8. (CHILDLEARN) CHILDREN LEARNING : Robots, Sensors and Mobile Computing

Submission Guidelines & Important Dates

  • Paper Submission: March 24th, 2017 [Extended]
  • Paper Notification: March 28th, 2017 [Extended]
  • Camera-Ready Paper: March 31st, 2017
  • Registration Deadline: March 31st, 2017 See Registration Page

Paper submissions should follow PETRA'17 general guidelines found at www.petrae.org/submissions.html



Developing effective child learning methodologies is an challenging interdisciplinary area that involves expertise in education and learning, robot and sensor technologies, interactive design, computer science, cognitive engineering, machine learning, and social sciences expertise. Currently, this is an emerging area that is facing many challenges because of the huge variety in learning, and the different types of children needs, including children with learning disabilities. This workshop invites contributions in the form of short papers (3-4 pages), 15 min. presentations and especially DEMOS that describe ONGOING AND NEW WORK in using robots, sensors and other technologies in child learning.

List of Topics

Topics of interest include, but are not limited to:

  • Socially assistive robots
  • Personalized learning
  • Emotional Interaction and Learning
  • Machine learning
  • Task design for learning: theories and practice
  • Communication with robots using stories for learning
  • Multimodal communication and learning 
  • Navigation choices
  • Evaluation Methods
  • Engagement Assessment
  • User interfaces
  • Robot learning at home and at school
  • Robots with books and cards
  • Interactive learning with robots
  • Teaching English as a second language
  • Immersive game learning
  • Mobile interactive learning
  • Cognitive assessment
  • Encouraging child collaboration with robots
  • Problem solving
  • Physical vs. Computer gaming
  • Which robot to choose and why?
  • Behavior monitoring frameworks
  • Non-invasive sensing devices 
  • Sensor data stream fusion, feature extraction and pattern analysis
  • Event detection
  • Implicit vs. Explicit child-robot interaction

Goals and expected results:

This workshop aims to bring together an interdisciplinary group of researchers who are involved in research related to child learning technologies and methods that involve design, assessment, monitoring, evaluation and intervention.


Workshop papers will be included in a special section of the ACM Conference Proceedings. The organizers will also invite a selected set of accepted workshop papers to a special journal issues. The workshop will give two awards to the best presentation (demo included) and to the best technical result or approach.