10th International Conference on Educational Data Mining
When : 2017-06-23
Where : Cebu, Philippines
Submission Deadline : 2017-02-11
Categories : Education , Data Mining
10th International Conference on Educational Data Mining
EDM 2017
June 23rd – 25th, 2017
Cebu, Philippines
CALL FOR PAPERS
We invite submissions to the 10th International Conference on Educational Data Mining (EDM2017), to be held in
Cebu, Philippines, under the auspices of the International Data Mining Society on June 23rd – 25th, 2017.The EDM conference is a leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces that students leave when they interact, either individually or collaboratively, with learning management systems, interactive learning environments, intelligent tutoring systems, educational games or when they participate in a data-rich learning context. The types of data therefore range from raw log files to eye-tracking devices and other sensor data.
EDM 2017 will be collocated with the 18th International Conference on Artificial Intelligence in Education – AIED 2017 – June 26 – 30, 2017 in Cebu, Philippines.
TOPICS OF INTEREST :
Topics of interest to the conference include, but are not limited to:
- Closing the loop between education data research and educational outcomes
- Deriving representations of domain knowledge from data
- Detecting and addressing students’ affective and emotional states
- Integrating data mining and educational theory
- Data mining with emerging pedagogical environments such as educational games, MOOCs, and exploratory learning environments
- Multi-modal learning environments and sensor analysis
- Using EDM methods to provide support for teachers and other stakeholders
- Bridging EDM and Learning Analytics
- Bridging EDM with pedagogical theory, learning sciences, and learning theory
- Mining user-system interaction logs, automated feedback, and grading
- Best practices for adapting the state of the art data mining approaches to the educational domain
- Data mining in social and collaborative learning
- Generic frameworks, techniques, research methods, and approaches for EDM
- Automatic assessment of student knowledge
- Evaluation of the efficacy of curriculum and interventions
IMPORTANT DATES :
- Workshop proposal submissions : February 11th, 2017
- Full, Short & Industry paper submissions : February 25th, 2017
- Poster/Demo/Tutorial/DC submissions : April 1st, 2017
User Name : shaun
Posted 03-10-2016 on 09:51:19 AEDT