Enhancing the prediction of student performance based on the machine learning XGBoost algorithm

A Asselman, M Khaldi, S Aammou - Interactive Learning …, 2023 - Taylor & Francis
ABSTRACT Performance Factors Analysis (PFA) is considered one of the most important
Knowledge Tracing (KT) approaches used for constructing adaptive educational …

Hybrid models for knowledge tracing: A systematic literature review

A Zanellati, D Di Mitri, M Gabbrielli… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how
the knowledge state of students changes during the learning process and accurately …

[PDF][PDF] Examining the potential of machine learning for predicting academic achievement: A systematic review

M Nazir, A Noraziah, M Rahmah… - Fusion: Practice and …, 2023 - researchgate.net
Predicting student academic performance is a critical area of education research. Machine
learning (ML) algorithms have gained significant popularity in recent years. The capability to …

Scaffolding self-regulated learning in student-generated questioning using mobile phones

D Song, K Glazewski - Education and Information Technologies, 2023 - Springer
Focusing on the sustainability and affordability when using information technology, the
mechanism of student-generated questioning (SGQ) and scaffolding for SGQ in reading …

A literature review of knowledge tracing for student modeling: research trends, models, datasets, and challenges

EH Am, I Hidayah, SS Kusumawardani - Journal of Information …, 2021 - jitecs.ub.ac.id
Modeling students' knowledge is a fundamental part of online learning platforms.
Knowledge tracing is an application of student modeling which renowned for its ability to …

Discriminable multi-label attribute selection for pre-course student performance prediction

J Yang, S Hu, Q Wang, S Fong - Entropy, 2021 - mdpi.com
The university curriculum is a systematic and organic study complex with some immediate
associated steps; the initial learning of each semester's course is crucial, and significantly …

Genetic Approach for Improved Prediction of Adaptive Learning Activities in Intelligent Tutoring System

FZ Hibbi, O Abdoun - International Journal of Advanced …, 2023 - search.proquest.com
The intelligent tutoring system registers the reference data of the learners in a database.
This data is stored for later use in the instructional module. Designing a student model is not …

[HTML][HTML] Designing and validating dynamic computer-based scaffolding model in virtual in-service teacher training

Z Rashidi, E Zaraii, A Delavar - Quarterly Journal of Training …, 2023 - istd.saminatech.ir
In virtual in-service teacher training, instructional support or scaffolding is an essential
component of effective training that can be provided in the form of computer-based …

[PDF][PDF] Intelligent tutoring system: A bibliometric analysis and systematic literature review

OA Cuéllar-Rojas, M Hincapié, M Contero… - 2021 - pdfs.semanticscholar.org
This article is a bibliometric analysis and literature review, having a central axis the
evaluation mediated by Intelligent Tutors Systems (ITS) in education, seeking to establish …

[PDF][PDF] Hybrid model for improving student academic performance

K Deepika, N Sathyanarayana - Int. J. Adv. Res. Eng. Technol, 2020 - academia.edu
Improving student performance in the educational institutes is a major challenge. Accurate
Student Performance prediction method is used as the Hybrid method in the proposed …