Publication | Open Access
Research into the E-Learning Model of Agriculture Technology Companies: Analysis by Deep Learning
15
Citations
16
References
2019
Year
Precision AgricultureE-learningMachine LearningEngineeringAgricultural EconomicsEducationE-learning ModelAgricultural CyberneticsAr Digital LearningAdult LearningInteractive LearningTeaching PracticesLearning StrategiesAgricultural MachineryInstructional TechnologyVirtual Learning EnvironmentsAgriculture Technology CompaniesLearning SciencesWorkplace LearningMachine Learning ModelDesignLearning MethodologyDeep LearningEducational InnovationAgricultural EngineeringTraditional E-learning ModelComputer-based EducationTechnologyLearning DesignDigital Learning
With the advancement of technology, the traditional e-learning model may expand the realm of knowledge and differentiate learning by means of deep learning (DL) and augmented reality (AR) scenarios. These scenarios make use of interactive interfaces that incorporate various operating methods, angles, perceptions, and experiences, and also draw on multimedia content and active interactive models. Modern education emphasizes that learning should occur in the process of constructing knowledge scenarios and should proceed through learning scenarios and activities. Compared to traditional “spoon-feeding” education, the model learning scenario is initiated with the learner at the center, allowing the person involved in the learning activity to solve problems and further develop their individual capabilities through exploring, thinking and a series of interactions and feedback. This study examined how students in the agriculture technological industry make use of AR digital learning to develop their industry-related knowledge and techniques to become stronger and more mature so that they unconsciously apply these techniques as employees, as well as encouraging innovative thought and methods to create new value for the enterprise.
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