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Title: The Impact of Teachable Machine on Middle School Teachers’ Perceptions of Science Lessons after Professional Development
Technological advances in computer vision and machine learning image and audio classification will continue to improve and evolve. Despite their prevalence, teachers feel ill-prepared to use these technologies to support their students’ learning. To address this, in-service middle school teachers participated in professional development, and middle school students participated in summer camp experiences that included the use of Google’s Teachable Machine, an easy-to-use interface for training machine learning classification models. An overview of Teachable Machine is provided. As well, lessons that highlight the use of Teachable Machine in middle school science are explained. Framed within Personal Construct Theory, an analysis of the impact of the professional development on middle school teachers’ perceptions (n = 17) of science lessons and activities is provided. Implications for future practice and future research are described.  more » « less
Award ID(s):
1949384 1949493
PAR ID:
10520424
Author(s) / Creator(s):
; ; ; ; ;
Publisher / Repository:
MDPI
Date Published:
Journal Name:
Education Sciences
Volume:
14
Issue:
4
ISSN:
2227-7102
Page Range / eLocation ID:
417
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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