The extraction of student behavior is an important task in educational data mining. A common approach to detect similar behavior patterns is to cluster sequential data. Standard approaches identify clusters at each time step separately and typically show low performance for data that inherently suffer from noise, resulting in temporally inconsistent clusters. We propose an evolutionary clusteri...

Knowledge Tracing is perhaps the most widely used student model in the field of educational data mining. In this paper we report on the effects of using only a subset of data in training the Bayesian Network that represents this student model. The standard practice is to use all of the students’ data for a given skill to fit the model. We analyze two datasets; one from the Algebra Cognitive tut...

The Learning Analytics and Knowledge (LAK) Dataset represents an unprecedented corpus which exposes a near complete collection of bibliographic resources for a specific research discipline, namely the connected areas of Learning Analytics and Educational Data Mining. Covering over five years of scientific literature from the most relevant conferences and journals, the dataset provides Linked Da...

The 1 international conference on “Educational Data Mining” (EDM) took place in Montreal in 2008 while the 1 international conference on “Learning Analytics and Knowledge” (LAK) took place in Banff in 2011. Since then the fields have grown and established themselves with an annual international conference, a journal and an association each, and gradually increase their overlapping. This paper b...

Today, most educational institutions have become more interested in big data. Because the importance of extracting useful information from data to support decision-making on issues has increased day by day. In this context, through mining, research study aims reveal association rules among compulsory courses Computer Education and Instructional Technology curriculum within faculty education a s...

Big Data and data technologies increasingly find their way into school education. Learning Analytics and Educational Data Mining are focal research areas. However, technical solutions often fail to meet the practical requirements of teachers or to really mirror human learning processes. The LEA’s BOX project aims at developing a practical web platform that hosts tools for a theory-based approac...

The rapid developments in information and communication technologies taking place recent years, make it easy for people to pursue their education distantly. The development of new technologies helped to open spatial and temporal boundaries of learning toward virtual learning, and helped to transform education process from its classical form of courses within classrooms to a new virtual form wit...

Big Data and data technologies increasingly find their way into school education. Learning Analytics and Educational Data Mining are focal research areas. However, technical solutions often fail to meet the practical requirements of teachers or to really mirror human learning processes. The LEA’s BOX project aims at developing a practical web platform that hosts tools for a theory-based approac...

Massive Open Online Courses (MOOCs) offer unprecedented opportunities to learn at scale. Within a few years, the phenomenon of crowd-based learning has gained enormous popularity with millions of learners across the globe participating in courses ranging from Popular Music to Astrophysics. They have captured the imaginations of many, attracting significant media attention – with The New York Ti...

In this era of computerization, education has also revamped itself and is not limited to old lecture method. The regular quest is on to find out new ways to make it more effective and efficient for students. Nowadays, lots of data is collected in educational databases, but it remains unutilized. In order to get required benefits from such a big data, powerful tools are required. Data mining is ...