Exploring ChatGPT's Role in Instructional Design: A Study on AI-Assisted Media Selection

What is it about?

This study explores the potential of ChatGPT to aid instructional design (ID) by comparing its media selection recommendations with traditional methods, demonstrating its ability to offer diverse insights and expedite the selection process while also emphasizing the need for careful evaluation of its outputs and training biases.

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Why is it important?

This study underscores the transformative potential of ChatGPT in ID, particularly in streamlining the complex and crucial process of media selection. By comparing ChatGPT’s media recommendations with those derived from traditional methods, the findings highlight ChatGPT’s ability to provide varied and insightful suggestions that could enrich the instructional process. This comparison not only demonstrates ChatGPT’s capacity to analyze and recommend suitable instructional delivery systems efficiently but also raises critical discussions around evaluating the generative artificial intelligence’s (AI) outputs, inputs, and the biases inherent in its training data. The importance of these findings lies in their implication for future ID practices, suggesting that integrating generative AI like ChatGPT could significantly benefit the field. However, it also calls for a cautious approach, emphasizing the need for ongoing exploration and understanding of generative AI’s integration, capabilities, and limitations within ID.

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