Enhancing the Campbell-Oblinger Model: Integrating Generative AI at Each Step of Learning Analytics

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.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-08-09
DOI
https://doi.org/10.22214/ijraset.2024.63898
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
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article

Enhancing the Campbell-Oblinger Model: Integrating Generative AI at Each Step of Learning Analytics

Anish Marade
International Journal for Research in Applied Science and Engineering Technology
Online Learning and Analytics
article

Enhancing the Campbell-Oblinger Model: Integrating Generative AI at Each Step of Learning Analytics

Anish Marade
article en

Abstract

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.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(8)
Quality Education
Openalex Percentile: Top 86%
Online Learning and Analytics
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