Abstract Coronavirus disease 2019 (COVID-19) has led many colleges and students to use
online learning. In educational databases with so much data, evaluating student …

Educational data mining (EDM) is a part of applied computing that focuses on automatically
analyzing data from learning contexts. Early prediction for identifying at-risk students is a …

Accurately predicting student performance remains a significant challenge in the
educational sector. Identifying students who need additional support early can significantly …

The fields of artificial intelligence (AI) and machine learning (ML) have attracted significant
interest and investment from a diverse range of industries, especially during the last several …

Accurate prediction of student academic performance is crucial for educational institutions
and parents to implement proactive intervention strategies. This study employs machine …

In today's data-driven world, the abundance of information provides us with opportunities to
explore the relationships between various data points, leading to progress in multiple …

This study employs examined machine learning techniques to predict e-learning outcomes
for engineering college students. Specifically, it focuses on the application of Decision Tree …

Bilimsel süreç becerileri, bilimsel bir araştırmayı yürütme sürecinde kullanılması gereken ve
bu nedenle öğrencilere kazandırılması gereken en önemli becerilerin başında gelmektedir …

One of the strategies implemented to improve the teaching of university courses is using
opinion surveys for students. In this way, information can be collected for subsequent …

Check for updates Results Analysis of the Opinion Survey for Mechanical Engineering Students
of a Course Taught in Face-to-Face vs. Online Page 40 Check for updates Results Analysis of …