Academic performance predictors

C Lei, KF Li - 2015 IEEE 29th International Conference on …, 2015 - ieeexplore.ieee.org
The ability to predict one's academic performance is a great asset for both the students and
the institution administrators. For the students, they can adjust workload, career direction …

[PDF][PDF] The role of dataset in training ANFIS system for course advisor

V Vaidhehi - International Journal of Innovative Research in …, 2014 - academia.edu
Adaptive Network based Fuzzy Inference System (ANFIS) is used in the field of decision
making to help the students to choose the best course according to his/her requirements …

A review on student performance prediction using educational data mining and artificial intelligence

PS Pawar, R Jain - 2021 IEEE 2nd International Conference on …, 2021 - ieeexplore.ieee.org
Predicting student's performance helps all stakeholders of education system to plan and
take appropriate measures. Increase in the number of higher educational institutes and …

[PDF][PDF] Student performance evaluation using data mining techniques for engineering education

V Deshmukh, S Mangalwede… - Adv. Sci. Technol. Eng …, 2018 - pdfs.semanticscholar.org
In this research work, we are implementing a student performance evaluation model using
Mamdani Fuzzy Inference System (FIS) and Neuro Fuzzy system and comparing the results …

[PDF][PDF] Klasifikasi Kinerja Pegawai Universitas X dengan pendekatan Neuro-Fuzzy

RD Nompunu, PB Santosa, E Yudaningtyas - Jurnal EECCIS, 2018 - researchgate.net
Klasifikasi kinerja pegawai universitas x adalah dasar kebijakan rekomendasi sistem karir,
hal ini dilakukan setiap tahun dengan metode tertentu, penggunaan metode ini pada …

31 Review of Learning Analytics Techniques and Limitations in Higher Education

TU Paul, T Biswas - Artificial Intelligence and Knowledge …, 2023 - books.google.com
The present century is the age of analytics. Analytics has made inroads in the educational
sector also. In academics, it is known as learning analytics. Learning analytics is the process …

[图书][B] On the K-Nearest Neighbor approach to the generation of fuzzy rules for college student performance prediction

CY Weston - 2015 - search.proquest.com
Prediction of college student performance has long been a topic of research for College
Board administrators and educators concerned with university admittance standards …

Review of Learning Analytics Techniques and Limitations in Higher Education: A 21st-Century Paradigm

TU Paul, T Biswas - Artificial Intelligence and Knowledge Processing - taylorfrancis.com
The education system is rapidly transforming into a technology-driven learning system,
where the data provided by the system on the students' behaviour in a course curriculum …