A review of clustering models in educational data science toward fairness-aware learning
Ensuring fair access to quality education is essential for every education system to fully
realize every student's potential. Nowadays, machine learning (ML) is transforming …
realize every student's potential. Nowadays, machine learning (ML) is transforming …
Ai and machine learning techniques in the development of Intelligent Tutoring System: A review
F AlShaikh, N Hewahi - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
An Intelligent Tutoring System (ITS) is critical in education because it provides one to one
personalized teaching assistance to learners as they educate how to solve problems …
personalized teaching assistance to learners as they educate how to solve problems …
Clustering analysis for classifying student academic performance in higher education
AF Mohamed Nafuri, NS Sani, NFA Zainudin… - Applied Sciences, 2022 - mdpi.com
There are three income categories for Malaysians: the top 20%(T20), the middle 40%(M40),
and the bottom 40%(B40). The government has extended B40′ s access to higher …
and the bottom 40%(B40). The government has extended B40′ s access to higher …
Interaction recognition and intervention based on context feature fusion of learning behaviors in interactive learning environments
X Xia - Interactive Learning Environments, 2023 - Taylor & Francis
Interactive learning environments can generate massive learning behavior data and the
support of learning behavior big data can ensure the completeness of data analysis and …
support of learning behavior big data can ensure the completeness of data analysis and …
Decision application mechanism of regression analysis of multi-category learning behaviors in interactive learning environment
X Xia - Interactive Learning Environments, 2023 - Taylor & Francis
The research of multi-category learning behaviors is a hot issue in interactive learning
environment, and there are many challenges in data statistics and relationship modeling …
environment, and there are many challenges in data statistics and relationship modeling …
Time series analysis for education: Methods, applications, and future directions
Recent advancements in the collection and analysis of sequential educational data have
brought time series analysis to a pivotal position in educational research, highlighting its …
brought time series analysis to a pivotal position in educational research, highlighting its …
Applying Real‐Time Dynamic Scaffolding Techniques during Tutoring Sessions Using Intelligent Tutoring Systems
An intelligent tutoring system (ITS) is a computer system or software application that is built
to replicate human tutors by supporting the theory of “learning by doing.” Even though ITSs …
to replicate human tutors by supporting the theory of “learning by doing.” Even though ITSs …
Bibliometric analysis and systematic literature review of the intelligent tutoring systems
OA Cuéllar-Rojas, M Hincapié-Montoya… - Frontiers in …, 2022 - frontiersin.org
This study is a literature review with educational evaluation mediated by intelligent tutoring
systems (ITS) as its central axis seeking to establish state of the art on implementations …
systems (ITS) as its central axis seeking to establish state of the art on implementations …
Exploring Student Interactions with AI in Programming Training
In recent years, the integration of artificial intelligence (AI) in education has collected
significant attention due to its potential to revolutionize learning experiences and support …
significant attention due to its potential to revolutionize learning experiences and support …
Artificial intelligence applications in open and distance education: a systematic review of the articles (2007-2021)
With the urgent shift to distance learning due to Covid-19 measures, educational institutions
around the world have started to adopt e-learning massively. According to many experts …
around the world have started to adopt e-learning massively. According to many experts …