A Model of an Online Evaluation System for STEM Education

To achieve better learning results, students should be motivated for continuous learning. This is particularly important in areas such as STEM, where for the purpose of understanding the new content students have to master the topics that precede them. This paper describes a work in progress with the aim to develop an online evaluation system for STEM education based on the principles of Education Recommender Systems. The structure of the proposed system includes a domain model, student model, activity model, and a recommender. Domain model will represent concepts of subject matter. Student model will be built on data gathered during continuous evaluation together with students' learning styles and foreknowledge about digital tools. Activity model represents items that will be recommended: learning materials, tasks for learning using digital tools, and colleagues that can help in mastering particular subject content together with materials needed for knowledge assessment. The recommender will include original pedagogical rules for generating recommendations. The proposed model should encourage and motivate students for continuous learning and consequently lead to better learning results.