Provide sample data from student results for a course within your field. The data can be entirely theoretical and written out in text form.
Upon completion of the data, discuss the method used to group students based on abilities, strategies utilized to examine student performance, and areas requiring modification of instruction.
This screenshot was pulled from one of my practice exams. For each unit I provide a practice exam that students can take with limitless attempts as well as instant feedback on the grade. It is routinely the top scoring students in the course who capitalize on the opportunity to prepare for an exam. This shows a question breakdown with selected answer choices. I can easily see based on percentage correct which concepts have been mastered by majority of students and which concepts (like in question 3 above) may need clarification before the formal assessment. This provides a great view into potential topics to discuss at the weekly adobe sessions when I have a chance to verbally address the concepts in more detail or post a news announcement with a video or link to illustrate the concept.
Next, focus on the individual level. How could the data be referenced to identify the needs of each student? How could the settings of the LMS be used to create personalized learning paths? Note that a personalized learning path does not necessarily mean one student sees a resource no one else does, but that the overall order and selection of work one student does may be entirely unique from the order and assignments others did.
Practice assessments can become mandatory to complete with a mastery score in order to access the formal unit assessment. This mastery score could be set around a 70 and students could have limitless attempts to achieve it in order to access their formal exam. In addition, this does not have to be a requirement for all; this could serve as a remediation opportunity for those with 70 or below in the course.
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