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SBE sets the tone: new AI application rules for educational development

Interview with associate professor Marco van Gelderen and professor Brian Tjemkes
Concrete guidelines on AI in education - they are here now. At the VU School of Business and Economics (SBE), associate professor Marco van Gelderen and professor Brian Tjemkes, responsible for the Bachelor of Business Administration and the Bachelor of International Business Administration respectively, have played a leading role in this development. With a sharp eye on the dynamics and changes within university education, they have developed a working framework intended to regulate the impact of AI. We are curious: what exactly do these AI rules entail? How do teachers and students respond to them? And are these rules applicable to other faculties?

What has driven the development of AI application rules within SBE? Was there a specific moment when you thought, 'OK, now it has to happen'?
There wasn't necessarily a specific moment. It happened quite gradually, parallel to the rise of an abundance of AI tools increasingly used by students. It became more and more clear that a shift was taking place. During a course taught in period 4 of 2023, it became evident from the analysis of reports that the use of AI was increasing exponentially. This was demonstrated by texts and references that appeared to be generated by AI but were not picked up by standard plagiarism detection software. Teachers found out by reading. We also conducted a survey among teachers in March 2023. It turned out that many teachers were not very aware of the developments around AI. Few had actually experimented with it, as it turned out.The combination of these factors led us, as programme directors, to consider it urgent to regulate and guide the use of AI.

What are the core principles of the AI application rules, and how are they applied concretely within SBE?
The core principle is that our measures encourage and ‘compel action’ by students and teachers. This was not about punishing or sanctioning or taking a legal route, but about raising awareness of the possibilities and opportunities, as well as the dangers. That awareness is our priority, by actively involving and prompting them to take action, we achieve a deeper understanding than if we were to simply send an email.

What do these actions entail exactly?
For teachers, for example, it is mandatory to include a section in the manual. Within this section, they must choose from a predetermined 'AI menu'. In assignments, they then have to select from the following options in this menu: (1) none, (2) light, (3) medium, (4) heavy.

If teachers select option 1, this means that AI is not allowed, with a protected environment for testing also required. With option 2, AI is used for support, allowing students to use it for tasks such as editing and information retrieval. Option 3 actively encourages the use of AI tools, while option 4 indicates that the use of AI is an integral part of the assignment. With options 3 and 4, AI prompts and output must be included in the final report.

Making this AI menu mandatory is performative, and therefore requires that action, as it forces teachers to think about how to deal with AI. Even if they do not want to delve into it and simply select option (1), they will have to consider how to prevent the use and abuse of AI tools. In addition, we asked every teacher to evaluate their course in terms of learning process and assessment, in the light of AI. This allowed us to discuss the design of their course with the teachers.

What about students?
As for the students, we ask them to sign and submit an Own Work Declaration (OWD). In this declaration, they indicate that the final product is their own work. They also indicate that they have completed the assignment in accordance with the guidelines in the menu. If someone does not sign and submit an OWD, the student will not receive a grade for the course. Again, the core principle applies here: the student is compelled to ‘take action’.

Portrait photo of Marco van Gelderen and Brian Tjemkes of VU School of Business and Economics

Signing and submitting the OWD does not prevent fraud, and it also has limited value in imposing sanctions, as fraud is difficult to prove. What the OWD mainly does is make students aware of the importance of completing assignments in line with how the assignment is set up, and creating cognitive dissonance if a student signs something they know is not true.

How did teachers and students respond?
It was important to keep the additional work that the AI menu and the OWD generated within a certain limit. Therefore, we embedded it in a way that it did not result in much extra work. The basic measures are easy to implement, while still facilitating the introduction of AI into the course. As for the students, the intrinsically motivated student responds positively. Even when AI is integrated (options 3 and 4), students are positive, as they then see and experience the possibilities, opportunities, and limitations of using AI tools.

To what extent do you think the SBE AI application rules are applicable to other programmes or universities?
Within SBE, the Business Administration and International Business Administration bachelor's programmes pioneered this approach. As a result, other programmes within SBE have also adopted our initiatives. Outside SBE, our measures are of course applicable as well. The measures taken so far are just a first step. At the end of the academic year, we will conduct an evaluation and consider whether additional or alternative interventions may be necessary.

We want AI not to substitute learning but to support it, thus augmented. Autonomous and critical thinking is our goal, and that is what we want to encourage and teach our students. We are still looking for the optimal alignment. We will not find that optimum, because AI tools are constantly improving and changing. AI application developments and innovations are progressing so fast that we risk falling behind. Eitherway, we need to start thinking differently about education.

What is your advice to teachers considering integrating AI into their teaching practice?
At the student level: approach AI from how you can teach students something, not just how you can detect fraud.

At the teacher level: engage with AI yourself. Don't just have an opinion about it.

At the course level: clearly communicate to students what is expected.

At the programme level: don't try to do too much at once. Build up, experiment, implement on a small scale, and then scale up.

Need more information? Download the SBE AI application rules or consult the Canvas ChatGPT pages.

“More important than the measures is the vision of AI. How do you see AI in relation to educational development: as a threat, opportunity, or radical transformation?”

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