Data mining in education

C Romero, S Ventura - Wiley Interdisciplinary Reviews: Data …, 2013 - Wiley Online Library
Applying data mining (DM) in education is an emerging interdisciplinary research field also
known as educational data mining (EDM). It is concerned with developing methods for …

Educational data mining and learning analytics

RS Baker, T Martin, LM Rossi - The Wiley handbook of …, 2016 - Wiley Online Library
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 …

Predicting students' final performance from participation in on-line discussion forums

C Romero, MI López, JM Luna, S Ventura - Computers & Education, 2013 - Elsevier
On-line discussion forums constitute communities of people learning from each other, which
not only inform the students about their peers' doubts and problems but can also inform …

The role of social network analysis as a learning analytics tool in online problem based learning

M Saqr, A Alamro - BMC medical education, 2019 - Springer
Background Social network analysis (SNA) might have an unexplored value in the study of
interactions in technology-enhanced learning at large and in online (Problem Based …

How social network analysis can be used to monitor online collaborative learning and guide an informed intervention

M Saqr, U Fors, M Tedre, J Nouri - PloS one, 2018 - journals.plos.org
To ensure online collaborative learning meets the intended pedagogical goals (is actually
collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency …

Classification via clustering for predicting final marks based on student participation in forums.

MI Lopez, JM Luna, C Romero, S Ventura - International Educational Data …, 2012 - ERIC
This paper proposes a classification via clustering approach to predict the final marks in a
university course on the basis of forum data. The objective is twofold: to determine if student …

How the study of online collaborative learning can guide teachers and predict students' performance in a medical course

M Saqr, U Fors, M Tedre - BMC medical education, 2018 - Springer
Background Collaborative learning facilitates reflection, diversifies understanding and
stimulates skills of critical and higher-order thinking. Although the benefits of collaborative …

Learner participation profiles in an asynchronous online collaboration context

MK Kim, T Ketenci - The internet and higher education, 2019 - Elsevier
The purpose of this study was to propose and validate a measurable model of learner
participation in the context of online asynchronous discussion. We supplemented the …

Data for Flipped Classroom Design: Using Student Feedback to Identify the Best Components from Online and Face-to-Face Classes.

T Crews, J Butterfield - Higher Education Studies, 2014 - ERIC
Colleges and universities have seen considerable enrollment growth in online courses
during the past decade. However, online modalities are not optimal for all subject areas or …

MDM tool: A data mining framework integrated into Moodle

JM Luna, C Castro, C Romero - Computer Applications in …, 2017 - Wiley Online Library
The interest in developing Learning Analytics tools that can be integrated into the well‐
known Moodle course management systems is increasing nowadays. These tools generally …