Leading Educational Innovation in a Changing World (Symposium)

Activity: Talk or presentationConference PresentationsResearch

Event

International Congress for School Effectiveness and Improvement - ICSEI 2025: “Redefining Education: Purpose and Possibility”

10.02.2514.04.25

Sydney, New South Wales, Australia

Event: Conference

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Publications

  1. PI Control Applied to a Small-Scale Thermal System with Heating and Cooling Sources
  2. Representative time use data and new harmonised calibration of the American Heritage Time Use Data (AHTUD) 1965-1999
  3. Going beyond certificates
  4. Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning
  5. Dealing with availability and response expectations: Are older employees at an advantage and why?
  6. CD Reloaded
  7. Peter's positions: a diffractive analysis of authority in a year one classroom
  8. Introduction
  9. Creativity in the ‘spaces of hope’
  10. The Augmented Theorist - Toward Automated Knowledge Extraction from Conceptual Models
  11. The role of plant biodiversity in modifying the structure and functioning of higher tropic Levels in species-rich forests
  12. On the Relation of Boredom and Sadistic Aggression
  13. CAN BUSINESS MODEL COMPONENTS EXPLAIN DIGITAL START-UP SUCCESS?
  14. Vom Sagbaren zum Machbaren?
  15. Learning to collaborate while collaborating
  16. Analog, Digital, and the Cybernetic Illusion
  17. Can not wanting to know be responsible?
  18. Relational Transdisciplinarity: Five Reflexive Steps for Embodying Relational Ontologies in Transdisciplinary Learning Contexts
  19. DESI
  20. Tree diversity promotes functional dissimilarity and maintains functional richness despite species loss in predator assemblages
  21. Interfaces Ludiques
  22. John Locke
  23. Local lens for SDG implementation: lessons from bottom-up approaches in Africa
  24. Comparative study on corrosion behavior of we33 in immersion and polarization influenced by heat treatment
  25. A Systematic Literature Review Of Machine Learning Approaches For The Prediction Of Delivery Dates