In order to find patterns and hidden meaning in their data, teachers might analyze both qualitative and quantitative data. Both can be applied to validate or cross-check an investigation's findings. When determining when and how often students access a learning management system, a teacher can use quantitative data, like the number of logins, and then use qualitative data, like surveys or interviews, to find out why students aren't utilizing the system as frequently as they would like. I've discovered that when providing data, both types of information may be utilized to give a more complete picture, which is helpful for instructors. Over the course of a semester, quantitative data can show an upward trend in student engagement, and qualitative data can provide an explanation for why this trend might have happened. give me answer like a agree