Predicting students' performance employing educational data mining techniques, machine learning, and learning analytics

A Alam, A Mohanty - International Conference on Communication …, 2022 - Springer
Student success is important in colleges and universities since it is often used as a measure
of the institution's effectiveness. Identifying at-risk students early on and implementing …

Multi-modal sarcasm detection in social networks: A comparative review

P Dutta, CK Bhattacharyya - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
Sentiment Analysis (SA) has become an extremely sought after area of research especially
post COVID-19 when people used to spent a lot of time on the social media to interact with …

Big educational data analytics, prediction and recommendation: a survey

X Sun, Y Fu, W Zheng, Y Huang, Y Li - Journal of Circuits, Systems …, 2022 - World Scientific
The development of mobile Internet, Internet of Things, and cloud computing has contributed
to the unprecedented growth of information data. Big data plays a very important role in …

Deep Learning for Multi-Output Regression using Gradient Boosting

S Emami, G Martínez-Muñoz - IEEE Access, 2024 - ieeexplore.ieee.org
This paper presents a novel methodology to address multi-output regression problems
through the incorporation of deep-neural networks and gradient boosting. The proposed …

[HTML][HTML] Leveraging LLMs for Optimised Feature Selection and Embedding in Structured Data: A Case Study on Graduate Employment Classification

R Haque, HN Goh, CY Ting, A Quek… - Computers and Education …, 2024 - Elsevier
Abstract The application of Machine Learning (ML) for predicting graduate student
employability is a growing area of research, driven by the need to align educational …

Neuro-fuzzy systems for learning analytics

G Casalino, G Castellano, G Zaza - International Conference on Intelligent …, 2021 - Springer
Learning Analytics techniques are widely used to improve students' performance. Data
collected from Virtual Learning Environments (VLEs) are helpful to predict students' …

Deciphering the role of artificial intelligence in health care, learning and development

R Varghese, A Deshpande, G Digholkar… - The adoption and effect …, 2023 - emerald.com
Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced
every walk of life, and the education sector is no exception. In education, AI has helped to …

Educational Data Mining tools and Techniques used for Prediction of Student's Performance: A Study

A Dhankhar, K Solanki - 2022 10th International Conference …, 2022 - ieeexplore.ieee.org
In the digital era, enormous amounts of data have been generated in education that has led
to data driven approaches which in turn help effective decision making. Educational data …

Towards a Literature Review Methodology: A Practical Guide in the Context of Using Artificial Intelligence in Education.

M El Jihaoui, O El Kheir Abra… - International …, 2024 - search.ebscohost.com
Scientific research plays an essential role in the development of mankind through its ability
to provide innovative solutions and technological advances in various fields. In this …

Review of fake product review detection techniques

BVS Krishna, S Sharma, K Devika… - … and Smart Energy …, 2022 - ieeexplore.ieee.org
In the present-day world, reviews available on online websites play a vital role in the sale of
products and resources. People using an online platform for purchasing different products …