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Augmenting Deep Neural Networks with Symbolic Educational Knowledge: Towards Trustworthy and Interpretable AI for Education

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Effects of technology‐enhanced learning approaches on learners with different prior learning attitudes and knowledge in computational thinking
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Innovative Technologies and Learning
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AI*IA 2016 Advances in Artificial Intelligence
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Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms
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Temporal learner modelling through integration of neural and symbolic architectures
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The Control-Value Theory of Achievement Emotions: Assumptions, Corollaries, and Implications for Educational Research and Practice
inferredcites →https://doi.org/10.1007/s11423-018-09644-1openalex-snapshot
Learner modelling: systematic review of the literature from the last 5 years
inferredcites →https://doi.org/10.1016/0004-3702(94)90105-8openalex-snapshot
Knowledge-based artificial neural networks
inferredcites →https://doi.org/10.1016/j.cedpsych.2008.05.006openalex-snapshot
A macro-level analysis of SRL processes and their relations to the acquisition of a sophisticated mental model of a complex system
inferredcites →https://doi.org/10.1016/j.eswa.2022.116670openalex-snapshot
GameDKT: Deep knowledge tracing in educational games
inferredcites →https://doi.org/10.1016/j.eswa.2023.122283openalex-snapshot
ImageLM: Interpretable image-based learner modelling for classifying learners’ computational thinking
inferredcites →https://doi.org/10.1016/j.neunet.2023.06.028openalex-snapshot
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Explainable Student Agency Analytics
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An Explainable Model for Identifying At-Risk Student at Higher Education
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Temporal Models for Predicting Student Dropout in Massive Open Online Courses
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An Introduction to Variational Autoencoders
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
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Language (Technology) is Power: A Critical Survey of “Bias” in NLP
inferredcites →https://doi.org/10.18653/v1/2022.aacl-short.11openalex-snapshot
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inferredcites →https://doi.org/10.21240/merz/2020.5.11openalex-snapshot
Beijing consensus on artificial intelligence and education
inferredcites →https://doi.org/10.31219/osf.io/ysdxjopenalex-snapshot
Addressing Spurious Correlations in Machine Learning Models: A Comprehensive Review
inferredcites →https://doi.org/10.3233/aic-210084openalex-snapshot
Neuro-symbolic artificial intelligence
inferredcites →https://doi.org/10.3233/faia342openalex-snapshot
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inferredcites →https://doi.org/10.3390/educsci12120845openalex-snapshot
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inferredcites →https://doi.org/10.3390/make6010019openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1711.03902openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.2106.07171openalex-snapshot
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inferredcites →https://doi.org/10.5281/zenodo.3554691openalex-snapshot
Deep Learning vs. Bayesian Knowledge Tracing: Student Models for Interventions

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1007/978-3-032-25176-3_3openalex-snapshot
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