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ICCIT 2024

Outcome-Based Education: Evaluating Students' Perspectives Using Transformer

Shuvra Smaran Das, Anirban Saha Anik, Md. Kishor Morol, and Mohammad Sakib Mahmood

Transformer-based sentiment analysis and interpretable explanations for evaluating student perspectives on outcome-based education.

Published
ICCIT 2024
Original source
Publication record ↗

01 / MOTIVATION

Why this work matters

Student feedback about outcome-based education contains nuanced attitudes that can be explored systematically with language models.

Transformer-based sentiment analysis and interpretable explanations for evaluating student perspectives on outcome-based education.

02 / METHODOLOGY

Research approach

Transformer-based sentiment analysis characterizes student perspectives and interpretable analysis helps inspect model decisions.

Simplified method summary: preprocess student feedback, classify sentiment with DistilBERT, and interpret positive or negative predictions with LIME.
Simplified method summary drawn for this website, based on the paper; not an original paper figure. View source ↗

03 / CONTRIBUTIONS

Main contribution

Transformer-based analysis of students’ perspectives on outcome-based education.

Consult the complete publication for numerical findings and experimental qualifications.

04 / PUBLICATION

Read the paper

Shuvra Smaran Das, Anirban Saha Anik, Md. Kishor Morol, and Mohammad Sakib Mahmood. (2024). Outcome-Based Education: Evaluating Students' Perspectives Using Transformer. 2024 International Conference on Computer and Information Technology (ICCIT). https://doi.org/10.1109/ICCIT64611.2024.11021724