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 …
Educational data mining and learning analytics
In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …
Improving the measurement of self-regulated learning using multi-channel data
In recent years, unobtrusive measures of self-regulated learning (SRL) processes based on
log data recorded by digital learning environments have attracted increasing attention …
log data recorded by digital learning environments have attracted increasing attention …
A contextualized, differential sequence mining method to derive students' learning behavior patterns.
JS Kinnebrew, KM Loretz, G Biswas - Journal of Educational Data Mining, 2013 - ERIC
Computer-based learning environments can produce a wealth of data on student learning
interactions. This paper presents an exploratory data mining methodology for assessing and …
interactions. This paper presents an exploratory data mining methodology for assessing and …
Adaptive or adapted to: Sequence and reflexive thematic analysis to understand learners' self‐regulated learning in an adaptive learning analytics dashboard
The real‐time and granularized learning information and recommendations available from
adaptive learning technology can provide learners with feedback that is personalized …
adaptive learning technology can provide learners with feedback that is personalized …
Data mining models for student careers
R Campagni, D Merlini, R Sprugnoli… - Expert Systems with …, 2015 - Elsevier
This paper presents a data mining methodology to analyze the careers of University
graduated students. We present different approaches based on clustering and sequential …
graduated students. We present different approaches based on clustering and sequential …
Assessing individual contributions to collaborative problem solving: a network analysis approach
Abstract Collaborative Problem Solving (CPS) is an interactive, interdependent, and
temporal process. However, current methods for measuring the CPS processes of …
temporal process. However, current methods for measuring the CPS processes of …
An interactive teacher's dashboard for monitoring groups in a multi-tabletop learning environment
One of the main challenges for teachers in facilitating and orchestrating collaborative
activities within multiple groups is that they cannot see information in real time and typically …
activities within multiple groups is that they cannot see information in real time and typically …
How can high-frequency sensors capture collaboration? A review of the empirical links between multimodal metrics and collaborative constructs
This paper reviews 74 empirical publications that used high-frequency data collection tools
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …