Artificial intelligence for assessment and feedback to enhance student success in higher education
The core focus of this review is to show how immediate and valid feedback, qualitative
assessment influence enhances students learning in a higher education environment. With …
assessment influence enhances students learning in a higher education environment. With …
Perbandingan Evaluasi Kernel SVM untuk Klasifikasi Sentimen dalam Analisis Kenaikan Harga BBM: Comparative Evaluation of SVM Kernels for Sentiment …
S Rabbani, D Safitri, N Rahmadhani… - … : Indonesian Journal of …, 2023 - journal.irpi.or.id
Abstract Kebijakan perubahan harga Bahan Bakar Minyak (BBM) oleh pemerintah pada
September 2022 lalu menimbulkan kontroversi pengguna sosial media termasuk Twitter …
September 2022 lalu menimbulkan kontroversi pengguna sosial media termasuk Twitter …
Imbalanced classification methods for student grade prediction: a systematic literature review
Student success is essential for improving the higher education system student outcome.
One way to measure student success is by predicting students' performance based on their …
One way to measure student success is by predicting students' performance based on their …
A comparative study on student performance prediction using machine learning
Y Chen, L Zhai - Education and Information Technologies, 2023 - Springer
Accompanied with the development of storage and processing capacity of modern
technology, educational data increases sharply. It is difficult for educational researchers to …
technology, educational data increases sharply. It is difficult for educational researchers to …
Systematic Review of Recommendation Systems for Course Selection
S Algarni, F Sheldon - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
Course recommender systems play an increasingly pivotal role in the educational
landscape, driving personalization and informed decision-making for students. However …
landscape, driving personalization and informed decision-making for students. However …
Predictive modelling and analytics of students' grades using machine learning algorithms
YT Badal, RK Sungkur - Education and information technologies, 2023 - Springer
The outbreak of COVID-19 has caused significant disruption in all sectors and industries
around the world. To tackle the spread of the novel coronavirus, the learning process and …
around the world. To tackle the spread of the novel coronavirus, the learning process and …
Performance and early drop prediction for higher education students using machine learning
A significant goal of modern universities is to provide high-quality education to their students
and reduce their failure rates. The early recognition of low-performance students that would …
and reduce their failure rates. The early recognition of low-performance students that would …
A machine learning approach to predicting academic performance in Pennsylvania's schools
Academic performance prediction is an indispensable task for policymakers. Academic
performance is frequently examined using classical statistical software, which can be used …
performance is frequently examined using classical statistical software, which can be used …
Academic performance warning system based on data driven for higher education
Academic probation at universities has become a matter of pressing concern in recent years,
as many students face severe consequences of academic probation. We carried out …
as many students face severe consequences of academic probation. We carried out …
machine learning in higher education: students' performance assessment considering online activity logs
G Latif, SE Abdelhamid, KS Fawagreh… - IEEE …, 2023 - ieeexplore.ieee.org
Machine learning in Education is receiving more attention from researchers as the number
of students at all levels globally is increasing. To ensure students' success in K-12 …
of students at all levels globally is increasing. To ensure students' success in K-12 …