Colorado State University offers a useful guide to reading on the web. While it is aimed at college students, much of the information is pertinent to readers of all ages and could easily be part of lessons in the classroom. The following list includes some of the CSU strategies to strengthen reading comprehension, along with my thoughts on how to incorporate them into classroom instruction:
Synthesize online reading into meaningful chunks of information. In my classroom, we spend a lot of time talking about how to summarize a text by finding pertinent points and casting them in one’s own words. The same strategy can also work when synthesizing information from a web page.
Use a reader’s ability to effectively scan a page, as opposed to reading every word. We often give short shrift to the ability to scan, but it is a valuable skill on may levels. Using one’s eye to sift through key words and phrases allows a reader to focus on what is important.
Avoid distractions as much as necessary. Readbility is one tool that can make this possible. Advertising-blocking tools are another effective way to reduce unnecessary, and unwanted, content from a web page. At our school, we use Ad-Block Plus as a Firefox add-on to block ads.
Understand the value of a hyperlink before you click the link. This means reading the destination of the link itself. It is easier if the creator of the page puts the hyperlink into context, but if that is not the case, then the reader has to make a judgment about the value, safety, and validity of the link. One important issue to bring into this discussion is the importance of analyzing top-level domains. A URL that ends in .gov, for example, was created by a government entity in the U.S. Ask students what it means for a URL to end in .edu. What about .org? .com? Is a .edu or .org domain necessarily trustworthy?
Navigate a path from one page in a way that is clear and logical. This is easier said than done, since few of us create physical paths of our navigation. However, a lesson in the classroom might do just that: draw a map of the path a reader goes on an assignment that uses the web. That visualization of the tangled path might be a valuable insight for young readers.
Matt Clausen on 19 Mar 09In these visualizations, a given text-the "specimen"-is compared to some larger group of texts-the "normative" text-using the Dunning log likelihood statistical analysis, which gives weight to words in a text according to how their frequency of use in the specimen text differs from the norm. All visualizations feature a cloud that varies from gray to blue. In this cloud, the size of the word corresponds to the number of times the word was used in a given address. The word's color depends on how statistically unlikely the word is in the normative text; in other words, a blue word was used more in the given speech than in the others it is compared to.
