„User Action Processing“
Suchergebnisse
1.000+ Treffer
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Co-producing AIED Ethics Under Lockdown: an Empirical Study of Deliberative Democracy in Action
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Learning medicine through collaboration and action: collaborative, experiential, networked learning environments
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Automated Field Usability Evaluation Using Generated Task Trees
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Foreword to the special issue on mining actionable insights from online user generated content
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Adopting generative AI in K-12 teaching and learning: Australian teachers’ actions through the lens of innovation theory
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Improving reading and writing skills of refugee primary school students via educational digital game: an action research
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How latency, action modality and display modality influence the sense of agency: a virtual reality study
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Robots, institutional roles and joint action: some key ethical issues
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Does mixed reality influence joint action? Impact of the mixed reality setup on users’ behavior and spatial interaction
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Computational thinking with game design: An action research study with middle school students
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Evaluating the student performance prediction and action framework through a learning analytics intervention study
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Variable Hybrid Action Space Deep Q-Networks for Optimal Power Allocation and User Association in Heterogeneous Networks
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Factors affecting online accounting education during the COVID-19 pandemic: an integrated perspective of social capital theory, the theory of reasoned action and the technology acceptance model
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From virtual to physical environments when judging action opportunities: are diagnostics and trainings transferable?
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Modeling user action planning: A comprehension based approach
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Video based action detection for online exam proctoring in resource-constrained settings
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The responsibility gap: Ascribing responsibility for the actions of learning automata
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Analytics in der Industrie – Schlüsseltechnologie für die digitale Transformation
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Identifying collaborative problem-solver profiles based on collaborative processing time, actions and skills on a computer-based task
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Framework for suggesting corrective actions to help students intended at risk of low performance based on experimental study of college students using explainable machine learning model