- Titel
- Forestry Education Reimagined
- Untertitel
- Reform and Best Practices for the Future
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-994310
- Schriftenreihe
- SILVA publications / SILVA Network
- Bandnummer
- 22
- Konferenz
- SILVA Network Annual Conference 2025. Zvolen, Slovakia, May 21-23, 2025
- Erstveröffentlichung
- 2025
- DOI
- https://doi.org/10.25368/2025.317
- Abstract (EN)
- Forestry education stands at a crossroads. The classical model – rooted in centuries-old tradi-tions – faces growing scrutiny amidst rapidly evolving societal, environmental, and economic demands. Today, technological advancements, especially in artificial intelligence (AI), add an-other layer of opportunity and challenge. Is classical forestry education reformable to meet these modern demands? Can we harness AI alongside proven best practices to ensure its rele-vance in a data-driven world? Forests play a critical role in addressing global challenges, including climate change, biodiver-sity conservation, sustainable development, and the bioeconomy. At the same time, the rise of AI and digital tools is reshaping educational paradigms and offering innovative ways to analyze, simulate, and manage natural resources. Forestry education must adapt – not only to equip future foresters with traditional skills but also to empower them with competencies in AI, data analytics, and machine learning. This integration is essential for navigating complex environ-mental challenges and restoring trust and relevance within society. This conference invites students, educators, and practitioners to explore and share perspec-tives on: Reforming Traditional Models: How can established forestry education frameworks be up-dated to incorporate AI and other technological innovations? Exemplary Practices: What are the best practices in curricula, teaching methods, and stake-holder collaboration that effectively blend traditional knowledge with AI-driven insights? Societal Alignment: How can forestry education align with contemporary societal expectations and policy demands using AI-powered analytics and predictive modelling? Interdisciplinary Competencies: What new skills—including AI, data science, and environmen-tal informatics—are essential for addressing modern forestry challenges? Reclaiming Social License: In what ways can education, bolstered by transparent, data-driven AI tools, help reclaim forestry’s social license to operate? By integrating AI into the conversation, this conference aims to chart a course for a future where forestry education not only preserves its rich heritage but also leverages cutting-edge technology to tackle global challenges more effectively.
- Andere Ausgabe
- Link zur Veröffentlichungen auf der Seite 'Silva Network'.
Link: https://www.ica-silva.eu/publications/proceedings - Freie Schlagwörter (EN)
- Higher forestry education, Artificial Intelligence, teachers and students experiences
- Klassifikation (DDC)
- 634
- Klassifikation (RVK)
- ZC 88264
- HerausgeberIn
- Sandra Liebal
- Prof. Dr. Norbert Weber
- Prof. Dr. Jaroslav Šálka
- Herausgeber (Institution)
- SILVA Network, Sopron
- Sonstige beteiligte Institution
- Technische Universität Dresden, Fakultät für Umweltwissenschaften
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-994310
- Veröffentlichungsdatum Qucosa
- 02.10.2025
- Dokumenttyp
- Konferenzband
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0- Inhaltsverzeichnis
1 Foreword 1 2 Ethical aspects of the use of AI in academia 4 3 Artificial Intelligence as a Tool for Strengthening Social License in Social Forestry: Towards Transparent and Participatory Forest Governance 5 4 Application of Artificial Intelligence in Education and Research at the Faculty of Forestry, University of Sopron 6 5 Vertical Harmonization of Forestry Education in Hungary 7 6 Green Business dual degree programme 8 7 Mediterranean Forestry and Natural Resources Management (MEDfOR) 9 8 The use of AI in Study and Science 10 9 Open Educational Resources (OER) and AI – the essence of quality 11 10 Proposals for European Higher Education Cooperation within the SILVA Network 12 11 The Use of Artificial Intelligence in Academic Education Experiences at the University of Göttingen, Germany 13 12 Discussion Results 14 13 Group photos 15 14 Change of presidency 16