BI introduces AI tools to strengthen teaching and student learning

Used correctly, AI can be a valuable tool for learning. It helps students break down complex topics, structure their work, and dive deeper into course material. However, its actual value depends entirely on how it is used.

Ørjan Flygt Landfald, Senior Advisor at BI’s Learning Centre, has played a key role in implementing the tools. He emphasizes that the initiative focuses on what students actually gain from using AI.

"If used without reflection, AI can weaken the learning process instead of improving it. Students who learn to use these tools in a thoughtful and critical way will have an advantage both in their studies and later in their careers," Landfald explains.

At the same time, AI challenges traditional higher education. Universities must protect academic standards while preparing students for a working life where AI is common. This means rethinking exams and assignments, often combining traditional tests with tasks where AI is part of the work.

From launch to everyday use

A key lesson from the rollout is that giving access is just the first step.

“It started with communication to students, including launch events, information stands and campaigns across campus. This has been followed up with practical support, extra courses and clear examples of how AI can be used in studies,” Landfald says and continues:

“A key lesson from the rollout is that giving access alone is not enough. Implementation has been treated as an ongoing process rather than a single launch. The goal is not just awareness, but real understanding of how to use AI in a meaningful way.”

AI in the classroom

Lecturers play an important role in how AI is used. BI has worked to build confidence and skills among faculty so they can include AI in their teaching where it makes sense.

In some courses, students use AI to train their critical thinking. They summarize a text themselves first, then compare it with an AI-generated version to see what changes when parts of the thinking process are handed over to technology.

In other subjects, students work with messy and unstructured material in NotebookLM. They must define the problem themselves, and then develop and defend their solutions.

The approach depends on the subject, the level of the students, and the learning goals of the specific course.

Choosing the right tools for learning and safety

The decision to choose Gemini and NotebookLM was based on several factors. BI wanted solutions that match the tools students already use, but with the necessary data protection required for academic work.

"NotebookLM was chosen because it works with sources provided by the user. This helps students stay close to their course material and base their insights on evidence," Landfald says.

BI also evaluated the long-term development of Google’s AI platforms. At the same time, strict adherence to GDPR and data protection rules was crucial to ensure the tools could be used safely.

Fostering responsible use

BI’s approach is not about strict control, but about building knowledge and responsibility.

"Students are encouraged to use BI’s approved tools instead of private accounts to protect data privacy. AI literacy is also integrated into courses, covering topics like ethics, bias, environmental impact, and the importance of human judgment," Landfald says.

The focus remains on supporting learning rather than replacing it. The ultimate goal is to equip students to use AI in a smart, responsible, and effective way, making them better prepared for both their studies and their future careers.