Decoding Sentiment Signals: Lessons From the Political Reception of the Common Core and Next Generation Science Standards

Conrad Borchers, Yinying Wang, Emily M. Hodge, Joshua M. Rosenberg

Research output: Contribution to journalArticlepeer-review

Abstract

Two major sets of U.S. content standards have changed since 2010: the Common Core State Standards (CCSS) and Next Generation Science Standards (NGSS). Whereas the CCSS received widespread pushback, the NGSS were broadly uncontentious. Why? Drawing from policy learning and networked publics theories, we used mixed-effects modeling to estimate how tweet authors, hashtags, and time explain sentiment in almost 2 million tweets related to both reforms from 2011 to 2023. Politically motivated, negative tweets from heterogeneous individuals and organizations explained CCSS’s sentiment. In contrast, tweets discussing NGSS were more uniform across science education professionals. We propose two educational reform trajectories—(a) politically driven to gradually accepted and (b) niche-specific to widely accepted—to guide future policy actors.

Original languageEnglish
Pages (from-to)396-405
Number of pages10
JournalEducational Researcher
Volume54
Issue number7
DOIs
StatePublished - 1 Aug 2025

Keywords

  • CCSS
  • Common Core State Standards
  • NGSS
  • Next Generation Science Standards
  • education politics
  • educational policy
  • educational reform
  • effect size
  • hierarchical linear modeling
  • policy analysis
  • policy implementation
  • politics
  • regression analyses
  • sentiment analysis
  • social media
  • textual analysis

Fingerprint

Dive into the research topics of 'Decoding Sentiment Signals: Lessons From the Political Reception of the Common Core and Next Generation Science Standards'. Together they form a unique fingerprint.

Cite this