From Singular Design to Differentiation: A History of Adaptive Systems

From Singular Design to Differentiation: A History of Adaptive Systems
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从单一设计到差异化:自适应系统的历史

DOI:
10.1007/s11528-022-00702-3
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发表时间:
2022
期刊:
影响因子:
2.5
通讯作者:
Gish-Lieberman, Jaclyn J.
Gish-Lieberman, Jaclyn J.
中科院分区:
--
文献类型:
--
作者:
Gatewood, Jessica;Tawfik, Andrew;Gish-Lieberman, Jaclyn J.

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差异教学主张教师应根据学习者的个体差异采取不同的教学策略。然而,这是具有挑战性的,由于课堂和上下文变量的各种限制。自适应系统为这一挑战提供了解决方案,特别是随着教学越来越多地转向在线格式。具体来说,自适应系统使用人工智能来调整内容或界面呈现以适应学习者的个人需求。历史回顾表明,随着时间的推移,以下四种不同的适应性系统的方法已经出现:适应认知能力,学习风格(揭穿),情感状态和外部环境。
Differentiated instruction contends that teachers should vary their instructional strategies to match the learners’ individual differences. However, this is challenging due to various constraints of classroom and contextual variables. Adaptive systems offer a solution to this challenge, especially as instruction has increasingly moved towards an online format. Specifically, adaptive systems use artificial intelligence to adapt content or interface presentation to the individual needs of the learner. A historical review suggests that the following four different approaches to adaptive systems have emerged over time: adaption to cognitive abilities, learning styles (debunked), affective states, and external environments.
自适应技术
DOI: --
发表时间: 2007
期刊:
影响因子: --
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V. Shute;Diego Zapata;C. Brooks;C. Conati;J. Greer;G. McCalla;Tanja Mitrovic;A. Jameson;J. Kay;Julita Vassileva
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