May 21, 2024 · We developed a model for task completion prediction, resulting in 77.21% balanced accuracy. Additionally, the incorporation of eXplainable AI ( ...
May 24, 2024 · We developed a model for task completion prediction, resulting in 77.21% balanced accuracy. Additionally, the incorporation of eXplainable AI ( ...
ABSTRACT. Serious Games (SGs) enable the collection of valuable student in- teraction data, allowing for the analysis of student performance.
Utilizing Explainable AI to Enhance Real-time Student Performance Prediction in Educational Serious Games ; ISBN · 9798400702433 ; Year of publication · 2024 ; Pages ...
It is designed as a rule-based, short-term decision making algorithm, proposes game progress as a reliable learning progress indicator, and adapts to both under ...
Missing: Student | Show results with:Student
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AI has the potential to transform the social interactions in educational contexts among learners, teachers, and technologies. In this systematic mapping review, ...
AI-driven serious games are expected to be a popular source to inspire the development and design of nearly realistic health-related and preventive ...
Missing: Utilizing Student
We use SHAP, a game-theory-based framework, to explain the model's predictions to help the stakeholders understand the impact of different programming behaviors ...
Missing: Serious | Show results with:Serious
Abstract: This study investigates how Artificial Intelligence (AI) can support student assessment in computing education through a systematic literature ...
Aug 28, 2023 · Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course.