Intelligent Decision Support System for Higher Education Institutions

N Afriliana, FL Gaol, H Soeparno - 2023 9th International …, 2023 - ieeexplore.ieee.org
To ensure the sustainability of their operations, higher education institutions have to
establish a robust strategic plan. Higher education institutions have an obligation to …

Enhancing Online Learning Experience: An Ensemble Approach for Classifying Student Adaptivity Level

B Mutiara, GF Ariyanto, AAS Gunawan… - … of Science and …, 2024 - ieeexplore.ieee.org
The study investigates the increasing demand of online learning as a means of addressing
education issues in the context of the COVID-19 epidemic. Online learning requires several …

The Investigation of Student's Online Learning Adaptability Level Prediction Based on AutoML

Y Zhao, P Wang - 2024 IEEE 3rd International Conference on …, 2024 - ieeexplore.ieee.org
In the rapidly evolving realm of online education, developing an accurate method for
assessing students' adaptability is of paramount importance to the educational field. It …

Assessing student performance in Digital Signal Processing (DSP) subjects: a comparative study of traditional and online learning environments

MR Sultan Mohd, J Johari… - Journal of Electrical and …, 2024 - ir.uitm.edu.my
This study compares traditional and online learning environments to evaluate students'
performance in Digital Signal Processing (DSP). Online learning had become an option for …

The Prediction and Investigation of Factors in the Adaptability Level of Online Learning Based on AutoML and K-Means Algorithm

Y Zhao, P Wang - 2024 IEEE 2nd International Conference on …, 2024 - ieeexplore.ieee.org
This study applies advanced Artificial Intelligence (AI) tool to analyze 1,205 students, aiming
to enhance adaptability prediction and identify key influencing factors. Using K-means …

Модель та засоби збирання та оброблення даних з використанням машинного навчання

ВВ Петрина, AВ Дорошенко… - … вісник НЛТУ України, 2023 - nv.nltu.edu.ua
Анотація Досліджено вплив ітеративного методу зважування даних респондентів на
підставі певних факторів на точність навчання моделі машинного навчання для …