Proactive and reactive engagement of artificial intelligence methods for education: a review

S Mallik, A Gangopadhyay - Frontiers in artificial intelligence, 2023 - frontiersin.org
The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

A survey on recent approaches to question difficulty estimation from text

L Benedetto, P Cremonesi, A Caines, P Buttery… - ACM Computing …, 2023 - dl.acm.org
Question Difficulty Estimation from Text (QDET) is the application of Natural Language
Processing techniques to the estimation of a value, either numerical or categorical, which …

Ekt: Exercise-aware knowledge tracing for student performance prediction

Q Liu, Z Huang, Y Yin, E Chen, H Xiong… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
For offering proactive services (eg, personalized exercise recommendation) to the students
in computer supported intelligent education, one of the fundamental tasks is predicting …

A survey of knowledge tracing

Q Liu, S Shen, Z Huang, E Chen, Y Zheng - arXiv preprint arXiv …, 2021 - arxiv.org
High-quality education is one of the keys to achieving a more sustainable world. In contrast
to traditional face-to-face classroom education, online education enables us to record and …

Neural cognitive diagnosis for intelligent education systems

F Wang, Q Liu, E Chen, Z Huang, Y Chen, Y Yin… - Proceedings of the AAAI …, 2020 - aaai.org
Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover
the proficiency level of students on specific knowledge concepts. Existing approaches …

Exercise-enhanced sequential modeling for student performance prediction

Y Su, Q Liu, Q Liu, Z Huang, Y Yin, E Chen… - Proceedings of the …, 2018 - ojs.aaai.org
In online education systems, for offering proactive services to students (eg, personalized
exercise recommendation), a crucial demand is to predict student performance (eg, scores) …

Molecular property prediction: A multilevel quantum interactions modeling perspective

C Lu, Q Liu, C Wang, Z Huang, P Lin, L He - Proceedings of the AAAI …, 2019 - aaai.org
Predicting molecular properties (eg, atomization energy) is an essential issue in quantum
chemistry, which could speed up much research progress, such as drug designing and …

Hierarchical multi-label text classification: An attention-based recurrent network approach

W Huang, E Chen, Q Liu, Y Chen, Z Huang… - Proceedings of the 28th …, 2019 - dl.acm.org
Hierarchical multi-label text classification (HMTC) is a fundamental but challenging task of
numerous applications (eg, patent annotation), where documents are assigned to multiple …

Prerequisite-driven deep knowledge tracing

P Chen, Y Lu, VW Zheng, Y Pian - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Knowledge tracing serves as the key technique in the computer supported education
environment (eg, intelligent tutoring systems) to model student's knowledge states. While the …

Reimagining the machine learning life cycle to improve educational outcomes of students

LT Liu, S Wang, T Britton… - Proceedings of the …, 2023 - National Acad Sciences
Machine learning (ML) techniques are increasingly prevalent in education, from their use in
predicting student dropout to assisting in university admissions and facilitating the rise of …