Artificial intelligence in classroom discourse: A systematic review of the past decade

D Wang, Y Tao, G Chen - International Journal of Educational Research, 2024 - Elsevier
Over the past decade, multiple artificial intelligence-based models and systems have been
developed and employed in classroom discourse as a means of facilitating learning and …

Industry 5.0 in smart education: Concepts, applications, challenges, opportunities, and future directions

Y Supriya, D Bhulakshmi, S Bhattacharya… - IEEE …, 2024 - ieeexplore.ieee.org
Industry 5.0 is one of the emerging stages of industrialization in which humans collaborate
with cutting-edge technologies to enhance various workplace processes. The primary …

Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications

AM Al-Zahrani, TM Alasmari - Humanities and Social Sciences …, 2024 - nature.com
The increasing prevalence of Artificial Intelligence (AI) in higher education underscores the
necessity to explore its implications on ethical, social, and educational dynamics within the …

Effective text classification using BERT, MTM LSTM, and DT

S Jamshidi, M Mohammadi, S Bagheri… - Data & Knowledge …, 2024 - Elsevier
Text classification plays a critical role in managing large volumes of electronically produced
texts. As the number of such texts increases, manual analysis becomes impractical …

A human–machine interaction mechanism: additive manufacturing for Industry 5.0—design and management

S Rani, D **ing, K Shoukat, MU Shoukat, SA Nawaz - Sustainability, 2024 - mdpi.com
Industry 5.0 is an emerging value-driven manufacturing model in which human–machine
interface-oriented intelligent manufacturing is one of the core concepts. Based on the …

Students' social-cognitive engagement in online discussions

Z Liu, N Zhang, X Peng, S Liu, Z Yang - Educational Technology & Society, 2023 - JSTOR
Grounded on constructivism, mining a complex mix of social and cognitive interrelations is
key to understanding collaborative discussion in online learning. A single examination of …

A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset

N Bacanin, K Venkatachalam, T Bezdan… - Microprocessors and …, 2023 - Elsevier
Feature selection is one of the most important challenges in machine learning and data
science. This process is usually performed in the data preprocessing phase, where the data …

Intelligent chatbot interaction system capable for sentimental analysis using hybrid machine learning algorithms

M Dongbo, S Miniaoui, L Fen, SA Althubiti… - Information Processing …, 2023 - Elsevier
Chatbots actively help the human user through digital conversation through NLP based on
artificial intelligence (AI). It can be pre-trained to understand the user's queries and produce …

Explainable hybrid word representations for sentiment analysis of financial news

S Adhikari, S Thapa, U Naseem, HY Lu, G Bharathy… - Neural Networks, 2023 - Elsevier
Due to the increasing interest of people in the stock and financial market, the sentiment
analysis of news and texts related to the sector is of utmost importance. This helps the …

Understanding the evolution of cognitive engagement with interaction levels in online learning environments: Insights from learning analytics and epistemic network …

L Guo, J Du, Q Zheng - Journal of Computer Assisted Learning, 2023 - Wiley Online Library
Background There is a strong association between interactions and cognitive engagement,
which is crucial for constructing new cognition and knowledge. Although interactions and …