Date
Publisher
arXiv
The emergence of generative artificial intelligence (GenAI) marks a potential inflection point in the way academic information is accessed, raising fundamental questions about the evolving role of search in student learning. This study examines this shift by analyzing longitudinal trends in physics-related search and page-view activity, using declines in traditional search behavior as a quantitative proxy for changes in independent information-seeking practices. We analyze Google Trends data for core concepts in Classical Mechanics and Electromagnetism across three academic years (2022-2025) in more than 20 countries, and complement this analysis with Wikipedia page-view data across seven major languages to establish platform independence. The results reveal a substantial, systematic, and persistent global decline in search and page-view activity across most examined physics topics. The magnitude of this decline is domain-dependent, with Mechanics-related content exhibiting sharper and more consistent reductions than Electromagnetism-related content. Pronounced geographic and linguistic heterogeneity is observed: while English-speaking regions show relative stability or only moderate declines, non-English-speaking regions exhibit substantially larger reductions in traditional, search-based information-seeking activity. Despite the overall decrease in volume, the seasonal structure characteristic of academic activity remains robust. Taken together, these findings indicate a redistribution of physics-related information-seeking behavior in academic contexts where generative tools are increasingly available.
Study at a glance
- Question: How have physics-related search and Wikipedia view patterns changed across topics and countries following the rise of generative AI?
- Setting and data: Google Trends across 20+ countries and Wikipedia page views across 7 languages, covering introductory physics concepts from 2022 to 2025.
- Method: Descriptive analysis and paired-sample t-tests comparing weekly relative search volumes and page views across academic cycles.
Why it matters
The rise of generative AI marks a shift from finding information to generating answers, raising fundamental questions about student study habits and the displacement of established resources.
Key findings
- Global physics search and Wikipedia page views showed widespread, substantial declines between 2022–2023 and 2024–2025, while maintaining their semester-driven seasonal cycles.
- Declines were larger and more consistent for Classical Mechanics concepts than for Electromagnetism concepts across worldwide, Indian, and U.S. data.
- Non-English-speaking countries experienced steep reductions in traditional search often exceeding 50%, whereas English-speaking nations exhibited significantly smaller declines or stability alongside lower generative AI search interest.
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