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Adding a Science Communication assignment to docs/tutorials
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docs/tutorials/index.md

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my_tutorial.ipynb
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ADCP_data_tutorial.ipynb
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sciencecommunication_assignment.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Science Communication Assignment\n",
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"\n",
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"_As used during the Dynamical Oceanography 2023/24 course at Utrecht University_"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Assignment description\n",
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"\n",
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"- You will write a popular scientific article about the virtual expedition. \n",
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" - This is an individual assignment.\n",
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" - The length of the article should be between 400 and 700 words. \n",
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" - The audience of your science communication article are Physics BSc students.\n",
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" - You need to include and refer to the findings/results of at least two scientific articles as background.\n",
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"\n",
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" - For examples of the style you could use, check out [this article](https://physicsworld.com/a/20000-pings-under-the-sea/) (although at almost 3,000 words that article is way longer than expected here), or [this article](https://blogs.scientificamerican.com/expeditions/to-hades-and-back-exploring-the-deepest-part-of-the-ocean/).\n",
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" - You are allowed to use Generative AI to create photos of the expedition (but only for photos; no other uses of Generative AI are allowed!) \n",
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"- Submit a first draft of the article to Blackboard by 27 March 17:00. \n",
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"- Every student will provide formative feedback for two other articles. Deadline is 2 April 17:00. This formative feedback will be graded and will count 25% of the mark for this assignment. \n",
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"- You will incorporate the formative feedback where appropriate into a final version of the article and submit that as a pdf on Blackboard by 5 April.\n",
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"- The articles will be graded by the lecturer and the Teaching Assistants\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Marking Rubric for the article\n",
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"\n",
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"|Rubric|What is extra?|Sufficient|What is missing?|\n",
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"| --- | --- | --- | --- |\n",
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"|Introduction to the region | | The physical oceanography of the region is clearly explained. | |\n",
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"|Research motivation | | The motivation to do an expedition in this region is clearly articulated. | |\t\n",
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"|Explanation of scientific papers | | The results of two scientific papers are described and incorporated in the text.| |\n",
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"|Factual correctness | | The scientific claims and information presented are accurate and supported by evidence. | |\n",
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"|Effect | | The goal/aim of the text is clear. The article contributes meaningfully to the reader's understanding of the topic. | |\n",
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"|Use of visuals | | At least one visual (image, graph, or diagram) is present. It is used effectively to enhance understanding and engagement. | |\n",
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"|Emotion/ personalization | | The text has a clear main character and includes reference to (personal) emotions. | |\n",
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"|Narrative structure | | The narrative structure is such that readers are enticed to read to the end of the text. | |\n",
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"|Suitability for the audience | | The text is understandable for the audience, while also not being too simplistic. | |\t\n",
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"|Writing style | | The text is within the word limits, and has few spelling and grammatical errors. | |\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Marking Rubric for the peer feedback\n",
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"\n",
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"| Rubric | What is extra? | Sufficient | What is missing? |\n",
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"| --- | --- | --- | --- |\n",
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"| Constructive criticism | \t| The peer feedback includes some critical reflections, and these are constructively phrased| |\n",
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"|Focused on the content\t| |\tThe peer feedback focuses on the writing, not the writer | |\n",
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"Specific | |The peer feedback points to specific places where the draft can be improved\t | |\n",
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"Prioritized comments | | The peer feedback is an ordered list with the most important comments at the top | |\n",
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"Considerate and thoughtful | | The peer feedback is kind and does not jeopardize social safety (i.e. not ‘ad hominin’) | |\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": []
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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