Results 71 to 80 of about 798 (155)
Role of Starting School Age in the Academic Performance at the Tertiary Level
The purpose of this research was to find out whether starting school earlier than four years of age gave any academic benefit to the students in the long run.
Mahwish Ali Baber, Nawaz Ahmad
doaj
This study examined the relationship between education students’ knowledge of ChatGPT and their academic performance at Mindanao State University–Iligan Institute of Technology.
Vanjoreeh A. Madale
doaj +1 more source
Technology-enhanced assessment (TEA) means all types of assessments that use technological aid either online or offline, either during or after learning with the objective of improving or assessing the process of learning.
Sohayla M Attalla +7 more
doaj +1 more source
BackgroundLearning environments, lifestyle habits, and personal and social factors can significantly influence the academic performance of healthcare professional students.
Shahnaz Mohamed Wazil +12 more
doaj +1 more source
A Statistical Research on the Effects of Mental Health on Students' CGPA
University life promises growth and opportunity, yet for many students, it also brings silent battles with mental health. This study explores how depression, anxiety, and panic attacks affect students’ academic performance, drawing from a dataset of 101 individuals.
openaire +1 more source
Supplementary Table S1 from CGPA: A Multicontext Cancer Gene Prognosis Atlas
<p>Table S1. UMOP genes in SKCM and HNSC demonstrating significant associations with survival in ICI-treated melanoma and HNSC cohorts.</p>
Xuefeng Wang +7 more
openaire +1 more source
Supplementary Figure S1 from CGPA: A Multicontext Cancer Gene Prognosis Atlas
<p>Figure S1. Functional evaluation of top UMOP prognostic genes in HSNC using DepMap.</p>
Xuefeng Wang +7 more
openaire +1 more source
Mathematical model design to integrate EDM with KDDM framework
Higher Education institutions (HEIs), which face many challenges related to student performance, can benefit from integrating educational data mining (EDM) with knowledge discovery and data mining (KDDM).
Subhashini Sailesh Bhaskaran
doaj +1 more source
Student CGPA Prediction and Academic Risk Analysis Using Machine Learning Techniques
Predicting one’s academic performance accurately helps educational institutes to take corrective steps before students’ performance falls irrecoverably. Existing systems used to predict the students’ performance mainly depend on either common behavioural factors that are difficult to capture reliably or on factors that are seldom related to academics ...
null Shiv Yadav +4 more
openaire +1 more source

