Antoine Roex, Stalks
Explore how data analytics is transforming the assessment and monitoring of student performance. This article details the innovative methods used to analyse academic data, enabling educators to personalise teaching, identify learning gaps, and implement targeted interventions. Discover how analytics can lead to a better understanding of student performance and improved educational outcomes.
Ongoing monitoring and assessment
The data collected through digital platforms enables continuous monitoring and evaluation of student performance. These platforms incorporate regular formative assessments, such as quizzes or performance tasks, which provide real-time data on student progress. This information enables teachers to monitor individual progress and adjust teaching methods accordingly to better meet students’ needs.
Optimising teaching
Data analysis helps schools assess the effectiveness of their current curriculum and identify areas for improvement. By examining student performance data, institutions can make informed decisions to improve course content, update learning objectives and optimise teaching methods. This allows educators to discover which teaching methods produce the best results and explore new techniques to improve student engagement and success.
Early intervention for students at risk
Data analysis systems enable early detection of students who may be at risk of academic failure. Using artificial intelligence techniques and machine learning algorithms, schools can identify students who require additional intervention and design preventative measures to help these students before they encounter major difficulties.
Continuous improvement through data analysis
Integrating data into the assessment of student performance offers the opportunity to continually improve educational practices. Analytical tools provide detailed feedback that helps educators understand students’ academic progress, develop personalised interventions, and improve teacher productivity and efficiency by reducing the time spent on data management.
The use of analytical data to monitor student performance is transforming traditional methods of assessment and intervention. By providing accurate, real-time data, these tools enable a more dynamic and personalised approach to education, leading to significant improvements in student outcomes and more effective management of educational resources.
References :
- Evaluating and Optimizing Student Performance with Data – Schoolytics
- Maximizing Student Success: How to Utilize Data Analytics in Higher Education – Classter
- An artificial intelligence approach to monitor student performance and devise preventive measures – Smart Learning Environments
- Student Performance Monitor: A Big Data Analytical Application – SpringerLink
