Enhancing the prediction of student performance based on the machine learning XGBoost algorithm
ABSTRACT Performance Factors Analysis (PFA) is considered one of the most important
Knowledge Tracing (KT) approaches used for constructing adaptive educational …
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
Student Performance prediction method is used as the Hybrid method in the proposed …