Results 51 to 60 of about 798 (155)
Prediction of student performance is crucial for enhancing the quality of higher education worldwide by enabling timely interventions and personalized support. The blended learning environment, which integrates online and offline instruction, has become a predominant paradigm, yet it also brings significant challenges for the prediction of student ...
Wu Xiuguo, Richard Murray
wiley +1 more source
This paper tackles the issue of estimating population variance in surveys conducted over two occasions (successive) sampling, specifically when dealing with random nonresponse. A traditional estimator for this scenario is proposed and then enhanced by incorporating auxiliary variable information using a calibration approach.
A. Audu +4 more
wiley +1 more source
this study aimed to investigate the relationship among resilience, cognitive load, and sociodemographic variables among college level students in the UAE during the COVID-19 pandemic.
Hasan Al-Omari +2 more
doaj +1 more source
Background One of the most important indicators of the effectiveness of teaching can be the academic achievement of learners, which can be influenced by different factors such as learning methods and individual motivations.
Sakineh Nabizadeh +3 more
doaj +1 more source
Blockchain based intelligent disbursement in National Scholarship Portal
Abstract The National Scholarship Portal in India serves as a one‐stop solution for students seeking financial aid for their studies across the country. However, in this digital era, the national‐level portal faces challenges such as limited provision for only government scholarships, non‐automated systems, complex application processes, reliance on ...
Lifna Challissery Samu +5 more
wiley +1 more source
Interpreting the Machine Learning Approaches to Predict CGPA of the University Students
This study focuses on building a model to predict Cumulative Grade Point Average (CGPA) categories and identify students who might struggle academically during their time at university. The study uses student-related data to classify CGPA into specific grades (O, A+, A, B+, B, C+, C and F) and tested different machine learning methods like Naive Bayes,
Ranjit Paul +5 more
openaire +1 more source
Abstract Background and Aims Mental health problem is a rising public health concern. People of all ages, specially Bangladeshi university students, are more affected by this burden. Thus, the objective of the study was to use tree‐based machine learning (ML) models to identify major risk factors and predict anxiety, depression, and insomnia in ...
Arman Hossain Chowdhury +2 more
wiley +1 more source
Investigating the Interplay between Student Entering Age and Grades: The Gibbs Sampling Approach [PDF]
Although periodic review of the requirements for admission into universities in Nigeria are essential for quality education and enhanced academic performance, however, they at times have negative consequences, such as inconsistent policies resulting in ...
Yohana Mbaga +2 more
doaj +1 more source
Purpose. This cross‐sectional survey study aimed to examine the association between vegetarian diet consumption and sleep quality, academic performance, and health‐related quality of life among female undergraduate college students. Method. A sample of 158 undergraduate female college students was recruited using a convenience sampling approach.
Rana F. Obeidat +6 more
wiley +1 more source
CGPA: multi-context insights from the cancer gene prognosis atlas
ABSTRACT Cancer transcriptomic data are used extensively to interrogate the prognostic value of targeted genes, yet basic scientists and clinicians have predominantly relied on univariable survival analysis for this purpose. This method often fails to capture the full prognostic potential and contextual relevance of the genes under ...
Biwei Cao +9 more
openaire +2 more sources

