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Computer Science, Human-Computer Interaction

Human-AI Interaction in Education: Exploring the Impact of Large Language Models

Human-AI Interaction in Education: Exploring the Impact of Large Language Models

The use of multiple conversational agents in learning can provide diverse social roles to enhance the learner’s experience. By adopting this approach, educators can create a more interactive and engaging learning environment. In this article, we explore how different conversational partners can help learners understand complex concepts better. For instance, a sceptic agent can challenge a learner’s responses to ensure a robust understanding, while an encouraging agent provides positive reinforcement. A mentor agent can offer additional guidance and connect concepts to real-world examples. By utilizing multiple conversational agents, learners can benefit from different perspectives and gain a deeper comprehension of the material.

3.1 Differing Social Roles in Conversations

Prior research has shown that varying the social role of an agent can impact how learners perceive human-AI collaboration. By adopting multiple conversational agents with distinct roles, we can take advantage of this affordance and create a more dynamic learning experience. For example, a learner may be conversing with multiple agents, such as a sceptic, encouraging, and mentor agent. Each agent can provide unique insights and challenges the learner to think critically about the material.

3.2 Conversational Partners with Different Roles

In a scenario where a learner is required to explain and discuss a complex scientific concept, they could be conversing with multiple agents that provide different roles. A sceptic agent can challenge the learner’s responses to ensure they have a robust understanding, while an encouraging agent provides positive reinforcement and highlights their progress. Additionally, a mentor agent can offer additional guidance and connect concepts to real-world examples, providing a more comprehensive learning experience.
In conclusion, the use of multiple conversational agents in learning can provide diverse social roles that enhance the learner’s experience. By adopting this approach, educators can create a more interactive and engaging learning environment that helps learners understand complex concepts better.