Bloom's learning outcomes' automatic classification using lstm and pretrained word embeddings

S Shaikh, SM Daudpotta, AS Imran - IEEE Access, 2021 - ieeexplore.ieee.org
Bloom's taxonomy is a popular model to classify educational learning objectives into
different learning levels for three domains including cognitive, affective and psycho motor …

Fine-tuned BERT model for large scale and cognitive classification of MOOCs

H Sebbaq, N El Faddouli - International Review of Research in Open and …, 2022 - erudit.org
The quality assurance of MOOCs focuses on improving their pedagogical quality. However,
the tools that allow reflection on and assistance regarding the pedagogical aspects of …

Importance and Implications of Theory of Bloom's Taxonomy in Different Fields of Education

A Momen, M Ebrahimi, AM Hassan - International conference on emerging …, 2022 - Springer
The theory of Bloom's taxonomy has offered a set of three hierarchical models for cognitive,
affective, and psychomotor domains that are used for the classification of educational …

Identification of cognitive learning complexity of assessment questions using multi-class text classification

S Das, SKD Mandal, A Basu - Contemporary Educational Technology, 2020 - cedtech.net
Cognitive learning complexity identification of assessment questions is an essential task in
the domain of education, as it helps both the teacher and the learner to discover the thinking …

BloomNet: A robust transformer based model for Bloom's learning outcome classification

A Waheed, M Goyal, N Mittal, D Gupta… - arXiv preprint arXiv …, 2021 - arxiv.org
Bloom taxonomy is a common paradigm for categorizing educational learning objectives
into three learning levels: cognitive, affective, and psychomotor. For the optimization of …

Classification of action verbs of Bloom's taxonomy cognitive domain: An empirical study

S Das, SK Das Mandal, A Basu - Journal of Education, 2022 - journals.sagepub.com
It was observed from previous researches that Bloom's Taxonomy action verbs (BTAVs) are
overlapping in multiple cognitive levels, causing ambiguity about the real sense of the word …

[HTML][HTML] MTBERT-Attention: An Explainable BERT Model based on Multi-Task Learning for Cognitive Text Classification

H Sebbaq - Scientific African, 2023 - Elsevier
In recent years, there has been a lot of focus on Bloom's taxonomy-based classification of E-
Learning materials. Researchers employ different methods and features. In our previous …

Designing curriculum about governance and sustainability in higher education: A case study

C Cassar - Managing Risk and Decision Making in Times of …, 2022 - emerald.com
Introduction: Public administration has always been at the forefront of promoting sound and
ethical values in society. The myriad of events that are shaping our world, such as global …

An explainable attention-based bidirectional GRU model for pedagogical classification of MOOCs

H Sebbaq, N El Faddouli - Interactive Technology and Smart …, 2022 - emerald.com
Purpose The purpose of this study is, First, to leverage the limitation of annotated data and to
identify the cognitive level of learning objectives efficiently, this study adopts transfer …

[HTML][HTML] The catalysed use of Fourth Industrial Revolution interventions in South African higher education institutions, due to COVID-19, and its influence on efficacy

VAN Eric, T VENTER… - Expert Journal of …, 2021 - business.expertjournals.com
COVID-19 has brought about significant change in a global dispensation. One of these
changes is the catalysed use of fourth industrial revolution interventions 4IRI. In South Africa …