Journal ArticleDOI
Data mining in education
Reads0
Chats0
TLDR
Key milestones and the current state of affairs in the field of EDM are reviewed, together with specific applications, tools, and future insights.Abstract:
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 exploring the unique types of data that come from educational environments. Its goal is to better understand how students learn and identify the settings in which they learn to improve educational outcomes and to gain insights into and explain educational phenomena. Educational information systems can store a huge amount of potential data from multiple sources coming in different formats and at different granularity levels. Each particular educational problem has a specific objective with special characteristics that require a different treatment of the mining problem. The issues mean that traditional DM techniques cannot be applied directly to these types of data and problems. As a consequence, the knowledge discovery process has to be adapted and some specific DM techniques are needed. This paper introduces and reviews key milestones and the current state of affairs in the field of EDM, together with specific applications, tools, and future insights. © 2012 Wiley Periodicals, Inc.read more
Citations
More filters
Journal ArticleDOI
Eğitsel Veri Madenciliği Yöntemi İle İlgili Yapılmış Çalışmaların İncelenmesi: İçerik Analizi
TL;DR: Veri madenciligi (VM) uygulamalari teknolojik gelismelerin yasanmasi ve internetin hayatimiza girmesi ile birlikte oldukca onem kazanmistir.
Book ChapterDOI
Educational Data Mining and Learning Analytics in the 21st Century
TL;DR: In this article , an overview of educational data mining and learning analytics and highlighting their essential role in improving 21st century education is presented. But the authors do not discuss their use in educational settings, examine their benefits, and suggest ways to address some of the current open challenges, issues, and limitations.
Book ChapterDOI
Digging Deep Inside: An Extended Analysis of SCHOLAT E-Learning Data
TL;DR: A statistical analysis of e-leaning data obtained from SCHOLAT, a scholar oriented social networking system revealed factors which positively or negatively affect learning achievement of the students, i.e., course final scores.
Proceedings ArticleDOI
Towards an Adaptive Study Management Platform : Freedom Through Personalization
Amir Dirin,Teemu H. Laine +1 more
TL;DR: In an educational context, however, the technology utilization is still relatively low despite recent developments on various fronts.
Funcionalidad, implementación y líneas de desarrollo de la plataforma educativa SWAD / OpenSWAD
Antonio Cañas Vargas,Juan Miguel Boyero,Daniel Jesús Calandria,Eva M. Ortigosa,Francisco J. Fernández Baldomero,Antonio F. Díaz,Samuel Romero,Jesús Mesa,Adrián Lara +8 more
TL;DR: In this article, the authors present a plataforma de b-learning and gestion academica SWAD ofrece multiples herramientas de apoyo a la gestion docente and al aprendizaje, and propose the incorporation of a series of techniques such as gamification, geolocation and data mining with the goals of improving students' motivation and academic performance, and supporting teachers in assessment tasks.
References
More filters
Journal ArticleDOI
Educational Data Mining: A Review of the State of the Art
TL;DR: The most relevant studies carried out in educational data mining to date are surveyed and the different groups of user, types of educational environments, and the data they provide are described.
Journal ArticleDOI
Knowledge Tracing: Modeling the Acquisition of Procedural Knowledge
TL;DR: An effort to model students' changing knowledge state during skill acquisition and a series of studies is reviewed that examine the empirical validity of knowledge tracing and has led to modifications in the process.
Journal ArticleDOI
Educational data mining: A survey from 1995 to 2005
TL;DR: This paper surveys the application of data mining to traditional educational systems, particular web- based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems.
Proceedings ArticleDOI
The State of Educational Data Mining in 2009: A Review and Future Visions
Ryan S. Baker,Kalina Yacef +1 more
TL;DR: This paper reviewed the history and current trends in the field of EDM and discussed trends and shifts in the research conducted by this community, and discussed the increased emphasis on prediction, the emergence of work using existing models to make scientific discoveries, and the reduction in the frequency of relationship mining within the EDM community.
Journal ArticleDOI
Data mining in course management systems: Moodle case study and tutorial
TL;DR: This work describes the full process for mining e-learning data step by step as well as how to apply the main data mining techniques used, such as statistics, visualization, classification, clustering and association rule mining of Moodle data.
Related Papers (5)
The State of Educational Data Mining in 2009: A Review and Future Visions
Ryan S. Baker,Kalina Yacef +1 more