Adopting trust in learning analytics infrastructure. A structured literature review

GP Ciordas-Hertel, J Schneider, S Ternier… - Journal of Universal …, 2019 - pedocs.de
One key factor for the successful outcome of a Learning Analytics (LA) infrastructure is the
ability to decide which software architecture concept is necessary. Big Data can be used to …

Deep learning for a smart e-learning system

A Chanaa, N El Faddouli - … of the 2nd International Conference on Smart …, 2018 - dl.acm.org
E-learning is the process of learning, educating, or training using web-based technologies.
With the extensive use of such means, a tremendous amount of data are generated. The …

Artificial Intelligence in Massive Open Online Course: A Systematic Literature Review

B Fernandez, M Karsen - 2024 International Seminar on …, 2024 - ieeexplore.ieee.org
Massive Open Online Courses (MOOCs) are becoming one of today's most widely used
learning methods where people can quickly get good quality courses for free. With the help …

A comprehensive study on smart farming for transforming agriculture through cloud and IoT

A Poonia, D Lakshmi, T Garg… - Convergence of Cloud …, 2023 - igi-global.com
The amount of food produced in fields is directly proportional to the Earth's growing
population. Taking into account the deteriorating climatic conditions and ineffective …

A course recommendation system for MOOCs based on online learning

HA Ali, C Mohamed, B Abdelhamid… - 2021 XI International …, 2021 - ieeexplore.ieee.org
Systems that make recommendations One of the most intriguing systems, which allows
students to browse or search a big number of possibilities for specific goods related to their …

[PDF][PDF] Design of visibility for order lifecycle using datawarehouse

G Jayashree, C Priya - International Journal of Engineering and …, 2019 - researchgate.net
Data warehouse, shortly called DW, a repository to store historical data was widely used
across organizations for analyzing the data for any business decisions to be decided. It acts …

Predicting learning behavior using hyper-personalization and attentiveness measure

R Desai, R Muni, D Madhani… - 2022 5th International …, 2022 - ieeexplore.ieee.org
With advances in educational technology, the use of online courses and e-learning
platforms has increased. However, the primary issue with online learning is that learners …

[PDF][PDF] Deep learning based artificial manager for smart city

Y Santur, E Karaköse, M Karaköse… - … Conference on Advanced …, 2017 - researchgate.net
Nowadays, deep learning is commonly used in many areas such as natural language
processing, data mining, image processing and interpretation. The use of technology in city …

Review of Big Data Analytics

R Soni, A Baghel, S Paliya… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In today's technological era, the decision-making that takes place has a very high amount of
data to be worked upon. Big data is so vast and has such a wide variety involved to it that it …

An Artifical Management Platform Based on Deep Learning Using Cloud Computing for Smart Cities

Y Santur, E Karaköse, M Karaköse… - International Journal of …, 2017 - dergipark.org.tr
Nowadays, deep learning is commonly used in many areas such as natural language
processing, data mining, image processing and interpretation. The use of technology in city …