A Systematic Approach for Providing Personalized Pedagogical Recommendations Based on Educational Data Mining

  • Ranilson Oscar Araujo Paiva
  • Ig Ibert Bittencourt Santa Pinto
  • Alan Pedro da Silva
  • Seiji Isotani
  • Patricia Jaques
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8474)


This work presents an approach to assist teachers, tutors and students from online learning environments. It is a four-steps process called Pedagogical Recommendation Process that uses the coordinated efforts of human actors (pedagogical and technological specialists) and artificial actors (computational artifacts). The process’ objective is to find relevant information in educational data to help creating personalized recommendations. Using the process it was possible to detect issues within a learning environment (UFAL Línguas), and discovered why some students were facing difficulties, and what other students were doing in order to succeed in the course. This information was used to personalize pedagogical recommendations.


Pedagogical Recommendation Process Personalized Recommendations Educational Data Mining Online Learning Environments Online Courses 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ranilson Oscar Araujo Paiva
    • 1
  • Ig Ibert Bittencourt Santa Pinto
    • 2
  • Alan Pedro da Silva
    • 2
  • Seiji Isotani
    • 3
  • Patricia Jaques
    • 4
  1. 1.COPINUniversidade Federal de Campina GrandeCampina GrandeBrasil
  2. 2.NEES, ICUniversidade Federal de AlagoasMaceióBrasil
  3. 3.ICMCUniversidade de São PauloSão CarlosBrasil
  4. 4.PIPCAUniversidade do Vale do Rio dos SinosSão LeopoldoBrasil

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