Where Do Queries Come From?

Alaofi, Marwah; Gallagher, Luke; McKay, Dana; Saling, Lauren L.; Sanderson, Mark; Scholer, Falk; Spina, Damiano; White, Ryen W.

doi:10.1145/3477495.3531711

Cited by 12 publications

(1 citation statement)

References 97 publications

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“…Query formulation impacts retrieval effectiveness and the retrieval of different types of resources [6]. We question if variations on prompts used to elicit responses from ChatGPT would result in more (or less) effective responses.…”

Section: Results Discussion and Implicationsmentioning

confidence: 99%

ChatGPT in the Classroom: A Preliminary Exploration on the Feasibility of Adapting ChatGPT to Support Children’s Information Discovery

Murgia

Abbasiantaeb

Aliannejadi

et al. 2023

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

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The influence of ChatGPT and similar models on education is being increasingly discussed. With the current level of enthusiasm among users, ChatGPT is envisioned as having great potential. As generative models are unpredictable in terms of producing biased, harmful, and unsafe content, we argue that they should be comprehensively tested for more vulnerable groups, such as children, to understand what role they can play and what training and supervision are necessary. Here, we present the results of a preliminary exploration aiming to understand whether ChatGPT can adapt to support children in completing information discovery tasks in the education context. We analyze ChatGPT responses to search prompts related to the 4 𝑡ℎ grade classroom curriculum using a variety of lenses (e.g., readability and language) to identify open challenges and limitations that must be addressed by interdisciplinary communities.

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Section: Results Discussion and Implicationsmentioning

confidence: 99%