All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Data literacy for learning analytics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00308388" target="_blank" >RIV/68407700:21730/16:00308388 - isvavai.cz</a>

  • Result on the web

    <a href="http://lak16.solaresearch.org/" target="_blank" >http://lak16.solaresearch.org/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2883851.2883864" target="_blank" >10.1145/2883851.2883864</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data literacy for learning analytics

  • Original language description

    This workshop explores how data literacy impacts on learning analytics both for practitioners and for end users. The term data literacy is used to broadly describe the set of abilities around the use of data as part of everyday thinking and reasoning for solving real-world problems. It is a skill required both by learning analytics practitioners to derive actionable insights from data and by the intended end users, such that it affects their ability to accurately interpret and critique presented analysis of data. The latter is particularly important, since learning analytics outcomes can be targeted at a wide range of end users, some of whom will be young students and many of whom are not data specialists. Whilst data literacy is rarely an end goal of learning analytics projects, this workshop aims to find where issues related to data literacy have impacted on project outcomes and where important insights have been gained. This workshop will further encourage the sharing of knowledge and experience through practical activities with datasets and visualisations. This workshop aims to highlight the need for a greater understanding of data literacy as a field of study, especially with regard to communicating around large, complex, data sets.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AM - Pedagogy and education

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

  • ISBN

    978-1-4503-4190-5

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    500-501

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Edinburgh

  • Event date

    Apr 25, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article