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 all aspects of learning in organizations, debunking myths and misconceptions, discussing learning theory, and giving strategic and practical advice on how to use AI. It includes specific guidance on how AI can provide learning support, chatbot functionality, content, and ethics and personalization.

Format: Hardback
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 in learning environments can be a complex and challenging task. This guide aims to provide learning professionals with the necessary knowledge and skills 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 complex and mysterious technology that is only suitable for large organizations or specialized tasks. However, the truth is that AI is accessible and affordable for organizations of all sizes and can be used to improve a wide range of learning activities.

One of the learning theories behind generative AI is the idea that AI can create new content and knowledge. This can be done by analyzing large amounts of data and identifying patterns and relationships. Generative AI can then use this information to create new content, such as articles, videos, and podcasts, that can be used to teach students and employees.

Another important aspect of AI in learning is chatbot functionality. Chatbots can provide students and employees with instant access to information and support. They can be used to answer questions, provide guidance, and even help with course registration. Chatbots can be customized to meet the specific needs of each organization and can be integrated with other learning technologies.

Content is another important aspect of AI in learning. AI can be used to analyze large amounts of data and identify the most relevant and effective content for a particular audience. This can be done by using natural language processing (NLP) and machine learning (ML) algorithms. AI can then use this information to create personalized learning experiences that are tailored to the individual needs of each student or employee.

Ethics and personalization are also important aspects of AI in learning. AI can be used to collect and analyze personal data, which can raise concerns about privacy and security. Learning professionals must ensure that they are using AI in a ethical and responsible manner and that they are protecting the privacy of their students and employees.

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 ethical and responsible manner.

Despite these challenges, implementing AI in learning can have numerous benefits. AI can improve the efficiency of learning, reduce the cost of training, and increase the engagement of students and employees. It can also provide personalized learning experiences that are tailored to the individual needs of each student or employee.

To implement AI in learning, learning professionals must first understand the learning theory behind generative AI. They must then identify the specific needs of their organization and develop a strategy for using AI to meet those needs. They must also invest in the necessary hardware, software, and training to use AI effectively and manage the data and ensure that it is used in a ethical and responsible manner.

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 manage the data and ensure that it is used in a ethical and responsible manner.

Dimension: 234 x 156 (mm)
ISBN-13: 9781398615779
Edition number: 2 Revised edition