Help the Educational Data Mining 2018 conference foster discussion among the research community around Artificial Intelligence in Computer Science Education. The conference is looking for papers In this interdisciplinary workshop, researchers, faculty and students are encouraged to share their data mining approaches, methodologies and experiences where AI is transforming the way students learn computer science skills.
Call for papers important dates:
- Thursday, March 15, 2018 — Open call for submissions
- Sunday, April 15, 2018 — Deadline for submissions
- Friday, June 1, 2018 — Notifications of acceptance
- Friday, June 15, 2018 — Confirmation of attendance (early bird registration deadline)
- Sunday, July 1, 2018 — Deadline for camera-ready versions
About the Educational Data Mining in Computer Science Education Workshop
The field of CS education is still facing a range of problems from inefficient teaching approaches to the lack of minority students in CS classes and the absence of skilled CS teachers. One of the solutions to these problems lies with effective technology-enhanced learning and teaching approaches, and especially those enhanced with AI-based functionality. Providing education in Computer Science requires not only specific teaching techniques but also appropriate supporting tools. The number of AI-supported tools for primary, secondary and higher CS education is small and evidence about the integration of AI-supported tools in teaching and learning at various education levels is still rare.
In order to improve our current learning environments and address new challenges we ought to implement new AI techniques, collaborate and share student data footprints in CS. Data is the driving force for innovation at this time and new approaches have been implemented in other fields of innovation and research like Computer Vision and Image Classification. New data-driven learning algorithms and machines to process them are now widely accessible such as Deep Neural Networks and Graphical Processing Units (GPUs).
Questions? Contact email@example.com.
Save the date for Educational Data Mining 2018
Sunday, July 15, 2018–Wednesday, July 18, 2018
University of Buffalo, Buffalo, New York