@inproceedings{577b0ea77c5a402199fe2b2464f801a3,
title = "An AI-enhanced Pattern Recognition Approach to Analyze Children's Embodied Interactions",
abstract = "This study first presents an approach to the study of computational thinking (CT) as an embodied phenomenon that relies on the creation and analysis of multimodal transcription transcripts. The approach, which incorporates a social semiotic approach to multimodality, is then used to train an artificial intelligence (AI) to recognize patterns in the participant's behaviors that reflect their embodiment of CT during an educational robotics activity. The AI was developed to ease the labor-intensive aspects of creating and analyzing a multimodal transcript. The findings suggested that the AI-enhanced pattern recognition approach identified similar clusters of activity as human analysis, adding a level of confidence to the analysis of children's CT that would be difficult to achieve using human analysis.",
keywords = "Artificial intelligence (AI), Computational thinking (CT), Embodied interactions, Social semiotic approach to multimodality",
author = "Ceren Ocak and Kopcha, {Theodore J.} and Raunak Dey",
note = "Publisher Copyright: Copyright 2021 Asia-Pacific Society for Computers in Education. All rights reserved.; 29th International Conference on Computers in Education Conference, ICCE 2021 ; Conference date: 22-11-2021 Through 26-11-2021",
year = "2021",
month = nov,
day = "22",
language = "English",
series = "29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings",
publisher = "Asia-Pacific Society for Computers in Education",
pages = "273--278",
editor = "Rodrigo, {Maria Mercedes T.} and Sridhar Iyer and Antonija Mitrovic and Cheng, {Hercy N. H.} and Dan Kohen-Vacs and Camillia Matuk and Agnieszka Palalas and Ramkumar Rajenran and Kazuhisa Seta and Jingyun Wang",
booktitle = "29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings",
}