Design And Research Of Online Course Resources Optimization Based On Eye Movement Technology

The 21 st century has ushered in the era of the knowledge economy.The development of educational modernization and digital education is about future international competitiveness.Modern education supported by information technology will provide a powerful driving force for talent transfer in developing countries.Although at the same time,the advancement of physiological data measurement technology driven by the development of science and technology has already had the basic conditions for the construction of service education,and has gradually been damaged.Researcher's Attention and Research.Researchers are committed to exploring the development and construction of modern education resources and continuously optimizing,and strive to apply the results to actual teaching scenarios to improve the effectiveness of modern education.In this context,this research will focus on applying eye tracking measurement technology to the optimization of online course resources.Through the optimization of resource presentation methods,an online learning cognitive quantification model based on eye tracking technology will be proposed.To this end,the research is carried out from the following aspects:(1)Based on cognitive load theory,a quantitative model of cognitive load for online learning based on eye tracking technology is proposed.This study analyzes the characteristics of cognitive load in an online environment by explaining the nature,necessity,and feasibility of transforming quantitative model transformations,and explains the nature of cognitive load control for online courses.Based on this,it is completed through specific experiments.Remodeling(2)Based on the principles of multimedia optimization design,carry out optimization activities around online human-computer interaction online courses.(3)Carry out learning practice activities,explore the changes in the cognitive load of the optimized multimedia courseware,and measure the impact on learner satisfaction and learning effects.This study analyzed the relevant data in the eye movement measurement experiment between the experimental class and the control class by means of a controlled experiment.Through sufficient learning quizzes and data analysis,this study found:(1)The online course resource simplification model with eye movement technology under the support of theory is sufficiently effective to provide an effective and convenient method for measuring the cognitive load of online courses;(2)The optimization design of online course resources can effectively reduce learner cognitive load,improve learner learning effect,help learners to better carry out learning activities,and the effect is obvious;(3)learners have sufficient resources for optimized online courses,have a high evaluation,and learning intentions expressed by course resources.