Prediction of college student psychological state based on deep learning framework combining the improved Whale Optimization Algorithm and LSTM
Xiaohan Sun, Hanhui Liu · 2026
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Description
Xiaohan Sun and Hanhui Liu pair two methods to forecast the mental state of college students, in a 2026 study of smart teaching tools. Mood and stress data unfold over time and bend in complex ways, which trips up simple models. Their base model reads sequences well but is fussy about its settings, and poor settings trap it in weak answers early.
A whale inspired search method, tuned with a chaos based start and a niche rule that spreads the search, picks those settings instead. On a public data set of student behavior and survey scores, the paired model beat classic models and rival tuned versions by clear margins. The authors see the tool as a way for schools to spot strain early and step in sooner.
Catalog record
| CREATOR | Xiaohan Sun, Hanhui Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 104032 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |