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Master Thesis Digital Nudging for Adaptive Skill Learning

In this master thesis, the student should investigate, design and evaluate digital nudging techniques to help student to learn better through individual skill feedback. The aim is to contribute with new human-computer interaction insights for adaptive skill learning based on an existing learning tool (provided by the institute) and nudging theory.

In today’s world most information is readily available and solely reproduction of information is losing attention. This results in a shift of job profiles towards interdisciplinary, ambiguous and creative tasks (vom Brocke et al. 2015). Educational institutions need to evolve in their curricula when it comes to the compositions of skills and knowledge conveyed (Topi 2018). Especially teaching higher order thinking skills to students, such as critical thinking, collaboration or problem-solving, have become more important (Fadel et al. 2015). This has already been recognized by the Organization for Economic Co‐operation and Development (OECD), which included these skills as a major element of their Learning Framework 2030 (OECD 2018).

A promising way to support students to learn metacognition skills and enable teachers to convey it to classes of large sizes and independent from location might be the usage of adaptive technology-based applications in a pedagogical scenario for a student’s learning journey. Therefore, recent advances in Artificial Intelligence (AI) seem to be a promising approach, since Natural Language Processing (NLP) and Machine Learning (ML) offer scalable analyses to identify and classify texts, e.g., to access individual levels of argumentation or empathy.

In this master thesis, the student should investigate, design and evaluate digital nudging techniques to help student to learn better through individual skill feedback. The aim is to contribute with new human-computer interaction insights for adaptive skill learning based on an existing learning tool (provided by the institute) and nudging theory.

You should…

- have a solid understanding of human-computer interaction and/or design of digital interfaces
- have a basic understanding of HTML, Python/ Flask to redesign digital interfaces (or at least be willing to learn and work with it)
- 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 Human-Computer Interaction. 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