On this page you will find a selection of Learning Object Examples created for a wide array of purposes. Some are intended to be stand-alone objects that can be “brought” to one-shot’s, and others can be embedded within active courses by instructors as additional aid.
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Interactive Searching and Source Evaluation Tutorials
https://osul.libwizard.com/f/Bsearching
With college students entering with differing levels of searching skills, this collection of tutorials created in Libwizard begins with a knowledge check, if a student can safely identify a search with keyword searching, they are transported to the advanced section of keyword searching tutorial. If they cannot? They get the whole tutorial that begins with very basic keyword searching. This method of branching logic will allow more advanced users to not tire quickly with them being tested on knowledge they already possess and moves them quickly onto hopefully new information. While this branching can be challenging to plan out, particularly when having to use it within the limitations of a tool such as libwizard, it’s not impossible. Only a browser is necessary for a student to view and utilize, and as can be shown below, it is capable of being embedded into a page, albeit is not best practice.
I have utilized the personalization principle to bring real-world scenarios into the tutorials to help show the importance of the lessons. Students will have separate tutorials for each big concept, with multiple pages, utilizing the segmentation principle, paired with opportunities to have a hands-on application, and then testing of their knowledge. Each quiz that requires an answer will have customized right and wrong responses, letting a student feel less alone in clicking through a tutorial. At the same time, there are places intentionally included that allow students to see responses from students that came before them, something that also helps battle that feeling of solitary asynchronous digital learning. These hands-on techniques paired with quizzing that supplies immediate feedback should help students recall no less than 4 techniques for searching, as well as demonstrated knowledge of “effective” searching. The tutorial should build on the following learning objective
Differentiate between an “ineffective” search and an “effective” search
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Students begin with an overview of what AI is, what components make it up, and then choose to learn first about Prompt Generation or Algorithmic Bias. They finally learn how the two can intersect before being prompted to write a brief reflection. With this assignment created in H5P it can be used both inside credit bearing courses and outside of, paired with various other opportunities to approach AI in it's many forms.
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This H5P assignment is a graded quiz is a true and false quiz about copyright. It is intended to introduce students in a safe space to fail about copyright, with follow up feedback to inform students deeper about the topic.
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Thsi quiz comes from a credit bearing course acting as a graded quiz. The focus is to give student safe place to practice searching skills before they become a requirement later in the course. After each question, students will receive feedback about the options available, giving them opportunity to learn asynchronously with instant feedback.