Data analytics for students feedback in college education using bi-directional models and fasttext embeddings

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.

Authors

Publication Details

Journal
International Journal of Information and Communication Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijict.2025.10071318
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Data analytics for students feedback in college education using bi-directional models and fasttext embeddings

Fangbin Song, Di Ma
International Journal of Information and Communication Technology
Online Learning and Analytics
article

Data analytics for students feedback in college education using bi-directional models and fasttext embeddings

Fangbin Song, Di Ma
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 Information and Communication TechnologyVol. 26(17)
Quality Education
Openalex Percentile: Top 90%
Online Learning and Analytics
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Data analytics for students feedback in college education using bi-directional models and fasttext embeddings — Fangbin Song, Di Ma · International Journal of Information and Communication Technology (2025) | TGRS Research Map | TGRS