Research on the Innovation of the Teaching Quality Evaluation System in Colleges and Universities Empowered by Artificial Intelligence
Abstract
Against the backdrop of the digital transformation of education, artificial intelligence technology is gradually being integrated into
the construction of teaching quality evaluation systems in higher education, driving a profound reshaping of educational evaluation paradigms.
AI possesses the capability to efficiently process complex data, accurately predict educational outcomes, and provide dynamic feedback for
continuous improvement, injecting a new intelligent engine into the assessment of teaching quality in universities. The transition from static
to dynamic, from experiential to data-driven, and from closed to open systems is becoming increasingly evident, propelling the shift in quality
monitoring from merely "evaluating outcomes" to emphasizing "evaluating processes + evaluating competencies." Exploring multidimensional, objective, fair, and sustainable evaluation mechanisms empowered by AI will become a critical lever for the high-quality development
of higher education.
the construction of teaching quality evaluation systems in higher education, driving a profound reshaping of educational evaluation paradigms.
AI possesses the capability to efficiently process complex data, accurately predict educational outcomes, and provide dynamic feedback for
continuous improvement, injecting a new intelligent engine into the assessment of teaching quality in universities. The transition from static
to dynamic, from experiential to data-driven, and from closed to open systems is becoming increasingly evident, propelling the shift in quality
monitoring from merely "evaluating outcomes" to emphasizing "evaluating processes + evaluating competencies." Exploring multidimensional, objective, fair, and sustainable evaluation mechanisms empowered by AI will become a critical lever for the high-quality development
of higher education.
Keywords
Artificial intelligence; Teaching quality evaluation; Educational technology; Evaluation mechanism
Full Text:
PDFReferences
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DOI: http://dx.doi.org/10.70711/neet.v3i9.7784
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