The knowledge and innovation challenges of ChatGPT: A scoping review

O Ali, PA Murray, M Momin, FS Al-Anzi - Technology in Society, 2023 - Elsevier
This study has several objectives. Firstly, the authors adopt a scoping review of extant
research to identify common emerging themes in the ChatGPT model. Secondly, the …

[HTML][HTML] The effects of artificial intelligence applications in educational settings: Challenges and strategies

O Ali, PA Murray, M Momin, YK Dwivedi… - … Forecasting and Social …, 2024 - Elsevier
With the continuous intervention of AI tools in the education sector, new research is required
to evaluate the viability and feasibility of extant AI platforms to inform various pedagogical …

A machine learning and explainable ai approach for predicting secondary school student performance

KM Hasib, F Rahman, R Hasnat… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
An essential component of the educational activity is rigorous examination and assessment
of students' results, with a potential substantial influence on student growth. This paper offers …

Enhancing groundwater vulnerability assessment: comparative study of three machine learning models and five classification schemes for Cuddalore district

S Subbarayan, S Thiyagarajan, S Karuppannan… - Environmental …, 2024 - Elsevier
Most of the groundwater vulnerability assessment methods using machine learning are
binary classification. This study attempts multi-class classification models to map the …

Peran artificial intelligence dalam meningkatkan efisiensi dan efektifitas sistem pendidikan

J Afrita - COMSERVA: Jurnal Penelitian Dan …, 2023 - comserva.publikasiindonesia.id
Artificial Intelligence (AI) is an increasingly developing technology that plays an important
role in various fields, including the education system. AI can enhance the efficiency and …

A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices

R Sibindi, RW Mwangi, AG Waititu - Engineering Reports, 2023 - Wiley Online Library
The implementation of tree‐ensemble models has become increasingly essential in solving
classification and prediction problems. Boosting ensemble techniques have been widely …

[HTML][HTML] Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm

A John, IFB Isnin, SHH Madni, FB Muchtar - Intelligent Systems with …, 2024 - Elsevier
The intrusion detection system (IDS) model, which can identify the presence of intruders in
the network and take some predefined action for safe data transit across the network, is …

Guiding experiment with Machine Learning: A case study of biochar adsorption of Ciprofloxacin

S Jiang, Y Hou, Z Man, C Wang, X Shi, J Shang… - Separation and …, 2024 - Elsevier
This study employs an integrated approach, using K-FOLD cross-validation, Optuna
automated hyperparameter search, machine learning, and SHapley Additive exPlanations …

Enhancement of E-Learning student's performance based on ensemble techniques

AA Alsulami, ASALM AL-Ghamdi, M Ragab - Electronics, 2023 - mdpi.com
Educational institutions have dramatically increased in recent years, producing many
graduates and postgraduates each year. One of the critical concerns of decision-makers is …

Selection of the right undergraduate major by students using supervised learning techniques

AO Alsayed, MSM Rahim, I AlBidewi, M Hussain… - Applied Sciences, 2021 - mdpi.com
University education has become an integral and basic part of most people preparing for
working life. However, placement of students into the appropriate university, college, or …