Using multimodal data to find patterns in student presentations

Felipe Vieira Roque, Cristian Cechinel, Erick Merino, RODOLFO HUMBERTO VILLARROEL ACEVEDO, Robson Lemos, Roberto Munoz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Multimodal Learning Analytics is a subfield of Learning Analytics that uses data coming from complex learning environments and collected through alternative devices that are different from those normally observed in the Learning Analytics literature. The present work uses data captured by Microsoft Kinect and organized with Lelikëlen system to find patterns in students oral presentations during a given discipline. For that, a total of 16 different features related to the records of 43 students presentations (85 observations) were used to generate clusters of students with similar behavior. Initial results indicate three main different profiles of students according to their patterns in oral presentations: active, passive, and semi-active. Such findings can be further implemented in Lelikëlen system in order to allow instant feedback to students. Future work will also evaluate how students oral presentations patterns evolve during the semester, and compare patterns of students presentations across areas to evaluate whether there are similarities or not.

Original languageEnglish
Title of host publicationProceedings - 13th Latin American Conference on Learning Technologies, LACLO 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages256-263
Number of pages8
ISBN (Electronic)9781728103822
DOIs
StatePublished - Oct 2018
Externally publishedYes
Event13th Latin American Conference on Learning Technologies, LACLO 2018 - Sao Paulo, Brazil
Duration: 1 Oct 20185 Oct 2018

Publication series

NameProceedings - 13th Latin American Conference on Learning Technologies, LACLO 2018

Conference

Conference13th Latin American Conference on Learning Technologies, LACLO 2018
CountryBrazil
CitySao Paulo
Period1/10/185/10/18

Keywords

  • Clustering
  • Data mining
  • Multimodal learning analytics
  • Students postures

Fingerprint Dive into the research topics of 'Using multimodal data to find patterns in student presentations'. Together they form a unique fingerprint.

Cite this