Search Results for author: Qinggang Meng

Found 4 papers, 1 papers with code

Interpreting Deep Knowledge Tracing Model on EdNet Dataset

no code implementations31 Oct 2021 DeLiang Wang, Yu Lu, Qinggang Meng, Penghe Chen

With more deep learning techniques being introduced into the knowledge tracing domain, the interpretability issue of the knowledge tracing models has aroused researchers' attention.

Knowledge Tracing

The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems

no code implementations7 May 2021 Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T. Martin McGinnity, Jörn Mehnen

Then, the challenges in implementing trustworthy autonomous system are analytically reviewed, in respects of the five key properties, and the roles of AI technologies have been explored to ensure the trustiness of RAS with respects to safety, security, health and HMI, while reflecting the requirements of ethics in the design of RAS.

Ethics

Towards Interpretable Deep Learning Models for Knowledge Tracing

no code implementations13 May 2020 Yu Lu, DeLiang Wang, Qinggang Meng, Penghe Chen

We thus propose to adopt the post-hoc method to tackle the interpretability issue for deep learning based knowledge tracing (DLKT) models.

Knowledge Tracing

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