Competitiveness Strategy of Education Technology Enterprises Based on Intelligent Hardware under the "Double Reduction" Policy-Taking Zuoyebang Learning Machine as an Example
DOI:
https://doi.org/10.54097/yagwje88Keywords:
Double Reduction Policy, Edtech, Zuoyebang, Smart Hardware, Competitiveness.Abstract
China's "Double Reduction" policy was officially implemented in 2021, bringing profound changes to the K12 subject-based after-school training industry, and educational technology enterprises face an urgent need for transformation. As an important carrier of the "non-practical training" track, intelligent hardware has become a key factor for enterprises to find growth points. This paper takes the Zuoyebang learning machine as the research object, uses the PEST model to analyze the impact of the macro environment on the educational hardware industry, and employs the SWOT model to sort out the internal strengths and weaknesses as well as external opportunities and challenges of the Zuoyebang learning machine, focusing on exploring the core role of artificial intelligence technology in building product competitiveness. The study finds that the core competitiveness of the Zuoyebang learning machine stems from its deep question bank data and mature AI algorithms, but it faces challenges in the hardware ecosystem and channel penetration. The paper proposes strategic recommendations such as focusing on deep AI applications, building an integrated software-hardware ecosystem, and expanding compliant education application scenarios, providing references for the sustainable development of educational technology enterprises after the "Double Reduction" policy.
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