Potential Abstract:
Abstract: This research study explores the potential causal relationships between educational milieu, textual content, and cryptocurrency within the context of machine learning applications. With the increasing integration of technology and digital platforms in educational settings, there is a growing interest in understanding the impact of various environmental factors on student learning outcomes and behaviors. This study aims to leverage machine learning techniques to analyze textual data from educational resources and discussions related to cryptocurrency to uncover potential causal links with the overall educational milieu. By applying causal inference methods to large datasets of text and cryptocurrency transactions, we seek to identify key factors that may influence student engagement, learning performance, and decision-making processes within educational environments. This research contributes to the emerging field of educational data mining by providing insights into the complex interplay between technology, texts, and student experiences.
Potential References:
- Applying Causal Inference in Educational Data Mining: A Pilot Study.
- Causal Inference in Educational Data Mining
- Leveraging Causal Reasoning in Educational Data Mining: An Analysis of Brazilian Secondary Education
- Knowledge Discovery: Methods from data mining and machine learning
- Data mining for education
