An overview and comparison of supervised data mining techniques for student exam performance prediction

N Tomasevic, N Gvozdenovic, S Vranes - Computers & education, 2020 - Elsevier
Recent increase in the availability of learning data has given educational data mining an
importance and momentum, in order to better understand and optimize the learning process …

[HTML][HTML] Educación a distancia y virtual: calidad, disrupción, aprendizajes adaptativo y móvil

LG Aretio - RIED. Revista Iberoamericana de Educación a …, 2017 - redalyc.org
Frente a las resistencias, la educación a distancia y digital va tomando ventaja sobre los
formatos presenciales. Cuando los diseños pedagógicos son acertados, la calidad de los …

Artificial neural networks for educational data mining in higher education: A systematic literature review

E Okewu, P Adewole, S Misra… - Applied Artificial …, 2021 - Taylor & Francis
Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

Analítica visual en e-learning

DA Gómez-Aguilar… - Profesional de …, 2014 - revista.profesionaldelainformacion …
Las tecnologías utilizadas en los procesos de aprendizaje implican el registro de todas las
actividades realizadas. Estos datos se pueden aprovechar para la evaluación de …

Predicting academic performance of students from VLE big data using deep learning models

H Waheed, SU Hassan, NR Aljohani, J Hardman… - Computers in Human …, 2020 - Elsevier
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …

Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and …

ÁF Agudo-Peregrina, S Iglesias-Pradas… - Computers in human …, 2014 - Elsevier
Learning analytics is the analysis of electronic learning data which allows teachers, course
designers and administrators of virtual learning environments to search for unobserved …

Data entry: Towards the critical study of digital data and education

N Selwyn - Learning, Media and Technology, 2015 - Taylor & Francis
The generation and processing of data through digital technologies is an integral element of
contemporary society, as reflected in recent debates over online data privacy,'Big Data'and …

[HTML][HTML] Learning analytics dashboards for adaptive support in face-to-face collaborative argumentation

J Han, KH Kim, W Rhee, YH Cho - Computers & Education, 2021 - Elsevier
Despite the potential of learning analytics for personalized learning, it has seldom been
used to support collaborative learning particularly in face-to-face (F2F) learning contexts …

Teaching with analytics: Towards a situated model of instructional decision-making

AF Wise, Y Jung - Journal of Learning Analytics, 2019 - learning-analytics.info
The process of using analytic data to inform instructional decision-making is acknowledged
to be complex; however, details of how it occurs in authentic teaching contexts have not …

Formative assessment strategies for students' conceptions—The potential of learning analytics

J Stanja, W Gritz, J Krugel, A Hoppe… - British Journal of …, 2023 - Wiley Online Library
Formative assessment is considered to be helpful in students' learning support and teaching
design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of …