Real-time performance learning data in education can help teachers identify trends and make adjustments to their teaching. For instance, teachers can make inferences about which students need more support and adjust their teaching accordingly. They can easily pivot to differentiated small groups or one-to-one instruction based on the data they receive. The data can also help teachers collaborate with other teachers and departments to identify incoming students’ needs and abilities.
The first step in the development of such data is determining how they are collected. Some indicators of student performance can be easily derived from the results of a student survey, such as the graduation rate. Other indicators of performance can be based on a university’s admissions and selection policies. In the case of education, the data should be available to prospective students, as they are potential customers. This is important because it provides an incentive for universities to improve their performance and remain competitive.
Another step involves collecting real-time performance data from students and teachers. This data is collected using technology. This data can help teachers differentiate instruction and monitor student learning in real-time. Using this data helps teachers assess the performance of their students and ensure they are teaching to the appropriate level. The data can be used to provide targeted interventions. If teachers are interested in analyzing student performance in the classroom, they can use tools like Google Forms or Microsoft Excel to create an analysis of class performance.
Data can help teachers identify what is preventing students from achieving their academic goals. By understanding what the problem is, teachers can devise effective solutions for it. For example, analyzing student test scores or grades can help teachers identify students who need extra help in a particular area. They can also determine which students are the best discussion leaders in a class.
This data can also help teachers to regulate the pace of their lectures. Real-time heat maps can be created to determine which parts of the lesson students are struggling with. A teacher can even make changes in the way they teach by adjusting the pace of her lectures based on the real-time performance learning data.
While real-time performance data is increasingly becoming the norm, it is important to understand its limitations. Big data is much bigger than small data and has many inherent limitations. Ultimately, big data cannot replace the judgment, and it is difficult to avoid political and technological challenges. It is important to understand what big data is, as they are not all created equal.
With real-time learning data, teachers can provide better feedback to students and tailor their teaching accordingly. This feedback is particularly helpful for virtual environments. It is also helpful for on-site teachers and students.
Check our academic programs here.
