Escape Game Chatbot: Co-designing Educational Games for Sustainability

Michael Louis Eulenstein; Thorsten Schoormann

doi:10.1007/978-3-032-11043-5_35

Escape Game Chatbot: Co-designing Educational Games for Sustainability

Michael Louis Eulenstein
, Thorsten Schoormann

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Abstract

The growing use of escape games in education has led to innovative digital tools that support learning and teaching. This paper introduces the Escape Game Chatbot, a ChatGPT-based tool that assists users in co-designing educational escape games through guided narrative planning, puzzle creation, and alignment with learning objectives focused on Sustainable Development Goals. The Escape Game Chatbot aims to lower design barriers for educators and game designers lacking expertise in this context. A formative evaluation with 15 university participants indicates positive impacts on design understanding, creativity support, and the likelihood of the Escape Game Chatbot's reuse.

Originalsprog	Engelsk
Titel	Games and Learning Alliance
Redaktører	Sander Bakkes, Francesco Bellotti, Pierpaolo Dondio, Manuel Ninaus, Vanissa Wannick, Antonio Bucchiarone
Antal sider	6
Udgivelsessted	Cham
Forlag	Springer
Publikationsdato	2026
Sider	363-368
ISBN (Trykt)	978-3-032-11042-8
ISBN (Elektronisk)	978-3-032-11043-5
DOI	https://doi.org/10.1007/978-3-032-11043-5_35
Status	Udgivet - 2026
Begivenhed	14th International Conference on Games and Learning Alliance - Utrecht, Holland Varighed: 19 nov. 2025 → 21 nov. 2025 Konferencens nummer: 14

Konference

Konference	14th International Conference on Games and Learning Alliance
Nummer	14
Land/Område	Holland
By	Utrecht
Periode	19/11/2025 → 21/11/2025

Navn	Lecture Notes in Computer Science
Nummer	16307
ISSN	0302-9743

Adgang til dokumentet

10.1007/978-3-032-11043-5_35

Citationsformater

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title = "Escape Game Chatbot: Co-designing Educational Games for Sustainability",

abstract = "The growing use of escape games in education has led to innovative digital tools that support learning and teaching. This paper introduces the Escape Game Chatbot, a ChatGPT-based tool that assists users in co-designing educational escape games through guided narrative planning, puzzle creation, and alignment with learning objectives focused on Sustainable Development Goals. The Escape Game Chatbot aims to lower design barriers for educators and game designers lacking expertise in this context. A formative evaluation with 15 university participants indicates positive impacts on design understanding, creativity support, and the likelihood of the Escape Game Chatbot's reuse.",

keywords = "Chatbot, Escape Games, Sustainability",

author = "Eulenstein, \{Michael Louis\} and Thorsten Schoormann",

year = "2026",

doi = "10.1007/978-3-032-11043-5\_35",

language = "English",

isbn = "978-3-032-11042-8",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

number = "16307",

pages = "363--368",

editor = "Sander Bakkes and Francesco Bellotti and Pierpaolo Dondio and Manuel Ninaus and Vanissa Wannick and Antonio Bucchiarone",

booktitle = "Games and Learning Alliance",

note = "14th International Conference on Games and Learning Alliance, GALA 2025 ; Conference date: 19-11-2025 Through 21-11-2025",

}

Eulenstein, ML & Schoormann, T 2026, Escape Game Chatbot: Co-designing Educational Games for Sustainability. i S Bakkes, F Bellotti, P Dondio, M Ninaus, V Wannick & A Bucchiarone (red), Games and Learning Alliance. Springer, Cham, Lecture Notes in Computer Science, nr. 16307, s. 363-368, 14th International Conference on Games and Learning Alliance, Utrecht, Holland, 19/11/2025. https://doi.org/10.1007/978-3-032-11043-5_35

Escape Game Chatbot: Co-designing Educational Games for Sustainability. / Eulenstein, Michael Louis; Schoormann, Thorsten.
Games and Learning Alliance. red. / Sander Bakkes; Francesco Bellotti; Pierpaolo Dondio; Manuel Ninaus; Vanissa Wannick; Antonio Bucchiarone. Cham: Springer, 2026. s. 363-368 (Lecture Notes in Computer Science; Nr. 16307).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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