Are you using your data and business intelligence to actively improve your online class delivery?

Our Chief Technology Officer, Ryan Lamb, shares some key advice on how you could get more from your data and use it to improve class scheduling, attendance and teacher performance.

According to the World Economic Forum, the world produces approximately 2.5 quintillion bytes of data each day *.

The rate at which global organisations generate data is only increasing, and with this comes significant opportunities for data-driven decision making to improve outcomes across all areas of a business.

Industry-leading business intelligence (BI) and cloud tools are readily available for transforming and aggregating data into management-ready business reports. Dashboards simplify data access and analysis for end-users, from class managers to CEOs.

At The Really Great Teacher Company, we capture data daily at a granular level across our business. Class performance metrics, attendance and technical issues  are fed into our business intelligence (BI) systems for company-wide reporting.

Within teacher management there are a number of important key performance indicators (KPIs) that can (and should) be used to inform decision-making. These include:

CLASS CANCELLATIONS PER HOURS TAUGHT:

Identifying trends and outliers in cancellations allows management to address any attendance concerns with teachers and proactively resolve issues before they lead to class absenteeism.

NUMBER AND TYPE OF TECHNICAL IT ISSUES PER HOUR TAUGHT: 

While IT issues are typically resolved when they occur, monitoring the prevalence and type of issue allows the technical support team to put an action plan in place and mitigate the risk of wider negative impact. For example, a video upload error may occur for teachers in a specific region. The technical support team can isolate the issue and resolve it before it impacts other teachers. Categorizing these issues can also inform the creation of technical support training videos and teacher FAQ material to improve teacher self-service IT problem solving.

HOURS TAUGHT VS HOURS SCHEDULED:

Any discrepancy between the scheduled number of classes and the total actually taught, should be examined and fed back into the scheduling demand forecasting process to improve forecasting accuracy.

AVERAGE HOURS TAUGHT PER TEACHER:

Teachers need to receive a fair allocation of scheduled classes so that their hours and pay are in line with expectations. Teacher turnover and job satisfaction needs to be managed and a decreasing trend in average hours taught per teacher may indicate that there are either too few classes available or too many teachers for a given number of classes.

TRACKING CLASSROOM PERFORMANCE relative to a standard benchmark:

This allows any teacher development areas to be identified early on. Training and performance improvement measures can be put in place. For example, average student rating per class.

TRAINING HOURS PER TEACHER:

Teachers need to feel like they are learning and growing as individuals. Training hours ensure that the company is keeping its teachers up-to-date with the latest teaching best-practices and knowledge.

TEACHER QUALITY INDEX:

As assessment of overall teacher performance and contributions to the company. High performing teachers can be rewarded and incentivised to share their knowledge with other teachers, for example through live class demonstrations.

At The Really Great Teacher Company we have combined the above measures together with wider KPIs and implemented a robust data-driven approach across all departments, ensuring that our clients’ students receive a superior experience both in the quality of teaching and the delivery of the classes.

If your business has any questions regarding Data and Business Intelligence for Online Teaching environments, please get in touch with our Tech Team at [email protected]

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