A Methodological Approach to Eliciting Affective Educational Recommendations

Author

Santos, Olga C. ; Saneiro, Mar ; Salmeron-Majadas, Sergio ; Boticario, Jesus G.

Author_Institution

aDeNu Res. Group, UNED, Madrid, Spain

fYear

2014

fDate

7-10 July 2014

Firstpage

529

Lastpage

533

Abstract

The emotional situation of the learner can influence the learning process. For this reason, we are researching how educational recommender systems can take advantage of affective computing to improve the recommendation support in educational scenarios. The paper reports works carried out involving 18 educators and 77 learners to elicit and design emotional feedback to be provided for learners in terms of personalized recommendations. To this end, user centered design methods and data mining techniques are used.

Keywords

computer aided instruction; data mining; human computer interaction; recommender systems; user centred design; affective computing; affective educational recommendations; data mining techniques; educational recommender systems; emotional feedback; learner emotional situation; learning process; personalized recommendations; recommendation support improvement; user centered design methods; Context; Data mining; Educational institutions; Keyboards; Mice; Presses; Recommender systems; TORMES; affective computing; data mining; educational recommender systems; emotional support;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on

Conference_Location

Athens

Type

conf

DOI

10.1109/ICALT.2014.234

Filename

6901531