Encyclopedia of Education and Information Technologies

2020 Edition
| Editors: Arthur Tatnall

Interactive Displays, Use of Interactive Charts and Dashboards in Education

  • Djordje M. KadijevichEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-3-030-10576-1_228



Interactive displays are digital artifacts that comprise one or more interactive reports (charts, tables, or summary measures). The main component of such displays are interactive charts.

Interactive Charts

Interactive charts are descriptive, exploratory graphical displays, whose content updates automatically whenever changes in data or variables considered occur. These changes may be the result of data update (done by software or a person working with these charts or preparing data to be used by them), or actions done by the designer/user of these charts, regarding the selection of a particular variable value, examination of one variable instead of another, or the addition of a new variable to the set of variables being considered.

Interactive charts, which can be (relatively effortlessly) used to visualize regularities and trends in data (if any), are typically built in a drag-and-drop fashion within...

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  1. English LD (2016) STEM education K-12: perspectives on integration. Int J STEM Educ 3(3):1–8.  https://doi.org/10.1186/s40594-016-0036-1
  2. Gould R, Bargagliotti A, Johnson T (2017) An analysis of secondary teachers’ reasoning with participatory sensing data. Stat Educ Res J 16(2):305–334. https://iase-web.org/documents/SERJ/SERJ16(2)_Gould.pdf
  3. Kadijevich DM (2016) Data modeling with dashboards: opportunities and challenges. In Engel J (ed.), Promoting understanding of statistics about society. Proceedings of the roundtable conference of the International Association of Statistics Education (IASE), July 2016, Berlin, Germany. ISI/IASE, the Haag, the Netherlands https://iase-web.org/documents/papers/rt2016/Kadijevich.pdf
  4. Kadijevich DM (2018) Data modelling using interactive charts. Teach Math 21(2):1–18. http://elib.mi.sanu.ac.rs/files/journals/tm/41/tmn41p55-72.pdf
  5. Kadijevich DM (2019) Cultivating computational thinking through data practice. In Passey D, Bottino R (eds.), Empowering learners for life in the digital age (in preparation). IFIP Advances in Information and Communication Technology. Springer, Cham, SwitzerlandGoogle Scholar
  6. Ridgway J, Nicholson J, McCusker S (2013) ‘Open data’ and the semantic web require a rethink on statistics teaching. Technol Innov Stat Educ 7(2) https://escholarship.org/uc/item/6gm8p12m
  7. Roberts LD, Howell JA, Seaman K (2017) Give me a customizable dashboard: personalized learning analytics dashboards in higher education. Technol Knowl Learn 22(3):317–333.  https://doi.org/10.1007/s10758-017-9316-1
  8. Schumacher C, Ifenthaler D (2018) Features students really expect from learning analytics. Comput Hum Behav 78:397–407.  https://doi.org/10.1016/j.chb.2017.06.030
  9. Webb ME, Prasse D, Phillips M, Kadijevich DM, Angeli C, Strijker A, Carvalho AA, Andresen BB, Dobozy E, Laugesen H (2018) Challenges for IT-enabled formative assessment of complex 21st century skills. Technol Knowl Learn 23(3):441–456.  https://doi.org/10.1007/s10758-018-9379-7
  10. Wexler S, Shaffer J, Cotgreave A (2017) The big book of dashboards: visualizing your data using real-world business scenarios, 1st edn. Wiley, Hoboken.  https://doi.org/10.1002/9781119283089

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute for Educational ResearchBelgradeSerbia

Section editors and affiliations

  • Arthur Tatnall
    • 1
  1. 1.Information SystemsVictoria UniversityMelbourneAustralia