Conventional teaching methods rely on the teacher’s ability to present a concept articulately, but they do not factor in students’ varying levels of comprehension. Hence, a plethora of solutions have been developed to render personalized learning as per students’ cognitive ability. However, most of them cater to individual learners’ needs and do not play any role in enhancing the pedagogical system of educational institutions. Transforming the educational system in schools demands a data-driven approach that can pave the way for adaptive learning wherein the insights thrown up by data analysis open the avenue for timely intervention and rectification of pedagogy. Moreover, with the procedural shift towards distance education, the solution must be equally capable of providing the same experience in distance learning.
EdAider is an AI-based learning platform that fits the bill in an overarching manner. Designed based on research on learning analytics, the solution analyzes classroom teaching and learning to churn out insights pertaining to learners’ needs, teaching methodology, and the effect of teaching. In contrast to other solutions in the market that have been developed mostly to replicate analytics capabilities proven in a particular sector to the education sector, EdAider has been developed by a team of researchers and teachers, which makes it all the more pertinent for schools. In addition to its analytical capability, the platform is also adept at automating teachers’ administrative tasks so that they can focus entirely on their core job. “The platform is based on what takes place in the actual classroom. Today, many digital platforms are designed for administrative work, but we adopt a pedagogical approach, wherein we enable functions that support the teachers and the students within the classroom. It can be used both for classroom teaching as well as distance teaching, and is hybrid in that sense,” says Jalal Nouri, CEO of the company.
EdAider, when implemented, starts by collecting data through extensive research based on multiple data variables related to the teaching and learning happening in class.
Today, many classrooms work from an administrative perspective, but we adopt a pedagogical approach, wherein we enable functions that support the teachers and the students within the classroom
The AI platform studies learners’ performance, the level of their engagement, their wellbeing, and the section or topic they feel difficult to comprehend. Once the relevant data is collected, the platform analyzes the data to suggest the maneuver required for adaptive teaching and learning. The analytical system targets three levels: Class, School, and Municipality. The first analytics module focuses on class teaching and supports the teachers and learners to do data-driven adaptations of teaching and learning in the classroom.
The second analytics module supports school organizations to understand what happens across classes, which class is performing, and why central intervention is working and which central policies are not working. Finally, the municipality analytics system comes into play by helping the administrators of educational departments study what happens across schools, which schools are performing, the trends in the municipality, and where the focus should be. Apart from providing a clear picture of the whole educational ecosystem, the platform can yield real-time analytics for the teacher that can be used to effectuate real-time adaptations in teaching.
Summing it up by underscoring the impact which can be made with EdAider, Nouri says, “In Sweden, teachers only spend 34 percent of their working time on actual teaching, and we actually lose around 43 percent of the next generation that drops out and does not get access to higher education. With EdAider, teachers can free up time and through analytics teachers, students, schools and municipalities are much better equipped to see and meet all learners needs.”