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Academic Publication Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI
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Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI
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Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced A...
The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence
AbstractThis paper presents a multidimensional view of AI's role in education, emphasising the intricate interplay among AI, analytics and human learning processes. Here, I challenge the prevalent ...
AI-driven learning analytics applications and tools in computer-supported collaborative learning: A systematic review
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Predictive analytics for market trends using AI: A study in consumer behavior
Predictive analytics, driven by artificial intelligence (AI), is revolutionizing the understanding and forecasting of market trends, particularly in the realm of consumer behavior. This study explo...
Frequently Asked Questions (FAQ)
Curated market intelligence mapped to this research.
What is the core focus of the research titled 'Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI'?
This literature focuses on:
Are there open-source GitHub repositories related to Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI?
Yes, open-source projects like THU-MAIC/OpenMAIC (Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click) are actively building upon these concepts.
Which startups are commercializing the technology behind Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI?
Products like u2m.io are bringing this to market. Their focus is: Free URL shortener with bulk API, QR code, and geo analytics.
What other academic literature is closely related to 'Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI'?
Yes, highly correlated activity was mapped. An entry titled 'Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI' discusses this: No description provided.
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Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
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GitHubTHU-MAIC/OpenMAIC
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GitHubEKKOLearnAI/hermes-web-ui
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Product Huntu2m.io
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Product HuntMetabase Data Studio
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