Bildungsinformatik

Bildungsinformatik: Educational Data Mining

Description

This seminar on „Educational Data Mining“ is the first course in the study module „Educational Computer Science“ (Bildungsinformatik). Educational Computer Science is a new research area where TU Darmstadt and the DIPF (German Institute for International Educational Research/Deutsches Institut für internationale pädagogische Forschung) cooperate.

Educational Computer Science is about theoretical foundations, methods and tools as well as the application of computer science in all areas relevant for education. It is an innovative interdisciplinary research area between computer science and educational sciences like psychology.

The course addresses innovative computer science methods that help to investigate educational data, namely large amounts of log data coming from e.g. learning management systems or complex assessments. Such methods are comprised be the terms “educational data mining” or “learning analytics”. Examples are methods like text mining, information retrieval, data mining (e.g., learning, association mining, cluster analysis) and data visualization.

The seminar provides detailed coverage of current techniques, their strengths and limitations, and current research directions by including recent research papers, where applicable. In the course of the seminar, students will acquire key skills like the fundamentals in academic research and scientific writing, and they will be encouraged to improve their presentation skills.

Literature

Romero, Ventura, Pechenizkiy, Baker (2011). Handbook of Educational Data Mining, CRC Press, ISBN: 978-1-4398-0457-5.

van der Aalst (2011). Process Mining, Springer, ISBN: 978-3-642-19344-6

Where applicable, current research papers will be discussed in class.

Prerequisites and Preparation

Introductory lessons will be given by the instructor. It is expected that these overview contents are thoroughly worked through in addition to attending the seminar.

Expectations

Each student is expected to

  • give a 30 min. talk in class + 15 min. Q&A afterwards
  • write a term paper
  • show active participation in class

Materials and Forum

The course management system is used as the primary communication platform for the seminar and also contains any related material. The access key will be provided in the first seminar session.

For general advice on presenting your topic, please have a look at these guidelines.

Timetable

The seminar takes place Monday, 09:50 – 11:30, S2|02 C120.

  • Admin + general introduction: 15.10.2012
  • Introductory session continued + topic assignments: 22.10.2012
  • Planned: invited talk: 29.10.2012
  • Discussion of topics: 05.11.2012
  • Start of student presentations: 12.11.2012
  • Office hours:subject to prior appointment

Lecturers

Dr. Heiko Rölke (DIPF)