BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification

08/16/2021
by   Abdul Waheed, et al.
0

Bloom taxonomy is a common paradigm for categorizing educational learning objectives into three learning levels: cognitive, affective, and psychomotor. For the optimization of educational programs, it is crucial to design course learning outcomes (CLOs) according to the different cognitive levels of Bloom Taxonomy. Usually, administrators of the institutions manually complete the tedious work of mapping CLOs and examination questions to Bloom taxonomy levels. To address this issue, we propose a transformer-based model named BloomNet that captures linguistic as well semantic information to classify the course learning outcomes (CLOs). We compare BloomNet with a diverse set of basic as well as strong baselines and we observe that our model performs better than all the experimented baselines. Further, we also test the generalization capability of BloomNet by evaluating it on different distributions which our model does not encounter during training and we observe that our model is less susceptible to distribution shift compared to the other considered models. We support our findings by performing extensive result analysis. In ablation study we observe that on explicitly encapsulating the linguistic information along with semantic information improves the model on IID (independent and identically distributed) performance as well as OOD (out-of-distribution) generalization capability.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/16/2021

Course Difficulty Estimation Based on Mapping of Bloom's Taxonomy and ABET Criteria

Current Educational system uses grades or marks to assess the performanc...
research
04/17/2018

Similarity between Learning Outcomes from Course Objectives using Semantic Analysis, Blooms taxonomy and Corpus statistics

The course description provided by instructors is an essential piece of ...
research
07/03/2021

TagRec: Automated Tagging of Questions with Hierarchical Learning Taxonomy

Online educational platforms organize academic questions based on a hier...
research
06/30/2023

Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives

We evaluated the capability of a generative pre-trained transformer (GPT...
research
05/18/2015

Advances in Computational Biology: A Real Boost or a Wishful Thinking

Computational biology is on the verge of a paradigm shift in its researc...
research
03/25/2022

hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification

Social media platforms often act as breeding grounds for various forms o...

Please sign up or login with your details

Forgot password? Click here to reset