A-STEM is a mobile-based system that aims to provide educators with an efficient artificial intelligence-based assessment system
AI-Scorer
What is it about?
A-STEM is a mobile-based system that aims to provide educators with an efficient artificial intelligence-based assessment system. As a result, educators can quickly assess learners' creativity without any hassle and spend a lot of time on assessment procedures. The primary focus of this system is to provide an automatic assessment of learners’ creative items by using machine learning models, which experts and researchers would design. Along with this assessment mechanism, the system can also maintain educators' learner relationships, learning-to-grade, and assessment scores and provide persistent storage of all the submitted items by learners for future reference. Teachers could use the system to manage the class, provide timely feedback, and track students’ progress.
App Screenshots
App Store Description
A-STEM is a mobile-based system that aims to provide educators with an efficient artificial intelligence-based assessment system. As a result, educators can quickly assess learners' creativity without any hassle and spend a lot of time on assessment procedures. The primary focus of this system is to provide an automatic assessment of learners’ creative items by using machine learning models, which experts and researchers would design. Along with this assessment mechanism, the system can also maintain educators' learner relationships, learning-to-grade, and assessment scores and provide persistent storage of all the submitted items by learners for future reference. Teachers could use the system to manage the class, provide timely feedback, and track students’ progress.
The system is based upon the cloud service, which is responsible for maintaining relational information for models to items, educators to learners, and grades to learners. The system uses mobile applications as an interface. Through the system web portal, researchers will be able to upload assessment items and algorithmic machine models that can automatically score students’ responses. Teachers can create virtual classes and register students in the courses. They can organize the assessments according to the learning content and assign items to students. They could view students’ performance scores immediately once students submit their responses. Learners also have access to the system through mobile applications, and they can upload their responses to the methods for specific assessment items and retrieve scores immediately.
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