Browse Public Designs
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Architecture Design Patterns
Description:
Through this Learning Design students will activate learning of software architecture design patterns at the higher categories of learning in the Revised Bloom model. By this stage, students have learnt about these architecture design patterns, and have likely implemented software based on these patterns in previous university courses. The focus now is on being able to (a) abstract, compare and reflect on the patterns by describing their functional properties in a broader framework (b) argue in a plausible, logical and rationale way as to why certain patterns should, or should not, be employed.
This small-class activity ties in with your on-going project and provides you an opportunity for experience in applying theory from the class room to real-world cases. This learning design adopts the STREAM model.
Intended Learning Outcomes:
- Analyse and compare architecture design patterns
- Argue for or against the application of an architecture design pattern to a software development project
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Copied: Flipped classroom in PhD course Microsensors
Description:
2 week intensive PhD course with around 20 international PhD students interested in using microsensors in their research. The course contains theory and practical exercises.
Intended Learning Outcomes:
- Students should know the basic principles of oprical microsensors and planar sensors
- Students should be able to define the main concepts and components of a sensor
- Students will be able to use sensors in a practical setting
- Students should be able to reflect and abstract from shown methods and concepts to their own research and figure out how to implement sensor technology
- Students should be able to analyse the benefits and drawbacks of a particular sensors for a given problem
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Reading and interpreting phylogenetic trees
Description:
45min in class session plus out-of-class activities. Part of the MSc level Biogeography & Macroecology course. Intends to ensure that all participants are able to correctly read and interpret phylogenetic trees.
Intended Learning Outcomes:
- correctly identify different types of phylogenetic trees
- make correct statements about relatedness using relevant terminology
- make correct statements about estimated age using relevant terminology
- correctly interpret polytomies and support values
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Learning design - Teacher Training Programme E18
Description:
This sequence of tasks aims to help teachers designing their teaching and incorporate educational IT and technology in relation to their pedagogical values and design principles.
Intended Learning Outcomes:
- Reflect, discuss and identify your educational and pedagogical values as an educator in relation to teaching.
- The individual course participant will get an overview of his / her teaching and can probably get insight into their teaching position in relation to the combined course.
- Get an insight if and how technology is implemented in relation to the concept of blended learning and where they can incorporate more for the benefit of quality in teaching and student learning.
- They will have the opportunity to reflect and discuss the alignment of their teaching as they are asked to relate to the learning goals and assessment.
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Online Personalised Learning
Description:
A very short (1-week) course on online personalised learning aimed at tertiary-level students of education. The design of the course models the principles being taught.
In the second half of the course students choose from a variety of tasks and the means of completing the task (e.g. by means of collaboration with other students or individual work). Total 3 hours of student work required for completion.
The course is delivered through a course page on the institution's content management system (Moodle was used by the author).Intended Learning Outcomes:
- Define online personalised learning
- Understand the key principles of online personalised learning
- Apply one or more of the principles of online personalised learning to a topic of professional or analytical relevance
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