  This paper introduces "GAIDE: Generative AI for Instructional Development and
Education," a novel framework for using Generative AI (GenAI) to enhance
educational content creation. GAIDE stands out by offering a practical approach
for educators to produce diverse, engaging, and academically rigorous
materials. It integrates GenAI into curriculum design, easing the workload of
instructors and elevating material quality. With GAIDE, we present a distinct,
adaptable model that harnesses technological progress in education, marking a
step towards more efficient instructional development. Motivated by the demand
for innovative educational content and the rise of GenAI use among students,
this research tackles the challenge of adapting and integrating technology into
teaching. GAIDE aims to streamline content development, encourage the creation
of dynamic materials, and demonstrate GenAI's utility in instructional design.
The framework is grounded in constructivist learning theory and TPCK,
emphasizing the importance of integrating technology in a manner that
complements pedagogical goals and content knowledge. Our approach aids
educators in crafting effective GenAI prompts and guides them through
interactions with GenAI tools, both of which are critical for generating
high-quality, contextually appropriate content. Initial evaluations indicate
GAIDE reduces time and effort in content creation, without compromising on the
breadth or depth of the content. Moreover, the use of GenAI has shown promise
in deterring conventional cheating methods, suggesting a positive impact on
academic integrity and student engagement.
