AHCI RESEARCH GROUP

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Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2024

Gao, H.; Huai, H.; Yildiz-Degirmenci, S.; Bannert, M.; Kasneci, E.

DataliVR: Transformation of Data Literacy Education through Virtual Reality with ChatGPT-Powered Enhancements Proceedings Article

In: U., Eck; M., Sra; J., Stefanucci; M., Sugimoto; M., Tatzgern; I., Williams (Ed.): Proc. - IEEE Int. Symp. Mixed Augment. Real., ISMAR, pp. 120–129, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-833151647-5 (ISBN).

Abstract | Links | BibTeX | Tags: Adversarial machine learning, Chatbots, ChatGPT, Contrastive Learning, Data driven, Data literacy, Digital transformation, Federated learning, Immersive learning, Language Model, Large language model, Learning experiences, Learning outcome, LLMs, Virtual environments, Virtual Reality

@inproceedings{gao_datalivr_2024,

title = {DataliVR: Transformation of Data Literacy Education through Virtual Reality with ChatGPT-Powered Enhancements},

author = {H. Gao and H. Huai and S. Yildiz-Degirmenci and M. Bannert and E. Kasneci},

editor = {Eck U. and Sra M. and Stefanucci J. and Sugimoto M. and Tatzgern M. and Williams I.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213525613&doi=10.1109%2fISMAR62088.2024.00026&partnerID=40&md5=abdeba7ecfecc8b1d715d633a29bd11d},

doi = {10.1109/ISMAR62088.2024.00026},

isbn = {979-833151647-5 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. - IEEE Int. Symp. Mixed Augment. Real., ISMAR},

pages = {120–129},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Data literacy is essential in today's data-driven world, emphasizing individuals' abilities to effectively manage data and extract meaningful insights. However, traditional classroom-based educational approaches often struggle to fully address the multifaceted nature of data literacy. As education undergoes digital transformation, innovative technologies such as Virtual Reality (VR) offer promising avenues for immersive and engaging learning experiences. This paper introduces DataliVR, a pioneering VR application aimed at enhancing the data literacy skills of university students within a contextual and gamified virtual learning environment. By integrating Large Language Models (LLMs) like ChatGPT as a conversational artificial intelligence (AI) chatbot embodied within a virtual avatar, DataliVR provides personalized learning assistance, enriching user learning experiences. Our study employed an experimental approach, with chatbot availability as the independent variable, analyzing learning experiences and outcomes as dependent variables with a sample of thirty participants. Our approach underscores the effectiveness and user-friendliness of ChatGPT-powered DataliVR in fostering data literacy skills. Moreover, our study examines the impact of the ChatGPT-based AI chatbot on users' learning, revealing significant effects on both learning experiences and outcomes. Our study presents a robust tool for fostering data literacy skills, contributing significantly to the digital advancement of data literacy education through cutting-edge VR and AI technologies. Moreover, our research provides valuable insights and implications for future research endeavors aiming to integrate LLMs (e.g., ChatGPT) into educational VR platforms. © 2024 IEEE.},

keywords = {Adversarial machine learning, Chatbots, ChatGPT, Contrastive Learning, Data driven, Data literacy, Digital transformation, Federated learning, Immersive learning, Language Model, Large language model, Learning experiences, Learning outcome, LLMs, Virtual environments, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}