Data mining techniques for predicting teacher evaluation in higher education: A systematic literature review
Teacher evaluation is presented as an object of study of great interest, where multiple efforts
converge to establish models from the association of heterogeneous data from academic …
converge to establish models from the association of heterogeneous data from academic …
[PDF][PDF] Enhancing Student's Performance Classification Using Ensemble Modeling
A precise prediction of student performance is an important aspect within educational
institutions to improve results and provide personalized support of students. However, the …
institutions to improve results and provide personalized support of students. However, the …
How successful the online assessment techniques in distance learning have been, in contributing to academic achievements of management undergraduates?
H Thathsarani, DK Ariyananda, C Jayakody… - Education and …, 2023 - Springer
The implementation of online teaching and assessments was prompted by the current
COVID-19 pandemic. Therefore, all universities had to adopt the distance-learning method …
COVID-19 pandemic. Therefore, all universities had to adopt the distance-learning method …
A Systematic Literature Review on Performance Prediction in Learning Programming Using Educational Data Mining
Programming education has become an essential skill for the digital generation. However, it
presents a unique set of challenges that can be difficult for beginners. Educational data …
presents a unique set of challenges that can be difficult for beginners. Educational data …
Earliest possible global and local interpretation of students' performance in virtual learning environment by leveraging explainable AI
In this research study, we propose an Explainable Artificial Intelligence (XAI) model that
provides the earliest possible global and local interpretation of students' performance at …
provides the earliest possible global and local interpretation of students' performance at …
Utilizing machine learning models to predict student performance from LMS activity logs
In recent years, the application of data mining techniques on educational data has grown in
importance. Educational data mining can be used to find hidden patterns in students' …
importance. Educational data mining can be used to find hidden patterns in students' …
Peer versus teacher corrections through electronic learning communities and face-to-face classroom interactions and EFL learners' passion for learning, speaking …
X Li, W Hu - Heliyon, 2024 - cell.com
This study investigated how different feedback sources, such as teacher and peer correction,
affect students learning English as a foreign language (EFL) regarding speaking accuracy …
affect students learning English as a foreign language (EFL) regarding speaking accuracy …
Educational Computational Chemistry for In-Service Chemistry Teachers: A Data Mining Approach to E-Learning Environment Redesign
J Hernández-Ramos, L Cáceres-Jensen… - Education …, 2023 - mdpi.com
The use of technology in education has experienced significant growth in recent years. In
this regard, computational chemistry is considered a dynamic element due to the constant …
this regard, computational chemistry is considered a dynamic element due to the constant …
A New Student Performance Prediction Method Based on Belief Rule Base with Automated Construction
M Liu, W He, G Zhou, H Zhu - Mathematics, 2024 - search.proquest.com
Student performance prediction (SPP) is a pivotal task in educational analytics, enabling
proactive interventions and optimized resource allocation by educators. Traditional SPP …
proactive interventions and optimized resource allocation by educators. Traditional SPP …
Beyond the scoreboard: a machine learning investigation of online games' influence on Jordanian university students' grades
M Alshraideh, AAJ Abu-Zayed, M Leiner… - … Intelligence and Soft …, 2024 - Wiley Online Library
In the latter part of the 21st century, the prevalence of online games has significantly
increased, encompassing titles connected to the Internet via smart devices, enabling …
increased, encompassing titles connected to the Internet via smart devices, enabling …