Predictive analytic models of student success in higher education: A review of methodology
Purpose Many higher education institutions are investigating the possibility of developing
predictive student success models that use different sources of data available to identify …
predictive student success models that use different sources of data available to identify …
Supporting quality teaching using educational data mining based on OpenEdX platform
W Han, D Jun, G Xiaopeng… - 2017 IEEE Frontiers in …, 2017 - ieeexplore.ieee.org
Our lab-based small private online course (SPOC) combined online resources and
technology with engagement between faculty and students based on OpenEdX platform. It …
technology with engagement between faculty and students based on OpenEdX platform. It …
Artificial Intelligence in Education
M Lievertz - Artificial Intelligence and Machine Learning for …, 2019 - taylorfrancis.com
The institutional impact of Artificial Intelligence (AI) on education for schools, universities,
etc. will no doubt be profound, but should have close parallels to the impact of AI on other …
etc. will no doubt be profound, but should have close parallels to the impact of AI on other …
Development of an Academic Environment Model
HM Langa - … Education and Development: Innovative Approaches in …, 2024 - Springer
An environment is a total of the surroundings of a living organism, including forces and other
things which provide conditions for development and growth as well as for danger or …
things which provide conditions for development and growth as well as for danger or …
[图书][B] Text mining framework for detecting assessment and feedback issues using students' evaluation surveys
ZM Ibrahim - 2023 - pure.port.ac.uk
Assessment and feedback category is a fundamental component for testing student learning,
huge debates about assessment and feedback have been a hot topic for researchers, the …
huge debates about assessment and feedback have been a hot topic for researchers, the …
[图书][B] Modelling student success or failure in electrical engineering at the vaal university of technology using machine learning techniques
HM Langa - 2018 - search.proquest.com
The success of students in academic institutions, colleges, universities is still a challenge
that faces many of these institutions. Models have been developed and the use of machine …
that faces many of these institutions. Models have been developed and the use of machine …
[PDF][PDF] Prediction of students' performance in e-learning environment of UTMSPACE program
Z Hussaini - 2017 - eprints.utm.my
Part-time educational programmes enable workers in both private and public sectors a
means of acquiring knowledge and advancing themselves in their career. However, part …
means of acquiring knowledge and advancing themselves in their career. However, part …
[PDF][PDF] A Study of Comment Data Mining to Predict Student Performance
ソロル,シャイマーイズエルアラブ - 2016 - catalog.lib.kyushu-u.ac.jp
Predicting student performance (PSP) is an important task in the educational environment.
To accomplish this objective, we would like to know whether students correctly solve a given …
To accomplish this objective, we would like to know whether students correctly solve a given …