Optimising Student Performance Prediction Using DTC Enhanced with WOA and ECPO

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Internet Protocol Technology
Published
2025-10-19
DOI
https://doi.org/10.1504/ijipt.2026.10074169
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimising Student Performance Prediction Using DTC Enhanced with WOA and ECPO

Chih‐Sheng Chen, Lijuan Gao
International Journal of Internet Protocol Technology
Online Learning and Analytics
article

Optimising Student Performance Prediction Using DTC Enhanced with WOA and ECPO

Chih‐Sheng Chen, Lijuan Gao
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Internet Protocol TechnologyVol. 19(3)
Openalex Percentile: Top 67%
Online Learning and Analytics
DOISourceOpenAlex
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Optimising Student Performance Prediction Using DTC Enhanced with WOA and ECPO — Chih‐Sheng Chen, Lijuan Gao · International Journal of Internet Protocol Technology (2025) | TGRS Research Map | TGRS