ICSL 2019 : The Third International Conference on Service-Learning

posted by organizer: icslpu || 2425 views || tracked by 1 users: [display]

ICSL 2019 : The Third International Conference on Service-Learning

Link: https://www.polyu.edu.hk/osl/icsl2019/

When	Jan 10, 2019 - Jan 12, 2019
Where	Hong Kong
Abstract Registration Due	Nov 30, 2018
Submission Deadline	Sep 16, 2018
Notification Due	Oct 16, 2018
Final Version Due	Oct 31, 2018

Categories service-learning CIVIC ENGAGEMENT social responsibility global citizen

Call For Papers

The 3rd International Conference on Service-Learning (ICSL) will be held in Hong Kong, on 10-12 January 2019 (Thursday to Saturday) at the Hong Kong Polytechnic University. The conference is an international refereed conference dedicated to promoting the scholarly development of the theories, models, and pedagogy of service-learning.

We invite scholars and students (both undergraduate and graduate students) who are interested in a scholarly and evidence-based approach to service-learning to submit papers to the ICSL2019.

Related Resources

ECML PKDD 2026 ECML PKDD 2026 : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

ICDM 2026 The 26th IEEE International Conference on Data Mining

IEEE ICMSS 2026 IEEE--2026 the 10th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS 2026)

VSIP 2026 2026 The 8th International Conference on Video, Signal and Image Processing (VSIP 2026)

SERVICE COMPUTATION 2026 The Eighteenth International Conference on Advanced Service Computing

AMLDS 2026 IEEE--2026 2nd International Conference on Advanced Machine Learning and Data Science

IELR 2026 Springer--2026 3rd International Conference on Innovative Education and Learning Resources (IELR 2026)

CLaRAMAS 2026 Causal Learning and Reasoning in Agents and Multiagent Systems

AIPR--EI 2026 2026 9th International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2026)

Learning & Optimization 2026 ASCE EMI Minisymposium on Probabilistic Learning, Stochastic Optimization, and Digital Twins