| The aim of this module is to support future educators in developing an informed and critical understanding of Artificial Intelligence (AI) and data science through hands-on, inquiry-based activities.Specifically, the module aims to:familiarize participants with how data are created, prepared, and used in AI systems,expose participants to educational applications of data science using accessible tools such as Teachable Machine,support reflection on the limitations, assumptions, and ethical implications of AI technologies in real-world contexts,help participants connect data science practices with teaching, problem-solving, and decision-making in education. |
Course Content
Section 1
Pre Survey
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RPS – Module Overview
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RPS – Introduction/Motivation
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RPS – Get & explore data
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RPS – Formulate the Problem
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RPS – Model/analyze data
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RPS – Communicate results and engage in an action plan
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RPS – Module reflections
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RPS – Annexes
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Satisfaction Survey
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DATASETUP Module Experience Reflection (submission required in order for the certificate of participation to be made available)
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