Contributions of machine learning models towards student academic performance prediction: a systematic review

P Balaji, S Alelyani, A Qahmash, M Mohana - Applied Sciences, 2021 - mdpi.com
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review

K Alalawi, R Athauda, R Chiong - Engineering Reports, 2023 - Wiley Online Library
Today, educational institutions produce large amounts of data with the deployment of
learning management systems. These large datasets provide an untapped potential to …

A machine learning-based recommender system for improving students learning experiences

N Yanes, AM Mostafa, M Ezz, SN Almuayqil - IEEE Access, 2020 - ieeexplore.ieee.org
Outcome-based education (OBE) is a well-proven teaching strategy based upon a
predefined set of expected outcomes. The components of OBE are Program Educational …

Selection of the right undergraduate major by students using supervised learning techniques

AO Alsayed, MSM Rahim, I AlBidewi, M Hussain… - Applied Sciences, 2021 - mdpi.com
University education has become an integral and basic part of most people preparing for
working life. However, placement of students into the appropriate university, college, or …

Intelligent academic specialties selection in higher education for Ukrainian entrants: A recommendation system

S Fedushko, T Ustyianovych, Y Syerov - Journal of Intelligence, 2022 - mdpi.com
In this article, we provide an approach to solve the problem of academic specialty selection
in higher educational institutions with Ukrainian entrants as our target audience. This …

A recommendation system for selecting the appropriate undergraduate program at higher education institutions using graduate student data

Y Zayed, Y Salman, A Hasasneh - Applied Sciences, 2022 - mdpi.com
Selecting the appropriate undergraduate program is a critical decision for students. Many
elements influence this choice for secondary students, including financial, social …

[PDF][PDF] An Effective Recommendation System to Forecast the Best Educational Program Using Machine Learning Classification Algorithms.

J Dhar, AK Jodder - Ingénierie des Systèmes d Inf., 2020 - researchgate.net
After passing the 10th class, every student is eager to know which educational program will
be the best for their higher education to match their career goal. Sometimes, they are very …

Design of resource matching model of intelligent education system based on machine learning

C Xiang, N Fu, TR Gadekallu - EAI Endorsed Transactions on …, 2022 - publications.eai.eu
Aiming at the problems of cold start and data sparsity in the process of traditional education
resource matching, a resource matching model based on machine learning is designed to …

A predictive model for student achievement using spiking neural networks based on educational data

C Liu, H Wang, Y Du, Z Yuan - Applied Sciences, 2022 - mdpi.com
Student achievement prediction is one of the most important research directions in
educational data mining. Student achievement directly reflects students' course mastery and …

Personalized paper recommendation for postgraduates using multi-semantic path fusion

X Xiao, B Jin, C Zhang - Applied Intelligence, 2023 - Springer
During graduate education, postgraduates have to spend considerable time finding papers
to explore the development branches of their field. However, existing paper …