Artificial Intelligence for Learning: Using AI and Generative AI to Support Learner Development

Artificial Intelligence for Learning provides learning professionals with the knowledge and skills to use AI to improve learning in organizations, debunking myths and misconceptions, discussing learning theory, and offering strategic and practical advice. It includes guidance on learning support, chatbot functionality, content, ethics, and personalization.

Format: Paperback / softback
Length: 312 pages
Publication date: 03 May 2024
Publisher: Kogan Page Ltd

Artificial Intelligence (AI) has the potential to revolutionize the learning and employee development landscape, offering numerous opportunities for growth and improvement. However, implementing AI into learning environments can be a complex and challenging task. This guide aims to provide learning professionals with the knowledge and skills they need to effectively use AI in their work.

One of the key challenges of implementing AI in learning is the myth and misconception surrounding it. Many people believe that AI is a magic bullet that can solve all learning problems, but this is not the case. AI is a powerful tool that can be used to enhance learning, but it requires careful planning and implementation.

One of the learning theories behind generative AI is the idea that learning is a process of creating and manipulating information. Generative AI can be used to create personalized learning experiences that are tailored to the individual needs of learners. This can include chatbot functionality, content creation, and content delivery.

Another important aspect of implementing AI in learning is the ethical considerations. AI can be used to collect and analyze large amounts of data, which can raise concerns about privacy and security. Learning professionals must ensure that they are using AI in a responsible and ethical manner.

In addition to these challenges, implementing AI in learning can also be expensive. Learning professionals must invest in the necessary hardware, software, and training to use AI effectively. They must also be able to manage the data and ensure that it is used in a way that is consistent with their learning goals.

Despite these challenges, implementing AI in learning can have numerous benefits. For example, AI can help learners to learn more effectively and efficiently. It can also help learners to develop new skills and knowledge. AI can also help learners to stay engaged and motivated.

To implement AI in learning, learning professionals must first understand the learning theory behind generative AI. They must then develop a strategic plan for how AI will be used in their learning environment. They must then invest in the necessary hardware, software, and training to use AI effectively. They must also be able to manage the data and ensure that it is used in a way that is consistent with their learning goals.

In conclusion, Artificial Intelligence for Learning is the essential guide for learning professionals who want to understand how to use AI to improve all aspects of learning in organizations. This new edition debunks the myths and misconceptions around AI, discusses the learning theory behind generative AI and gives strategic and practical advice on how AI can be used. This book also includes specific guidance on how AI can provide learning support, chatbot functionality and content, as well as ideas on ethics and personalization. Learning professionals must invest in the necessary hardware, software, and training to use AI effectively and must be able to manage the data and ensure that it is used in a way that is consistent with their learning goals.

Weight: 474g
Dimension: 157 x 234 x 19 (mm)
ISBN-13: 9781398615663
Edition number: 2 Revised edition