Smart Alternation Schemes and Design Practices during Pandemics -- Supporting Urban Innovators' Reflective Practice -- Fighting the Gender Gap in ICT: Guidelines for Game Design -- Towards the Set of Principles for Enhancing Open Cultural Data Reusability in Educational Context -- Discoverability of OER: The Case of Language OER -- Dialogism Meets Language Models for Evaluating Involvement in CSCL Conversations -- Romanian Syllabification using Deep Neural Networks -- A Snapshot of University Students' Perceptions about Online Learning during the COVID-19 Pandemic -- College Students' Blended Online Examination Acceptance during the COVID-19 Epidemic -- Robots as my Future Colleagues: Changing Attitudes towards Collaborative Robots by Means of Experience-based Workshops.

This book brings together the contributions of the 6th International Conference on Smart Learning Ecosystems and Regional Development, which aims at promoting reflection and discussion concerning R&D work, policies, case studies, entrepreneur experiences with a special focus on understanding the relevance of smart learning ecosystems (e.g., schools, campus, working places, informal learning contexts, etc.) for regional development and social innovation and how the effectiveness of the relation of citizens and smart ecosystems can be boosted. This forum has a special interest in understanding how technology-mediated instruments can foster the citizen's engagement with learning ecosystems and territories, namely by understanding innovative human-centric design and development models/techniques, education/training practices, informal social learning, innovative citizen-driven policies, technology-mediated experiences and their impact. This set of concerns will contribute to foster the social innovation sectors and ICT and economic development and deployment strategies alongside new policies for smarter proactive citizens. Chapter "Robots as My Future Colleagues: Changing Attitudes Toward Collaborative Robots by Means of Experience-Based Workshops" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.