Enhancing the Campbell-Oblinger Model: Integrating Generative AI at Each Step of Learning Analytics
Year: 2024
Type: article
Abstract: : This paper explores the potential of Generative Artificial Intelligence (GenAI) to revolutionize learning analytics by integrating it into each stage of the Campbell-Oblinger Five- Step Model. This model, renowned for its comprehensiveness and flexibility, provides a robustframework for implementing learning analytics across diverse educational settings. This research investigates the specific applications of GenAI at each stage of the model, including data capture, reporting, prediction, intervention, and refinement. Additionally, this paper performs a comparative analysis between traditional human-driven approaches and their corresponding GenAI benchmarks, highlighting the potential benefits and challenges associated with GenAI integration. By examining the transformative potential of GenAI within the framework of the established CampbellOblinger model, this study aims to contribute valuable insights to the field of learning analytics and inform future research endeavors.
Author: Anish Marade
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4401467579