académica en el escenario europeo de la Educación Superior. Revista Interuniversitaria de Formación Del Profesorado (49), 61–78. (2004). https://dialnet.unirioja.es/servlet/articulo?codigo=1057097
  12. García Torres, I., Plaza Vargas, A., Zurita Hurtado, H., Hurtado, H.Z.: ICT in structured programming learning through constructivist techniques for education. J. Sci. Res.: Revista Ciencia E Investigación, 3(CITT2017), 69–71 (2018). http://doi.org/10.26910/issn.2528-8083vol3issCITT2017.2018pp69-71Google Scholar
  13. Guilbault, M.: Students as customers in higher education: the (controversial) debate needs to end. J. Retail. Consum. Serv. 40, 295–298 (2018).  https://doi.org/10.1016/J.JRETCONSER.2017.03.006CrossRefGoogle Scholar
  14. Hablich Sánchez, F.C., Navarro Sangurima, D.D., Toala Rocuano, I.I.: Impacto positivo en la transformación de la Educación Superior. Dominio de Las Ciencias 4(1), 673–708. (2018). https://dialnet.unirioja.es/servlet/articulo?codigo=6657429CrossRefGoogle Scholar
  15. Hernández Calle, A., Pernet González, R.: Prototipo de un sistema experto de orientación vocacional (SEORIV). ARTSEDUCA (5) (2013). https://dialnet.unirioja.es/servlet/articulo?codigo=4339757
  16. Hsu, C.-K., Hwang, G.-J., Chang, C.-K.: A personalized recommendation-based mobile learning approach to improving the reading performance of EFL students. Comput. Educ. 63, 327–336 (2013).  https://doi.org/10.1016/J.COMPEDU.2012.12.004CrossRefGoogle Scholar
  17. López, M.B., Montes, A.J.H., Ramírez, R.V., Hernández, G.A., Cabada, R.Z., Estrada, M.L.B.: EmoRemSys: Sistema de recomendación de recursos educativos basado en detección de emociones. RISTI - Revista Ibérica de Sistemas E Tecnologias de Informação (17), 80–95 (2016). http://doi.org/10.17013/risti.17.80-95
  18. McGarr, O., Gavaldon, G.: Exploring Spanish pre-service teachers’ talk in relation to ICT: balancing different expectations between the university and practicum school. Technol. Pedag. Educ. 27(2), 199–209 (2018).  https://doi.org/10.1080/1475939X.2018.1429950CrossRefGoogle Scholar
  19. Michavila, F., García Delgado, J., Alcón Soler, E.: La tutoría y los nuevos modos de aprendizaje en la universidad. Conserjería de Educación, Madrid (2003). https://dialnet.unirioja.es/servlet/libro?codigo=5538
  20. Montaner, M., López, B., De la Rosa, J.L.: A taxonomy of recommender agents on the Internet. Artif. Intell. Rev. 19, 285–330 (2003). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.9.2519&rep=rep1&type=pdf
  21. Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends Inf. Retrieval 2(1–2), 1–135 (2008).  https://doi.org/10.1561/1500000001CrossRefGoogle Scholar
  22. Pantoja-Vallejo, A., Campoy-Aranda, T.J., (Coords.): Planes de acción tutorial en la universidad. Universidad de Jaén, Jaén (2009)Google Scholar
  23. Pera, M.S., Condie, N., Ng, Y.-K.: Personalized book recommendations created by using social media data. In: International Conference on Web Information Systems Engineering, pp. 390–403 (2011). http://doi.org/10.1007/978-3-642-24396-7_31Google Scholar
  24. Poy, R., Gonzales-Aguilar, A.: Factores de éxito de los MOOC: algunas consideraciones críticas. Iberian J. Inf. Syst. Technol. 0(e1), 105–118 (2014).  https://doi.org/10.4304/risti.e1.105-118CrossRefGoogle Scholar
  25. Vajargah, K.F., Jahani, S., Azadmanesh, N.: Application of ICTS in teaching and learning at university level: the case of Shahid Beheshti University. Turkish Online J. Educ. Technol. 9(2), 33–39 (2010). https://eric.ed.gov/?id=EJ898000
  26. van der Wende, M., Beerkens, E.: An international orientation on institutional strategies and governmental policies for the use of ICT in higher education. Interact. Learn. Environ. 7(2–3), 283–321 (2010).  https://doi.org/10.1076/ilee.7.2.283.7429CrossRefGoogle Scholar
  27. Vialardi, C., Bravo, J., Shafti, L., Ortigosa, A.: Recommendation in higher education using data mining techniques. In: International Conference on Educational Data Mining (EDM), Córdoba (Spain) (2009). https://eric.ed.gov/?id=ED539088

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of JaenJaenSpain

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