Deploying AI Technology for Effective Teaching and Learning: The Need to Always Verify Information Gathered from Generative AI Tools

Abstract

From virtual assistants to chatbots, AI just keeps getting smarter with more functionalities than before. This technology has changed the way we interact with both humans and machines. As this evolution continues, there's a constant need to improve the communication between humans and machines. Understanding how to effectively communicate with AI, will not only enable us to extract relevant information but also allow us to gain new insights. To fully reap these advantages, understanding prompt engineering is essential. This research explored the effectiveness of prompt engineering for effective teaching and learning. It also explored the deficiencies inherent in some of these generative AI tools such as ChatGPT, Google Bard, Claude, Diffit, and Riff and their possible impact on the quality of research findings conducted using them. In addition, this research also explored different categories of prompts and the design principles that can be used to generate effective prompts