Designing Effective LLM-Assisted Interfaces for Curriculum Development
Project Overview
The document explores the transformative role of generative AI, specifically Large Language Models (LLMs), in the field of education, particularly in curriculum development. It addresses the challenges educators encounter when utilizing LLMs, primarily due to difficulties in prompt engineering and overall usability. To mitigate these issues, the authors propose two innovative user interface designs: UI Predefined and UI Open, which are intended to enhance usability and lessen cognitive load for educators. Findings from a user study indicate that the UI Predefined design significantly improves usability and reduces the workload for educators compared to more traditional interfaces like ChatGPT. This research underscores the potential for generative AI to facilitate educational processes, while also highlighting the importance of user-friendly designs to maximize its effectiveness in academic settings. Through these advancements, the document illustrates how generative AI can be effectively integrated into educational practices, ultimately aiming to streamline curriculum development and enhance the teaching experience.
Key Applications
UI Predefined and UI Open
Context: Designed for educators involved in curriculum development and course outline creation.
Implementation: Developed using Direct Manipulation principles to create user-friendly interfaces that reduce reliance on complex prompts.
Outcomes: UI Predefined showed significantly improved usability and reduced cognitive load compared to ChatGPT. UI Open offered flexibility but with a steeper learning curve.
Challenges: Initial limitations in user-friendliness of LLM interfaces and the complexity of interactions.
Implementation Barriers
User Interface Complexity
Text-based UIs for LLMs are often not user-friendly, leading to higher cognitive load and difficulty in interaction.
Proposed Solutions: Implementing user-friendly designs based on Direct Manipulation principles to facilitate better interaction.
Output Quality Issues
LLMs may produce inaccurate or ethically questionable outputs, raising concerns about the quality of educational content.
Proposed Solutions: Incorporating human oversight and ensuring collaboration between educators and AI to verify and validate outputs.
Project Team
Abdolali Faraji
Researcher
Mohammadreza Tavakoli
Researcher
Mohammad Moein
Researcher
Mohammadreza Molavi
Researcher
Gábor Kismihók
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Abdolali Faraji, Mohammadreza Tavakoli, Mohammad Moein, Mohammadreza Molavi, Gábor Kismihók
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai