Polyphonic Construction of Smart Learning Ecosystems Proceedings of the 7th Conference on Smart Learning Ecosystems and Regional Development /
Polyphonic Construction of Smart Learning Ecosystems Proceedings of the 7th Conference on Smart Learning Ecosystems and Regional Development / [electronic resource] :
edited by Mihai Dascalu, Patrizia Marti, Francesca Pozzi.
- 1st ed. 2023.
- X, 228 p. 45 illus., 38 illus. in color. online resource.
- Smart Innovation, Systems and Technologies, 908 2190-3026 ; .
- Smart Innovation, Systems and Technologies, 908 .
Acceso multiusuario
Chapter 1. Context-Aware Classrooms as Places for an Automated Analysis of Instructional Events Philippe Dessus -- Chapter 2. Student smartphone experience narratives mediated by the phygital school library for learning ecosystems -- Chapter 3. Space and time in hybrid teaching and learning environments: two cases and design principles -- Chapter 4. The Italian School Ecosystems two years after the lockdown: an overview on the "digital shock" triggered by the pandemic in the perceptions of schools' principals and teachers -- Chapter 5. Automated Paragraph Detection using Cohesion Network Analysis -- Chapter 6. Assessing Readability Formulas in the Wild -- Chapter 7. pROnounce: Automatic Pronunciation Assessment for Romanian -- Chapter 8. Community pacts and we4SLE as tools to support the implementation of Smart Learning Ecosystems -- Chapter 9. Digital Games as Tools of Innovative Pedagogy in Education -- Chapter 10. Environment Challenges of E-learning in Higher Education - the Teachers' Perspective -- Chapter 11. Parents' voices: inclusion of students with Intellectual and Developmental Disabilities in higher education -- Chapter 12. Deidentification of Student Writing in Technologically Mediated Educational Settings -- Chapter 13. Conceptualising Micro-Credentials in the Higher Education Research Landscape. A Literature Review -- Chapter 14. Reaction of the university ecosystem to the pandemics in a mid-east country: the case of IRAQ - A compared analysis of students' and teachers' perceptions.
The book brings together the contributions of the 7th International Conference on Smart Learning Ecosystems and Regional Development (SLERD 2022), which aims at promoting reflection and discussion concerning R&D work, policies, case studies, and 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.
9789811952401
Computational intelligence.
Science--Social aspects.
Big data.
Artificial intelligence.
Computational Intelligence.
Science and Technology Studies.
Big Data.
Artificial Intelligence.
Q342
006.3
Acceso multiusuario
Chapter 1. Context-Aware Classrooms as Places for an Automated Analysis of Instructional Events Philippe Dessus -- Chapter 2. Student smartphone experience narratives mediated by the phygital school library for learning ecosystems -- Chapter 3. Space and time in hybrid teaching and learning environments: two cases and design principles -- Chapter 4. The Italian School Ecosystems two years after the lockdown: an overview on the "digital shock" triggered by the pandemic in the perceptions of schools' principals and teachers -- Chapter 5. Automated Paragraph Detection using Cohesion Network Analysis -- Chapter 6. Assessing Readability Formulas in the Wild -- Chapter 7. pROnounce: Automatic Pronunciation Assessment for Romanian -- Chapter 8. Community pacts and we4SLE as tools to support the implementation of Smart Learning Ecosystems -- Chapter 9. Digital Games as Tools of Innovative Pedagogy in Education -- Chapter 10. Environment Challenges of E-learning in Higher Education - the Teachers' Perspective -- Chapter 11. Parents' voices: inclusion of students with Intellectual and Developmental Disabilities in higher education -- Chapter 12. Deidentification of Student Writing in Technologically Mediated Educational Settings -- Chapter 13. Conceptualising Micro-Credentials in the Higher Education Research Landscape. A Literature Review -- Chapter 14. Reaction of the university ecosystem to the pandemics in a mid-east country: the case of IRAQ - A compared analysis of students' and teachers' perceptions.
The book brings together the contributions of the 7th International Conference on Smart Learning Ecosystems and Regional Development (SLERD 2022), which aims at promoting reflection and discussion concerning R&D work, policies, case studies, and 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.
9789811952401
Computational intelligence.
Science--Social aspects.
Big data.
Artificial intelligence.
Computational Intelligence.
Science and Technology Studies.
Big Data.
Artificial Intelligence.
Q342
006.3
