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将数据和人工智能素养融入学习路径.pdf

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1、Integrating Data and AI Literacy in Learning PathwaysDavide TaibiSenior researcher,National Research Council of Italy-Institute for Educational TechnologyWho am I?Davide Taibi is a senior researcher of the Institute for Educational Technology at the National Research Council of Italy.His research ac

2、tivities are mainly focused on the application of innovative technologies in the educational field,with particular emphasis on mobile learning,the semantic web and linked data for education,standards for educational process design,learning analytics,open science,augmented reality,and AI in education

3、.He coordinated in the years 2019-2022 the projects DATALIT-Data Literacy at the interface of higher education and business,Erasmus+,Knowledge Alliances for higher education,and DEDALUS-DEveloping DAta Literacy courses for University Students,Erasmus+,KA2 Strategic Partnership for higher education.A

4、t present,he is coordinating SMERALDSMEs Raising Awareness and Learning on Digital Data,Data Analysis,and Artificial Intelligenceand IDEALIntegrating Data Analysis and AI in Learning Experiences,two Erasmus+Cooperation partnerships projects,respectively,in the Vocational Education and Training and H

5、igher Education sectors.Something moreContract professor of Open Data Management at the University of PalermoCo-founder of OnData,NGO promoting initiatives related to Open Data and Open Government in ItalyMember of opendatasicilia,an online community on Open Data and civic engagementhttps:/opendatas

6、icilia.ithttp:/ondata.itWhat is data literacy?“Data literacy is the ability to read,write,critically assess,and communicate data in context,including an understanding of data sources and constructs,analytical methods and techniques applied and the ability to describe the use case,application,resulti

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根据报告的内容,全文主要内容概括如下: - **作者背景**:Davide Taibi,意大利国家研究委员会教育技术研究所高级研究员,专注于教育领域创新技术的应用。 - **数据素养定义**:数据素养是指阅读、编写、批判性地评估和交流数据的能力,包括理解数据来源、分析方法和应用。 - **项目经验**:Taibi参与了多个欧盟资助项目,如DATALIT、DEDALUS、SMERALD和IDEAL,旨在提升数据素养和AI素养。 - **项目成果**:包括共同课程大纲、数据素养功能能力、数据与AI素养及软技能。 - **试点活动**:在大学、企业和职业教育中实施试点活动,以调查数据素养学习路径的引入。 - **案例研究**:以帕勒莫大学的开放数据管理课程为例,展示如何教授数据素养。 - **影响**:项目产生了长期和短期的影响,包括数据分析和AI在学习和教育中的应用。
未来职场必备技能?" "AI时代,如何提升数据解读力?" "开放数据,开启创新之门?"
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