This is the dissertation module for the MA Education and Technology. This comprises a 20,000 word piece of independent research or a 10,000 words dissertation...

Dissertation on Education and Technology (CCME0043)

This is the dissertation module for the MA Education and Technology. This comprises a 20,000 word piece of independent research or a 10,000 words dissertation plus a functional interactive educational technology prototype. This module can also be facilitated for Distance Learners.

ENGLISH TEACHING|LITERACY|CULTURE|SOCIAL PRACTICE|IDENTITY AND DIVERSITY

The module takes a theoretical and critical approach to five key issues in contemporary English education: multimodality and new literacies; the literary canon...

Contemporary Issues in English Education (CCME0033)

The module takes a theoretical and critical approach to five key issues in contemporary English education: multimodality and new literacies; the literary canon and the teaching of literature; issues of gender, identity and diversity; the teaching of writing (including the teaching or not of ‘grammar’); culture outside the classroom (culture, texts, social practices); creativity; and notions of communicative repertoire and how they relate to English teaching in the classroom. Over the course of the module, tutors will begin the process of introducing participants to the university library and its role in supporting study at Master’s level.  
 

Assessment: One Summative assessment (5,000 word essay).

Data Collection and Processing|Geographic Information Science|Geographical Information Systems|Geospatial Science|Information and Data Science

This module will enable students to operationalise remotely sensed Earth observation data for informing decisions on environmental hazards arising from a...

Remotely Sensing Cities and Environments (CASA0023)

This module will enable students to operationalise remotely sensed Earth observation data for informing decisions on environmental hazards arising from a changing climate, specifically in relation to (a) urban areas and (b) future urban sustainability. Firstly, the module presents an overview of the core concepts, methods and practices used to pre-process imagery underlying the discipline. Building upon this, the content focuses on advanced methodologies to extract meaning from Earth observation data and combinations of spatial data. It will examine and provide specific applied examples of achievable local, national and international policy modifications to incorporate spatial data and analytical requirements allowing data-driven optimisation of resources, maximising investment, environmental and sustainability outcomes. The module has a large practical component that is primarily taught in the R data science programming language but will briefly cover some specialist tools such as opensource geographic information systems software and cloud computing. Students will gain an operational knowledge of Earth observation data that can be drawn upon in future research or employment. The practical book for the module is available online for more detail on weekly content, however this can change annually: https://andrewmaclachlan.github.io/CASA0023/