[HTML][HTML] Analysis of llms for educational question classification and generation

S Al Faraby, A Romadhony - Computers and Education: Artificial …, 2024 - Elsevier
Large language models (LLMs) like ChatGPT have shown promise in generating
educational content, including questions. This study evaluates the effectiveness of LLMs in …

Below average ChatGPT performance in medical microbiology exam compared to university students

M Sallam, K Al-Salahat - Frontiers in Education, 2023 - frontiersin.org
Background The transformative potential of artificial intelligence (AI) in higher education is
evident, with conversational models like ChatGPT poised to reshape teaching and …

Bloom's Taxonomy-based exam question classification: The outcome of CNN and optimal pre-trained word embedding technique

MO Gani, RK Ayyasamy, A Sangodiah… - Education and Information …, 2023 - Springer
The automated classification of examination questions based on Bloom's Taxonomy (BT)
aims to assist the question setters so that high-quality question papers are produced. Most …

[PDF][PDF] The effect of the TF-IDF algorithm in times series in forecasting word on social media

AR Lubis, MKM Nasution… - Indones. J. Electr …, 2021 - pdfs.semanticscholar.org
Forecasting is one of the main topics in data mining or machine learning in which
forecasting, a group of data used, has a label class or target. Thus, many algorithms for …

Examining Student Regulation of Collaborative, Computational, Problem-Solving Processes in Open-Ended Learning Environments.

M Emara, NM Hutchins, S Grover, C Snyder… - Journal of Learning …, 2021 - ERIC
The integration of computational modelling in science classrooms provides a unique
opportunity to promote key 21st century skills including computational thinking (CT) and …

Automatic exam correction framework (aecf) for the mcqs, essays, and equations matching

HM Balaha, MM Saafan - IEEE Access, 2021 - ieeexplore.ieee.org
Automatic grading requires the adaption of the latest technologies. It has become essential
especially when most of the courses became online courses (MOOCs). The objectives of the …

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 …

The promotion strategies and dynamic evaluation model of exhibition-driven sustainable tourism based on previous/prospective tourist satisfaction after COVID-19

G Cai, B Xu, F Lu, Y Lu - Evaluation and Program Planning, 2023 - Elsevier
After COVID-19, all art exhibitions in 2020 were forced to close and postponed until 2021 in
Japan. The current paper studies the dynamic evaluation model and exhibition-driven event …

Automatic classification of learning objectives based on bloom's taxonomy

Y Li, M Rakovic, BX Poh, D Gaševic… - … Data Mining 2022, 2022 - research.monash.edu
Learning objectives, especially those well defined by applying Bloom's taxonomy for
Cognitive Objectives, have been widely recognized as important in various teaching and …

Arabic questions classification using modified TF-IDF

AS Alammary - IEEE Access, 2021 - ieeexplore.ieee.org
Classifying the cognitive levels of assessment questions according to Bloom's taxonomy can
help instructors design effective assessments that are well aligned with the intended …