Automatic Riddle Generation for Learning Resources

Parasa, Niharika Sri; Diwan, Chaitali; Srinivasa, Srinath

doi:10.1007/978-3-031-11647-6_66

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…The experiment confirmed the effectiveness of the proposed method while Parasa et al (2022) aimed to deploy a method for automatically generation of conceptual riddles in online learning environments. The riddles generated by the model were evaluated by human evaluators and the results were encouraging.…”

Section: What Were the Contributionsmentioning

confidence: 55%

core technology behind and beyond ChatGPT

Leong,

Sung,

Jones

2023

ijeri

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ChatGPT has garnered significant attention within the education industry. Given the core technology behind ChatGPT is language model, this study aims to critically review related publications and suggest future direction of language model in educational research. We aim to address three questions: i) what is the core technology behind ChatGPT, ii) what is the state of knowledge of related research and iii) the potential research direction. A critical review of related publications was conducted in order to evaluate the current state of knowledge of language model in educational research. In addition, we further suggest a purpose oriented guiding framework for future research of language model in education. Our study promptly responded to the concerns raised by ChatGPT from the education industry and offers the industry with a comprehensive and systematic overview of related technologies. We believe this is the first time that a study has been conducted to systematically review the state of knowledge of language model in educational research.

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Section: What Were the Contributionsmentioning

confidence: 55%