Representation and Analysis of Chemistry Core Ideas in Science Education Standards between China and the United States

2015 ◽  
Vol 93 (1) ◽  
pp. 70-78
Author(s):  
Yanlan Wan ◽  
Hualin Bi
Author(s):  
Lizette A. Burks

Since 2013 more than three-quarters of the United States has adopted science education standards based on the Next Generation Science Standards (NGSS). Science education is often integrated with multiple disciplines including technology, engineering, and mathematics (STEM) and in more recent movements integrated with the arts (STEAM). This chapter examined preservice teachers' preconceptions about the practice of developing and using models in science education and practical integration of the arts through this central practice. The results of the study indicated preservice elementary preconception survey scores were higher when describing the practice as a social endeavor than any other aspect of the practice. Using social endeavors as a lever in elementary teacher education can help preservice teachers utilize this critical practice in more expansive ways (investigatory, sensemaking, critiquing). Examining the way the arts manifest in the practice of developing and using models within the NGSS serves as a first step to finding meaningful ways for integration.


2019 ◽  
Vol 51 (2) ◽  
pp. 221-230
Author(s):  
Robert L. Smith ◽  
Paula Fallas Valverde

2017 ◽  
Vol 44 (2) ◽  
pp. 165-183 ◽  
Author(s):  
Min Zhang ◽  
Feng-Ru Sheu ◽  
Yin Zhang

Although Twitter has been widely adopted by professional organisations, there has been a lack of understanding and research on its utilisation. This article presents a study that looks into how five major library and information science (LIS) professional organisations in the United States use Twitter, including the American Library Association (ALA), Special Libraries Association (SLA), Association for Library and Information Science Education (ALISE), Association for Information Science and Technology (ASIS&T) and the iSchools. Specifically explored are the characteristics of Twitter usage, such as prevalent topics or contents, type of users involved, as well as the user influence based on number of mentions and retweets. The article also presents the network interactions among the LIS associations on Twitter. A systematic Twitter analysis framework of descriptive analytics, content analytics, user analysis and network analytics with relevant metrics used in this study can be applied to other studies of Twitter use.


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