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Contested development is an educational game about urban planning and the environment.
It is designed for use with college students and the public.
Play through stages of the planning process, encounter the real life challenges and solutions faced by teams and try to be first to market!
This resource is for basic introduction team play.
The beginners team game can be used with any group seeking fundamental knowledge of sustainable development and the planning process. The learning outcomes include knowledge of;
The Roles in the planning and development process
The Stages of Planning
Introduction to Planning Policy
Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)
This work is licensed under a CC BY-NC-ND license, permitting redistribution for non-commercial use with proper attribution but prohibiting modifications.
https://creativecommons.org/licenses/by-nc-nd/4.0/If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
This OER presents an updated Assessment Redesign Framework for higher education in the age of GenAI. It supports educators and programme teams in designing valid, transparent, and scalable assessments, integrating AI literacy, process-focused approaches, and guidance on AI detection, large cohorts, and emerging agentic AI challenges.
This Pressbook features an interactive tool that helps you plan and structure your essay step by step. The book provides a clear starting point to reduce stress, prevent overwhelm, and support different learning preferences through examples, , quick guides, and PowerPoint videos with voiceover. This resource is a living document.
Purpose of the MTU Student Guidelines
Supports Academic Integrity Principles and MTU’s Academic Integrity Policy by:
1. Explaining what academic integrity is.
2. Helping students avoid bad decisions during assessments.
3. Outlines and signposts supports available across MTU
A video that explains how social media recommender algorithms work. It will help learners be more aware of how their social media content is delivered. The content is relevant to third level students, adult education and older secondary school students.
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