CYAIFeb 28, 2025

Experiences with Content Development and Assessment Design in the Era of GenAI

arXiv:2503.00081v13 citationsh-index: 12CSEE
Originality Synthesis-oriented
AI Analysis

This addresses the challenge for educators in adapting to AI tools to maintain assessment integrity and content relevance in higher education, but it is incremental as it builds on existing AI applications.

The paper explores using generative AI to design educational content and assessments, finding that effective prompts, fine-tuning, and expert evaluation are crucial for ensuring quality.

Generative Artificial Intelligence (GenAI) has the potential to transform higher education by generating human-like content. The advancement in GenAI has revolutionised several aspects of education, especially subject and assessment design. In this era, it is crucial to design assessments that challenge students and cannot be solved using GenAI tools. This makes it necessary to update the educational content with rapidly evolving technology. The assessment plays a significant role in ensuring the students learning, as it encourages students to engage actively, leading to the achievement of learning outcomes. The paper intends to determine how effectively GenAI can design a subject, including lectures, labs and assessments, using prompts and custom-based training. This paper aims to elucidate the direction to educators so they can leverage GenAI to create subject content. Additionally, we provided our experiential learning for educators to develop content, highlighting the importance of prompts and fine-tuning to ensure output quality. It has also been observed that expert evaluation is essential for assessing the quality of GenAI-generated materials throughout the content generation process.

Foundations

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