Make an appointment with an academic coach to practice using concept maps, make a study plan, or discuss any academic issue.Īttend a workshop on study strategies to learn about more options, get some practice, and talk with a coach. Check out these resources and experiment with a few other strategies to pair with concept mapping. You can type your outline or create a handwritten, color-coded one as seen in Example 5.Ī concept map is one tool that you can use to study effectively, but there are many other effective study strategies. Creating an outline to start your studying will allow you to assess your knowledge base and figure out what gaps you need to fill in. Outlining by starting with high-level course concepts and then drilling down to fill in details is a great way to determine what you know (and what you don’t know) when you’re studying. Notice the similarities are in the intersection of the 2 circles.Įxample 2: This example illustrates the relationship between ideas that are part of a process, such as a Food Chain.Įxample 3: This example illustrates the relationship between a main idea, such as climate change, and supporting details.Įxample 4: Outlining is a less visual form of concept mapping, but it might be the one you’re most familiar with. Re-create your concept map without looking at the original, talking through each section as you do.Įxample 1: This example illustrates the similarities and differences between two ideas, such as Series and Parallel Circuits.List related examples, where applicable, for sections of the map.Elaborate (out loud or in writing) each part of the map.Your completed concept map is a great study tool. Focus on how concepts are related to each other.Go through lecture notes, readings and any other resources you have to fill in any gaps.Starting from memory is an excellent way to assess what you already understand and what you need to review. From memory, try creating a graphic organizer related to this concept.For a few ideas on how to get started, take out a sheet of paper and try following the steps below: The one key step is to focus on the ways ideas are linked to each other. There is no right or wrong way to make a concept map. They can also be used to analyze information and compare and contrast. In other words, knowing the big picture makes details more significant and easier to remember.Ĭoncept maps work very well for classes or content that have visual elements or in times when it is important to see and understand relationships between different things. They are a powerful study strategy because they help you see the big picture: by starting with higher-level concepts, concept maps help you chunk information based on meaningful connections. Concept maps are especially useful for students who learn better visually, although they can benefit any type of learner. They can take the form of charts, graphic organizers, tables, flowcharts, Venn Diagrams, timelines, or T-charts. Once you have a web map open in Map Viewer, click on Create app and select Instant Apps from the dark pane.Concept maps are visual representations of information. You can use your own web map to follow along, just ensure that the web map is saved in Map Viewer and has at least one chart in it. We will be using this web map that was created in the previous blog using Map Viewer. We will need to sign-in into our ArcGIS Online account to access Create App options. Let’s get started right-away with a web map- Step 1 – Import your web map to Instant apps Chart Viewer supports all chart types offered in Map Viewer (bar, line, pie, histogram and scatter plot), hence our web map can contain any or all chart types. In this tutorial, we will use Chart Viewer from Instant Apps to publish this web app using a web map containing charts created in Map Viewer. Why? Because using its template, we can display multiple charts to complement a map. The web app that we will be focusing on in this blog is Chart Viewer in ArcGIS Instant Apps. This blog is a continuation of my previous blog where I demonstrated Map Viewer Charts for data exploration.
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