The M in STEM and Issues of Data Literacy

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

Abstract

This article examines post-pandemic scenarios that combine an emerging research agenda with three distinct topics relevant to the changing requirements of education systems worldwide: STEM education, mathematical thinking, and data literacy. In addition, how these topics are collectively positioned within the context of the digital environment is discussed. We examine the social usefulness of data literacy as may be embedded within a STEM paradigm and consider it as reaching beyond this paradigm into domains of civics and ethics. We propose that a meaningful strategy on ‘data literacy’ requires complex practical development and a curriculum presence explicitly within the Mathematics content area and across all STEM subjects, while also aligned to skills development typically associated with 21st century education together with emergent skills now associated with the fourth industrial revolution. In a similar way to how computational thinking has emerged as reaching beyond the formalities of computer science, the ‘M’ in STEM in this paper signifies ‘mathematical thinking’ is relevant beyond the discipline of Mathematics.
Original languageEnglish
Title of host publicationConference Proceedings, 29th International Conference on Computers in Education
EditorsMaria Mercedes T Rodrigo, Sridhar Iyer, Antonija Mitrovic
Place of PublicationTaiwan
PublisherAsia-Pacific Society for Computers in Education
Pages632-637
Number of pages6
Volume1
Edition1
ISBN (Electronic)978-986-97214-7-9
Publication statusPublished - 22 Nov 2021
Event29th International Conference on Computers in education - Virutal, Thailand
Duration: 22 Nov 202126 Nov 2021
Conference number: 29
https://icce2021.apsce.net

Conference

Conference29th International Conference on Computers in education
Abbreviated titleICCE2021
CountryThailand
Period22/11/2126/11/21
Internet address

Fingerprint

Dive into the research topics of 'The M in STEM and Issues of Data Literacy'. Together they form a unique fingerprint.

Cite this