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Master Thesis Argumentation Learning Taxonomy

In this master thesis, the student should analyze and conceptualize current approaches of technology-mediated approaches for adaptive argumentation learning. The aim is to contribute with a systematic literature review and a conceptualization of current approaches and literature in a taxonomy according to the taxonomy development process of Nickerson et al. 2013.

Argumentation is an omnipresent foundation of our daily communication and thinking. The ability to form convincing arguments is not only the fundament for persuading an audience of novel ideas but also plays a major role in strategic decision-making, negotiation and analyzing different standpoints especially in the context of digitalization and its influence on jobs. This has been recognized by the Organization for Economic Cooperation and Development (OECD), which included metacognition skills such as argumentation as a major element of their Learning Framework 2030 (OECD 2018). However, students often struggle to develop argumentation skills due to a lack of individual and instant feedback in their individual learning journey, since providing feedback on the individual argumentation skills of students is very time-consuming and not scalable if conducted manually by the lecturer or tutors.

In this master thesis, the student should analyze and conceptualize current approaches of technology-mediated approaches for adaptive argumentation learning. The aim is to contribute with a systematic literature review and a conceptualization of current approaches and literature in a taxonomy according to the taxonomy development process of Nickerson et al. 2013.

You should…
- have a solid understanding of human-computer interaction and adaptive learning
- be interested in individualized learning applications for adaptive skill learning
- work in an independent and accurate way
- have scientific writing skills in English
- be passionate about digitalization, data science and adaptive learning

We offer you a close supervision and the opportunity to develop practical, as well as theoretical skills in the area of adaptive skill learning. If you are interested, send your CV, transcript of records and a brief description of your motivation to thiemo.wambsganss@unisg.ch.



Publiziert von thiemo.wambsganss@unisg.ch

Kontakt: Thiemo Wambsganss