Skip navigation
Artificial Intelligence for Learning
Book

Artificial Intelligence for Learning

Using AI and Generative AI to Support Learner Development

Kogan Page, 2024 more...

Buy the book


Editorial Rating

8

getAbstract Rating

  • Comprehensive
  • Analytical
  • Applicable

Recommendation

Society is periodically rocked by technology-driven revolutions that upend the status quo. The latest of these history-altering eras, known as the “Fourth Industrial Revolution,” began with the advent of digital technologies, including the development of artificial intelligence (AI). AI’s rise has already altered work, industry, and daily life profoundly. According to AI learning expert Donald Clark, it is also on track to reshape education. AI isn’t just transforming the how, why, and what of learning, Clark argues; it’s unleashing a “cognitive revolution” that’s changing how people think.

Summary

Artificial intelligence (AI) reflects humanity’s strengths and shortcomings.

Historically, people have imagined the AI of the future in crude, mechanical, science fiction-type ways. For instance, when people speculated on AI as it might relate to education, they often pictured anthropomorphized robots: the idea of a human-looking robot paired with the notion that AI would have human-like understanding, subjectivity, and consciousness — which the AI that exists today in no way possesses.

Modern AI is not a distinct entity, but rather, a collection of concepts and technologies that people can apply to — and sometimes use to solve problems in — diverse fields, including engineering, health care, and education. Importantly, today’s AI tools are a far cry from the kind of autonomous artificial general intelligence (AGI) that humanity has, at times, imagined taking over the world for its own self-directed purposes. Indeed, ascribing the term “artificial intelligence” to today’s technology is probably misleading. Generative AI is really just software trained on vast amounts of data gleaned...

About the Author

Donald Clark is an entrepreneur, global speaker, blogger, adviser, and researcher on AI learning. He is the author of Learning Experience DesignLearning Technology; and Learning and the Metaverse


Comment on this summary

More on this topic

Related Skills

人工智能转型,实施基于人工智能的流程优化,跨部门整合人工智能解决方案,评估企业采用人工智能的准备情况
发现人工智能的应用案例,识别商业中潜在的人工智能应用,探索人工智能在工作场所改进中的可能性,分析人工
人力资源
利用人工智能进行人力资源管理,将人工智能洞察融入人力资源战略,实施自动化人力资源数据分析系统,利用人
利用人工智能进行营销,识别营销中的人工智能应用机会,评估用于营销洞察的人工智能工具,比较用于营销任务
在日常任务中利用人工智能,将人工智能工具整合到工作流程中,使用人工智能自动化重复性任务,利用人工智能
市场营销
理解人工智能,向同事解释基本的人工智能概念,区分人工智能与传统软件解决方案,总结人工智能在现代工作场
职场技能
利用人工智能进行学习与发展,将人工智能工具整合到培训项目中,通过人工智能洞察提升员工成长,利用人工智
利用人工智能进行学习和技能提升,寻找员工培训的人工智能工具,将人工智能融入学习计划,利用人工智能进行
使用人工智能生成营销内容,实施人工智能工具进行内容创作,利用人工智能算法自动化内容,使用人工智能技术
以德驾驭 AI
了解人工智能对学习和认知的影响,评估人工智能对教育方法的影响,评估人工智能工具对认知发展的作用,认识
理解人工智能的伦理影响,导航人工智能开发中的伦理考虑,评估人工智能对数据隐私的影响,预见人工智能算法
发现教育领域的人工智能应用案例,识别学校中的人工智能应用,分析人工智能对教育系统的好处,利用人工智能
了解生成性人工智能,识别生成性人工智能机会,探索生成性人工智能的应用,生成性人工智能在商业中的案例研