Case study: AI & research methods

Hannes Peltonen (Tampere): “Hive-minding” AI in Higher Education

Using artificial intelligence (AI) in teaching does not require that the teacher is an AI expert. By “hive-minding” and encouraging peer-learning, practically any course could incorporate the use of AI. In this case study, AI was used as part of a MA-level research methods workshop with approximately 20 students. Various methods were used in practical projects which were then collected into a portfolio that included project reports and a reflection on AI use in the projects.

The workshop’s aim was to strengthen competency in applying research methods. Simultaneously, the participants gained experience of the kinds of practical decisions involved in research projects, in addition to practicing various transferable skills.

One transferable skill exercised was the use of AI. This did not require that the teacher was an AI expert. By relying on the participants to have at least some prior AI experience, on their ability to find more information, and on their imagination as well as peer-learning, it was sufficient to encourage that the groups use AI in productive ways. Some students may be more familiar with AI than a teacher, but this can be turned into an advantage like in this workshop.

Data security and privacy issues needed to be discussed and emphasized, and some examples of AI use were given. These are relatively easily learned by any teacher.

In the workshop, by encouraging an overall trial-and-error atmosphere – just try, don’t be afraid of failing – and by asking the groups to share their ideas and experiences, the participants learned from each other – including the teacher.

Other pedagogical choices were minimal instructions, thus allowing more agency for the participants. Additionally, decision-making skills and other practical and transferable skills such as group-work, planning, and communication were emphasized.