[HTML][HTML] An investigation of novel features for predicting student happiness in hybrid learning platforms–An exploration using experiments on trace data

C Verma, Z Illés, D Kumar - International Journal of Information …, 2024 - Elsevier
The current study investigated the novel factors influencing informatics students' happiness
and satisfaction using statistical and machine learning algorithms. A statistical t–test proved …

[HTML][HTML] The internet of value: Towards a definition, framework, and understanding of its sustainability implications

J Lohmer, H Birkel, JM Müller - Technological Forecasting and Social …, 2024 - Elsevier
The internet of value (IoV) is predicted to have the potential for disruptive changes in
monetary values, goods, and information sharing. Thus, it could fundamentally affect …

[HTML][HTML] Network-Integrated Medical Chatbot for Enhanced Healthcare Services

SH Alqaidi, SM Albugami, WS Alzahrani… - Telematics and Informatics …, 2024 - Elsevier
Technology has a significant role in improving medical care, such as enhancing
communication between patients and healthcare virtual assistants. By including artificial …

[PDF][PDF] SUPPORTING THE INVENTORY MANAGEMENT IN THE MANUFACTURING COMPANY BY CHATGPT.

D Skórnóg, M Kmiecik - LogForum, 2023 - logforum.net
Background: The decision-making process in the operational context of enterprises is an
integral aspect of how they function, and in this area, precise demand forecasting plays a …

[PDF][PDF] Exploring the Ethical Issues in Artificial Intelligence: Towards Fairness, Bias and Accountability in AI System

A Seth - ESP International Journal of Advancements in …, 2024 - espjournals.org
Artificial intelligence (AI) has the potential to improve healthcare, finance, education, and
other fields, but it also creates ethical issues that must be addressed. These days, AI based …

Interacting with AI-driven Chatbots: The Effect of Fairness and Chatbot Appearance on User Experience and Intention of Use

A Bader - 2024 - essay.utwente.nl
This research aimed to investigate the effect of (un) fairness and appearance of
Conversational Agents (CAs) on user experience (UX) and intention to use (IU) after the …