AIM@iSTAR, the intelligent Student-Teacher Analytics Resource system, is equipped with business intelligence and artificial intelligence technology to improve teaching and facilitate learning through the analysis of students’ results and identification of influencing factors affecting the results.
Raw student results have much more to offer than just the assignment of grades. Using our Interactive Segment Chart, educators are able to have a quick visual overview of their students’ performances and benchmark them against their peers within the same class as well as between different classes.
Entering data into any system may seem to be a tedious task. However, our solution offers several easy methods in doing so:
Scanning students' answer sheets using any ordinary paper and scanner. Multiple Choice Questions (MCQ) are auto-marked while hand-written scores for Open Ended Questions (OEQ) are recorded in our system using Intelligent Character Recognition Technology.
Mobile Application to input scores, which provides convenience of entering scores during oral examinations, presentations etc.
Excel import using our automatically generated Excel templates for each assessment.
Web Application to enter scores directly using a computer.
All functionalities in the system such as dashboards, discovery of influencing factors, and all other reports will be available without any manual processing once data have been succcessfully uploaded.
AIM@iSTAR provides general school data management functionalities and an artificial intelligence-based analytics engine in a user-friendly layout, allowing teachers and other users to focus on the job at hand, rather than the technologies behind it. This will help schools in their teaching pedagogy and contents to the targeted group of students in order to address their weaknesses, improving student learning techniques.
AIM@iSTAR helps educators isolate specific issues affecting performances of each student, thereby allowing effective and expedient intervention. It can even provide the school with insights on its teaching effectiveness. This system will also be able to improve teaching productivity while enhancing student learning.