Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems

Behnam Taraghi, Anna Saranti, Martin Ebner, Arndt Großmann, Vinzent Müller

Research output: Chapter in Book/Report/Conference proceedingChapter

Original languageEnglish
Title of host publicationOpen Learning and Teaching in Educational Communities
EditorsChristoph Rensing, Sara de Freitas, Tobias Ley, Pedro J. Muñoz-Merino
PublisherSpringer
Pages592-593
Edition1
ISBN (Print)978-3-319-11199-5
Publication statusPublished - 2014

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Theoretical

Cite this

Taraghi, B., Saranti, A., Ebner, M., Großmann, A., & Müller, V. (2014). Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems. In C. Rensing, S. D. Freitas, T. Ley, & P. J. Muñoz-Merino (Eds.), Open Learning and Teaching in Educational Communities (1 ed., pp. 592-593). Springer.