Exam preparation

Students had no interface where they could practice and test their knowledge independently. The exam format included multiple-choice questions, which was difficult to simulate in advance. This made it very difficult for students to assess their level of knowledge. Manually creating multiple-choice questions is very time-consuming, especially when a large number of topics need to be covered and the questions must not overlap with the actual exam questions.

Motivation

Not all students in the class were motivated to participate. It was also almost impossible to reliably check who was engaged outside of class and how much was actually being learned at home. Mere class participation was only a weak indicator of this. And so, how can you motivate even reserved students to engage more actively with the course material?

Lack of analytics

Only during the exam itself did it become systematically clear which students had actually understood which content – which is actually far too late. As a result, learning gaps could not be systematically closed during exam preparation. It also remained unclear why even motivated students failed or fell short of their potential despite intensive preparation. This led to frustrated students who could not be specifically helped to overcome their learning plateau.

Different learning speeds & heterogeneity

In class, some students finished a task long before the others. It was difficult to provide additional challenges for this group without neglecting the other students. In general, it was difficult to individualize the lessons, i.e., to provide personal coaching to all students and to offer them additional practice material that exactly matched their level.

Exam preparation

Brian offers exactly the exam preparation that was needed.

"I just upload a PDF with course materials, check the questions, and off we go."

The AI transforms existing teaching materials into quizzes with embedded explanations. This allows students to independently prepare for exams with relevant, official course content and identify their learning gaps. The effort for teachers is very low, as the questions only need to be curated once.

Motivation

Thanks to its engaging interface and gamification features, Brian has encouraged students to study more and more independently. For example: In the 5th-grade biology course, 24 students answered more than 5,000 questions within one month. That's more than 200 questions per student. In addition, the teacher observed that some students suddenly turned learning into a playful competition with their friends.

"My students surprised me with how much they enjoy making a competition out of learning and competing with each other."

Lack of analytics

Brian's analytics features allow teachers to track students' learning progress in real time and intervene when help is needed. The analysis provides insight into which topics are difficult and should be revisited in the classroom. For individual students, it's possible to see at a glance what has been learned and where learning gaps exist. In the AI dialogues, this can even be broken down into individual evaluation rubrics, creating a highly differentiated picture.

"Brian's analytics help me identify where students need support."

Different learning speeds & heterogeneity

Brian's learning landscape makes it possible to provide additional challenges and exercises while taking into account differences in learning levels. This can be done during the initial course creation by offering advanced quizzes and AI dialogues as "Optional Components," or spontaneously during class. Simple AI dialogues can be created in just a few minutes. This also allows for spontaneous adjustments to the lesson plan.

"I also use Brian during class so that students who have already finished their work can continue learning."

Dominique Grüter, Kantonsschule Hohe Promenade