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Titlebook: Artificial Intelligence Education in the Context of Work; Dirk Ifenthaler,Sabine Seufert Book 2022 The Editor(s) (if applicable) and The A

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樓主: LANK
21#
發(fā)表于 2025-3-25 04:51:52 | 只看該作者
22#
發(fā)表于 2025-3-25 10:39:05 | 只看該作者
Knowledge Architecture for Organisationsfic challenges that have appeared for L&D at IBM. Because AI-based LXPs are continuously evolving, successful adoption is an ongoing concern. These AI-specific characteristics require new ways of working, investments, and sustainable role changes for L&D. Thus, introducing and maintaining an AI-based LXP is far from plug-and-play.
23#
發(fā)表于 2025-3-25 13:04:19 | 只看該作者
Not Plug-and-Play: Successful Adoption of an AI-Based Learning Experience Platformfic challenges that have appeared for L&D at IBM. Because AI-based LXPs are continuously evolving, successful adoption is an ongoing concern. These AI-specific characteristics require new ways of working, investments, and sustainable role changes for L&D. Thus, introducing and maintaining an AI-based LXP is far from plug-and-play.
24#
發(fā)表于 2025-3-25 16:00:42 | 只看該作者
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發(fā)表于 2025-3-25 23:04:10 | 只看該作者
26#
發(fā)表于 2025-3-26 01:14:32 | 只看該作者
uman-computer interaction, and intelligent tutoring systems, the argument for situated software learning will be presented. This argument will be considered through the lens of technology integration by classroom teachers, as this population has an urgent and unfilled need for training that does not require more time or resources.
27#
發(fā)表于 2025-3-26 05:26:58 | 只看該作者
28#
發(fā)表于 2025-3-26 12:07:18 | 只看該作者
29#
發(fā)表于 2025-3-26 15:28:19 | 只看該作者
Knowledge State Networks for Skill Assessment in Atomic Learningarison to standard assessment designs. In practice, the methods enable personalized, skill-based online learning also for skill ontologies of fine granularity without deteriorating the associated learning experience by a lengthy assessment process.
30#
發(fā)表于 2025-3-26 18:52:50 | 只看該作者
AI-Enhanced Interfaces as Informal Guidesuman-computer interaction, and intelligent tutoring systems, the argument for situated software learning will be presented. This argument will be considered through the lens of technology integration by classroom teachers, as this population has an urgent and unfilled need for training that does not require more time or resources.
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