When you think about all of the ways you could (and probably already do) "use" information and information resources, how varied are they?
The wide variety of "uses" can be complicated by the ways in which we understand what an "information resource" or "text" could be.
*NOT a conclusive list!
*NOT a conclusive list!
Reflecting on our intentional and sometimes subconscious/metacognitive purpose when we use information resources can help ensure that we do so ethically and in alignment with our stated purpose for researching.
Research isn't a process where you will directly find the answers, rather research is more akin to exploration. During the research process you will have to try different search strings, alternative databases, or check out multiple texts through the library to reach the answers to your research question. And, along the way, your original question may shift, reflecting your encounters with new to you knowledge.
Exploration implies that you have new discoveries to make. While you may have a map made up of a research plan and guiding question, the map is not the full landscape. There is so much more information to find along your research journey. Exploration encourages wandering down paths you didn't expect, seeing what is underneath that cool looking rock, and keeping a loose grip on the expectation that your intended outcome will go to plan. In research this means that you are empowered to look into that new database you just learned about in class. Research leans into the prospects of mining bibliographies for clues to other sources related to your topic. The most exciting part is that you cannot fully predict what you will find. The dynamic nature of exploring through research may result in you finding yourself off in a completely different direction than where you expected.
There are two types main types of approaches you could take to learning: strategic and deep learning.
Strategic learning is when we are using information to check a box. It often skims the surface of a topic and doesn't include reflection and critical attention to the credibility of a source. The main goal is efficiency. While this type of learning approach can be helpful for a quick bit of trivia, it is insufficient for academic work.
Deep learning on the other hand involves careful engagement with a topic. It requires flexibility, determination, and curiosity in the research process. Deep learning is much more active than strategic learning. It takes time and patience; however, the results are going to be much more valuable and rewarding. A deep dive into a topic challenges you to sift through more content and incorporate complexity into your own analysis. Critical thinking skills result from practicing a deep learning approach.