Browse Public Designs
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Effective integration of available resources in a introductory course to data science
Description:
The course "Introduction to Data Science" is a first year bachelor course which is mandatory for the bachelor students in the Data Science Bachelor at AU. The learning objectives are to provide a broad overview of data science and expose students to basic tools and methods to manage the workflow of a data science project, to learn how to transform, visualize and summarize data, and to communicate about the trends they observed in the data.
This learning design project aims at finding a way to re-use material that is already available online and effectively merge it into the course. Many different types of resources are available for such course, but the material needs to be aligned with the learning outcomes. Furthermore students need to be provided ways to find their own material and use it for their path to the learning outcomes.
Intended Learning Outcomes:
- Use tools in R to import datasets, calculate summary statistics and describe what these tell us about the data.
- Use R to produce graphical representations of data.
- Use R-markdown for documenting the data analysis and to produce a report.
- Prepare a systematic presentation of a data analysis.
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Circulatory System - Lesson 2 of 3: Heart Dissection
Description:
Lesson 2 of 3 on Circulatory System: Heart Dissection and Functions
Learning Intentions:
- Explore the internal and external anatomy of the heart.
- Understand how the heart’s structure relates to its function in the circulatory system.Success Criteria
- safely and accurately dissect a heart.
- Identify key structures of the heart (chambers, valves, vessels) during the dissection.
- Explain how these structures function to pump blood throughout the body.Intended Learning Outcomes:
- Explore the internal and external anatomy of the heart.
- Understand how the heart’s structure relates to its function in the circulatory system.
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Copied: Use of AI chatbots in learning programming
Description:
Intended Learning Outcomes:
- Develop foundational programming skills without reliance on AI chatbots.
- Learn to effectively use AI chatbots as a supplementary tool rather than a crutch.
- Reflect on the impact of AI chatbot use on learning and problem-solving skills.
- Gain the ability to diagnose and troubleshoot programming issues independently.
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New learning design
Description:
Pedagogical development project: Cardiac arrest simulation scenario
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ChatGPT for feedback and collaboration
Description:
The students were asked to write popular science texts about the historical background for Great Prayer Day for different media platforms and target groups. They were asked to use chatbots to get suggestions for the content and structure of the text.
Intended Learning Outcomes:
- Translate history knowledge for popular media
- Translate history knowledge for various target groups
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