Santos, Olga C.González Boticario, JesúsArevalillo Herráez, MiguelSaneiro Silva, María del MarCabestrero Alonso, RaúlCampo Adrián, María del CampoManjarrés Riesco, ÁngelesMoreno Clarí, PalomaQuirós Expósito, PilarSalmeron Majadas, Sergio2025-09-122025-09-122012Olga C. Santos, Jesus G. Boticario, Miguel Arevalillo-Herráez, Mar Saneiro, Raul Cabestrero, Elena del Campo, Angeles Manjarres; Paloma Moreno, Pilar Quiros, Sergio Salmerón (2012). MAMIPEC - Affective Modeling in Inclusive Personalized Educational Scenarios. Bulletin of the Technical Committee on Learning Technology. Special Issue Articles: Technology-Augmented Physical Educational Spaces. 14 - 4, pp. 35 - 38. IEEE Technical Committee on Learning Technology, 2012. https://tc.computer.org/tclt/wp-content/uploads/sites/5/2018/01/SantosEtAl.pdf2306-0212https://hdl.handle.net/20.500.14468/30010The registered version of this article, first published in "Bulletin of the Technical Committee on Learning Technology 14 - 4, pp. 35 - 38", is available online at the publisher's website: https://tc.computer.org/tclt/wp-content/uploads/sites/5/2018/01/SantosEtAl.pdfLa versión registrada de este artículo, publicado por primera vez en "Bulletin of the Technical Committee on Learning Technology 14 - 4, pp. 35 - 38", está disponible en línea en el sitio web del editor: https://tc.computer.org/tclt/wp-content/uploads/sites/5/2018/01/SantosEtAl.pdfThere is agreement in the literature that affect influences learning. In turn, addressing affective issues in the recommendation process has shown their ability to increase the performance of recommender systems in non-educational scenarios. In our work, we combine both research lines and describe the SAERS approach to model affective educational recommendations. This affective recommendation model has been initially validated with the application of the TORMES methodology to specific educational settings. We report 29 recommendations elicited in 12 scenarios by applying this methodology. Moreover, a UML formalized version of the recommendations model which can describe the recommendations elicited is presented in the paper.eninfo:eu-repo/semantics/openAccess3304 Tecnología de los ordenadoresartículoAffective computingEducational recommender systemsRecommendation modelSemantic affective educational recommender systems