Under the background of vigorously promoting the digitalization of education, the digital technology has been deeply integrated with experimental teaching through digital intelligence empowerment, constructing a blended experimental teaching model that combines online and offline approaches. This model assesses, guides, and evaluates students throughout the entire experimental process and provides personalized experimental teaching. By effectively mining and analyzing data from students’ experimental processes, teaching strategies are adjusted in a timely manner to enhance the quality of experimental teaching. Practice has proven that this teaching model can effectively stimulate students’ interest in learning, improve classroom efficiency, achieve real-time monitoring and guidance of student experiments, and meet the personalized experimental needs of students.