Analyzing student performance in programming education using classification techniques
In this research, we aggregated students log data such as Class Test Score (CTS),
Assignment Completed (ASC), Class Lab Work (CLW) and Class Attendance (CATT) from …
Assignment Completed (ASC), Class Lab Work (CLW) and Class Attendance (CATT) from …
[PDF][PDF] Comparison of weighted sum model and multi attribute decision making weighted product methods in selecting the best elementary school in Indonesia
S Tunas Bangsa Pematangsiantar - International Journal of Software …, 2017 - academia.edu
Selection program of the best elementary school in Indonesia aims to spur the development
of the growth and improve the quality of the primary school. In this paper, the selection of the …
of the growth and improve the quality of the primary school. In this paper, the selection of the …
Implementation of the Analytic Hierarchy Process for Student Profile Analysis.
Data science is the discipline that allows the exploration and analysis of data in order to
extract useful and relevant information for decision making and problem solving. In the …
extract useful and relevant information for decision making and problem solving. In the …
Digital transformation in higher education: maturity and challenges post COVID-19
Digital transformation in higher education, especially after COVID-19 is inevitable. This
research explores digital transformation maturity and challenges post COVID-19. The …
research explores digital transformation maturity and challenges post COVID-19. The …
An artificial neural network based early prediction of failure-prone students in blended learning course
O Sukhbaatar, T Usagawa… - International Journal of …, 2019 - learntechlib.org
One of the objectives of the performance measurement of grade-based higher education is
to reduce the failure rate of students. To identify and reduce the number of failing students …
to reduce the failure rate of students. To identify and reduce the number of failing students …
Learning management systems: A shift toward learning and academic analytics
Abstract© 2016. This paper presents the major findings from a study conducted with six
different universities in the US regarding their use of the Learning Analytics (LA) capabilities …
different universities in the US regarding their use of the Learning Analytics (LA) capabilities …
A digital maturity model for the education enterprise
Digital transformation in higher education, especially after COVID-19, is seen as inevitable.
This research explores digital transformation's maturity and challenges within the education …
This research explores digital transformation's maturity and challenges within the education …
Student perceptions analysis of online learning: A machine learning approach
The covid-19 pandemic is currently occurring affects almost all aspects of life, including
education. School From Home (SFH) is one of the ways to prevent the spread of Covid-19 …
education. School From Home (SFH) is one of the ways to prevent the spread of Covid-19 …
A personalized MOOC learning group and course recommendation method based on graph neural network and social network analysis
In order to enhance students' initiative and participation in MOOC learning, this study
constructed a multi-level network model based on Social Network Analysis (SNA). The …
constructed a multi-level network model based on Social Network Analysis (SNA). The …
Integrating structural causal model ontologies with LIME for fair machine learning explanations in educational admissions
B igoche Igoche, O Matthew… - Journal of …, 2024 - researchportal.port.ac.uk
This study employed knowledge discovery in databases (KDD) to extract and discover
knowledge from the Benue State Polytechnic (Benpoly) admission database and used a …
knowledge from the Benue State Polytechnic (Benpoly) admission database and used a …