Educational data mining and learning analytics for 21st century higher education: A review and synthesis
The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …
outcomes has been realized in higher education. Hence, a comprehensive review of …
Educational data mining: A survey and a data mining-based analysis of recent works
A Peña-Ayala - Expert systems with applications, 2014 - Elsevier
This review pursues a twofold goal, the first is to preserve and enhance the chronicles of
recent educational data mining (EDM) advances development; the second is to organize …
recent educational data mining (EDM) advances development; the second is to organize …
Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques
R Pelánek - User modeling and user-adapted interaction, 2017 - Springer
Learner modeling is a basis of personalized, adaptive learning. The research literature
provides a wide range of modeling approaches, but it does not provide guidance for …
provides a wide range of modeling approaches, but it does not provide guidance for …
Next-term student performance prediction: A recommender systems approach
An enduring issue in higher education is student retention to successful graduation. National
statistics indicate that most higher education institutions have four-year degree completion …
statistics indicate that most higher education institutions have four-year degree completion …
Affective states and state tests: Investigating how affect and engagement during the school year predict end-of-year learning outcomes.
In this paper, we investigate the correspondence between student affect and behavioural
engagement in a web-based tutoring platform throughout the school year and learning …
engagement in a web-based tutoring platform throughout the school year and learning …
Affective states and state tests: Investigating how affect throughout the school year predicts end of year learning outcomes
In this paper, we investigate the correspondence between student affect in a web-based
tutoring platform throughout the school year and learning outcomes at the end of the year …
tutoring platform throughout the school year and learning outcomes at the end of the year …
Simulated learners in educational technology: A systematic literature review and a turing-like test
Simulation is a powerful approach that plays a significant role in science and technology.
Computational models that simulate learner interactions and data hold great promise for …
Computational models that simulate learner interactions and data hold great promise for …
[PDF][PDF] Learning analytics lens: Improving quality of higher education
M Hooda, C Rana - International journal of emerging trends in …, 2020 - academia.edu
With digital revolution expansion and a rapid change in the technologies, educational data
is increasing at a swift pace. Learning analytics (LA) turns out to be a powerful tool for …
is increasing at a swift pace. Learning analytics (LA) turns out to be a powerful tool for …
Learning analytics: How can data be used to improve learning practice?
Learning and learning contexts are multifarious and notoriously difficult to understand in
detail. Part of such complexity derives from the difficulty to observe the interactions between …
detail. Part of such complexity derives from the difficulty to observe the interactions between …
[PDF][PDF] Towards moment of learning accuracy
Models of student knowledge have occupied a significant portion of the literature in the area
of Educational Data Mining1. In the context of Intelligent Tutoring Systems, these models are …
of Educational Data Mining1. In the context of Intelligent Tutoring Systems, these models are …