A Study on the Evaluation of Innovation and Entrepreneurship Education from the Perspective of Ideological and Political Education Based on Energy Big Data Information
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Abstract
Innovation and entrepreneurship education in the energy sector faces problems such as a single evaluation system, insufficient integration of ideological and political elements, and a lack of big data application. This study constructs an evaluation system for innovation and entrepreneurship education that integrates ideological and political education based on energy big data information. First, evaluation dimensions were determined through literature analysis and expert interviews, including four primary indicators and 12 secondary indicators: value guidance, innovation ability, practical effectiveness, and social responsibility. Second, 2847 samples of innovation and entrepreneurship project data in the energy sector from 2019 to 2024 (Digital Energy Education Database, DEED) from 36 universities were collected, and 127 variables, including project characteristics, ideological and political elements, and achievement transformation, were extracted. Then, a dynamic evaluation model was established using a combination of Analytic Hierarchy Process (AHP) and entropy weight method for weighting, and fuzzy comprehensive evaluation (FCE) was used. Finally, an intelligent evaluation system was developed and applied in 12 pilot universities. The results show that projects with high integration of ideological and political education achieved a sustainable development index of 0.84; the comprehensive effectiveness index jumped from a baseline of 0.52 to 0.78 after 24 months, verifying the effectiveness of the model. This research provides scientific evaluation tools and practical pathways for the reform of innovation and entrepreneurship education in the energy sector.
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