It's about time: 4th international workshop on temporal analyses of learning data

Simon Knight, Alyssa F. Wise, Bodong Chen, Britte Haugan Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Interest in analyses that probe the temporal aspects of learning continues to grow. The study of common and consequential sequences of events (such as learners accessing resources, interacting with other learners and engaging in self-regulatory activities) and how these are associated with learning outcomes, as well as the ways in which knowledge and skills grow or evolve over time are both core areas of interest. Learning analytics datasets are replete with fine-grained temporal data: click streams; chat logs; document edit histories (e.g. wikis, etherpads); motion tracking (e.g. eye-tracking, Microsoft Kinect), and so on. However, the emerging area of temporal analysis presents both technical and theoretical challenges in appropriating suitable techniques and interpreting results in the context of learning. The learning analytics community offers a productive focal ground for exploring and furthering efforts to address these challenges. This workshop, the fourth in a series on temporal analysis of learning, provides a focal point for analytics researchers to consider issues around and approaches to temporality in learning analytics.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Learning Analytics and Knowledge, LAK 2015
PublisherAssociation for Computing Machinery
Pages388-389
Number of pages2
ISBN (Electronic)9781450334174
DOIs
StatePublished - Mar 16 2015
Event5th International Conference on Learning Analytics and Knowledge, LAK 2015 - Poughkeepsie, United States
Duration: Mar 16 2015Mar 20 2015

Publication series

NameACM International Conference Proceeding Series
Volume16-20-March-2015

Other

Other5th International Conference on Learning Analytics and Knowledge, LAK 2015
CountryUnited States
CityPoughkeepsie
Period3/16/153/20/15

    Fingerprint

Keywords

  • CSCL
  • Discourse Analytics
  • Knowledge Building
  • Learning Analytics
  • Sequence Mining
  • Temporality

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Knight, S., Wise, A. F., Chen, B., & Cheng, B. H. (2015). It's about time: 4th international workshop on temporal analyses of learning data. In Proceedings of the 5th International Conference on Learning Analytics and Knowledge, LAK 2015 (pp. 388-389). (ACM International Conference Proceeding Series; Vol. 16-20-March-2015). Association for Computing Machinery. https://doi.org/10.1145/2723576.2723638