A systematic review on machine learning models for online learning and examination systems

S Kaddoura, DE Popescu, JD Hemanth - PeerJ Computer Science, 2022 - peerj.com
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …

Role of Artificial Intelligence in Online Education: A Systematic Mapping Study

R Shafique, W Aljedaani, F Rustam, E Lee… - IEEE …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) comprises various sub-fields, including machine learning (ML) and
deep learning (DL) perform a key role in the transformation of many industries, including …

Predicting student performance in a blended learning environment using learning management system interaction data

K Fahd, SJ Miah, K Ahmed - Applied Computing and Informatics, 2021 - emerald.com
Purpose Student attritions in tertiary educational institutes may play a significant role to
achieve core values leading towards strategic mission and financial well-being. Analysis of …

[HTML][HTML] Systematic review of research on artificial intelligence in K-12 education (2017–2022)

F Martin, M Zhuang, D Schaefer - Computers and Education: Artificial …, 2023 - Elsevier
Abstract Background The use of Artificial Intelligence (AI) has increased in all education
sectors including K-12 settings where students can learn about AI and have an augmented …

Prediction of academic performance of students in online live classroom interactions—an analysis using natural language processing and deep learning methods

Y Zhen, JD Luo, H Chen - Journal of Social Computing, 2023 - ieeexplore.ieee.org
Prior studies have shown the importance of classroom dialogue in academic performance,
through which knowledge construction and social interaction among students take place …

Digital education

T Lynn, P Rosati, E Conway, D Curran, G Fox… - … towns: Accelerating and …, 2022 - Springer
Education plays an essential role in transferring social norms and building human capital.
There is widespread enthusiasm for the adoption and integration of digital technologies in …

Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation.

N Henderson, W Min, A Emerson, J Rowe, S Lee… - … Educational Data Mining …, 2021 - ERIC
Recent years have seen significant interest in multimodal frameworks for modeling learner
engagement in educational settings. Multimodal frameworks hold particular promise for …

An educational system for personalized teacher recommendation in K-12 online classrooms

J Chen, H Li, W Ding, Z Liu - International Conference on Artificial …, 2021 - Springer
In this paper, we propose a simple yet effective solution to build practical teacher
recommender systems for online one-on-one classes. Our system consists of (1) a pseudo …

Analysis of Student Sentiment Dynamics to Evaluate Teachers Performance in Online Course using Machine Learning

S Das, S Roy, R Bose, PP Acharjya… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
With the rapid augmentation of the Internet and communication technology, interest in online
learning continues to rapidly broaden the horizons of academic institutions. One of the most …

Predictive Identification of At-Risk Students: Using Learning Management System Data

JB Osborne, ASID Lang - Journal of Postsecondary Student …, 2023 - journals.flvc.org
This paper describes a neural network model that can be used to detect at-risk students
failing a particular course using only grade book data from a learning management system …