Direkte Links und Access Keys:

Hauptnavigation überspringen  
Navigationspfad / Breadcrumb überspringen  
Navigation überspringen  

Master Thesis Designing and Evaluating a FAQ-Bot for Education

In this master thesis, the student should investigate, design and evaluate different designs for a FAQ-Bot in education. The aim is to contribute with new human-computer interaction insights for an adaptive FAQ-Bot by designing and evaluating different prototypes in educational settings.

Recent advances in NLP and ML bear the opportunity to design new forms of human–computer interaction with conversational interfaces, also called Conversational Agents (CA). CAs are software programs that are designed to communicate with users through natural language interaction interfaces (Shawar and Atwell 2005). In today’s world, conversational interfaces, such as Amazon’s Alexa, Google’s Assistant or Apple’s Siri, are ubiquitous, with their popularity steadily growing over the past few years (Krassmann et al. 2018). They are implemented in various areas, such as customer service (Hu et al. 2018), counselling (Cameron et al. 2017) or education (Winkler and Söllner 2018). Hobert and Wolff (2019) define CAs used in education as a special form of learning application that interacts with learners individually. A typical scenario in large- or distance-learning settings is the finding of relevant study or organizational information, also-called frequently asked questions (FAQ). A conversational agent for FAQs (FAQ-Bot) might help students to find information faster with around the clock availability and help tutors to focus more on relevant tasks.

In this master thesis, the student should investigate, design and evaluate different designs for a FAQ-Bot in education. The aim is to contribute with new human-computer interaction insights for an adaptive FAQ-Bot by designing and evaluating different prototypes in educational settings.

You should…
- have a solid understanding of design of conversational interfaces (e.g. https://designguidelines.withgoogle.com/conversation/conversation-design/welcome.html)
- have an basic understanding of HTML, Python/ Flask to redesign an existing FAQ-Bot (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 data science. 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