Abstract
In Rebo at Work, chatbot Rebo helps apprentices to reflect on a work experience and associate it with their training's learning objectives. Rebo poses questions that motivate the apprentice to look at a work experience from different angles, pondering how it went, the problems they encountered, what they learned from it, and what they take away for the future. We present preliminary results of a 9-month field study (analysis of 90 interactions of the first 6 months) with 51 apprentices in the fields of metal technology, mechatronics, and electrical engineering. During reflection with Rebo at Work, 98% of apprentices were able to identify their work experience as a learning opportunity and reflect on that, and 83% successfully connected it with a learning objective. This shows that self-monitoring of learning objectives and reflection on work tasks can be guided by a conversational agent and motivates further research in this area.
Originalsprache | englisch |
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Titel | CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems |
Herausgeber (Verlag) | Association of Computing Machinery |
ISBN (elektronisch) | 9781450394222 |
DOIs | |
Publikationsstatus | Veröffentlicht - 19 Apr. 2023 |
Veranstaltung | ACM CHI Conference on Human Factors in Computing Systems: CHI 2023 - Hamburg, Hybrid, Deutschland Dauer: 23 Apr. 2023 → 28 Apr. 2023 |
Konferenz
Konferenz | ACM CHI Conference on Human Factors in Computing Systems |
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Land/Gebiet | Deutschland |
Ort | Hamburg, Hybrid |
Zeitraum | 23/04/23 → 28/04/23 |
ASJC Scopus subject areas
- Human-computer interaction
- Computergrafik und computergestütztes Design
- Software