Volume 3,Issue 9
Research on the Pathways for Digital Empowerment in Higher Education Teaching
Against the backdrop of digital transformation, higher education teaching is confronted with systemic limitations inherent in traditional models, including a lack of personalized instructional design, monotonous teaching implementation methods, a rigid evaluation system, and insufficient management efficiency. Based on the theoretical framework of learning sciences, this paper integrates artificial intelligence with digital technologies to systematically construct optimized pathways for digital empowerment in higher education teaching from four dimensions: precision in instructional design, diversification in teaching implementation, intelligence in teaching evaluation, and data-driven management. The research confirms that innovative practices, such as constructing precise learner profiles through big data analysis, integrating VR/AR technology with blended learning, achieving multi-dimensional dynamic assessments via intelligent evaluation systems, and enhancing management collaboration efficiency through data-driven approaches, can effectively overcome the bottlenecks of traditional education. These practices provide theoretical support and practical paradigms for building an equitable and high-quality higher education system.
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