Enhancing Educational Data Mining through Discrete Visualization of Artificially Intelligent Chat Bots

Potential Abstract:
Chat bots are increasingly being integrated into educational platforms to assist students in their learning process. These artificially intelligent agents have the potential to provide personalized and timely support to learners. However, the vast amount of data generated by these interactions can be overwhelming for educators to analyze effectively. Educational data mining techniques offer a valuable approach to extract meaningful insights from this data, but the challenge lies in how to visualize discrete patterns and trends in a user-friendly manner.

In this study, we propose a novel approach to enhance educational data mining through the discrete visualization of interactions with chat bots. By applying advanced machine learning algorithms, we aim to uncover hidden patterns in student engagement and performance. Our visualization techniques will allow educators to easily interpret the data and make informed decisions to improve learning outcomes.

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