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June 20, 2026Results in Applied MathematicsOpen Access

Analysis and machine learning adaptation of a cognitive model for human memory

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Authors

TCTrevor CrossAWAihua Wood

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Overview

Randomized trial analyzes cognitive models for language acquisition, suggesting enhanced performance through machine learning.

Key Points

  • The aim is to analyze cognitive models of second language acquisition and enhance their performance using machine learning techniques.
  • Analyzed the Duolingo SLAM dataset to evaluate cognitive models.
  • Developed one-feature models as building blocks for combined models.
  • Constructed a neural network with one fully connected hidden layer.
  • The developed neural network outperformed existing models on large datasets.
  • Combined models matched or outperformed existing models at lower computational costs.

Cite This Study

Cross et al. (2026) studied this question.

synapsesocial.com/papers/6a362f63db0793dc1a536e42https://doi.org/10.1016/j.rinam.2026.100730
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