Analyzing student performance in programming education using classification techniques

K Sunday, P Ocheja, S Hussain, S Oyelere… - … Journal of Emerging …, 2020 - learntechlib.org
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 …

Implementation of the Analytic Hierarchy Process for Student Profile Analysis.

N Sael, T Hamim, F Benabbou - International Journal of …, 2019 - search.ebscohost.com
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 …

[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 …

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 …

Digital transformation in higher education: maturity and challenges post COVID-19

A Marks, M Al-Ali, R Atassi, AA Elkishk… - … Technology and Systems …, 2021 - Springer
Digital transformation in higher education, especially after COVID-19 is inevitable. This
research explores digital transformation maturity and challenges post COVID-19. The …

A digital maturity model for the education enterprise

M Al-Ali, A Marks - Perspectives: Policy and Practice in Higher …, 2022 - Taylor & Francis
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 …

Learning management systems: A shift toward learning and academic analytics

A Marks, M Al-Ali, K Rietsema - International Journal of …, 2016 - zuscholars.zu.ac.ae
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 …

Student perceptions analysis of online learning: A machine learning approach

H Suparwito, AM Polina, M Budiraharjo - Indonesian Journal of …, 2021 - ojs.uajy.ac.id
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 …

Análisis del desempeño del profesorado universitario en el uso de MOODLE a través de técnicas de minería de datos: propuestas de necesidades formativas

PEC Chacón, AZ González… - Revista de Educación …, 2018 - revistas.um.es
Resumen Los Sistemas de Gestión de Aprendizaje son empleados por numerosas
instituciones educativas de nivel superior para organizar y distribuir cursos en línea …

Analyzing student's learning interests in the implementation of blended learning using data mining

Y Ariyanto, B Harijanto, A Asri - 2020 - learntechlib.org
Blended Learning combines teaching and learning activities in the classroom and online
teaching. In its implementation, this learning method requires a lot of data. One of them is the …