Examining the Impacts of Course Outcome Analysis in Indian Higher Education: Enhancing Educational Quality

V Venkatasubramanian, M Chitra, R Sudha… - … of Globalization and …, 2024 - igi-global.com
Abstract Course Outcome Analysis (COA) is a crucial tool in Indian higher education,
enhancing educational quality and aligning programs with industry standards. It defines …

[HTML][HTML] Predicting the depression in university students using stacking ensemble techniques over oversampling method

AD Vergaray, JCH Miranda, JB Cornelio… - Informatics in medicine …, 2023 - Elsevier
Background Depression is that mental health disorder characterized by constant sadness for
approximately 2 weeks, in which it generates an inability to do daily activities, and those …

A method for predicting the academic performances of college students based on education system data

C Liu, H Wang, Z Yuan - Mathematics, 2022 - mdpi.com
With the development of university campus informatization, effective information mined from
fragmented data can greatly improve the management levels of universities and the quality …

Anomaly Detection in Student Activity in Solving Unique Programming Exercises: Motivated Students against Suspicious Ones

LA Demidova, PN Sovietov, EG Andrianova… - Data, 2023 - mdpi.com
This article presents a dataset containing messages from the Digital Teaching Assistant
(DTA) system, which records the results from the automatic verification of students' solutions …

Learning analytics to determine profile dimensions of students associated with their academic performance

A Gonzalez-Nucamendi, J Noguez, L Neri… - Applied Sciences, 2022 - mdpi.com
With the recent advancements of learning analytics techniques, it is possible to build
predictive models of student academic performance at an early stage of a course, using …

Enhancing Human–Computer Interaction in Online Education: A Machine Learning Approach to Predicting Student Emotion and Satisfaction

AM Mutawa, S Sruthi - International Journal of Human–Computer …, 2024 - Taylor & Francis
Maintaining student engagement is pivotal in the rapidly evolving landscape of online
education. The factors that affect and predict students' satisfaction during online learning are …

Early prediction of student performance in a health data science MOOC

N Rohani, K Gal, M Gallagher… - … of the 16th …, 2023 - research-repository.st-andrews.ac …
Massive Open Online Courses (MOOCs) make high-quality learning accessible to students
from all over the world. On the other hand, they are known to exhibit low student …

Understanding school anxiety in Italian adolescence through an artificial neural network: Influence of social skills and coping strategies

FM Morales-Rodríguez, JP Martínez-Ramón… - Children, 2023 - mdpi.com
School anxiety depends on multiple factors that occur directly or indirectly in the teaching–
learning process, such as going to the blackboard in class or reporting low grades at home …

[HTML][HTML] Enhancing educational evaluation through predictive student assessment modeling

PX Lam, PQH Mai, QH Nguyen, T Pham… - … and Education: Artificial …, 2024 - Elsevier
This study evaluates several machine learning models used in predicting student
performance. The data utilized in this study was collected from 253 undergraduate students …

The Implementation of Health Protocol in Irrigation Small Scale Project in Padang Pariaman District.

BM Adji, B Istijono, T Ophiyandri… - International …, 2023 - search.ebscohost.com
Infrastructures play an essential role in the development and revitalization of the economy of
a country. However, the outbreak of COVID-19 and its spreading have hindered the …