AI-Empowered Instructional Design: Current Implementations, Systemic Challenges, and Emerging Paradigms
Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) technology is deeply reshaping the field of education, and its application in instructional design has become the core driving force for the change of teaching mode.In this paper, it sorts out the multi-dimensional practice of AI in instructional design, and reveal that the current application faces three challenges: insufficient adaptability of technology integration and resistance to systematic change, lagging teachers' digital literacy, and the risk of data privacy and algorithmic ethics.With respect to the problem, strategies are proposed to strengthen technology research and development and interdisciplinary innovation, improve the teacher training system, and build a data security mechanism.In the future, AI in teaching design will evolve in the direction of deepening human-machine collaboration, intelligent and precise teaching and research, interdisciplinary integration, upgrading of interpersonal learning experience, and providing theoretical support and practical paradigms for the digital transformation of education.
Author: Huimin Xu
Institution: Guangxi Normal University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W7084089521