Developing Computational Thinking on AI and Big Data Era for Digital Society - Recommendations from APEC InMside I Project

Developing Computational Thinking on AI and Big Data Era
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Developing Computational Thinking on AI and Big Data Era for Digital Society - Recommendations from APEC InMside I Project

Publication Number

APEC#221-HR-01.1

Published Date

March 2021

Type of Publication

Reports

Publications Under

SOM Steering Committee on Economic and Technical Cooperation(SCE), Human Resources Development(HRDWG)

Accessed

641

Pages

57

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Description

After a steering meeting in Japan, seminar in Chile and synthesis meeting in Thailand in 2019, the final report for the project Inclusive Mathematics for Sustainability in a Digital Economy (InMside) proposed recommendations for curriculum reform on computational thinking and statistical thinking to all APEC member economies to establish a digital society. Chapter 1 of this report describes the general framework for human competency to lead, work and live under a digital society. Chapter 2 presents the recommendations to develop computational thinking with the exemplar under the computational thinking framework consists of programing, computational models and machine learning (AI). Finally, chapter 3 presents the recommendations to develop statistical thinking with its exemplar under the statistical thinking framework for handing Neyman Pearson Statistics, Bayesian Statistics and Data Science (Big Data). These frameworks were developed for all school levels from primary education to high school education and exemplar were proposed to support the high school curriculum reform.