Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network

Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network

Abstract In recent years, the rapid expansion of online learning content has made it increasingly difficult for students to identify suitable educational pathways. This challenge is particularly significant for engineering students, who often require structured guidance to select appropriate academi...

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Bibliographic Details
Main Authors: Anupama V, Sudheep Elayidom M
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Academic path recommendation
Myers-briggs type indicator
Deep recurrent neural network
Engineering students
Data mining
Online Access:https://doi.org/10.1038/s41598-025-08804-7
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https://doi.org/10.1038/s41598-025-08804-7

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