Recommendation in higher education using data mining techniques

Álvaro Ortigosa, Leila Shaftr, Javier Braver, César Vialardi Sacín

Research output: Contribution to journalArticle (Contribution to Journal)peer-review

25 Scopus citations


One of the main problems faced by university students is to take the right decision in relation to their academic itinerary based on available information (for example courses, schedules, sections, classrooms and professors). In this context, this work proposes the use of a recommendation system based on data mining techniques to help students to take decisions on their academic itineraries. More specifically, it provides support for the student to better choose how many and which courses to enrol on. having as basis the experience of previous students with similar academic achievements. For this purpose, we have analyzed real data corresponding to seven years of student enrolment at the School of System Engineering at Universidad de Lima. Based on this analysis, a recommendation system was developed.
Original languageAmerican English
JournalDefault journal
StatePublished - 1 Jan 2009
Externally publishedYes


  • Conference Object

Ulima Repository Category

  • Ciencias sociales / Educación

Ulima Repository Subject

  • Computer assisted instruction
  • Data mining
  • Educational technology
  • Enseñanza asistida por computadora
  • Enseñanza superior
  • Higher education
  • Minería de datos
  • Tecnología educativa


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