Moving Towards More Authentic Learning Experiences – Stream 5: Personalised Coach and Performance Support

Stream 5 Overview

Research stream 5 relates to the use of AI for the purpose of facilitating authentic and personalised coaching experiences. Topics include how conversational AI can be further developed to provide engaging experiences for users in contexts such as conversational learning, personalised tutoring, feedback and support. Elements of the AI coaching experience to be researched also include links to personalised learning, access to resources, just-in-time information, nudging, how AI can be used to scaffold motivation, and how an authentic relationship can be developed between a user and an AI coach such as a chatbot.

AI for coaching refers to the use of artificial intelligence (AI) technologies to support and enhance coaching processes in various domains, including personal development, professional coaching, and learning. The research will involve ways in which AI can be applied to coaching which are linked to the other research streams such as:

• Personalised Feedback:
  • AI systems can analyse data related to an individual’s performance, behaviour, or habits and provide personalised feedback. This feedback can help individuals understand their strengths and weaknesses and guide them on areas for improvement, particularly with regard to learning and assessment.
• Virtual Coaches:
  • AI-powered virtual coaches can simulate coaching interactions. These virtual coaches can engage in conversations with users, ask questions, and provide guidance based on the user’s responses. These systems can be available 24/7, providing continuous support.
• Performance Analytics:
  • AI can analyse performance data, whether it’s related to work or personal goals. This analysis can help in identifying patterns, trends, and areas where improvements can be made.
• Goal Setting and Monitoring:
  • AI can assist in setting realistic and achievable goals based on individual capabilities and objectives. The system can then monitor progress over time and provide feedback on learners’ goal attainment.
• Skill Development:
  • AI can create personalised learning paths for skill development. By assessing an individual’s current skill level, AI systems can recommend specific exercises, activities, or resources to help in skill enhancement.
• Behavioural Change Support:
  • AI can support individuals in making behavioural changes by providing reminders, motivational messages, and reinforcement based on their progress and goals.