Către Un Model Bazat Pe Senzori În Analiza Învățării

Abstract

TOWARDS A MODEL FOR SENSOR BASED COMPONENT IN LEARNING ANALYTICS SYSTEM. In context of pandemic crisis, the emergency remote teaching (ERT) process raised a multitude of problems for institutions, teachers, and students, led the author to design a model for evaluating teaching and evaluation processes. In our previous studies, we developed a model for the evaluation system called the learning analytics and evaluation model (LAEM). We also validated a software instrument we designed called the EvalMathI system, which is to be used in the evaluation system and was developed and tested during the pandemic. For optimization of the evaluation process was accomplished by including and integrating the dashboard model in a responsive panel. In this paper, we analyse the possibilities to complete our learning analytics system with a sensor-supported component. Also, we identify which sensor technologies can be used in a more suited manner. Sensor technologies have been adapted for various domains, such as healthcare, and education. The proposed model component can be used to represent the capabilities of current learning analytic system and provide a basis for the future development.