UniNet: next term course recommendation using deep learning

NA Volk, G Rojas, MV Vitali - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Course enrollment recommendation is a relevant task that helps university students decide
what is the best combination of courses to enroll in the next term. In particular, recommender …

Grade prediction with neural collaborative filtering

Z Ren, X Ning, AS Lan… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Over the past decade low graduation and retention rates has plagued higher education
institutions. To assist students in choosing a sequence of courses, choosing majors and …

A course recommendation system based on grades

B Mondal, O Patra, S Mishra… - … conference on computer …, 2020 - ieeexplore.ieee.org
The online courses are playing a crucial role in developing new skills in learners and in the
education system. Now a days a massive number of online courses and certifications are …

Sequence based course recommender for personalized curriculum planning

C Wong - Artificial Intelligence in Education: 19th International …, 2018 - Springer
Students in higher education need to select appropriate courses to meet graduation
requirements for their degree. Selection approaches range from manual guides, on-line …

Efficient Course Recommendation using Deep Transformer based Ensembled Attention Model

A Madhavi, A Nagesh… - EAI Endorsed Transactions …, 2023 - publications.eai.eu
The exponential development of online learning resources has led to an information
overload problem. Therefore, recommender systems play a crucial role in E-learning to …

Skill based course recommendation system

V Sankhe, J Shah, T Paranjape… - … on Computing, Power …, 2020 - ieeexplore.ieee.org
In today's world, students face an immense repertoire of options relating to the number of
courses that they may choose from. To make this seemingly massive choice relatively easy …

Course recommendation with deep learning approach

TT Dien, L Hoai-Sang, N Thanh-Hai… - Future Data and Security …, 2020 - Springer
Course selection is a crucial task which may affect greatly on student performance. Because
of poor performances, numerous students have been receiving formal warnings and …

The prediction of student grades using collaborative filtering in a course recommender system

M Ceyhan, S Okyay, Y Kartal… - 2021 5th international …, 2021 - ieeexplore.ieee.org
The increasing amount of data has made recommender systems necessary, especially with
the internet and social media. Recommender systems refine the crucial information about …

Constrained matrix factorization for course score prediction

ST Zhong, L Huang, CD Wang… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Recommender system is widely used in e-commercial platforms to recommend users
suitable items according to users's preferences. In recent years, an increasing amount of …

Integrating deep learning architecture into matrix factorization for student performance prediction

TN Huynh-Ly, HT Le, N Thai-Nghe - … 2021, Virtual Event, November 24–26 …, 2021 - Springer
In universities using the academic credit system, choosing elective courses is a crucial task
that significantly affects student performance. Because of poor performances, numerous …