Integrating ERNIE Bot in Teaching and Learning Scenarios: Optimizing the Impact of Effective Prompts

Research output: Other contributionpeer-review

Abstract

The ERNIE Bot, a user-friendly and readily accessible AI tool, has the potential to assist teachers in language teaching and learning in various ways. It can catalyze to streamline teachers’ workflow, catering to students’ individual needs and abilities, and enriching the learning experience through a variety of pedagogical approaches. As a large language model (LLM), the effectiveness of prompts crafted by teachers has substantial impacts on the generated outcomes. It is important to acknowledge that certain prompts may not yield the desired results initially, and some may exhibit slightly varied outputs. In such cases, the consideration of regenerating the output or reframing the prompt becomes essential to guide the AI in producing responses aligned with teachers’ expectations. This article, therefore, will explore effective strategies for steering conversations and writing prompts to optimize the ERNIE Bot’s success in creating high-quality teaching and learning materials.
Original languageEnglish
TypeCentre for Educational Innovation and Excellence (CEIE)
Publication statusPublished - 27 Feb 2024

Keywords

  • ERNIE Bot
  • large language model (LLM)
  • effective prompt(s)
  • regenerate and reframe

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