H2O学习-混合和以人为本的学习:用于混合教育的可信赖和以人为本的学习分析(TaHCLA)

C. D. Kloos, Y. Dimitriadis, D. Hernández‐Leo, C. Alario-Hoyos, A. Martínez-Monés, P. Santos, P. Muñoz-Merino, Juan I. Asensio-Pérez, Lluís Vicent Safont
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引用次数: 3

摘要

本文介绍了H2O Learn(混合和以人为本的学习)项目,这是一个由西班牙研究机构资助的协调研究项目,该项目于2021年刚刚开始,将持续三年。H2O Learn项目的主要目标是构建可信赖和以人为中心的学习分析(TaHCLA)解决方案,以支持人类利益相关者在混合式学习(HL)中设计、编排和(自我、社会或共同)调节学习。H2O Learn的贡献考虑了值得信赖的人工智能(AI)的关键要求,如欧盟委员会所定义的:1)培养人类(即教师、学习者……)的代理;2)提高学习分析(LA)系统的透明度;3)寻求社会情感和包容性福祉;4)通过对算法和设计过程进行评估来促进问责制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
H2O Learn - Hybrid and Human-Oriented Learning: Trustworthy and Human-Centered Learning Analytics (TaHCLA) for Hybrid Education
This paper presents the H2O Learn (Hybrid and Human-Oriented Learning) project, a coordinated research project funded by the Spanish Research Agency, which just started in 2021 and will last for three years. The main goal of the H2O Learn project is to build Trustworthy and Human-Centered Learning Analytics (TaHCLA) solutions to support human stakeholders when designing, orchestrating and (self-,socially- or co-) regulating learning in Hybrid Learning (HL). The contributions of H2O Learn consider key requirements for trustworthy Artificial Intelligence (AI), as defined by the European Commission: 1) fostering human (i.e., teachers, learners…) agency; 2) enabling transparency of the Learning Analytics (LA) systems; 3) seeking socio-emotional and inclusive wellbeing; and 4) promoting accountability by enabling the assessment of algorithms and design processes.
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